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Monthly Archives: June 2012

Understand Big Data and how it can help businesses

Rachel Wheeler Archive
Although there is plenty of buzz surrounding the potential of Big Data for marketing, financial and other business purposes, there is much less understanding about how to capitalize on those opportunities.

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Healthcare data quality measurement still lacking

Rachel Wheeler Archive
Data sharing in the healthcare industry could be the next great step, once data quality issues are addressed.

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New business intelligence methods stronger with good data quality

Rachel Wheeler Archive
Embedding business intelligence apps in existing enterprise systems is a growing trend among companies, one that could change firms on a fundamental level. Success with these processes, however, can hinge on data quality.

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Cities make important decisions with data

Rachel Wheeler Archive
Predictive analytics processes have transformed the business of local government. Analytics, however, is largely dependent on the data used.

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For finance and retail, Big Data could bring positive change

Rachel Wheeler Archive
Big Data offers many new opportunities to businesses around the world, particularly within the finance sector.

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Compliance data can be analytics source

Rachel Wheeler Archive
Data saved by financial organizations for regulatory compliance purposes could also be an important reservoir of information for analytics programs.

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Consistent data a boon for debt collection

Rachel Wheeler Archive
Synchronizing customer information across an organization can enable better debt collection call center efforts.

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Get better at email marketing

Rachel Wheeler Archive
Email marketing continues to be a pivot point in many multichannel marketing campaigns, but some critics have said that it has lost its power amid flooded inboxes.

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Data quality, mobile optimization big factors in email marketing

Rachel Wheeler Archive
Years ago, simply adopting an email address verification solution that could maintain a company's contact lists for campaigns was enough to help response rates.

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Data use in clinical labs underlines quality needs

Rachel Wheeler Archive
Data management could be a differentiating factor in clinical analytics. Laboratories hope their business intelligence programs can find and remove problems and inefficiencies in the system and improve patient care.

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