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                      You’re sitting at home thinking about opening up a new business…maybe you’re just planning on relocating an existing office…or maybe you’re looking to do business with a new vendor. Whatever the situation may be, you have to ask the question, which cities are primed for new business opportunity? Where are businesses performing at a high level? Are businesses in City A paying their bills faster than City B?

The past several years have been somewhat of an uphill climb for our country’s economy and this has impacted the default rates for consumer credit. However, now that we’re out of the recession, consumers are managing their credit back to pre-recession levels. In June 2013, the S&P/Experian Consumer Credit Default Indices, a monthly comprehensive measure of changes in consumer credit defaults, showed that default rates have fallen at a national level, as well as, in all four major buckets it tracks including, bankcard, auto, first mortgage and second mortgage. Additionally, the national composite and first mortgage defaults rates hit new post-recessions lows at 1.34 percent and 1.23 percent, respectively.

A recent study conducted by the Governing Institute and commissioned by Experian confirms that government benefit agencies can greatly improve their eligibility verification processes through automated data analytics. Historically, assorted health and human service programs have been compartmentalized, with each benefit agency having its own data collection system, eligibility requirements and program rules. The technology to streamline processing by allowing one agency to match its data against other content repositories, though available, has not been in place. The result has been frequent re-entry of information causing processing delays, slowing response time and increasing manual labor costs. These shortcomings have limited agencies’ ability to detect and combat fraud.

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