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Transforming Ecommerce with Predictive Analytics

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by Jelani Harper One of the most tangible ways to justify the use of predictive analytics in a data-driven strategy is to incorporate them into marketing and ecommerce. The goal is simple, yet deceptively elusive to convert Web traffic and onsite ‘clicks’ into customers and purchases. Traditional methods involving Web analytics platforms focus on customer…

A Capability Maturity Model for Big Data

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by Angela Guess Thomas H. Davenport recently wrote for the Wall Street Journal, “Maturity models are undoubtedly useful, but they are pretty easy to create. God decreed that they must have five levels, and that Level 1 basically means ‘All Screwed Up’ and Level 5 means ‘Really Humming Along’ on whatever the capability is. I observed…

Will We See Cassandra in Every Fortune 100 Companies?

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by Angela Guess Derek du Preez of Diginomica reports, “DataStax has made good headway in short four years and it’s co-founder, Matt Pfeil, told me that it is already in 25% of all Fortune 100 companies (in some form or another). He added that over the next decade, he is certain that this figure can rise…

Continuent Certified to Bring Real-Time Data Loading to the Hortonworks Data Platform

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by Angela Guess   According to a new article out of the company, “Continuent, Inc ., a leading provider of open source database clustering and replication solutions, today announced that its Continuent Tungsten Replicator has been certified by Hortonworks™, a leading provider of enterprise Apache™ Hadoop®. Continuent Tungsten Replicator 3.0 enables organizations to quickly and easily transfer…

Moving Databases to the Cloud

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by Gerardo Dada It seems like every organization is looking at what can be moved—or should be moved—to the cloud. However, the cloud is clearly not for everything; as with any technology there are benefits and tradeoffs. As such, it is important for all IT professionals to understand when and how the cloud is advantageous…

Testing the Limits of Data Analytics with the World’s Largest Repository of Electoral Data

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by Angela Guess Srikanth RP of Information Week India reports, “Hyderabad-based Modak Analytics, a data analytics startup, built India’s first Big Data-based electoral data repository of 81.4 crore [814 million] voters for the just concluded elections. The project leaders, Aarti Joshi (Co-founder) and Milind Chitgupakar (Chief Analytics Officer), share their experiences, insights and important lessons learnt…

IBM Launches $100M Big Data Skills Creation Program in China

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by Angela Guess Infotech reports, “IBM today announced $100 million Big Data and Analytics skills creation program for China. As per the IBM U-100 program, IBM will donate IBM BD&A software worth $100 million and provide expertise to support 100 universities in China. The long term program aims to create the next generation of data scientists…

Does Privacy Exist Anymore?

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by Angela Guess Steven Norton of The Wall Street Journal recently wrote, “Richard Clarke, former senior White House cybersecurity adviser and current chairman and chief executive of cybersecurity service provider Good Harbor Security Risk Management LLC, writes in the WSJ’s 125th anniversary issue about the future of privacy… ‘Will enough people object to stop the insatiable demands…

Predictive Interaction Technology Frees Up Data Professionals’ Time

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by Jennifer Zaino As a data professional, how much of your time is spent working on fixing up your data, rather than working on answering questions and solving problems with your data? On average data cleansing and transformation takes up 80 percent of data professionals’ time, according to Joseph Hellerstein, a Chancellor’s Professor of Computer…

Big Data is No Excuse for Hoarding

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by Angela Guess Jeff Bertolucci of Information Week recently wrote, “The save-everything mantra chanted by many big data proponents is a waste of money and resources, as organizations will gain little, if any, actionable insights from massive stockpiles of archived data. Rather, the real big data payback comes from near-real-time analysis of information as it’s collected.…