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Monthly Archives: October 2012

Proactive data quality resistance explained

Rachel Wheeler Archive
Some companies don't take action on data quality problems until it is too late. These firms can end up suffering serious damage as the result of an information integrity mishap.

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Retailers using big data to understand customer behavior and make sales

Rachel Wheeler Archive
With the ability to harness customer data, organize it, verify the data quality and extract valuable correlations, they can generate more holistic pictures of consumers' buying habits and learn what drives them.

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New health data will need measurement, storage

Rachel Wheeler Archive
Organizations will soon have to consider how to securely store and manage a new round of confidential figures that could have a direct impact on well being.

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Big data may be huge for job creation

Rachel Wheeler Archive
The rate at which companies are investing in big data strategies is creating a huge demand for IT experts who can manage the vast amount of content that's being generated every day, since this information can be used to make better business decisions.

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Data culling includes responsibility, standardization

Rachel Wheeler Archive
A large group of low-quality records may seem impressive at first glance, but it isn't likely to drive business success in any meaningful way. Data quality, therefore, is central to marketing.

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New data rules change enterprise technology

Rachel Wheeler Archive
Companies that find ways to deal with the storage, management and data quality issues accompanying big data now could be much better positioned than their peers to face the coming status quo.

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Big data benefits email marketing campaigns

Rachel Wheeler Archive
Customers may be spending more time on social media sites, but this doesn't necessarily mean these sites are the best way to communicate with them, according to Technorati.

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Data moves up the corporate ladder

Rachel Wheeler Archive
With analytics becoming more sophisticated and capable of delivering ever-greater levels of insight, considerations like data quality have become the business of an increasingly broad selection of workers.

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Study: Companies to budget $28 billion for big data plans in 2012

Rachel Wheeler Archive
Companies are working toward their big data goals, which will enable them to make personalized suggestions for customers based on insight gleaned from mass amounts of data (think Pandora, Netflix and Amazon).

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Big data can help employees address customer concerns more effectively

Rachel Wheeler Archive
Companies are currently working to empower their employees with access to valuable information so they can tap that data to make better decisions.

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