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Data Management

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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

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]

Intuitive Reasoning, Effective Analytics & Success: Lessons from Dr. Jonas Salk

April 11, 2015 by Mike Urbonas

Salk.

Just days away, April 14, 2015 will mark the 60th anniversary of the Salk Polio Vaccine. On that day in 1955, it was publicly announced that human trials confirmed Dr. Jonas Salk’s vaccine provided effective protection from the polio virus. By 1957, new polio cases fell by 90% from epidemic levels just five years earlier. A fascinating interview with Dr. Salk on the Academy of Achievement website sheds light on his key personal attributes and values - vital for success in any line of work. And the best analytic tools will play a leading role in fostering that success.[read more]

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The Data Lake Debate: Pro Delivers First Rebuttal

April 10, 2015 by Tamara Dull

Data Lake Debate.

In my opening argument, I defined the data lake as a storage repository that holds a vast amount of raw data in its native format, including structured, semi-structured, and unstructured data. I also mentioned that a data lake can take on different shapes and sizes, and provided these examples: A single data lake; or a data lake with multiple data ponds—similar in concept to a data warehouse/data mart model; or multiple, decentralized data lakes; or a virtual data lake to reduce data movement.[read more]

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Beyond Automation: Streamlining Business Processes with Custom Software

April 8, 2015 by Kendall Wyman

Beyond automation.

Custom software can be a game-changing solution for many organizations, but you can’t just throw applications at a business process problem and expect it to go away. Learn how custom business applications can improve your organization's operations by finding and addressing gaps in your current processes.[read more]

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Problems with the Language of Probability

April 6, 2015 by Paul Barsch

Risky Business column.

Using probabilistic terminology to communicate the “likelihood” of an event occurring to those untrained in understanding such terms, can in some instances lead to the ruin of careers, companies and in worst cases—loss of life.[read more]

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The Data Lake Debate: Pro Cross-Examines Con

April 6, 2015 by Tamara Dull

The Data Lake Debate.

As to be expected, Anne, your arguments against building a data lake are both persuasive and passionate. You’ve made some great points, my friend, but you’re making this way too easy for me. Before I jump into my rebuttal [my next post], I’d like to clarify a few things that you brought up. I’ve boiled it down to three questions. What say you?[read more]

A Lot of Private-Sector Data Is Also Used for Public Good

April 3, 2015 by Joshua New

Private data.

These beneficial uses of private-sector data are not just one-off, isolated occurrences — just this past month two major tech companies have offered to put valuable and even potentially life-saving data to good use for the public. Facebook will now start matching users’ location data to Amber Alerts to rapidly spread awareness about missing children, and Uber will be donating its anonymized transportation data to city governments to help reduce congestion and enable better city planning.[read more]

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The Data Lake Debate: Negative Puts a Stake in the Ground

April 1, 2015 by Anne Buff
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The Data Lake Debate.

While the idea of a data lake sounds like fun, don’t go jumping in just yet. There are critical factors to consider before taking the plunge and saying that A data lake is essential for any organization to take full advantage of its data. Not only is a data lake not essential for any organization, a data lake may in fact be detrimental for those who do so prematurely.[read more]

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The Data Lake Debate: Questioning the Pro

March 27, 2015 by Anne Buff

The Data Lake Debate.

Technology is not the answer for every big data issue (well any data for that matter). I get it - Hadoop and the concept of data lakes are hot topics. However, just because they are trending in the world of technology does not mean that they will solve critical business issues such as taking full advantage of an organization’s data. I stand firm that data storage, data lake or any other type, is not the essential element for an organization to take full advantage of its data.[read more]

From Social Listening and Social Media Analytics to Social Data Intelligence

March 27, 2015 by Julie Hong

Christophe Folschette.

The early adopters who first saw the value of social listening and analytics were all communications specialists and early pioneers in digital marketing. But almost overnight, the sector exploded and went mainstream, across management silos in enterprises large and small, traditional and new. The birth of the digital native confronted corporates with a new set of challenges, and opportunities.[read more]

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5 Non-Standard Ways to Use Cloud Storage

March 21, 2015 by Terry Smith

Cloud storage.

We all get used that cloud storages like Dropbox and Google Drive serve one definite purpose: to keep our data online. Thus, we can easily add, remove, share access, open, or edit files and rest assured that the storage would backup and synchronize all our changes. This is a standard way to utilize a service like this. However, more advanced users are constantly finding new ways to benefit from certain cloud storage options. Have a look at five most non-standard tricks you can do with your Dropbox or Google Drive.[read more]