C1000-065 Exam Dumps : IBM Cognos Analytics Developer V11.1.x

Supported Data Sources: IBM Cognos Analytics supports various data sources for creating dashboards, including Framework Manager Packages, OLAP Packages, Data Modules, Data sets, and CSV files.

Flexibility: This wide range of supported data sources provides flexibility for users to integrate different types of data into their dashboards.

Data Source Addition: Users can easily add and manage these data sources within the dashboard creation interface.

Reference: The IBM Cognos Analytics V11.1.x documentation lists and explains the types of data sources that can be used when creating dashboards, confirming the inclusion of Framework Manager Packages, OLAP Packages, Data Modules, Data sets, and CSV files.

To address the user’s requirement to see only newer entries based on the 'Order Date' column while keeping historical data available in IBM Cognos Analytics V11.1.x, you should apply a filter to the "Order Date" attribute. Here’s how:

Open Data Module: Access the data module containing the table.

Apply Filter:

Filter Creation: Select the "Order Date" column and create a filter. Specify the criteria to include only newer entries, such as dates within the last year or a specific date range.

Save Filter: Save the filter to ensure it applies whenever the table is used in new reports.

Usage:

Report Design: When designing new reports, the filter will automatically apply, showing only the newer data as specified.

Applying a filter on the "Order Date" attribute allows for dynamic control over the data displayed without modifying the original table or creating duplicates.

In the Exploration 'Data relationships' view in IBM Cognos Analytics, the thickness of the lines between data items represents the statistical strength of the relationship. Here’s a detailed explanation:

Exploration View: The Exploration view is used to analyze and visualize data relationships in a more interactive manner.

Data Relationships: The lines between data items indicate relationships or correlations between different data points.

Line Thickness: The thickness of these lines visually represents the strength of these relationships. Thicker lines indicate stronger statistical relationships.

Statistical Analysis: This helps users quickly identify significant relationships and patterns in the data, aiding in deeper analysis and better decision-making.