Cognos is a business intelligence platform designed to help organizations of all sizes create and deliver insights to their users. It is used to provide reports and data analytics to decision makers. This tutorial will cover the basics of Cognos, including installation, creating reports and dashboards, and connecting to different data sources.
Cognos is a powerful business intelligence platform that can help organizations of all sizes create and deliver insights to their users. With the right setup and understanding of the software, users can create visually appealing reports and dashboards, connect to different data sources, and use the advanced features to gain even more insight from their data.
Audience
The audience for Cognos is typically business users and IT professionals who work in data-driven organizations. This includes business intelligence (BI) professionals, data analysts, data scientists, IT managers, finance professionals, and other business users who need to access, analyze, and report on data.
Prerequisites
1. Basic knowledge of SQL and database concepts
2. Basic knowledge of the fundamentals of dimensional data modeling
3. Familiarity with data warehousing concepts
4. Knowledge of web-based applications
5. Familiarity with common business intelligence reporting
6. Knowledge of reporting tools such as Excel and Access
7. Understanding of web-based analytics platforms
8. Understanding of common performance metrics
9. Experience with data warehousing and ETL (extract, transform, load) processes.
Data Warehouse – Overview
A data warehouse is a system that stores and organizes data from multiple sources within an organization. This data can then be used for business intelligence, analytics, and reporting. Data warehouses are used to integrate data from multiple sources and provide users with a unified view of the data. This allows for a more efficient and accurate analysis of the data. Data warehouses can also store historical data which can be used to gain insights and make decisions. Data warehouses can be used to store data from a variety of sources, such as relational databases, flat files, and web services. Data warehouses are often used to store data for analytics and reporting purposes, as well as for data mining and predictive analytics.
Features of a Data Warehouse
1. Data Integration: Data warehouses bring together data from multiple sources, including external sources, into a single, coherent repository.
2. Data Consolidation: Data warehouses create a single version of the truth by consolidating and standardizing data from multiple sources.
3. Data Quality: Data warehouses maintain high-quality data by removing duplicates and inconsistencies.
4. Data Security: Data warehouses are secure repositories for sensitive and confidential information.
5. Historical Analysis: Data warehouses store and track historical data, allowing for detailed analysis of past trends and performance.
6. Scalable Architecture: Data warehouses are highly scalable, allowing for the storage and analysis of large amounts of data.
7. Easy Access: Data warehouses provide easy access to data, allowing users to quickly and easily access the information they need.
Data Warehouse Vs Operational Database
Data Warehouse:
A data warehouse is a type of database that is designed to store large amounts of historical data for analytics and reporting purposes. It stores data from multiple sources and is optimized for read-only operations. Data warehouses are typically used for business intelligence, data mining, decision support, and analytics.
Operational Database:
An operational database is a type of database that is designed to store and update transactional data. It is optimized for read/write operations and is used to store current data for online transaction processing (OLTP) applications. Operational databases are typically used for inventory management, customer relationship management, and financial reporting.
Architecture of Data Warehouse
1. Structured Query Language (SQL): SQL is a programming language for querying and manipulating databases. It is used to create and manage databases, as well as to create and execute queries.
2. Extract, Transform and Load (ETL): ETL is a process for extracting data from source systems, transforming it into an appropriate format and loading it into a data warehouse.
3. Data Warehouse: A data warehouse is a database designed to store large amounts of data from multiple sources. It is used to support business intelligence by providing a single source of consistent data for reporting and analysis.
4. Online Analytical Processing (OLAP): OLAP is a type of analytics used for data mining and reporting. It is used to analyze large amounts of data from multiple dimensions.
5. Data Mart: A data mart is a subset of a data warehouse that contains a subset of data, typically for a specific department or user group.
6. Metadata: Metadata is data about data. It is used to describe data in a data warehouse, such as its structure, source, and relationships to other data.
7. Data Governance: Data governance is the process of managing data and ensuring that it is accurate, secure, and compliant with regulations.
Characteristics of a Data Warehouse
1. Subject-Oriented: A data warehouse is subject-oriented, meaning that it is organized around major subjects, such as customer, product, sales, etc.
2. Integrated: A data warehouse is integrated, meaning that it contains data from multiple sources, such as operational systems, external sources, and legacy systems.
3. Time-Variant: A data warehouse is time-variant, meaning that it contains data related to past, present, and future events.
4. Non-Volatile: A data warehouse is non-volatile, meaning that the data it contains is not changed, updated, or deleted.
5. Analytical: A data warehouse is analytical, meaning that it is designed to answer complex business questions.
6. Consolidated: A data warehouse is consolidated, meaning that it contains data from multiple sources that have been integrated and standardized.
OLTP vs OLAP
OLTP (Online Transaction Processing) is a type of information system used to manage and process data from day-to-day business transactions. It is used to update and maintain data in a database, typically in real-time.
OLAP (Online Analytical Processing) is a type of information system used for analyzing and reporting on data from multiple perspectives. It is used to analyze trends, summarize data, and gain insights from raw data.
What is an Aggregation?
An aggregation is a type of association in object-oriented programming that represents a part-whole or part-of relationship. It implies a relationship where the child objects do not have their own lifecycle and cannot exist independently of the parent object. The parent object is responsible for creating and deleting the child objects.
Key Differences
differences between an OLAP and an OLTP system
OLAP (Online Analytical Processing) systems are used for data analysis and decision support, while OLTP (Online Transaction Processing) systems are used to manage and store transaction data.
OLAP systems are designed to provide fast query response times and aggregate data from multiple sources, while OLTP systems are designed to ensure data accuracy and maintain transaction integrity.
OLAP systems are focused on providing analysis of historical data, while OLTP systems are focused on capturing and recording the current state of data.
OLAP systems tend to be read-intensive, while OLTP systems tend to be more write-intensive. OLAP systems also generally use a larger database than OLTP systems.
Data Mart Vs Data Warehouse
Data Marts:
Data marts are smaller, more focused versions of a data warehouse that are used to store and analyze data related to a specific business process, department, or other subset of an organization’s data. Data marts are easy to set up, require fewer resources than data warehouses, and are often used to provide quick answers to specific business questions.
Data Warehouses:
Data warehouses are large scale, centralized repositories of data that are used to store and analyze an organization’s data. Data warehouses are typically used to provide an organization with an integrated view of their data from multiple sources. They are more complex and require more resources than data marts, but they often provide a more comprehensive view of an organization’s data.
Fact vs Dimension Table
Fact tables are tables that contain factual information about a particular subject or business process. They are used to store numerical data about events that have occurred, such as sales, inventory, and production. Fact tables typically contain foreign keys to dimension tables, which provide descriptive information about the events.
Dimension tables are tables that contain descriptive data about a particular subject or business process. They are used to store descriptive data about events, such as customer information, product information, and time information. Dimension tables are often related to fact tables via foreign key relationships.
Data Warehouse – Schema
1. Star Schema: A star schema is the simplest type of data warehouse schema. It is composed of a few fact tables at its center, which are surrounded by multiple dimension tables. The star schema organizes data into facts and dimensions. Facts are the measurable, quantitative data, such as sales and profits, while dimensions are the qualitative data, such as dates, products, and customer details.
2. Snowflake Schema: A snowflake schema is an extension of the star schema. While the star schema has one large fact table surrounded by multiple dimension tables, the snowflake schema has multiple fact tables connected to multiple dimension tables. This design allows for more detailed analysis and more flexibility in the data warehouse.
3. Fact Constellation Schema: A fact constellation schema is a complex data warehouse schema that combines multiple star and snowflake schemas. This schema allows for even more detailed analysis and flexibility than the star or snowflake schemas.
Star Schema
Star schema is a data warehouse architecture that uses fact tables to store data and dimension tables to categorize the data. This type of schema is commonly used in business intelligence and data analysis applications. The star schema is composed of one or more large fact tables that store the measures or metrics of a business process, and a number of much smaller dimension tables that categorize the data. The star schema enables fast and easy access to the data, and is designed to support ad-hoc queries and reporting.
Characteristics of Star Schema
1. It is a type of relational database schema which organizes data into one or more tables.
2. The tables used in a star schema are typically denormalized, meaning that the data is stored in a single table instead of multiple tables.
3. The structure of the star schema is optimized for fast query response times, making it a popular choice for data warehouses.
4. It is a type of dimensional model, meaning that it contains facts and dimensions, which can be used to answer business questions.
5. It is usually composed of a single fact table and multiple dimension tables.
6. The fact table contains the measures or metrics, while the dimension tables contain the attributes or characteristics of the metrics.
7. Data in the fact table is usually organized into columns, while the data in the dimension tables is organized into rows.
Snowflakes Schema
Snowflakes Schema is a type of star schema where the dimension tables are further normalized into multiple related tables. The normalized dimension tables are connected to the fact table using foreign keys. This type of schema is designed to optimize query performance, reduce data redundancy, and improve data integrity.
Fact Constellation Schema (Galaxy Schema)
A Constellation Schema, or Galaxy Schema, is a type of data warehouse architecture which is made up of multiple “star schemas” linked together. A star schema is a data schema which is composed of a single central table, or “fact table”, surrounded by multiple “dimension tables”. The fact table contains key metrics or facts which are associated with the various dimensions of the business. The dimension tables then provide additional context to the facts by storing additional descriptive data related to the dimensions. The constellation schema builds on the star schema by linking multiple star schemas together, thus allowing for the analysis of data across multiple dimensions, as well as integrating data from multiple sources.
Data Warehouse – ETL & Reporting Tools
1. Apache Spark: Apache Spark is an open-source distributed analytics engine that can be used to process large-scale data sets. It is used for ETL (Extract, Transform, Load) operations, stream processing and machine learning.
2. Talend: Talend is a powerful data integration tool used to build ETL pipelines, which can be used for data warehousing, analytics and reporting.
3. Informatica PowerCenter: Informatica PowerCenter is an enterprise-level data integration tool used to build ETL pipelines for data warehousing, analytics and reporting.
4. Pentaho Data Integration: Pentaho Data Integration (PDI) is an open-source ETL tool used to build ETL pipelines for data warehousing, analytics and reporting.
5. Tableau: Tableau is a powerful, interactive data visualization and reporting tool used to create interactive dashboards and powerful data visualizations.
6. Microsoft Power BI: Microsoft Power BI is a data visualization and reporting tool used to create interactive dashboards and powerful data visualizations.
ETL & Reporting Tools
Data extraction is the process of retrieving data from a database, file, or other data source. In the context of ETL (extract, transform, and load) and reporting tools, data extraction involves retrieving data from one or more sources and making it available in a target database or data warehouse for further analysis and reporting. The process of data extraction involves extracting data from multiple sources, such as flat files, databases, NoSQL, and web services, and transforming it into a format that can be used by reporting and analytics tools. The extracted data can then be used to create reports and dashboards to analyze trends and patterns.
Transform
In ETL (Extract, Transform, and Load) tools, data transformation is the process of changing the format, structure, or values of data from the source systems to meet the data requirements of the target system. Examples of transformation tasks include field formatting, data aggregation, and data validation.
In reporting tools, data transformation is the process of changing the format or structure of data from the source system into a format that is suitable for reporting purposes. Examples of transformation tasks include data aggregation, data sorting, and data formatting.
Load
The load phase is the stage in program execution when the program is loaded into memory and initialized. During this phase, the program code is read from storage and placed into memory, data is initialized, and other resources such as files and network connections are prepared for use. Once the program is loaded, it is ready to be executed.
BI Reporting Tool
This is a reporting tool that was built with Python and PostgreSQL. It provides insight into a company’s data stored in a database. It prints out reports based on questions that are asked.
The tool is designed to be used by business analysts and other stakeholders. It helps them to easily query and analyse data stored in the database. It also helps them to quickly identify trends and anomalies, and to make informed decisions based on the data.
The tool is designed to be simple to use and requires minimal setup. It can be used to answer a variety of questions, from simple queries to complex ones. It can also be used to generate reports that can be shared with stakeholders.
The tool is built with open-source technologies, which makes it easy to customize and extend. It can be used with a variety of databases, including MySQL, PostgreSQL, and SQLite. It can also be used with a variety of programming languages, including Python, Java, and C#.
There are quite a few BI Reporting, Dashboard and Data Visualization Tools available in the market. Some of which are as follows:
1. Tableau: Tableau is an advanced analytics and data visualization tool used for data exploration, visualization, and dashboarding. Tableau offers a wide range of features to help users create interactive dashboards and reports.
2. Microsoft Power BI: Microsoft Power BI is a business intelligence tool that provides a comprehensive suite of data analysis, data visualization, and reporting tools. Power BI enables users to quickly and easily create interactive dashboards, reports, and insights.
3. Qlik Sense: Qlik Sense is a business intelligence and analytics platform that provides a comprehensive set of features for data exploration, analysis, and visualization. It offers a wide range of features for data discovery, analysis, and reporting.
4. SAS Visual Analytics: SAS Visual Analytics is an advanced analytics and data visualization tool used for data exploration, analysis, and reporting. It offers a comprehensive suite of features for data analysis, visualization, and reporting.
5. Domo: Domo is a cloud-based business intelligence and analytics platform used for data exploration, visualization, and reporting. It offers a wide range of features for data discovery, analysis, and reporting.
Cognos – Introduction
Cognos is a business intelligence software suite developed by IBM and used to analyze and report on data. It is used by organizations to create reports, dashboards and visualizations to gain insight from their data. Cognos is used by organizations to predict trends, identify relationships and identify patterns in data. It provides a platform for data mining, data exploration, predictive analytics, text mining and more. The software can also be used to generate reports, scorecards, web-based applications and more.
Key Features of IBM Cognos
1. Comprehensive Reporting and Analysis: IBM Cognos provides powerful capabilities for creating and delivering reports, dashboards, and scorecards. It also offers support for ad hoc analysis, drill-down and interactive reporting, and self-service analytics.
2. Scalable Platform: IBM Cognos is a highly scalable platform that can support hundreds of thousands of users. It has a robust architecture that is designed to meet the demands of large-scale deployments.
3. Security and Control: IBM Cognos offers comprehensive security and control features that allow you to control access to data and manage user permissions. It also provides support for Single Sign-On (SSO) and directory integration.
4. Data Connectivity: IBM Cognos supports a wide range of data sources, including relational databases, cubes, and flat files. It also offers support for real-time and streaming data sources.
5. Mobile Support: IBM Cognos provides support for mobile devices, including iPads, iPhones, and Android devices. It also offers support for HTML5, allowing users to view content on any device with a web browser.
6. Integration Tools: IBM Cognos offers a range of integration tools, including web services and APIs, that allow you to integrate it with other applications and systems.
3-Tier Architecture Cognos
3-Tier Architecture Cognos is a software architecture that divides a computing system into three distinct tiers: the presentation tier, the application tier, and the data tier. The presentation tier handles the user interface and the presentation of data, the application tier handles the business logic and data access, and the data tier handles the data storage and retrieval. This architecture allows for increased scalability, flexibility, and security of the system.
Tier-1 Web Clients
Tier-1 web clients are web browsers, such as Google Chrome and Mozilla Firefox, that are designed to provide users with an optimal web experience. They are designed to provide the best possible performance, support the latest web standards and technologies, and provide users with an easy to use interface. They also offer features such as tabbed browsing, spell-check and auto-fill.
Tier-2 Web Application Server
A Tier-2 web application server is an application server that provides more advanced services than the basic functions of a Tier-1 web server. Tier-2 servers typically support more application development and integration features, such as database access, web services, security, and scalability. Examples of Tier-2 web application servers include Microsoft IIS, Apache Tomcat, Oracle WebLogic, and IBM WebSphere.
Tier-3 Data
Tier 3 data is the most detailed level of data and typically includes the most granular information. It usually consists of detailed transaction-level data, such as individual customer purchase orders, sales orders, and pricing. It may also include inventory data, customer demographics, or other detailed business information. Tier 3 data is typically used in analytics and reporting to get a deeper understanding of a company’s performance and operations.
Cognos Versions
Cognos Analytics 11.1
Cognos 10
Cognos 8.4
Cognos 8.3
Cognos 8.2
Cognos 8.1
Cognos 8
Cognos 7.5
Cognos 7.4
Cognos 7.3
Cognos 7.2
Cognos vs Other BI Reporting Tools
Cognos is a popular Business Intelligence (BI) reporting tool suite used by many organizations to help make better decisions. It has a wide range of features and capabilities that enable users to easily create and manage their reports. It is an ideal choice for organizations that need to analyze data quickly and accurately.
Cognos is very user-friendly and offers a variety of data visualization options, allowing users to identify patterns and trends in their data quickly and easily. It is also highly customizable, allowing users to create reports that are tailored to their specific needs.
Other BI reporting tools like Tableau, QlikView and Microsoft Power BI also offer similar features and capabilities. However, Cognos is considered to have an edge over these other BI tools in terms of ease of use and customization. It also offers more comprehensive support for data integration, making it easier to combine data from multiple sources. Additionally, it has a strong focus on security, ensuring that sensitive data remains safe and secure.
Cognos vs Microsoft BI (Source: www.trustradius.com)
Cognos and Microsoft BI are both comprehensive business intelligence solutions that offer a range of features and capabilities.
Cognos is designed to be a complete business intelligence platform that provides data visualization, analytics, and reporting capabilities. It also offers a wide range of features and customization options to help users tailor the platform to their needs. It also has a robust system of security and access controls.
Microsoft BI, on the other hand, is a suite of products that includes Microsoft Power BI, Excel, and Azure. Power BI provides features such as data visualization, dashboards, analytics, and reporting, while Excel is a popular spreadsheet application. Azure provides cloud-based services such as storage, analytics, and machine learning.
Both Cognos and Microsoft BI offer powerful business intelligence solutions, but the choice of which to use depends on the specific needs of the organization. For instance, if an organization is looking for a powerful, customizable, and secure platform, Cognos may be the better option. On the other hand, if an organization is looking for an integrated suite of products, Microsoft BI may be the better choice.
IBM Cognos vs SAP Business Objects
IBM Cognos and SAP Business Objects both offer powerful business intelligence solutions. IBM Cognos is popular for its intuitive user experience and ease of implementation. It is a comprehensive suite of analytics and reporting tools, which can be used to quickly gain insights from data. SAP Business Objects is an enterprise reporting and analysis platform, with features such as data visualization, predictive analytics, and mobile access. It is an integrated suite of tools for data preparation, reporting, and analysis. Both solutions offer a wide range of features, but IBM Cognos is better suited to smaller organizations with limited resources. SAP Business Objects is more suitable for larger organizations with complex data models.
Cognos – Components and Services
Cognos is an IBM business intelligence (BI) software solution that helps organizations extract meaningful insights from their data. It is a comprehensive solution that provides a range of components and services to help organizations to create, deploy, and manage BI solutions.
Components:
1. Cognos Framework Manager – This is the metadata modeling and management tool which helps business users to create and manage data models for their BI projects.
2. Cognos Report Studio – Cognos Report Studio is a powerful tool that helps in creating and managing reports. It has a user-friendly interface and helps to create professional-looking reports.
3. Cognos Query Studio – This is a self-service reporting tool which lets users create adhoc reports without any technical help. It is easy to use and has a simple drag-and-drop interface.
4. Cognos Analysis Studio – This is a multi-dimensional analysis tool which helps to analyze complex data. It has features like pivoting, slicing, and dicing.
5. Cognos Event Studio – This is an event-driven scheduling tool which helps to automate the scheduling, execution, and distribution of reports.
Services:
1. Cognos Business Intelligence – This is the core service of Cognos which provides an integrated platform to create, deploy and manage business intelligence solutions.
2. Cognos Integration Services – This is a range of services which helps to integrate the Cognos platform with other applications and systems.
3. Cognos Analytics – This is a cloud-based analytics platform which helps to analyze data and create powerful insights.
4. Cognos Data Integration – This service helps to integrate data from multiple sources and build data warehouses and data marts.
5. Cognos Infrastructure Services – This service helps to manage and monitor the Cognos environment.
Gateways
Cognos Gateway is the main access point for all Cognos services. It is responsible for user authentication and authorization, and for passing requests for Cognos services to the appropriate Cognos server. The Cognos gateway also acts as a single secure entry point to the Cognos environment. It is the first point of contact for clients and provides a secure connection to the Cognos environment. It provides a single sign-on solution, allowing users to log in once and gain access to all Cognos services. It also provides centralized administration and authentication of users and groups.
Application Tier Components
1. Cognos Connection: It is a Web-based interface that provides an administrative and development platform for the Cognos platform. It allows administrators to manage data access, security, and system settings.
2. Query Studio: It is a tool used to create ad-hoc reports. It is used to create simple, single page reports based on data stored in a relational database.
3. Report Studio: It is a tool used to create professional reports. It allows users to create complex, multi-page reports which can then be published in various formats including HTML, PDF, and Excel.
4. Analysis Studio: It is a tool used to analyze data in a multi-dimensional fashion. It allows users to create pivot tables, charts, and crosstabs using data from multiple sources.
5. Event Studio: It is a tool used to set up automated events and notifications. It allows users to set up alerts and notifications based on data changes, user input, and other conditions.
6. Framework Manager: It is a tool used to create metadata models. It allows users to create business models which can be used to access data from multiple sources in a consistent and unified manner.
7. Cognos Administration: It is a web-based interface used to manage the Cognos environment. It allows administrators to manage system settings, user access, and security.
Content Manager
Content Manager in Cognos is a web-based application that is used for managing and organizing the various types of content used for creating and managing Cognos reports. The application is used for storing and managing various types of content such as reports, metrics, dimensions, cubes, packages, and more. It also provides an interface for defining data sources, security, and other related information. Content Manager also supports the development of reports with IBM Cognos software.
Cognos – Connections
Cognos Connections is a web-based collaboration platform that enables users to easily manage, share and interact with business intelligence (BI) content created in IBM Cognos software. It allows users to collaborate around data and insights, and help organizations to gain a better understanding of their business. It also provides an efficient way to access and manage the vast amounts of data, reports and dashboards that are generated with the help of IBM Cognos. It provides tools for users to quickly and easily share their insights, create and update reports, and obtain the latest data from their enterprise data warehouse. Additionally, Cognos Connections also provides data discovery and analytics capabilities to help organizations gain further insights into their data.
Connecting Different Data Sources
Data can be connected from different sources by using a variety of different methods. For example, data can be connected by using an ETL (Extract, Transform, Load) process. This involves extracting data from one source, transforming it into a format suitable for the target database, and loading it into the target database. Other methods include using APIs, data integration tools, and database replication. Each method has its own advantages and disadvantages and should be chosen based on the needs of the project.
Dynamic Query Mode
Dynamic query mode is a query mode that allows the user to build and execute SQL queries on the fly, without the need to create a static query beforehand. It can be used to quickly obtain results from a database without having to create a static query. The user can specify criteria, conditions, and other parameters to construct a dynamic query. The query is then executed against the database in real time, returning the results in an organized manner. Dynamic query mode allows for the creation of complex queries without the need to write a static SQL query. This makes it easier and faster to get the information the user wants from the database.
DB2 Data Sources
1. IBM Db2 on Cloud
2. IBM Db2 Warehouse
3. IBM Db2 on Linux, UNIX, and Windows
4. IBM dashDB
5. IBM Db2 Big SQL
6. IBM Db2 Event Store
7. IBM Db2 Hosted
8. IBM Db2 Data Server Manager
Creating a Data Source Connection in IBM Cognos
1. Open IBM Cognos Connection.
2. Click the “Data Source Connections” icon on the left-hand side of the window.
3. Click “New”.
4. Select the type of data source you want to use (e.g. Oracle, SQL Server, ODBC, etc.).
5. Enter the connection details (e.g. server name, port number, database name, username, password).
6. Click “Test” to ensure the connection is successful.
7. Click “OK” to save the connection.
8. The connection will now be listed in the “Data Source Connections” window.
Data Source Security Setup
Data source security setups can vary depending on the specific data source and its associated security protocols. In general, however, data source security setup involves setting up user roles and permissions, encrypting data, establishing access control mechanisms, and implementing other security measures such as firewalls and intrusion detection systems. Depending on the data source, security setup may also include setting up authentication protocols, such as two-factor authentication or single sign-on. Additionally, data source security setup may include configuring data logging and audit trails, as well as setting up data masking and other data privacy measures.
Cognos – Packages
Cognos Packages are a collection of assets including reports, queries, cubes, dashboards and other content that a Cognos user can use to create and manage their business intelligence applications. Packages are used to provide users with access to the data that they need in order to make the best decisions for their organizations. They are typically created by an administrator and shared among various users in the organization. Packages are also used to provide users with an easy way to access the data in the most efficient way. Packages can be created from scratch or by using existing templates.
How to Create a Package?
1. Choose a programming language: You’ll want to choose a language that is easy to use and that has a wealth of libraries and resources available. Common choices are C#, Java, JavaScript, Python, and Ruby.
2. Set up a development environment: You’ll need to set up a development environment on your computer. This will involve downloading and installing the language you chose in step one.
3. Decide on a package manager: Choose a package manager to help you package and distribute your code. Popular package managers include NPM, Yarn, and Bower.
4. Create a package: Create a package following the instructions for the package manager you chose. This will involve creating a manifest file containing the package’s name, version, and dependencies.
5. Publish your package: Publish your package to a public repository such as NPM, Yarn, or Bower. This will make it available for others to install and use.
6. Document and promote your package: Make sure to provide clear documentation and examples for your package. Don’t forget to promote your package on social media and other channels to get more eyes on it.
Creating a New Package
1. Create a directory for your new package.
2. Create a package.json file in the directory. This is a JSON file that contains metadata about your package, such as its name, version, and dependencies.
3. Create an index.js file. This is the main entry point for your package.
4. Write your package code in the index.js file.
5. Test your package by running it with the “node” command.
6. Publish your package to a package manager such as npm or yarn.
Scheduling Reports in IBM Cognos
IBM Cognos provides an easy to use tool to schedule reports. This allows users to set up automated report runs, ensuring that they always have up-to-date information. Scheduling reports can be done in a few simple steps:
1. Open the report you want to schedule.
2. Click the “Schedule” button in the report viewer window.
3. From the “Schedule” window, select the “Frequency” you want the report to be generated.
4. Select the “Time” when the report should be generated.
5. Select the “Delivery Options” you want for the report (e.g. email, FTP, etc.).
6. Click “Save” to save the schedule.
7. You will now see the scheduled report in the “Scheduled Reports” list in the Configuration section of IBM Cognos.
You can also use IBM Cognos to schedule reports to run at specific dates and times, or to run periodically over a set period of time. This can be done via the “Schedule Multiple Reports” option. Scheduled reports can be edited or deleted at any time.
Cognos – Framework Manager
Cognos Framework Manager is a metadata modeling tool used to create and manage metadata layers for Cognos Business Intelligence. It is used to define the metadata from one or more data sources, such as relational databases, cubes, and flat files. Framework Manager enables users to create models that represent the structure of the underlying data sources and to map the data sources to the packages that are used in IBM Cognos BI. The Cognos Framework Manager helps to speed up the development and deployment of reporting applications by allowing users to define relationships between data sources and to create a single logical representation of the data. This logical representation can then be used to create reports, dashboards, and other analytics applications. With Cognos Framework Manager, users can easily and quickly create reports and dashboards that meet their business needs.
What is a Framework Manager?
Framework Manager is a tool used in IBM Cognos software to help create and manage business intelligence (BI) metadata models. It provides a graphical user interface that enables users to create, maintain, and publish models which can be used to develop reports, dashboards, and other BI content. Framework Manager simplifies the process of creating and publishing models by providing an easy-to-use interface for creating, validating, and publishing metadata models. Additionally, Framework Manager enables users to create multiple versions of a model, allowing for greater flexibility and control over the model.
Metadata Modeling
Metadata modeling is the process of designing and constructing metadata to describe the data within an organization. This includes creating data models, classifying data elements, and developing a metadata repository. Metadata modeling is important for organizations because it helps them organize and store data in a way that is easily understood and accessed. It can also help to ensure data accuracy, improve search capabilities, and reduce redundancy.
IBM Cognos Framework Manager User Interface
IBM Cognos Framework Manager is a tool that helps users create and manage metadata models for use by IBM Cognos Business Intelligence (BI) and other reporting solutions. It provides a graphical user interface (GUI) for designing, creating, and publishing metadata models for use in reporting, analysis, and decision-making. The user interface of Framework Manager is divided into four main sections: Model Explorer, Model Properties, Model Diagram, and Model Validation. The Model Explorer window contains a hierarchical view of the objects that make up the metadata model, such as cubes, packages, queries, and metrics. The Model Properties window displays the properties of the selected object and allows users to edit them. The Model Diagram window displays a graphical representation of the metadata model, and the Model Validation window allows users to check the model for errors.
Importing Metadata from a Relational Database
In order to import metadata from a relational database, the user must first connect to the database using a database management system. Once connected, the user can query the database to retrieve the desired metadata. Depending on the database management system being used, the user may be able to use a graphical user interface to construct queries and view the results. Alternatively, the user may manually write SQL queries to retrieve the metadata. After the query has been executed, the user can save or export the metadata to a file for further use.
Importing Metadata from Cognos 8 Model
Metadata can be imported from Cognos 8 models into other applications, such as Tableau, using the native Cognos 8 web services. This process requires the use of a web service client, such as SoapUI, to access the Cognos 8 web services and retrieve the metadata. Once retrieved, the metadata can be exported in XML or other formats and used for further analysis or data visualization in other applications.
Modeling Relational Metadata
Relational metadata is data that is stored in a relational database and is used to describe the structure and relationships between other data stored in the same database. This metadata can be used to describe the structure of the database, such as the tables and columns in the database, as well as the relationships between the tables and columns, such as which columns are foreign keys. It can also be used to describe the data within the database, such as data types, default values, and constraints.
Cognos – Relationships in Metadata Model
Cognos uses a metadata model to define relationships between data sources and objects. For example, it can define relationships between tables, columns, and measures. This allows Cognos to automatically generate hierarchies and reports. Relationships can be set up in the Model Editor, which is a visual representation of the metadata model. The relationships are based on the data sources that have been imported into Cognos. They are used to define the data structure of the model and to determine how the data is presented in Cognos reports. The relationships can be set up in the Model Editor by dragging and dropping objects that are connected to each other. Each relationship is defined by its type, which can be either one-to-many or many-to-many. The relationships between objects can be further defined by adding filters, conditionals, and calculations.
Cardinality Concept
The cardinality concept is a mathematical concept that describes the number of elements in a set. It is a measure of the size of a set and can be expressed either as a finite number or an infinite number. Cardinality is usually denoted by a capital letter, such as N for the set of natural numbers. Cardinality is distinct from cardinality ratio, which is a measure of the relative sizes of two sets.
While using the Relational database as a data source, Cardinality can be defined considering the following rules:
1. One-to-One Cardinality: This type of relationship is when one record in a table can be related to only one record in another table. For example, a customer can have only one account in a banking system.
2. One-to-Many Cardinality: This type of relationship is when one record in a table can be related to multiple records in another table. For example, a customer can have multiple orders in an e-commerce system.
3. Many-to-Many Cardinality: This type of relationship is when multiple records in a table can be related to multiple records in another table. For example, a student can have multiple courses in a university system, and a course can have multiple students.
Relationship Notation in Metadata Model
Relationship notation in a metadata model is used to illustrate the relationships between entities. It is typically represented by arrows pointing from one entity to another, indicating the direction of the relationship. For example, a one-to-many relationship might be represented by an arrow pointing from one entity to many other entities. The strength of the relationship can also be indicated, usually by using a thicker line or an annotation next to the arrow.
Creating or Modifying the Relationships
Creating relationships:
1. To create a relationship between two tables, first identify the common fields or columns between the two tables.
2. Next, determine whether the relationship is one-to-one or one-to-many.
3. Then, create the relationship by using SQL commands to map the two tables together.
4. Finally, test the relationship to make sure that it works properly.
Modifying relationships:
1. To modify an existing relationship between two tables, first identify the existing relationship.
2. Next, determine if you need to change the type of relationship (for example, from one-to-one to one-to-many).
3. Then, modify the existing relationship by using SQL commands to change the mapping between the two tables.
4. Finally, test the modified relationship to make sure that it works properly.
Creating a Relationship Shortcut
1. Open your browser and go to your online accounts.
2. Select the account you want to create the relationship shortcut for.
3. Click the Settings or Options tab at the top of the page.
4. Look for the section labeled “Relationships” or “Connections” and click it.
5. Follow the instructions to enter the information for the person you want to create a relationship shortcut for.
6. Once the information is entered, click the “Create” or “Save” button to create the relationship shortcut.
7. You should now be able to see the new relationship shortcut on your account page.
Create a Query Subject
A query subject is a logical table of data in a Cognos report. An example of a query subject is a table that shows the number of orders placed by customers in a particular month. The columns in this query subject would be the customer’s name, the month the order was placed, and the number of orders.
Edit SQL
UPDATE customers
SET address = ‘123 Main Street’
WHERE customer_id = 1234;
Change Type of SQ
SQL can be categorized into two main types:
1. Structured Query Language (SQL): This type of SQL is used to query and manipulate data stored in relational databases. It is the most commonly used type of SQL. It is used to create, alter, and delete database objects, as well as query and manipulate data in the database.
2. NoSQL: This type of SQL is used for working with data stored in non-relational databases. It is used for distributed data storage, scalability, and performance. It is becoming increasingly popular due to its ability to handle large amounts of data, as well as its flexibility and scalability.
Cognos – Query Studio
Cognos Query Studio is a web-based tool used to create basic reports and ad-hoc queries on a Cognos Business Intelligence server. Query Studio enables end users to quickly create reports based on predefined report templates or existing reports. It is designed to provide an easy-to-use interface for the average user to create their own reports without the need for complicated report authoring tools or SQL expertise. It is typically used to create simple reports for departments or small organizations that do not require the more complex features of the other Cognos report authoring tools. It is available as a component of Cognos Business Intelligence.
Cognos – Ad-hoc Reports
Cognos ad-hoc reports are self-service reports that allow users to quickly create on-demand reports. They are designed to be created and used by non-technical users. Ad-hoc reports allow users to explore data, filter results, and customize reports. They can be saved and shared with other users, and can also be used to create dashboards, graphs, and charts. Ad-hoc reports can be used to answer specific business questions, such as sales trends, customer satisfaction, and inventory levels.
Cognos – Report Types
1. List Reports: List reports are the most basic type of report. They are used to display lists of data without any calculations or analysis.
2. Crosstab Reports: Crosstab reports are used to display data in a matrix format, with multiple columns and rows. They are used to compare data across multiple categories and find relationships.
3. Chart Reports: Chart reports are used to display data in a graphical format. They are used to analyze trends and track performance.
4. Page Reports: Page reports are used to create reports with multiple pages. They can be used to display different types of data on each page
5. Master-Detail Reports: Master-detail reports are used to display a master list of data and detail information related to each item in the list.
6. Active Reports: Active reports are interactive reports that allow users to explore data and customize the report view. They are often used to create mobile-friendly reports.
Cognos – Creating a Report
1. Launch Cognos Report Studio and connect to the data warehouse.
2. Select the data you need for your report.
3. Arrange the data in your report using the report page layout tools.
4. Add any necessary calculations like totals, averages, etc.
5. Add any necessary filters and prompts to the report.
6. Format the report to desired specifications.
7. Test and save the report.
8. Publish the report to the Cognos portal.
Cognos – Open an Existing Report
1. Launch the Cognos Connection page by entering the URL into your browser.
2. Log in to the application using your appropriate credentials.
3. On the Cognos Connection page, click the ‘Open’ button from the top-right corner.
4. Select ‘My Folders’ or ‘Public Folders’ from the left side panel.
5. Browse the folder structure to locate the existing report.
6. Select the checkbox next to the report and click ‘Open’.
7. The existing report will open in a new window.
Cognos – Add Data to a Report
1. Open the report in Cognos.
2. Click on the “Data” tab in the menu bar at the top of the report.
3. Select “Add Data” from the drop-down menu.
4. Select the data item(s) you wish to add to the report.
5. Click the “OK” button.
6. The data items you selected will be added to the report.
7. To rearrange the order of the data items, click and drag them into the desired order.
8. When you are finished, click the “OK” button to save your changes.
Saving a Report with a different Name and Location
1. Open the report you want to save in Cognos.
2. Click File in the top menu.
3. Select Save As.
4. Enter a new name and select a new location for the report.
5. Click the Save button.
Cognos – Run a Repor
1. Open the Cognos Connection application.
2. In the left navigation pane, expand the folder containing the report you wish to run.
3. Select the report you wish to run.
4. In the report view, click the Run button at the top of the screen.
5. Select the output format you wish to use (HTML, PDF, etc.).
6. Select any other options you wish to use, such as prompt values, run options, etc.
7. Click the Run button at the bottom of the screen.
8. The report will run, and you will receive a notification when it is complete.
Run a Report in PDF, XML, and CSV format
1. Open the report in the Cognos Report Studio.
2. Click on the ‘Run’ button to open the Run Report dialog box.
3. In the Output Format section, select the output format you wish to use (PDF, XML, or CSV).
4. Click the ‘Run’ button to generate the report in the selected output format.
5. The report will be generated in the specified output format and saved in the designated folder.
Cognos – Printing a Report
1. Choose the report you want to print.
2. Select the Print option from the File drop-down menu.
3. Select the type of report you want to print.
4. Adjust the printer settings, such as the paper size, margins, orientation, etc.
5. Select the “Print” button to begin printing the report.
Cognos – Report Studio
Cognos Report Studio is a web-based report authoring tool that enables users to create, customize, and deliver business reports. It is used to create, modify, and deliver reports based on diverse data sources. Report Studio provides a graphical user interface with drag and drop capabilities, allowing users to quickly and easily create complex reports. Report Studio can be used to create reports from relational, dimensional, and other data sources such as flat files, Excel spreadsheets, and XML. Reports created in Report Studio can be easily published and distributed to users in multiple formats such as HTML, PDF, and Excel.
How to Create a Report in Report Studio?
1. Open Report Studio and select the appropriate package to work with.
2. Click the Create button in the report studio toolbar to launch the Report Wizard.
3. Select the data source type, such as relational or dimensional.
4. Select the data source for the report.
5. Select the objects you want to use in the report.
6. Set up the report layout and properties, such as titles and footers.
7. Create calculations, sorts, and filters.
8. Create charts, graphs, and crosstabs.
9. Preview the report to verify the results.
10. Save the report.
How to Open Report Studio?
1. Log in to your Cognos Connection.
2. Click the “Launch” button in the “Authoring” area.
3. Select “Report Studio” from the list of available studios.
4. Select a package from the list of available packages.
5. The Report Studio will open in a new window.
Cognos – Report Templates
Cognos Report Templates are pre-built report structures that provide a consistent look and feel for reports. They can be used to quickly create new reports, as well as to improve the speed and accuracy of existing report development. Report templates can be used to create a variety of reports, such as dashboards, financial statements, customer profiles, and more. They can also be used to improve the efficiency and consistency of report creation, as well as to reduce the amount of time and effort needed to develop reports.
Crosstab in Cognos
Crosstab in Cognos is a report item in the Cognos BI suite of software products. It is used to display summarized information in a tabular format, with one or more dimension members shown as rows and columns. The data can be aggregated and displayed in the crosstab by various statistical functions, such as sum, count, average, minimum, maximum, etc. The crosstab is also interactive and allows users to drill down and up on the data to view more detailed or summarized information.
List Report
A List Report in Cognos is a report that displays data in a simple, tabular format. It is one of the most basic and commonly used report types. It is used to display data in a grid format, with each row representing a record and each column representing a field of data. List reports can be sorted, grouped, and filtered, and they can also include calculations, such as totals and averages. List reports can be used in a variety of contexts, such as to display customer data, to show sales figures, or to report on employee performance.
Chart
A Chart in Cognos is a graphical representation of data used to visually identify trends, patterns, and correlations. It is used to summarize data in a way that’s easier to understand than looking at rows and columns of data. Charts are used to give an overview of the data quickly and help to identify areas that need further investigation. Cognos offers a wide variety of chart types and customization options, so that users can create visually appealing charts that accurately represent their data.
Map
Cognos is a suite of business intelligence solutions from IBM. It is used to create and deliver reports, queries, and analyses to help businesses make informed decisions. Cognos Map is a component of Cognos that allows users to visualize their data geographically. It allows users to display their data on maps, which can be customized with different colors, symbols, and labels. Additionally, Cognos Map allows users to perform spatial analysis, including measuring distances, identifying patterns, and analyzing trends. Cognos Map is used by businesses to gain valuable insights into their data and to make better decisions.
Repeater
Cognos Repeater is a powerful reporting and analysis tool used to create visually appealing and highly interactive dashboards and reports. It is used to assess trends and visualize data in a variety of ways, such as bar and line graphs, pie charts, maps, and more. It can be used to analyze data from multiple sources, such as databases, spreadsheets, and other applications. It also includes features such as automatic data refresh, data drill-down, and advanced analytics. It is a great tool for creating custom reports and dashboards.
Cognos – List Report
A list report is a type of report in Cognos that displays data in a tabular format. It is the simplest type of report available in Cognos and is used to display data in an organized, easy to read format. It is often used when the data needs to be presented in an easy to read table format. List reports are typically used to display data from a single data source and do not require complex calculations or transformations.
Cognos – Crosstab Report
A Cognos crosstab report is an interactive report used to display data in a tabular format. It allows users to compare data across multiple dimensions, such as regions, products, time periods, and more. The crosstab report enables users to quickly identify trends, patterns, and outliers in the data. The report can be generated in various formats, such as HTML, PDF, or Excel. The crosstab report is a great way to quickly explore data and can be used for a variety of tasks, from analyzing customer satisfaction to forecasting future sales.
Formatting a Crosstab
To format a crosstab, you can use formatting options such as font, font size, color, alignment, and borders. You can also add rows or columns to the crosstab to make it easier to read and understand. Additionally, you can add a title and labels to the crosstab to make it more informative. Finally, you can use different chart types, such as a bar chart, line chart, or pie chart, to visualize the data in the crosstab.
Crosstab Style order
Crosstab style order is a type of order that is used to organize data in the form of a table or chart. This is done by arranging the data into rows and columns. The data is usually grouped according to certain criteria such as date, product, region, etc. Crosstab style order is used to make it easier to compare and analyze the data. It can also be used to create visualizations such as bar charts, line graphs, and pie charts.
Cognos – Creating a Chart
1. Open your report in Cognos.
2. Select the “Insert” tab on the menu bar and choose “Chart”.
3. Choose the type of chart you would like to create.
4. A Chart Properties window will open. Select the data you would like to display in the chart.
5. Select the X and Y Axes.
6. Select any additional properties you would like to customize.
7. Click “OK”.
8. Your chart will be added to the report.
Cognos – Report Functions
1. Formatting: This function enables users to format their reports in a variety of ways, such as adjusting font size and color, adding borders, and selecting the desired layout.
2. Filtering: This function allows users to filter their data to remove irrelevant information. Filters can be applied across multiple dimensions, such as time, geography, product, and customer.
3. Calculations: This function allows users to perform calculations on their data, such as adding, subtracting, multiplying, and dividing values.
4. Grouping: This function enables users to group their data by certain criteria, such as time period, product, geography, and customer. This can provide valuable insights into the data.
5. Sorting: This function allows users to sort their data in a variety of ways, such as by date, alphabetically, numerically, and by relevance. This can help make analysis easier.
6. Aggregation: This function allows users to aggregate their data in various ways, such as summing, averaging, and counting. This can provide valuable insights into the data.
Cognos – Report Validation
The validation of a Cognos report should include a review of the data sources, data accuracy, and formatting of the report.
Data Sources:
• Ensure that the report is using the correct, up-to-date data sources.
• Ensure that the data sources have been properly configured and are working as expected.
Data Accuracy:
• Review the data to ensure that it is accurate and complete.
• Check the calculations and formulas used to generate the report.
Formatting:
• Ensure that the report is properly formatted and easy to interpret.
• Review the layout and design of the report to make sure that it is visually appealing.
• Check for any discrepancies between the data and the formatting.
Cognos – Report Run with Options
Cognos Report Run with Options allows you to customize settings for a report before it is run. This is useful for quickly running a report with different parameters and filters, such as date range, user-defined values, and output formats. The Report Run with Options dialog box allows you to select the data source and then specify the report parameters and filters that you want to apply. You can also set the output format and delivery options, such as email or FTP. Additionally, you can save the report run settings as a profile so that you can quickly run the same report with the same settings in the future.
Cognos – Report Administration
Cognos is a business intelligence tool used to create and manage reports and dashboards. The Cognos Report Administration component is responsible for creating and managing the reports and dashboards that are used in the Cognos environment. This includes creating report structures, setting up the report data sources, designing report layouts, and managing the security and access of the reports. The Report Administrator is also responsible for creating and managing the report schedules, publishing the reports, and monitoring the performance and usage of the reports.
Cognos – Filters
Cognos filters are used to limit the data that is retrieved from the data source when a report is run. They can be used to identify a single value within a field or range of values within a field, such as a specific customer or range of sales figures. Filters can also be used to limit data from multiple fields within the data source. They can be used to specify criteria for a query, such as sales figures from a specific region. Filters can be applied to the report before it is run, or the user can be prompted for filter values when the report is run.
Deleting a Filter
1. Log into the Cognos Administration Console.
2. Select the “Configuration” tab.
3. Select the “Filters” folder from the left menu
4. Select the Filter you want to delete.
5. Click the “Delete” button at the bottom of the page.
6. Confirm the deletion by clicking “OK” when prompted.
7. Click the “Save” button at the top of the page to save the changes.
Cognos – Custom Calculations
Custom calculations are calculations created by the user to extend the functionality of the existing calculations available in Cognos. They can be used to calculate values based on any criteria, such as calculating the total sales for a certain period, or to compare two sets of data. Custom calculations can be used to create custom reports or to add functionality to existing reports. The user can create custom calculations by writing a formula in the Custom Calculation editor, which can then be used in various areas of the cognos application such as report layouts, data items, and filters.
Cognos – Analysis Studio
IBM Cognos Analysis Studio is a web-based tool used to create and analyze multidimensional cubes. It enables business users to analyze data, create reports, and identify trends without IT support. It is designed to be user-friendly and intuitive, so users can work quickly and efficiently with their data. Analysis Studio provides a graphical interface for creating cubes, exploring data, and creating reports. It also provides a range of features and functions to help business users get the most out of their data.
Interface
The Cognos – Analysis Studio consists of several areas that are shown in the following areas and are explain in detail as well:
1. Toolbar: This provides access to the various Analysis Studio functions and tools. It includes options such as ‘open’, ‘save’, ‘undo’, ‘redo’, ‘cut’, ‘copy’, ‘paste’, ‘data source’, ‘query’, ‘report’, ‘chart’, ‘table’, ‘filter’, ‘calculate’, ‘sort’, ‘drill’, ‘export’, ‘help’, ‘preview’ and ‘print’.
2. Data Source Pane: This displays a list of available data sources that can be used in the Analysis Studio. It will also provide details of the data sources including the data source name, type, and fields.
3. Query Pane: This is where queries can be created, edited and saved. It also provides the ability to create a new query or edit an existing query.
4. Report Pane: This is where reports can be created, edited and saved. It also provides the ability to create a new report or edit an existing report.
5. Chart Pane: This is where charts can be created, edited and saved. It also provides the ability to create a new chart or edit an existing chart.
6. Table Pane: This is where tables can be created, edited and saved. It also provides the ability to create a new table or edit an existing table.
7. Filter Pane: This is where filters can be created and applied. It also provides the ability to create a new filter or edit an existing filter.
8. Calculate Pane: This is where calculations can be created and applied. It also provides the ability to create a new calculation or edit an existing calculation.
9. Sort Pane: This is where sorting can be applied to the data. It also provides the ability to create a new sort or edit an existing sort.
10. Drill Pane: This is where drilling can be applied to the data. It also provides the ability to create a new drill or edit an existing drill.
11. Export Pane: This is where data can be exported to other formats such as CSV, XML, or HTML.
12. Help Pane: This provides access to the Analysis Studio help documents.
13. Preview Pane: This provides a preview of the report or chart.
14. Print Pane: This provides the ability to print the report or chart.
Cognos – Create an Analysis
1. Open Cognos Connection.
2. Select Analysis Studio.
3. Select the package to be used to create the analysis (i.e., the data source).
4. Create a report by selecting the measures and dimensions to be included.
5. Drag and drop the elements into the report page.
6. Select the display style, such as table, chart, or crosstab.
7. Modify the report, if needed, by formatting the elements, adding totals, or changing the layout.
8. Test the report by running it.
9. Save the report and exit.
Cognos – Save an Analysis
1. On the File menu, click Save Model.
2. In the Save Model dialog box, enter a name for the model, and then click Save.
3. In the Warning dialog box, click Yes to save the model and all its contents.
Note: You can also save your model by pressing Ctrl+S.
Cognos – Open Existing Analysis
1. Launch Cognos Connection.
2. Locate the folder that contains the Analysis Studio Cube you want to open. To do this, click on the folder icon in the top left corner of the window.
3. Select the Cube from the list on the right.
4. Right click on the Cube and select Open.
5. Enter the User Name and Password.
6. The Cube will open in the Analysis Studio.
Cognos – Event Studio
IBM Cognos Event Studio is a business process automation tool that helps users to set up and schedule tasks and events that can be triggered by certain conditions. The tasks and events can include running reports, sending emails, and more. Event Studio enables users to create complex workflows and customize them to meet their specific needs. It also provides a graphical user interface to help users navigate and manage their processes.
Events
Event Studio is a powerful tool in Cognos used for creating automated tasks. It is a business process automation tool used to trigger events and to create workflows that monitor and react to data changes. It can be used to automate many processes such as sending notifications, launching reports, transferring data, and more. It is designed to be flexible and powerful, allowing users to customize the events they create to fit their specific needs. Events can be triggered in response to changes in data, such as when a customer makes a purchase, or when a deadline is approaching. Event Studio can also be used to run scheduled tasks, such as generating daily or weekly reports.
Event Instance
Event studio is a tool in Cognos that allows users to create automated tasks. It is a component of the Cognos Business Intelligence suite and is used to create events that can be triggered by certain conditions or schedules. Events can be used to automate the execution of reports, the distribution of report outputs, or the running of other tasks. The studio provides a graphical user interface for creating and managing events, and offers features such as scheduling, event triggers, and event handlers.
Event List
1. Launch Event
2. Schedule Event
3. Event Flow
4. Event Filters
5. Event Actions
6. Event Parameters
7. Event Variables
8. Event Scheduling
9. Event Conditions
10. Event Alerts
11. Event Logging
12. Event Results
Agent
Cognos Event Studio is a tool used to create event-based automated business processes. It is used to monitor and respond to events in the Cognos environment. It allows users to create and schedule automated tasks to run based on specific events. These events can include report execution, user logins, and other system events. Event Studio can be used to take specific actions when an event occurs such as sending notifications, running reports, or updating data sources.
Tasks
1. Create an Event to Monitor a Database Table
2. Create an Event to Monitor a File
3. Create an Event to Monitor an Application Log
4. Create an Event to Monitor a System Event
5. Create an Event to Monitor a Database Query
6. Create an Event to Monitor an External Data Source
7. Create an Event to Monitor a Web Service
8. Create an Event to Monitor an IBM MQ Series Queue
9. Create an Event to Monitor a Scheduled Task
10. Create an Event to Monitor a Process or System Resource
Cognos – Notification Methods
Cognos offers several notification methods to keep users informed of changes in their environment.
1. Email: Email is the most common notification method and is used to send messages to users when something changes in their environment. This could be a new report or a change in data.
2. Push Notifications: Push notifications allow users to receive messages on their mobile devices even when they are not actively using the application. This is an ideal method for users who are on the go and need to stay up-to-date with changes in their environment.
3. Text Messages: Text messages can be used to send short messages to users when something changes in their environment. This is a great way to keep users informed of changes in their environment.
4. RSS Feeds: RSS feeds are a great way for users to stay informed of changes in their environment. They can be used to provide users with updates from the Cognos server so they can stay on top of changes.
5. Webhooks: Webhooks are a great way to stay informed of changes in your environment. They allow users to receive notifications when something changes in their environment. This is an ideal method for users who need to stay up-to-date with changes in their environment.
Email to Business Users
You can notify people by email using either a report task or an email task.
A report task allows you to generate a report of the data you want to share and then send it out as an email attachment. This is useful for sharing data that needs to be presented in an organized way.
An email task allows you to send out customized emails to each recipient. This is useful for sending personalized messages to each person.
News Item Published
Cognos, a leading provider of enterprise analytics and business intelligence software, recently announced the launch of its new AI-powered analytics platform. The platform, called Cognos AI, is designed to help organizations unlock the data-driven insights they need to improve business decisions and operations. With the new platform, businesses can access the latest machine learning algorithms and AI-driven insights to quickly transform data into actionable results. The platform features a range of tools, including natural language processing, predictive analytics, and AI-driven data visualization. With Cognos AI, organizations can quickly and easily access insights about their business and make better, more informed decisions.