Monthly Archives: September 2012

As companies embark upon their big data plans to capitalize on a growing trend that is expected to take off this year, they may find themselves swamped with data.

These capabilities have led many companies to rush forward with their plans, passing over important data quality measures.

Faced with the competition of ecommerce companies that have easy access to customer analytics generated by clicks and hovers, brick-and-mortar businesses are looking for new ways to capture data about consumers.

Companies are investing in big data strategies to benefit from technological advances that enable them to make better decisions using up-to-the-minute information and insights.

Keeping data quality high and making sure information is available when it is needed are vital components of business strategy. A focused governance program could be the answer to many companies' problems.

Data management has become significantly more complex as big data analytics systems gain prominence in the business world.

Companies' heavy use of digital information has led to increases in business agility and insight. However, problems can derail even the best efforts.

Customer experience management efforts and consumer relations are becoming more data-driven.

Transparency in government spending loses prestige if the data quality is poor. Constituents could become suspicious of information from federal agencies if it requires constant corrections or does not hold up to scrutiny.

Making sure data quality of internal files is high is vital for keeping corporate plans on track. If there is one data management procedure more important, however, it is cleansing and checking information released to the general public.