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AtScale Blog

Bruno Aziza

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The Future of Tech: Cloud, AI and your budget...

Posted by Bruno Aziza on May 30, 2018

If you're a sucker for great market data like I am, you must have heard of Mary Meeker. Mary is partner at Kleiner Perkins Caufield & Byers.  She's known in the Valley as a specialist in digital businesses and has been credited with having a deep understanding of what makes businesses succeed and fail.   Earlier today, she released the 2018 version of her internet trend reports: 294 slides delivered in 30 minutes on the Code Conference stage.  You might not have caught everything.   Here are our highlights.

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Topics: GartnerBI, BI on Big Data, Microsoft, Amazon, google

Big Data: Hope or Hype?! What the research says…

Posted by Bruno Aziza on May 4, 2018

“We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run” - Roy Charles Amara

Mr Amara, an American researcher and futurist, probably didn’t anticipate how much wisdom was encapsulated in just a few words.  Buying technology is hard. And Enterprise IT buyers are often left with the hard task of determining if the new piece of technology they just heard about is pure hype or if it has hope.  Where are they to find consistent guidance?

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Topics: Analytics, BI on Big Data

Gartner Magic Quadrant for Analytics and Business Intelligence Platforms 2018: What's New?!

Posted by Bruno Aziza on Feb 27, 2018

Yesterday, Gartner published the 2018 Magic Quadrant for Business Intelligence.  The MQ research for BI has been in existence for close to a decade. It is THE document of reference for buyers of Business Intelligence technology.

At face value, not much seems to have changed...BUT, if you take a closer look, you'll notice that some of the biggest changes in the history of the Magic Quadrant just occurred....

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Topics: Tableau, Gartner, Business Intelligence, GartnerBI, BI on Big Data, Microsoft, Amazon, microstrategy, google

Gartner Magic Quadrant for Business Intelligence (BI) 2018: The Good, The Bad, The Ugly...

Posted by Bruno Aziza on Feb 25, 2018

Every year, many of you reach out to thank us for our analysis of Gartner's famous Magic Quadrant for Business Intelligence.  Thank you all for your feedback! 

This year,  we've decided to go one step further: in addition to our written analysis, we will be sharing our perspective as part of our upcoming "BI on The Data Lake Checklist" webinar.

Be sure to register here: the Gartner Magic Quadrant for Business Intelligence (BI) 2018 is bound to surprise you and our analysis will help you navigate its subtleties...

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Topics: Gartner

What You Might Have Missed in January 2018

Posted by Bruno Aziza on Feb 1, 2018


We’ve put January back in cold storage!  Don’t be frozen out of the month’s Big Data stories though!  Catch up on January’s Big Data BIG news...

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Topics: Business Intelligence, Big Data, Cloud, BI, Analytics, Data, BI on Big Data

10 Big Data Moments You Might Have Missed in 2017

Posted by Bruno Aziza on Dec 23, 2017

Throughout the year, our team engages in lots of meaningful conversations with the Big Data community, customers, partners, analysts and press. We cherish these moments because they are a great source of information and learning. Below some of the moments that made our top 10. The list includes press articles, videos, research links and other resources that we believe were particularly meaningful in 2017.

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Topics: Hadoop, Cloudera, surveys, Cloud, Analytics, BI on Big Data

Above the Cloud: Big Data and BI

Posted by Bruno Aziza on Dec 6, 2017

It’s becoming more and more crucial for businesses to find ways to gather, use, and analyze big data. After all, big data is by far the most effective tool for keeping accurate and thorough track of customers and employees, as well as the most efficient way to predict future behaviors. However, big data is notoriously complex, unstructured, and massive, making it extremely difficult to manage without the proper tools.

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Topics: Hadoop

The True Cost of doing Big Data...the old fashioned way...

Posted by Bruno Aziza on Aug 16, 2017

Despite the challenges associated with data warehousing, enterprise IT leaders have accepted it as a necessary evil of deriving value from information within Hadoop and other Big Data ecosystems. How much does it cost to create data warehouses or datamarts that extract data out of Hadoop? Is there a better way to do BI on Big Data?!

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

Big Data is a big deal. Now What?!

Posted by Bruno Aziza on Jul 19, 2017

Everybody knows that Big Data is a big deal.  Or do they?  In a recent keynote at Silicon Valley’s latest Big Data Show, we unveiled key insights about the maturity of organizations using Big Data.  As it turns out, there are 7 key do’s and don’ts to watch out for in this space.  Read on to find out more….

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Topics: Analytics, BI on Big Data, Data Strategy

Big Data: The Unknown Unknowns

Posted by Bruno Aziza on Jun 22, 2017

Industry leaders know that their challenges with data analytics are spread across 4 areas: confirmation (‘the things they know they know’); intuition (‘the things they don’t know they know’); inspection (‘the things they know they don’t know’); and revelation (‘the things they don’t know they don’t know). 

This last category is often the most tragic for organizations.  Luckily, we now have helpful resources from Tom Davenport's latest webinar on Data Strategy to key research data points on chief data executive's priorities.

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Topics: Chief Data Officer, Analytics, BI on Big Data, CDO, Data Strategy

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