Adding new data quality at a company involves identifying practices that match the organization's existing culture and overarching objectives.
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Businesses readily adopted big data in 2012 as its advantages became well-known and the technology's costs decreased.
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Many companies are launching into big data strategies with the hope of using unexpected correlations about customers, supply chains and transaction information as the foundation for their investments and decisions.
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Businesses are now "hoarding" their data instead of recognizing how inconvenient the saved files will be in case of litigation.
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The holiday shopping season is the bread and butter of sales for retailers, and this year there is even more at stake, according to the National Retail Federation's 2012 spending survey.
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Governance policies designed to give companies a simple set of data usage rules are very important. Such programs incorporate many high priority individual processes.
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Data quality may not be the most exciting aspect of big data plans, but it's vital to their success.
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Many companies already have a hard time wrapping their minds around the vast amount of data they can tap to derive insight that will help them make more informed business decisions.
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In 2012, it's becoming a widely known fact that big data is huge and it isn't going anywhere.
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Data quality limitations are so devastating because they strike at the root of an effort and can cause all work done with certain figures to be problematic.
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