Data Management Strategies for the CIO
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Lead story
Good company: Data quality, MDM and data governance
Combining data quality initiatives with master data management and data governance programs can help ensure that data remains accurate and consistent.
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More top stories
Real-world strategies for managing big data
This guide highlights case studies on managing big data systems across various industries, with tips on mixing data warehousing and big data tools.
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Effective data quality strategy a must for BI success
In the past, companies might have gotten away with not building data quality efforts into business intelligence programs. That's less likely now.
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Peter Aiken makes the case for a chief data officer
In a Q&A, consultant and author Peter Aiken explains why companies should put a C-level exec in charge of managing their data as a strategic asset.
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BI University: 'Meeting the Need for DW Speed'
In this classroom, data warehouse managers and other IT professionals will find advice and insight on how to build high-performance data warehousin...
Email Alerts
Big data management issues
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Higher enterprise use will drive new Hadoop features
With user interest rising, Hadoop vendors are trying to pave a path to higher adoption with add-ons that target issues holding the technology back.
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Talking Data
Free thinking: Bringing data to more people
Advocating wider access to data, speakers at the Information Builders Summit 2013 traced a journey from 4GL tools to HTML5 desktop apps and beyond.
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Analysis/Wayne Eckerson
Real-time querying in Hadoop? Not so fast
Hadoop vendors are adding real-time query engines to the open source software. But the jury is out on that effort, writes Wayne Eckerson.
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Recommended White Papers
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FEATURED TIP
Intel offers up a 'silver bullet' master data management strategy
Find out how Intel enacted its MDM project plan; learn the four simple steps they say are behind the success of their internal MDM strategy.
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NEWS ANALYSIS
Data errors, other missteps can waylay BI data integration strategy
Discover why analysts say data integration is critical to effective business intelligence (BI) processes and how a BI data integration strategy can easily go off track if not carefully planned and implemented.
