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Monthly Archives: November 2012

Data quality must fit, modify companies

Rachel Wheeler Archive
Adding new data quality at a company involves identifying practices that match the organization's existing culture and overarching objectives.

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Is big data the answer to business and government problems?

Paul Newman Archive
Businesses readily adopted big data in 2012 as its advantages became well-known and the technology's costs decreased.

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Better data quality can prevent costly business mistakes

Rachel Wheeler Archive
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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Expert: companies must think of governance

Paul Newman Archive
Businesses are now "hoarding" their data instead of recognizing how inconvenient the saved files will be in case of litigation.

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Data quality issues can sink a holiday email marketing campaign

Rachel Wheeler Archive
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: Complicated but vital

Richard Jones Archive
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 demands collaboration and attention

Rachel Wheeler Archive
Data quality may not be the most exciting aspect of big data plans, but it's vital to their success.

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Big data could get even bigger in coming years

Paul Newman Archive
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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Big data success isn't just a big coincidence

Paul Newman Archive
In 2012, it's becoming a widely known fact that big data is huge and it isn't going anywhere.

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US-Canada border plan slowed by bad data

Rachel Wheeler Archive
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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