Newsletter
Prologika Newsletter Spring 2014 (POWER BI FOR OFFICE 365)
March 8, 2016 / No Comments »
I hope you are enjoying the beginning of the spring. The focus of this newsletter is self-service BI with Microsoft Power BI. But before I start, I strongly encourage those of you in the Southeast USA to register and attend...
Prologika Newsletter Winter 2013 (WHAT'S NEW FOR BI IN SQL Server 2014)
March 8, 2016 / No Comments »
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...
Prologika Newsletter Fall 2013 (WHY SEMANTIC LAYER?)
March 8, 2016 / No Comments »
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...
Prologika Newsletter Summer 2013 (POWER VIEW MULTIDIMENSIONAL)
March 8, 2016 / No Comments »
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...
Prologika Newsletter Spring 2013 (IMPLEMENTING DASHBOARDS)
March 8, 2016 / No Comments »
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...
Prologika Newsletter Winter 2012 (What’s New in Excel 2013 and SharePoint 2013 BI)
March 8, 2016 / No Comments »
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...
Prologika Newsletter Q3 2012 (BIG DATA)
March 8, 2016 / No Comments »
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...
