Andrew Tegethoff

Andy leads Perficient's Microsoft BI team. He has 16 years of IT and software experience with a primary focus on Enterprise Information Management solutions using the Microsoft Data Platform.

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Blogs from this Author

Webinar – Microsoft Big Data and Advanced Analytics

I recently participated in a webinar on the topic of Big Data/Advanced Analytics and how the Microsoft platform supports it.  My colleague Shankar RamaNathan spoke first about the various challenges of truly seeing ROI out of Big Data initiatives.  Then I spoke about how the Microsoft Data Platform, both in the cloud and on-premises, provides […]

5 Ways the BI Experience in SharePoint is Evolving

A post on the Microsoft Office blog today entitled “Evolution of SharePoint”  grabbed my attention.  In it, Office Product Management team General Manager Julia White discussed ways the SharePoint platform is changing to fit its niche in the cloud and on premises. As I read the article, I started thinking about how SharePoint BI has […]

Microsoft giving away Power BI — for FREE?!?

As crazy as it may sound, Microsoft has decided to give away Power BI  for free. Why?  That’s easy: they want Tableau’s market. Well, maybe that’s not the entire answer.  After all, Microsoft played nicely with Tableau for years, largely viewing them as a partner.  But frankly, they were leaving a fairly large market opportunity […]

New Power BI Features Released for Preview

The Microsoft Power BI blog announced last Thursday that new features were now in Preview, and I can tell you that this is news worth seeing. Among the highlights this preview includes are: Power BI Dashboards  –  This configuration of the base visual approach in Power View into a coherent Dashboard interface is a smart […]

Getting Started with Power BI, pt. 4

Last week, I posted part three of our Power BI Primer series discussing administration of Power BI Sites and user permissions.  This week we’re finishing up with Part Four. If you are an Office365 customer, then you have almost certainly heard about (if not seen) Power BI. The cloud-based analytics and collaboration platform from Microsoft has some […]

Getting Started with Power BI, pt. 3

Last week, I posted part two of our Power BI Primer series discussing administration of Power BI Sites and user permissions.  Today, we’re bringing you Part Three. If you are an Office365 customer, then you have almost certainly heard about (if not seen) Power BI. The cloud-based analytics and collaboration platform from Microsoft has some […]

Azure ML on the forefront of Advanced Analytics

My colleague Sean Roy just put up a great post about Gartner’s predictions for Advanced Analytics in 2015: https://blogs.perficient.com/enterpriseinformation/2014/12/16/the-industrialization-of-advanced-analytics/ This is of obvious interest to us in the Microsoft universe, as we perennially end up being in the  “happy” part of Gartner’s magic quadrant, and since Microsoft’s ongoing data and analytics story is called out here.  […]

Getting Started With Power BI, pt. 2

Last week, I posted part one of our Power BI Primer series discussing access and basic administration. This week we’re bringing you Part Two. If you are an Office365 customer, then you have almost certainly heard about (if not seen) Power BI. The cloud-based analytics and collaboration platform from Microsoft has some pretty amazing features, […]

Getting Started with Power BI, pt. 1

If you are an Office 365 customer, then you have almost certainly heard about — if not seen — Power BI. The cloud-based analytics and collaboration platform from Microsoft has some pretty amazing features, and really extends the Microsoft BI platform not only into the cloud but into a more self-service oriented mode.   However, one […]

Why Does Data Warehousing Take So Long? Pt. 3

Last time, I posted about how BI/DW accelerator and framework tools need to be used with care, and not as a substitute for solid requirements analysis. This time, I want to debunk a misconception that can be framed by the following question: Will Agile processes speed up my BI development timeline?   I see many situations […]

Why Does Data Warehousing Take So Long? Part 2

In my last post, I wrote about BI’s reputation for being a long drawn-out process. And of course, where the market sees a vacuum…  A plethora of products and processes exist to aid with “shortcutting” BI/DW development. So this time, I want to look some common factors at play when you use the various types […]

Why does Data Warehousing take so long?

Why Does Data Warehousing Take So Long?

A common complaint about data warehousing/BI has been time to market.   The investment in real months required to stand up analytics is just too large. Descriptions of the actual time required vary (depending on who you ask, and what their interests are) from a year to 24 months. The numbers are open to debate, but […]

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