In previous releases of Cognos Analytics, we have seen a trend of integrating many of the features of metadata modeling in Framework Manager into the Cognos Analytics interface. This trend is continuing with new or improved modeling capabilities being incorporated into Cognos Analytics 11.1 Data Modules.
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As part of the accelerated release schedule initiated with the introduction of Cognos Analytics last December, IBM made the latest release, Cognos 11.0.4 aka Cognos Analytics Release 4, available on September 16th.
While each of the previous releases have included enhancements and new functionality, Cognos Analytics Release 4 is significant enough that we wanted to present an article to our community focusing on what we feel the most compelling new features are based the time we’ve spent exploring the updated platform. Read more
Editor’s Note: This blog was originally posted on August 1, 2010 and has been reviewed and updated on 10/5/2020 with Cognos Analytics 11.1.7. We find that these best practice tips about metadata modeling are still very useful to build solid data foundation for reports, especially cardinality settings and stich query controls as they are critical modeling techniques. These procedures are also applicable to Cognos new web based metadata modeling component – the Data Module, which is greatly adopted by self-service authors and when Cognos is hosted in cloud (no need to install Framework Manger tool).
Last month’s article described the overall approach for best practice model design using the 4 layer architecture. In this month’s article, I’ll describe some advanced issues which arise during model design, and how best to deal with them. Given the limitless and complex situations that can come up during modeling, these techniques may or may not apply to your specific situation. Read more
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