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Data Management

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A Big Data Cheat Sheet: What Executives Want to Know

May 21, 2015 by Tamara Dull

The Big Data MOPS Series. 

What can Hadoop do that my data warehouse can’t? The short answer is: (1) Store any and all kinds of data more cheaply and (2) process all this data more quickly (and cheaply). The longer answer is: They say that 20% of the data we deal with today is structured data. I also call this traditional, relational data. The other 80% is semi-structured or unstructured data, and this is what I call “big” data.[read more]

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Why the Chief Data Officer is the Hottest Job of the 21st Century

May 20, 2015 by Jeff Brown

Cheif data officer.

In 2012, Harvard Business Review boldly named the Data Scientist “The Sexiest Job of the 21st Century.” In 2013, reporters at CNBC gave the same nod to data analysts, saying it was one of the most sought-after positions. Even U.S. Secretary of Commerce Penny Pritzker came out praising the Chief Data Officer (CDO).[read more]

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5 Smart Data Tips for New CIOs to Drive Business

May 15, 2015 by Bob Dvorak

Whether its day one or day 501, it’s practically vital for CIOs to make a splash and prove their worth. While business executives tend to dismiss the CIO as a strategic partner, the emergence of new digital tools, the need for reliable data and a growing demand for analytics have provided CIOs ammo to prove otherwise.[read more]

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5 Questions to Ask as You Prepare for a Compliance Audit

May 12, 2015 by Brad Thies

For most cloud service providers, a compliance audit is, at best, a necessary evil — the root canal of the business world. Like a root canal, it can be a painful process that you regret about halfway through, even if you know it’s good for you. But just as you can avoid root canals with proper dental hygiene and regular checkups, the pain of compliance audits can be avoided with proper preparation.[read more]

How Nonprofits Like the YMCA Use Data to Maximize Community Impact & ROI

May 9, 2015 by Trips Reddy

Maximize impact.

The biggest truth about data is that it only has real value if it changes the way organizations act and think. In today’s data-driven world, having the right data can help nonprofit organizations become more transparent and accountable, helping them demonstrate to donors and members that their programs and initiatives are achieving objectives. Here’s how nonprofits like the YMCA are already using data to look for trends and insights, and even identify and find solutions to problems that don't exist yet, but might be just around the corner.[read more]

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Expert Speak: 6 Highlights and Lessons from the 2015 CDO Summit

May 8, 2015 by Trips Reddy

The 2015 CDO Summit.

The CDO Summit 2015 (at the Thomson Reuters office in New York City) hosted Chief Digital Officers, Chief Data Officers and other C-suite digital leaders from a range of industries including retail, finance, healthcare and technology. Organized by the CDO Club, a packed day of sessions, panels and knowledge-sharing highlighted original research, the CDO jobs landscape and the challenges faced by CDOs as they focus on digital transformation at their companies.[read more]

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Big Data Anonymous: Ask Data Experts Your Burning Data Questions

May 5, 2015 by MJ Wesner

Ask data experts / shutterstock

We'd like to alert the Smart Data Collective community to a unique opportunity: the chance to ask a panel of internationally renowned data experts all your burning data questions. It's a part of the The Social Shake-Up, which we're hosting in Atlanta this June.[read more]

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Why Returning $1 Trillion to Shareholders is a Bad Idea

May 4, 2015 by Paul Barsch

Risky Business column.

With creaking IT infrastructures and under-investment in other areas such as plants, equipment, employee training and more, excessive share buybacks aren't just a flawed strategy; they are a dangerous one for the future health of companies across the globe.[read more]

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The Data Lake Debate: Conclusion (With Apologies to the Rolling Stones)

April 30, 2015 by Jill Dyché

The Data Lake Debate.

In an homage to the Rolling Stones, I blithely suggested that if you try sometimes, you get what you need—be it more funding, access to third-party data, a more effective executive sponsor, or a Hadoop distribution provider. It’s not an easy decision, but I’d call the data lake debate a draw. After all, when it comes to the verdict on whether or not a data lake is a worthwhile investment, the success stories will start to emerge. In the meantime, I’m happy to watch those stories unfold. Time, after all, is on my side. Yes it is.[read more]

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The Data Lake Debate: Pro Delivers Final Rebuttal and Summary

April 27, 2015 by Tamara Dull

Okay, this is where the rubber meets the road. I have three minutes (or ~450 words) to respond to Anne’s final statement and summarize why I still believe a data lake is essential for any organization to take full advantage of its data. Let’s get started![read more]

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5 Tips for Streamlining the Supply Chain

April 24, 2015 by Glenn Johnson

Supply chain.

Supply chain efficiency helps an organization reduce costs and speed time-to-market. Fifteen years into the new millennium, it is clear to see that advances in technology, increasing globalization and rising customer expectations have made streamlining the supply chain more important than ever.[read more]

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Learn from Carnegie Mellon’s School of Data Management Hard Knocks

April 23, 2015 by Jeff Brown

Big data error.

The school mistakenly sent acceptance emails to hundreds of hopefuls who applied to Carnegie Mellon’s prestigious Master of Science in Computer Science program. A few hours later, an email with a much different tone arrived in their inboxes. A school statement read: “This error was the result of serious mistakes in our process for generating acceptance letters.”[read more]

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The Data Lake Debate: The Final Word from Negative

April 22, 2015 by Anne Buff
1

The Data Lake Debate.

Well, it seems you took the gloves off this time, Tamara. I appreciate the valiant effort and your passionate belief in the Hadoop ecosystem. However, given your revisit to the definition of the data lake and clarifications about Hadoop, I find it important to repeat the resolution we are debating: “a data lake is essential for any organization to take full advantage of its data”. We are not debating whether a data ecosystem is essential – just the data lake.[read more]

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A Better Way to Model Data

April 21, 2015 by Mark Hargraves

Data modeling.

Over 8 years ago, the Spider Schema Data Model was created to provide an easier way to model OLTP data into a supported OLAP data model with the advantages of the OLTP data model. Over the last 8 years this data model has been proven out and is: faster at data processing, uses less storage space, is more flexible, and provides full support for not only OLAP, but OLTP, and Big Data.[read more]

When the Right People Correlate the Right Information, Expect a Masterpiece

April 15, 2015 by Mike Urbonas

Arthur Aufderheide.

Organizations with genuine passion for its mission have a substantial innate advantage when developing and/or utilizing BI technology. They will uncover more/better/faster new data correlations revealing new business answers drawn from new big data, information management, data analytics and other technologies. This is because they will relentlessly ask more new, piercing questions about their business.[read more]