MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
May 19, 2020 | ISBN: 9781800203419 | English
Duration: 30 Lessons (3h 29m) | Size: 702.5 MB
Combine a variety of data to gain meaningful insights, and visualize information using stunning dashboards.
Build stunning dashboards with Cognos Analytics
Use the new, unified Cognos Analytics interface to create, modify, and consume reports and dashboards
Learn about the visualization capabilities available to you: how and when to use them, how to interact with them, and how to customize them
Merge your own ad-hoc data to add value to your dashboard
Discover the new features in IBM Cognos Analytics and how you can use them in your own organization to help drive effective business analytics and strategic decision-making
Cognos Analytics v11.1 R5 is the latest version of IBM Cognos Analytics. Its cloud version is now within the reach of individuals and small enterprises. Cognos Analytics is popular with big organizations, such as banks and pharmaceutical companies, as their enterprise tool for reporting and analytics.
Since the launch of Cognos Analytics v11, IBM has added several important new features, this course aims to covers all the latest features added to v11.1 R5. It focuses on the Dashboard Tool, and is suitable for end-users (who are simply consumers of data and need to analyze it and create dashboards for consumption) to IT developers who deliver high-quality reporting solutions.
Cognos Analytics v11.1 R5 is a next-generation, sleek, unified tool that provides end-users, power-users, and IT professional with a fast, intent-driven dashboard and a report-authoring interface on top of the strong foundation that IBM Cognos has supplied over decades.
All the code and supporting files for this course are available at
Learn how to upload your data, model it, and then create interactive dashboards to analyze and present information effectively to your audience
Familiarize yourself with the tools and terminologies of dashboard creation using IBM Cognos Analytics
Elaborate explanation of data modelling and building data modules from scratch
Learn advanced techniques like Maps, Predictive Forecasting, and Data Security
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