Monthly Archives: February 2014

Companies everywhere are beginning to realize their need to use better technologies for data quality, but following through on this ideal is easier said than done.

Continue reading Decentralizing data quality efforts to overcome budget woes

In the rapidly evolving world of medical devices, government intervention makes it more difficult for manufacturers to meet their many needs.

Continue reading Data quality plays pivotal role in medical device compliance

Should good data be a company-wide focus, or should it merely be a job for the IT department?

Continue reading Tackling data quality issues requires 'a structured approach'

Incidents of data theft are on the rise, as are the costs associated with them. A 2012 survey conducted by the National Cyber Security Alliance and McAfee found that one in four Americans had been officially notified that key elements of their personal information had been lost. With the recent announcements of data theft and hacking at Target, Neiman Marcus, and Adobe, the former two being propagated by a teenager, this is a topic we will be hearing about a lot more.

Continue reading How Marketers Should Prepare for and Communicate a Data Breach

There is a lot of debate occurring in America today about how best to fix the higher education system.

Continue reading Data quality is the first step toward education reform

Every company that peddles in large volumes of customer information has a need to maintain high levels of data quality.

Continue reading Quality has become the 'ugly duckling' of big data

Data quality is important, but security and compliance are equally vital.

Continue reading Compliance and security are part of the overall data quality picture

For organizations that rely heavily on banks of consumer data - ranging from retail companies that keep tabs on their customers to government offices that provide essential public services - there's a need for high-quality data.

Continue reading Turning data quality into a high-priority business initiative

While companies have made great strides in recent years in information mining, collecting more information about their customers and the economy at large than ever before, they still have plenty of work to do in terms of data quality.

Continue reading The three-step process for improving data quality

In the retail sector, there's an ongoing debate of man versus machine.

Continue reading Man and machine join forces to empower retail analytics