Data Quality

Data quality refers to the tools and processes that result in the creation of correct, complete and valid data that is required to support sound decision-making.

When it comes to the big data market, Big Blue is clearly the dominant player – IBM holds a 9% total market share. Here’s a look at the 11 top big data professional services companies, according to the Wikibon 2015 Big Data Market Shares report.
FeatureWhen organizational efforts are hampered by data quality issues, the credibility of their entire analytics strategy comes into question.
BlogHeralding what it calls the age of data 3.0, Informatica wants to leverage their leadership position in data management to build solutions on top of their data integration, data quality and data management tools.
FeatureData validation and cleansing is an increasingly popular methodical discipline. But how do you know where the best place to start is?
FeatureInformation Management recently hosted a roundtable of data experts in the financial services and insurance industries to discuss their best practices for establishing a data quality strategy.
There seems to be no end in sight when it comes to high demand for data professionals. But just how well an individual can cash in on that trend depends on their job experience, location, and acquired skills. This week we look at how all those factors impact the paycheck. Today we review the pay premiums being paid in 2016 for the top noncertified data skills.
This week research firm Gartner released its highly-anticipated Magic Quadrant study, which evaluates the top firms and products in data analytics and business intelligence. In this two-part series, we look at the firms making the ‘Leader’ and ‘Visionary’ categories.
NewsWhen it comes to maintaining data quality in the enterprise, too many corporate executives have a laissez-faire attitude, which ultimately has a negative impact on the business.
FeatureWhile a growing number of organizations are undertaking data initiatives, sufficient data quality remains elusive for most, and that is impacting the ability to meet project goals or customer needs.
FeatureSVP of strategic analytics Kimberly Holmes says the insurer finds value in data variety, not sheer volume.
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