AtScale Blog

Do You Need A [New] Data Strategy?

Posted by Bruno Aziza on May 1, 2017

This past week, Tom Davenport, of the "Competing on Analytics" fame published an HBR article that he could have named:  "What They Don't Teach You at Harvard Business School: Big Data Edition".  The piece follows a long list of mainstream articles that have attempted to highlight the short-comings of "Old School Data Strategy". Here is what you might have missed and why it could matter to your company and career.

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Topics: Hadoop, bi-on-hadoop, Chief Data Officer, Analytics, BI on Big Data

What's the best BI tool for Hadoop?

Posted by Bruno Aziza on Apr 20, 2017

Every once in awhile, the ultimate question comes up: "What is the best analysis tool for BI on Hadoop?!".  AtScale is not in the business of favoring one tool versus the other.  We are in the business of making all of them work.  There are indeed many reasons why business users and I.T. departments choose particular analysis tools.   Here are a few things to consider. 

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Topics: Hadoop, bi-on-hadoop, Analytics, BI on Big Data

How Do you 'Do Big Data Analytics Right'?

Posted by AtScale on Feb 1, 2017

Yes, there are actually ways to 'Do Big Data Analytics Right'.  

Leaders and innovators in the Big Data space have learned the hard way, and now those of you looking to dip your toe, or jump head first, into the BI on Big Data waters can capitalize on their early experiences. Let go of the fear or ego or whatever may be holding you back and take the chance to learn from those who took the early adopter risk. 

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Topics: Hadoop, bi-on-hadoop, Big Data, Cloud, Analytics, Data, Webinar, BI on Big Data, Data Lake

BIG BI:  Business Intelligence in Digital Transformation

Posted by Neil Raden on Dec 8, 2016

Digital transformation is a broad term that has various meanings by application, but in general, it means that more and more of what organizations, people, governments do is happening in computers, mobile devices and networks. As a result, the way things are done is changing, especially in the way things are connected. So in this new world of data flying everywhere, being generated and consumed, where does one stop for a second to take a look at what’s going on?

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Topics: Business Intelligence, Big Data, olap, BI, Analytics

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