Gathering data is an essential step before performing analysis in Power BI Desktop. The tool allows users to connect with many different data sources, such as traditional or cloud databases, text files, big data, and live streams. Among these sources are SQL Server Analysis Services (SSAS) Tabular models, which are widely leveraged for enterprise solutions. Why? Let’s dive into Tabular Modeling to learn more.

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In the first installment of this series, we discussed the origins of Mode 2 Analytics, and in the second installment we focused on how to enable this capability in your organization using Cognos. Now that we’ve learned all about how Mode 2 works, let’s walk through a sample use case that highlights the Bimodal Analytics Lifecycle as well as the technical capabilities of Cognos Analytics and how they fit together.

In this example, you are the manager of a Healthcare Call Center system that is comprised of seven (7) regional centers across the country. Each call center handles contact (phone calls and online chats) from the customers that are located within the states that make up those regions.

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What is the most common, most vital need of any business? Speed.

Speed to adapt, to respond, to evolve. It is important, not just at the big picture level, but on a daily basis as well. If you’re constantly waiting for information, then you’re spending less time analyzing data and making decisions that help the organization. Speed has been vitally important in the acceptance of Mode 2 style content such as Dashboards and Stories. Response time is key when viewing daily high-level metrics or when creating that “single use” asset to analyze a potential issue.

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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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With the maturing and ever increasing acceptance of the cloud across multiple industries and the data gravity gradually moving to the cloud, i.e. more data being generated in the cloud, we are seeing some interesting cloud-based data and analytics platforms offering unique capabilities. Some of these platforms could be disruptive to the established market leaders with their innovative thinking and ground up design that is “born in the cloud and for the cloud.”

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In the first installment of our series on bimodal analytics, we talked about the origins of Mode 2 analytics. We looked at some of the challenges around implementing true bimodal analytics within IBM Cognos Analytics 11 and touched on some of the vendors who were born as Mode 2 platforms. This second installment will focus specifically on how to enable Mode 2 analytics within the organization using Cognos.

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Earlier today the AWS team unveiled two new capabilities for QuickSight, Amazon’s signature Business Intelligence tool. Speaking live from the AWS re:Invent conference at the Venetian in Las Vegas, the four hosts announced the ability for users to easily embed QuickSight dashboards in applications and previewed new native Machine Learning capabilities. Read more

Last week at Analytics University, IBM formally announced the release of the next major version of Cognos Analytics, v11.1.

IBM has hinted at the inclusion of “smarts” for “augmented analytics” and improvements in the usability of this new version over the past year. Our expectation was that these improvements would continue to “modernize” Cognos and help address some of the competitive pressures that organizations with legacy investments have been encountering in recent years. Read more

Well in advance of the IBM acquisition of Cognos, the Cognos name was synonymous with powerful, trusted enterprise business intelligence and managed reporting. Between its ability to scale to meet the needs of the largest enterprises, its robust, governed metadata layer that made it possible to report against a vast array of different data sources, powerful reporting capabilities churning out highly complex managed BI reporting solutions, and ad-hoc reporting and analysis against those governed data sources, IBM Cognos was the answer for almost all enterprise reporting needs. Until it wasn’t.

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