Whitehill Technologies, Inc., a provider of leading document composition and data transformation software that enables insurance, legal and financial companies to accelerate key businesses processes, announced the launch of Whitehill Transform Suite. 

Whitehill Transform Suite enables businesses to extract data locked in a specific output format and transform it into a more useful, flexible format. Most large organizations have documents, such as invoices, statements and reports, trapped in legacy output formats. This severely limits output options, making it difficult to access the information, limiting its integration with other data, and preventing its distribution to the people who need it. 

Whitehill Transform Suite is key to helping organizations integrate legacy content, accelerate their business processes, manage their enterprise content and satisfy end-users of the information. For insurance companies, Whitehill improves client communication, accelerates product distribution and enables and empowers the sales channel. Financial services companies can reduce client churn, create cross-selling opportunities and drive new product development; and legal firms can shorten the work-to-cash cycle, enhance billing and reporting processes, and maximize attorney billable time.

Whitehill Transform Suite offers a variety of additional features that enable more effective data management.  Print-file splitting permits bursting of large print documents into smaller, more accessible sections, allowing companies to print only the precise information they are looking for. Output streams can be sent to multiple destinations during one processing pass, presenting significant time savings. Copies of a statement can be sent to a variety of parties simultaneously instead of having to trigger multiple separate send-outs. Additionally, a document indexing feature selects and extracts pertinent meta data from the print-stream, allowing valuable information to be indexed, such as the sender, receiver, follow-up status, key fields such as monetary value of an invoice, and more. This indexed data is stored and is fully

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