Data Blogs | Information From Enterprise Leaders

June 2014 DATAVERSITY Letter from the Editor

Letter from the Editor

It’s been a great year for me to satisfy my inner geek (IG). As mentioned at Enterprise Data World 2014 Conference and Expo (#EDW14) last month, we had Peter Olson from Marvel Entertainment give a Keynote followed by Philip Sheppard from the Royal Academy of Music, both of whom blew us all away with their…

Practical Data Science and the Tricky Business of A/B Testing

OFFICIAL IBM PHOTO FOR JAMES KOBIELUS

by James Kobielus Increasingly, the best websites aren’t so much designed as calculated. And that calculation, more often than not, rides on a never-ending campaign of A/B testing. And the A/B testing, in turn, is under the constant supervision of data scientists running one real world experiment after another. The calculations for modern website optimization…

Myths About Big Data

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by Gil Allouche You’ve probably heard a lot of different things about big data recently. Maybe you and your business are considering implementing it, or maybe you’re just wondering what it can do for your company, or maybe you’re just not sure what’s true and what isn’t. Because of it’s relative newness there are still…

Data Governance – It Takes A Data Village

Janine Joseph

by Janine Joseph There are several questions that typically arise when you are starting a new data governance effort. The exact words people use to state the questions will, of course, be different, but the spirit remains the same. Over my career I’ve learned that the best way to answer these questions is with short,…

Don’t Understaff and Overstretch Your Analytics Development Team

OFFICIAL IBM PHOTO FOR JAMES KOBIELUS

by James Kobielus Enterprises increasingly worry about whether they can fulfill all their new data science requirements with qualified candidates. But an even larger issue has been simmering for years in many organizations’ data analytics practices. The issue is that it’s typical for many companies to short-staff traditional positions, such as business analyst, report developer,…

Beware ‘Big Schema’

SONY DSC

by Michael Blaha Most everyone has heard of “big data” – the popular term for data so massive it’s difficult to manage. Today, the volume of search engine queries, online retail sales and Twitter messages regularly exceeds the capabilities of traditional databases. There’s a complement to big data that we call “big schema”. Modern data…

Why Women Won’t Submit… to Speak at Your Event

Why Women Won’t Submit - Slide

by Karen Lopez We in the data world are fortunate that we have a higher percentage of female professionals than other IT specializations. We also tend to have more female attendees and speakers at Enterprise Data World than other conferences I attend. However that doesn’t mean that we are doing well in ensuring female speakers…

Tools for Real-Time Big Data Analytics

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by Gil Allouche In today’s fast-paced world it’s not enough to just gather and store petabytes of data. Companies also need to be able to analyze that data in real-time. Waiting hours or days for the information to be analyzed simply won’t cut it for many operations. Because of that, companies across the globe are…

Fast Data: The Next Evolutionary Step in Big Data Analytics

Jörg Bienert

by Jörg Bienert It is often said that time is money and nowhere is this adage more pertinent than in today’s digitized business world. Thanks to a host of devices and gadgets, all connected to the internet, organizations have access to data like never before. However, this “connected” world also means that businesses face an…

May 2014 DATAVERSITY Letter from the Editor

Letter from the Editor

We just came back from our first conferences of the year, Enterprise Data World 2014 Conference and Expo and CDO Vision in Austin, TX. Both events went exceptionally well. We heard a lot of good things from attendees and the #EDW14 hashtag streamed some very nice comments. My favorite part of the event is working…