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How the Oil Industry is Cutting Costs with Big Data

By   /  November 13, 2013  /  Big Data News, Big Data News, Articles, & Education, Data Daily | Data News, Data Education  /  No Comments

Oil Rig Maintenance in Darwin Harbour May 2006

by Angela Guess Elizabeth Dwoskin of the Wall Street Journal reports, “Big Oil is the latest industry to turn to Big Data software to shave costs. Pacific Drilling operates rigs in far-flung places like Nigeria, where the tab for feeding a 200-person crew, transporting equipment back and forth across 250 miles of ocean, and drilling […]

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Juniper Research Report Finds Major Financial Benefits of Harvesting Big Data

By   /  September 6, 2013  /  Big Data News, Big Data News, Articles, & Education, Data Daily | Data News, Data Education  /  No Comments

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by Angela Guess A new article out of Juniper Research reports, “The continued deployment of analytics platforms is expected to deliver combined savings and incremental revenues to MNOs (Mobile Network Operators) totaling more than $9 billion by 2018, a new report from Juniper Research has found. Greatest savings are expected to result from reduced customer […]

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PrescribingAnalytics.com: How the NHS Could Save Millions of Dollars

By   /  December 18, 2012  /  Data Daily | Data News, Data Education, Smart Data News, Smart Data News, Articles, & Education  /  No Comments

Carl Reynolds of the Open Knowledge Foundation reports, “Last week saw the launch of prescribinganalytics.com (covered in the Economist and elsewhere).”

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Shell Hopes to Save 100s of Millions with Semantic Search

By   /  October 11, 2012  /  Data Education, Smart Data News, Articles, & Education  /  No Comments

Bill Goodwin of Computer Weekly writes that Shell plans to save hundreds of millions of dollars with semantic search.

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IBM Business Analytics Software Saves Insurance Co. $2.4M in 4 Months

By   /  May 9, 2012  /  Big Data News, Articles, & Education, Business Intelligence News, Articles, & Education, Data Daily | Data News, Data Education  /  1 Comment

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by Angela Guess IBM today announced that Santam, the leading short term insurance company in South Africa, has already saved $2.4 million on fraudulent claims since implementing IBM’s business analytics software four months ago. According to the article, “The analytics software has enhanced Santam’s fraud detection capabilities and also enabled faster payouts for legitimate claims.” […]

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The DoD on Data

By   /  January 27, 2012  /  Big Data News, Articles, & Education, Data Daily | Data News, Data Education, Data Governance & Data Quality | News & Articles, Enterprise Information Management  /  No Comments

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by Angela Guess Amber Corrin reports, “A Defense Department advisory board has issued a report making recommendations for DOD’s move to cloud computing and data center consolidation, among them suggestions to strengthen governance, to coordinate strategies better across the department and to act decisively. The Defense Business Board’s report, dated Jan. 19, was presented in a […]

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The Numbers on Big Data

By   /  August 2, 2011  /  Big Data News, Articles, & Education, Data Daily | Data News, Data Education  /  No Comments

by Angela Guess Loraine Lawson recently ran the numbers on Big Data. She reports, “As companies unveil their quarterly earnings reports, I can’t help but notice a common trend: Many are crediting Big Data with their big earnings numbers. The most recent — oddly enough — was security vendor Symantec, which credited Big Data, along […]

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Survey Shows Poor Tracking of Data Management Metrics in Government

By   /  June 29, 2011  /  Data Daily | Data News, Data Education, Data Governance & Data Quality | News & Articles  /  No Comments

by Angela Guess A recent article reports, “MeriTalk, a government analysis organization, on behalf of NetApp, a provider of storage and data management solutions, surveyed 157 federal IT decision-makers in April and May to determine how well agencies were using metrics to measure data center consolidation savings and increasing efficiencies as they consolidate. The respondents […]

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