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Insurers’ digital focus is looking through the wrong ‘lens’

CGI

Insurers’ digital focus is looking through the wrong ‘lens’. Read any article on digital insurance and it seems to me that it is all about the insurers! Big data, fraud reduction, improved risk ratios, cross product customer engagement are common themes in the trade and advisor “blogsphere”. harini.kottees….

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#ModernDataMasters: Scott Taylor, “The Data Whisperer”

Reltio

It’s the people who have no idea what master data is and no time to learn it – but who have all the money – who really need to understand the value of it and what it can do for the enterprise.” . How would you define “modern” data management and what does it /should it mean for organisations that adopt it?

MDM 40
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The Orion blockchain database: Empowering multi-party data governance

IBM Big Data Hub

For instance, in response to sustainability trends, product manufacturers may need to prove the carbon footprint of their products to regulators and clients. Orion can serve as a robust repository for storing the carbon footprint data of all product components, provided by part manufacturers.

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Asset management vs. parts inventory management: What’s the difference?

IBM Big Data Hub

Asset management Assets come in many shapes and sizes, from trucks and manufacturing plants to windmills and pipelines. Imagine having paid for a critical piece of equipment you need delivered to your manufacturing facility but having no way of tracking it in transit.

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Private cloud use cases: 6 ways private cloud brings value to enterprise business

IBM Big Data Hub

Enterprise organizations in industries that need to meet strict regulatory compliance standards or comply with data sovereignty laws (manufacturing, energy, oil and gas) frequently choose private cloud environments when they need to meet strict regulatory standards. All the major public cloud providers (e.g.,

Cloud 99
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#ModernDataMasters: Sarit Bose, Cognizant

Reltio

“We all know the “garbage in, garbage out” saying but unless you are working in data management then it is probably hard to gauge just how important it is to get the data right and the impact it can have on the results of your analytics.”. I learned this very early on and it is even more important in today’s world of big data.