Without a doubt, data integration is essential to the success of big data projects. However, some folks in the big data vendor community, including data warehouse, Hadoop and data integration vendors, are telling a very confusing story about the fitness of Hadoop as a data integration platform.
On January 9, 2014 IBM announced that it was forming a new organization (the Watson Group) and investing a billion dollars ($1B!) in future Watson development. The company also announced three new Watson cloud services—The Watson Discovery Advisor, Watson Analytics and IBM Watson Explorer—as well
When IBM announced innovations in information integration and governance for big data last fall, we IBMers believed we were on to something. Experience with clients worldwide suggested that automated integration, enabling self-service integration for big data repositories, would be a big deal. A
When an organization sets out to become more customer-centric, lots of changes have to happen. Employees—from senior executives to the frontline—must change and adopt new behaviors and mindsets. Processes and technologies must change to reflect the company’s customer-centric desires. Large-scale
"Don't we already have a data warehouse solution?"
"Is big data even relevant to our organization?"
"Why do we need it?"
"Isn't big data costly and hard to implement?"
There is an obvious disconnect between the C-Suite and big data initiatives. Given today’s competitive market it’s hard to
Children are such a glorious creation; being a parent of three (eight, seven and five) I’m allowed to pass judgments like these. They can bring so much joy and so much frustration at the same time. And they are absolutely amazing to observe. Take chores for example: asking them to clean their room
My previous blog posts have been focused on how analytics can help drive telematics to the mass market and help identify who is suitable for a telematics policy. In this blog we take a step back to consider the data privacy and security issues around the data that is generated from devices or apps
Discover the customer behind the data
In this day and age it is getting easier and less expensive to collect all kinds of data. But what matters is not how much data you can amass but what you do with this data. How can you use the data of past, present and future to gain insight and drive
In my first post I introduced the idea that most “big data” isn’t really big at all, and doesn’t conform to Gartner’s 3V’s. Instead, I've suggested that there’s benefit in focussing on “broad data”, or the use of many different sources of data to give us richer information. We put forward 4O’s of
Insurance companies are working to define solutions that support integration across a number of sources to provide a “360-degree view” of producers and policyholders. This single view brings together information about the policy, claims, billing, interaction, risk profiles, agent and agency
Insurers have relied on black box solutions for Telematics to date. This blog entry will examine the use of SmartPhones as an alternative to the black box and how it may benefit both the Insurer and the Consumer.
The cost of entry into the Telematics market for Insurers has been high to date,
Co-authored by Kim Minor, Worldwide Industry Marketing Manager for Insurance at IBM.
Claims fraud is an important topic, so we’ve written about it several times before. In this blog, I want to discuss how IBM big data capabilities can augment an existing fraud system at any insurer. By wrapping