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Volume 27, Issue 3

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Every issue, Disaster Recovery Journal (DRJ) delivers how-to, in depth knowledge into business continuity planning more than any other business publication. This unique ability to take readers further inside the issues has made DRJ the #1 read business continuity publication in the world, one with a circulation and audience that consistently dominates the business continuity magazine field. Add to this strength that we have consistently higher ad recall than our competitors in every major advertising category and the DRJ advantage becomes clear.

Journal (1244)
Workforce Continuity in a New Age
RON LaPEDIS, MBCP, MBCI, CISSP-ISSAP, ISSMP Monday, 21 October 2013 11:58
Are You Ready For Social Media In Your Plan?
TOM MAGEE Monday, 21 October 2013 11:55
Social Media: Risk and Reward for BC Professionals
ANN PICKREN, MBCI Monday, 21 October 2013 10:59
Times Warrant Collaboration
COLE H. EMERSON, MBCI, MBCP, CPP Monday, 21 October 2013 10:55
Navigating New Technology Can Be Challenging
Bob Arnold Monday, 21 October 2013 10:52

LONDON – The insurance industry must be prepared for future market challenges, the quickening pace of customer-driven commerce and the continuing spread of the digital economy, says Ovum. According to the independent global analysts, insurers can improve their competitive position by implementing predictive analytics and using the wealth of rich data available from social media channels and conceptual sources such as the ‘Internet of Things’.

A new report* from Ovum suggests that in order to be better prepared, insurers should focus on creative initiatives that analyse data from a number of sources, including social media, third parties and machine-to-machine communications. By concentrating predictive analytics on key areas of the business – namely business operations, marketing and customer relations – insurers will be able to determine which markets to enter or leave, shape target market initiatives and estimate potential losses for the book of business as each customer is added.

Insurers are already well aware of the impending threats/challenges including tightening regulation, demanding customers, an ageing population and weakened economies,” says Barry Rabkin. “The critical differentiator for insurers will be minimising future risk thorough predictive analytics by tapping into the vast amounts of rich data.”

Finally, Rabkin reveals that a new role is emerging – the data scientist role – and this will be as important as the well-known data miner role in the insurance industry. Ovum is already seeing a growing number of insurance companies creating new departments of these types of quantitatively skilled professionals. This role will take a deeper approach to research (i.e. collect more data and explore more hypotheses) and generate recommendations that are scalable down to individual lines of insurance business. Ovum believes that data scientists and data miners will work closely together to discuss "what if" questions regarding their predictive analytics initiatives.

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