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Data Quality

Business Priorities Point the Way for MDM

May 8, 2012 by Julie Hunt
with 90 views
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In today's volatile business world, it is important to focus MDM on what matters most for the goals of the business to ensure reliable, unified and timely data for key systems and processes. Such data must conform to how information is used by the business. [read more]

Not Only SQL, Not Only Big Data

April 25, 2012 by Barry Devlin
with 228 views
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While I am a long-time supporter of the need for and value of good and extensive information in business, my experience of the purposes for which such information is used and the extent to which decision making benefits is less sanguine. In general business, business intelligence is used almost exclusively in support of a narrowly-focused drive for bottom-line profit. At the risk of being labeled a Communist, I remain unconvinced that this is always a good thing. [read more]

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Multi-Lingual Text Analysis- A Plan To Action from #SMAS12

April 24, 2012 by Daniel Schiller
with 174 views
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Featureflash / Shutterstock.com

‘80% of success is showing up’- Woody Allen He could have been referring to multi-lingual text analysis. Is that good news? It might be. If you are extracting multi-lingual data from social posts you’re far ahead of the competition. The bar isn’t high, and your competitors probably aren’t close to extracting data in its native language. If they are, they aren’t doing it very well. [read more]

Data Design Principles

April 23, 2012 by Justin Hay
with 213 views
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Taking a practical approach to developing a well-formed enterprise data warehouse – and by that, I mean one that is accurate, efficient and productive – involves basing it on sound design principles. [read more]

Are You Asking the Right Questions with Predictive Analytics?

April 19, 2012 by Brett Stupakevich
with 291 views
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When data scientists ask the right questions using predictive analytics, they’re not only able to address known business challenges but they can also uncover some of the unknowns. [read more]

When Do You need All the Data for Big Analytics?

April 19, 2012 by David Smith
with 188 views
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Norman makes the argument that while sampling and aggregation are often useful ways of handling very large data sets for statistical analysis, there are nonetheless several situations where using all of the data in the analysis is beneficial and/or important. [read more]

There Are 2 Ways To Make Large Datasets Useful...

April 15, 2012 by Chris Dixon
with 301 views
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Photo by blenderizer via Flickr

I’ve spent the majority of my career building technologies that try to do useful things with large datasets.*One of the most important lessons I’ve learned is that there are only two ways to make useful products out of large data sets. Algorithms that deal with large data sets tend to be accurate at best 80%-90% of the time (an old “joke... [read more]

Improvement Project for Services; Remember You're Never Really Done

April 13, 2012 by Jay Arthur
with 63 views
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While define, measure, analyze, improve and control (DMAIC) lead most people to believe they need to start by defining and measuring something, data about the number or cost of these types of defects are already collected somewhere by someone. Find the data! As described in my previous article about Control Charts for Services, get the data into a format that can be graphed as a control chart. [read more]

Practical Sentiment Analysis and Lies

April 10, 2012 by Tom Anderson
with 386 views
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Q&A with Prof. Bing Liu ahead of the Sentiment Analysis Symposium and Pre Symposium Tutorial False website reviews are an interesting application, and one that I’ve been keeping my eye on. I noticed the New York Times recently covered some of your work in this area. This type of text analytics research seems to be much more difficult than most people think. [read more]

Using Analytics to Handicap The Masters Golf Tournament

April 10, 2012 by Brett Stupakevich
with 148 views
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Consider this: the odds of making a double-eagle are estimated to be 1 in 1 million for professional golfers and 1 in 2.5 million for amateur golfers. In fact, a double-eagle is such a rare feat that the odds of a pro golfer making a hole-in-one are much easier to achieve from a statistical standpoint at 1 in 2,500. The odds increase to 1 in 12,500 for an amateur golfer. [read more]

Information Management Technology Revolution and Research Agenda for 2012

March 19, 2012 by David Menninger
with 126 views
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In recent years the complexity of information management has risen dramatically. The volume of information being processed has increased exponentially and so have the challenges of ensuring consistency and quality and managing governance and the information life cycle. New data types and sources such as comments on social media have emerged and must be integrated into an organization’s information assets. [read more]

Making Love with Data: Avinash Kaushik’s Strata 2012 Keynote

March 15, 2012 by Daniel Tunkelang
with 513 views
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Just watch the presentation, which stole the show at Strata 2012. The written word cannot do justice to Avinash’s passion and his extraordinary ability to communicate it. [read more]

On Text Analytics vs Machine Translation

March 15, 2012 by Ken Hu
with 356 views
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First and foremost, Text Analytics and Machine Translation both fall under the field of Natural Langauge Processing (NLP). Whether or not Machine Translation should be a substudy of Text Analytics, I will leave it to the readers within academia to discuss. Personally, I would claim that Text Analytics covers topics which extract and normalize text into measurable data. [read more]

The 4 Biggest Problems with Big Data

March 14, 2012 by Brett Stupakevich
with 672 views
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Most companies collect gobs of data but they don’t have comprehensive approaches for centralizing the information. According to a recent survey by LogLogic, 59% of the more than 200 security officers who responded say they are either using disparate systems for gathering data, not managing log data, or they use antiquated spreadsheets. [read more]

Is Your Dashboard Working?

March 11, 2012 by MIKE20 Governance Association
with 323 views
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It’s no wonder they call it a dashboard… Like your car, your business could scarcely move forward without it. A well designed intelligence dashboard provides a snapshot of the overall health of your operations and gives immediate insight into areas that need improvement or tuning. In short, it’s key to keeping your finger on... [read more]

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Big Data Blasphemy: Why Sample?

March 6, 2012 by Meta S. Brown
with 1,134 views
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Since data mining began to take hold in the late nineties, “sampling” has become a dirty word in some circles. The Big Data frenzy is compounding this view, leading many to conclude that size equates to predictive power and value. The more data the better, the biggest analysis is the bestest. ...Except when it isn’t, which is most of the time. [read more]