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D&B Launches Hoover’s Optimizer To Address Data Quality Issues


Business information provider D&B recently released Hoover's Optimizer, a new add-on module for its Hoover's Online service offering. The add-on is designed to address data-quality issues for small and medium-sized businesses that maintain customer and prospect databases.

According to a D&B press release, Hoover's Optimizer will draw upon D&B's database, which includes information on more than 205 million businesses worldwide. The add-on will allow users to integrate this data with their existing databases, and to eliminate problems with inaccurate or incomplete customer records.

“Getting sales and marketing programs to the right prospects at the right time is a challenge for all businesses, but it’s especially acute for small and medium-sized organizations,” said D&B spokesman Josh Peirez. “They don’t have the time or resources to waste. With D&B’s data optimization now built into Hoover’s Online, they can reach the best opportunities, quickly and easily.”

According to data cited by D&B, poor data quality costs U.S. businesses more than $600 billion per year, and customer data decays at an average rate of 2% per month. The Hoover's Optimizer offering – a scaled-down version of the D&B Optimizer service marketed to large enterprises – is intended to address and minimize these data-quality costs.

Other key features enable users to:

  • Access Self-service capabilities that allow sales and marketing professionals to access data and update customer or prospect records.
  • Find "look-alike" sales prospects by mining Hoover's Build A List service, using existing customer criteria such as industry and company size, or by applying more than 70 other search criteria.
  • Identify unqualified or duplicate customer records, using an automated data-cleansing system.


Hoover's Online is a subscription-based offering designed to help businesses find, manage and track sales and marketing prospects. The service is available on a per-seat basis or a per-use system based on purchased download credits.