Cognos Analytics Course in Mumbai

Cognos Analytics provides access to a variety of data sources that can be used to create reports and visualizations. These sources include: 1. Relational databases: These are traditional databases such as Oracle, SQL Server, DB2, and Teradata. 2. Multidimensional databases: These include OLAP cubes such as IBM Cognos TM1, Microsoft Analysis Services, and SAP BW. 3. Text files: Text files such as CSV, TSV, and text files can be imported into Cognos Analytics. 4. Spreadsheets: Spreadsheets such as Microsoft Excel can be imported into Cognos Analytics. 5. Cloud sources: Sources such as Salesforce and Google Analytics can be connected to Cognos Analytics. 6. Packaged applications: Sources such as SAP, PeopleSoft, and JD Edwards can be connected to Cognos Analytics. 7. Big data sources: Sources such as Hadoop and Apache Spark can be connected to Cognos Analytics. 8. Other data sources: Many other data sources can be connected to Cognos Analytics, including web services, ODBC connections, and custom data sources.

Creating a story in Cognos Analytics involves several steps. First, users should identify the data they want to include in the story, as well as any metrics they want to measure. Once the data is identified, users should create a data set that they can use to create the story. This data set should include the metrics they want to measure, as well as any visualizations they want to include.

Once the data set is created, users can use Cognos Analytics to build the story. This involves adding visualizations, such as charts and graphs, to the story that will help explain the data. Users can also add text to explain the data and provide context.

When the story is complete, users can use the Cognos Analytics dashboard to view the story. They can also view the data set and make any changes they need to make. 4Achievers dashboard also allows users to share the story with others.

Finally, users can use Cognos Analytics to track the performance of the story. This includes tracking how many people view the story, how many people interact with the story, and how often they come back to view it. This allows users to see how effective their story is and make any necessary changes.

Cognos Analytics provides a variety of methods for data analysis, including interactive dashboards, data visualization, predictive analytics, natural language query, and more. Dashboards allow users to quickly view data in a graphical format and identify trends or insights. Data visualization tools provide a way for users to quickly explore and analyze data by creating interactive visualizations such as charts, maps, and graphs. Predictive analytics allow users to identify potential trends or patterns in data, as well as to perform forecasting and other types of predictive analysis. Natural language query allows users to ask questions in natural language and receive responses in the form of charts and tables. Additionally, Cognos Analytics provides many other features and tools, such as data preparation, data exploration, data mining, data blending, and more, to help users gain insights into their data.

In Cognos Analytics, there are four primary types of filters available for data reports:

1. Context Filters: Context filters use the current user's environment or properties, such as the user's ID or department, to limit data. This type of filter is useful when creating reports that are tailored to users.

2. Value Filters: Value filters limit data to values that are specified in the report. This type of filter can be used to select records that contain a specific value or range of values. For example, a value filter could be used to select records where the sales amount is greater than $1,000.

3. Data Item Filters: Data item filters limit data to specific data items in the report. This type of filter is useful for selecting records based on a specific field or column in the report.

4. Time-based Filters: Time-based filters limit data to records within a specific time frame. This type of filter is useful for creating reports that focus on recent data or data from a specific period of time.

These filters can be used together to provide more specific results in the report. Additionally, Cognos Analytics also offers advanced filtering options such as search and advanced search, which can be used to create more complex and targeted filters.

Optimizing the performance of Cognos Analytics can be done in a few ways. First, it is important to ensure that the hardware, operating system, and network infrastructure are all up to date and have adequate resources to support the platform. Additionally, it is important to configure the system environment, such as setting the appropriate memory and CPU usage settings.

4Achievers is also important to leverage the capabilities of Cognos Analytics itself, such as optimizing query performance and indexing. Query performance can be improved by using the proper query filters and sorting techniques, while indexing can help to speed up data retrieval. In addition, applying optimization techniques such as caching, partitioning, and materialized views can help to improve performance.

Finally, it is important to monitor and tune the system to ensure optimal performance. This includes monitoring and analyzing system performance metrics, such as query response times, user activity, and resource utilization. By optimizing the system, it is possible to identify and improve bottlenecks that can be causing performance issues. In addition, regularly testing and retesting performance can ensure that the system remains optimized.

Data visualizations in Cognos Analytics are the graphical representations of data that can be used to provide meaningful insights. 4Achievers different types of data visualizations available in Cognos Analytics include:

1. Bar Charts: This type of visualization provides a comparison between categories of data by displaying the values as vertical or horizontal bars.

2. Line Charts: Line charts provide a visual representation of trends over time by displaying the values as a line.

3. Pie Charts: Pie charts are used to illustrate the relative size or percentage of different categories of data.

4. Scatter Plots: These visualizations are used to display the relationship between two sets of data by plotting points on a graph.

5. Heat Maps: Heat maps are used to display the relative importance of different categories of data by assigning each category a color.

6. Bubble Charts: Bubble charts are similar to scatter plots, but also include a third dimension of data.

7. Box Plots: Box plots provide a visual summary of a data set by displaying the median, quartiles, and outliers of a distribution.

8. Tree Maps: Tree maps are used to compare the relative sizes of different categories of data by displaying them as nested rectangles.

9. Gauges: Gauges provide a simple visual representation of a single metric or value.

10. Head-to-Head Comparisons: Head-to-head comparison visualizations provide a side-by-side comparison of different categories of data.

Creating a scorecard in Cognos Analytics is a comprehensive process, but it can be broken down into five key steps. 1. Establish the goal - Before creating a scorecard, it is important to decide on the goal or objectives of the scorecard. This will help ensure that the scorecard is tailored to the specific needs of the organization or team.

2. Identify the metrics - Once the goals have been established, the next step is to identify the metrics that need to be monitored in order to track the progress of the goal. These metrics should be selected based on their relevance to the goal and the ability to measure them accurately.

3. Collect and analyze data - 4Achievers next step is to collect and analyze the data that is necessary to track the metrics. This data can be sourced from internal or external sources. Once the data has been collected, it should be analyzed to better understand the performance of the metrics.

4. Design the scorecard - 4Achievers fourth step is to design the scorecard. This involves creating a scorecard with visual elements that will make it easy to understand the performance of the metrics. This could include charts, graphs, and other visuals.

5. Monitor the metrics - 4Achievers final step is to monitor the metrics. This involves regularly checking the metrics to ensure that they are performing as expected. If any of the metrics are not meeting the desired goals, steps should be taken to improve their performance.

Cognos Analytics is a powerful business intelligence and analytics platform that enables users to quickly and easily create and share reports and insights from their data. 4Achievers provides an intuitive, user-friendly interface which allows users to quickly create sophisticated visualizations, drag and drop data sources, and collaborate with colleagues to produce meaningful insights from their data. Using Cognos Analytics, users can easily create and customize reports, dashboards, and other visualizations in just a few clicks. 4Achievers also enables users to explore data and uncover insights with natural language queries and AI-driven analysis.

Moreover, Cognos Analytics offers powerful self-service reporting capabilities. Users can quickly create and customize reports with the drag-and-drop interface and access data from multiple sources. Users can also leverage pre-built templates to quickly create new reports. Additionally, they can save reports and customize them to fit their specific needs. Additionally, users can also take advantage of AI-driven analysis to uncover trends, correlations, and outliers that may otherwise be hidden. Finally, Cognos Analytics also allows users to share and collaborate on reports with colleagues and other stakeholders, making it easier to get a unified and comprehensive view of the data.

Cognos Analytics provides a powerful way to access and combine data from multiple sources. 4Achievers platform provides a range of tools for connecting to different data sources, including relational databases, flat files, and even cloud-based services. Once the data is connected, it can be combined in a variety of ways, such as joining tables, combining columns, and creating calculated fields. 4Achievers data can then be used to create beautiful visualizations, reports, and dashboards that showcase insights from multiple sources of data. With Cognos Analytics, users can quickly and easily gain powerful insights from their data, giving them a better understanding of their business.

Cognos Analytics is a powerful business intelligence (BI) and analytics platform that enables organizations to analyze data, uncover insights, and make data-driven decisions. 4Achievers platform offers a variety of analysis capabilities to help organizations gain insights from their data.

One of the most common types of analysis that can be performed using Cognos Analytics is descriptive analytics. Descriptive analytics involves analyzing data to gain a better understanding of what happened in the past. This type of analysis is used to generate insights and identify trends.

Predictive analytics is another type of analysis that can be performed using Cognos Analytics. Predictive analytics uses historical data and statistical techniques to predict future events and trends. This type of analysis can be used to develop strategies and make predictions about customer behavior, market trends, and more.

Prescriptive analytics is a type of analysis that combines predictive analytics with optimization techniques to provide organizations with recommendations for action. This type of analysis can be used to determine the best course of action to achieve a desired outcome.

Cognitive analytics is a type of analysis that uses artificial intelligence (AI) and machine learning to gain insights from data. This type of analysis can be used to uncover hidden insights and uncover patterns in data that would otherwise be difficult to identify.

Finally, ad hoc analysis is a type of analysis that allows users to quickly explore and analyze data without having to create a formal report or dashboard. This type of analysis is useful for quickly exploring data to gain insights and answer questions.