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Monthly Archives: May 2013

Access to actionable big data can be fleeting

With some varieties of social data, there's a big problem to look out for - data can be fleeting, and companies have no way of retaining control of it.

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How much is data quality worth?

There's no doubt that when compiling massive clusters of data to analyze in an effort to gain greater wisdom about their industries, companies must emphasize accuracy. There's no substitute for superior data quality - if corporations use address management tools to ensure that their information is updated and verified, they can proceed with confidence toward decisions based on solid business intelligence.

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Analysts must emphasize speed when drawing insights from data

Data quality isn’t the only concern. According to Information Management, there’s another equally important value for companies to consider when working with large volumes of information: data velocity.

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'Data philosophers' help firms find meaning in information clusters

Jim Harris of the OCDQ Blog writes that in addition to data scientists who are able to quickly process and find trends in information, it’s also important to have data “philosophers,” critical thinkers who are able to find true meaning in big data, finding lessons that companies can really act upon.

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Data quality can help healthcare providers save lives

By gathering information on individuals and using software tools to verify its accuracy, firms of all kinds can glean valuable insights from big data. But perhaps nowhere is data quality more applicable than in healthcare, where it has the potential to save lives.

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Data quality important, but shouldn't be overemphasized

Information Week raises a question in response to the data quality movement. Has all the emphasis on accuracy gone too far? Is it possible that data quality has become overrated?

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Big data analytics can bring added efficiency to government

Mining data on individuals can have a profound effect for companies in all sectors. Whether in retail, marketing, finance or any one of countless other industries, it can be enormously beneficial to compile information on potential customers and use it to find optimized business solutions.

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Big data analytics help marketers assess customers' lifetime values

Compiling accurate data on consumers is a valuable pursuit that will help marketers improve their sales numbers, both immediately and in the years ahead. The effects of data quality are far-reaching.

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Banks improve service quality by mining consumer data

By collecting data on consumers and performing due diligence to verify its accuracy, companies across all sectors can find meaningful statistical trends to help them predict future activity. Perhaps the most notable area where data quality can make a difference is finance, where banks can collect information from social media and use it to find valuable insights about how people allocate their money.

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Marketers' data collection must not disturb consumers' privacy

In recent years, marketers have come to greatly appreciate the value of mining big data to collect information on their customers that will help shape future sales strategies. Their data collection processes help in another way, too - they can help prevent fraud. By monitoring consumers’ spending habits and looking for abnormalities in purchases, companies can easily detect when their customers’ financial information has been stolen and abused.

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