PROLOGIKA NEWSLETTERS

Ideas to explore.
Experience to share.

Browse the archive for practical insights into Microsoft data analytics and the decisions behind successful solutions.

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March 8, 2016

Prologika Newsletter Winter 2013

WHAT'S NEW FOR BI IN SQL Server 2014

As I'm enjoying my vacation in tropical Cancun, Mexico, I hope you've been enjoying the holidays and planning your BI initiatives in 2014. Speaking of planning, you may have heard that Microsoft is working hard on next release of SQL Server, version 2014, which is…

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March 8, 2016

Prologika Newsletter Fall 2013

WHY SEMANTIC LAYER?

I hope you had a great summer. The chances are that your organization has a centralized data repository, such as ODS or a data warehouse, but you might not use it to the fullest. Do you want a single version of truth? Of course, you do.…

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March 8, 2016

Prologika Newsletter Summer 2013

POWER VIEW MULTIDIMENSIONAL

The summer is finally here. With everything coming to fruition, there are exiting news in the Microsoft BI land, the most important of which I’d like to recap in this newsletter. Before I start, I want to mention the availability of my Best Practices for…

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March 8, 2016

Prologika Newsletter Spring 2013

IMPLEMENTING DASHBOARDS

Implementing Dashboards Many organizations are considering digital dashboards for a quick 1000-foot view of the company performance. In this newsletter, I’ll review at a high level the options available in the Microsoft BI Platform for implementing dashboards and discuss how they compare. PerformancePoint Services PerformancePoint…

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March 8, 2016

Prologika Newsletter Winter 2012

What’s New in Excel 2013 and SharePoint 2013 BI

What's New in Excel 2013 and SharePoint 2013 BI Microsoft released Office 2013 and SharePoint 2013 in October 2012. The logical question you might have is how the latest versions apply to your business intelligence needs. Here are some of the most important features that…

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March 8, 2016

Prologika Newsletter Q3 2012

BIG DATA

Big Data Big Data is getting a lot of attention nowadays. My definition of Big Data is a dataset (or a collection of datasets) that is so large that exceeds the capabilities of a single symmetric multiprocessing (SMP) server and traditional software to capture, manage,…

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