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Understanding and retaining customers made easy with IBM

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Overview

Safety Insurance has a better view of its customer base with IBM PureData for Analytics, while saving time and money with IBM Cognos.

Transcript

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are
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on lucky this business problem
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was that we had actuarial folks
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spending all their time building databases rather than analyzing the
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if you had two or three of them try to make the same report you did two or
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three different answers
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and that's something that really bothers higher-ups in this day and age it is
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why him we'd be in business this long be this big company
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it's still not a single version of the truth the second-biggest invidious
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was getting a single view public customers a whole
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because somebody has policies in three different systems
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you try to join those people together it's not gonna work easily
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because their name to defend their addresses are different we need to get
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ourselves one repository that had one version
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the data for all the reports the work of %uh that's a whole new world
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that's opened up to us the biggest angel benefit
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is having Cognos run reports
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that people who make anywhere from 32
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dollars an hour were running on their own time
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the BF Cognos hooked up to all the data in all the systems inc
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in one place and all you have to do is set up a job to run weekly
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put those killed a dozen reports and feel pretty good about your investment
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on a day-to-day basis the biggest
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peace has got to be the speed the fact that we have any enquiries tooled
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that can find loss ratio by customer we can clearly the data
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in the Pure Data System and figure out the terms of loss ratio
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for in terms of premium minus losses to the best customers opt that's easy
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enough the bills and given the
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the robustness of the your day assistant
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we really have the power to use are
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policy data to help fight fraud began to cross-reference
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factual claims coming in with all the single view of customer data
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in C no for example if there are certain customer attributes that lead to
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things like soft tissue injury he served several total losses over the light from
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the customer
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we can keep in mind what what types of claims her claims that are
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often suspected to be fraudulent and look at the entire wealth of information
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we have in our claim system
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try to figure out is this in fact leaving the fraudulent claims
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on
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the No