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Editorial Type: Comment     Date: 05-2014    Views: 1612   




The biggest news as this issue of DM went to print was not, for a change, of one industry player acquiring another: what is exciting us here at the office is the fact that we are about to start the countdown to another DM Awards night.

It doesn't seem like a year since we gathered luminaries from across the industry - and indeed the globe - for our last awards ceremony. Nominations should be open by the time you receive this magazine - go to www.dmawards.com to let us know which products or companies you feel have gone the extra mile for your business this year. Initial nominations close on July 25th, and the awards ceremony itself is planned for the night of October 23rd at what has become our traditional venue, London's fabulous Hotel Russell. We've a rundown on page 30 of all this year's categories.

Elsewhere in these pages you'll find some valuable insights into areas as diverse as intelligent recognition systems, automating HR, and ways for SME's to 'spring clean' their paper files. In the latter piece Fujitsu's Sabine Holocher steps back from the usual mantra of scanning and digitisation to suggest a wider raft of ideas to streamline the workplace for SMEs - advice that could be just as valid for any size of business, we feel. As Sabine says: "A misplaced or misfiled document could cost a small business an average of £80. And ARMA International estimates that on average businesses tend to misfile up to 20% of their papers. This adds up to a huge amount of money for a business to be losing unnecessarily; and it is particularly important for small businesses to pay attention to details like this in order to increase profitability."

We also take a look at how smarter scanning technologies can help with Big Data issues, as ibml's Ashley Keil talks about their newest classification and extraction capabilities. Why is this necessary? Keil explains: "Operation managers face the challenge of capturing ever-increasing volumes of mixed document batches from diverse sources, converting that into accurate digital content, and delivering a reliable, predictable data stream with the highest possible velocity to the downstream applications that rely on this critical information."

With no let-up in sight to the volume and complexity of data that scanning operations are required to handle, the document classification and data extraction capabilities of solutions like ibml's will become increasingly central to achieving improved operational efficiency, faster cycle times and fewer errors.

Dave Tyler
Editor
david.tyler@btc.co.uk

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