Driving Down the Price of Risk

April 16, 2013 | by Mike Kearney, Sr. Product Marketing Director
Companies that insure our road vehicles request information including the driver’s age, gender (no longer legal in Europe), claims history and the ZIP or post code where the vehicle is parked at night. On this narrow data set, insurers construct an analytic model used to assess and price risk. A...

6 steps to start your big data journey

April 12, 2013 | by Sushil Pramanick, Sr. Managing Consultant for Business Analytics & Optimization Practice, IBM
Move beyond the buzzwords and cross the start line on your big data journey. Sushil Pramanick offers 6 crucial steps for answering the "what, where and how do I start" questions.

Data Journalism: Big Data, Data Science, & the Art of Non-Fictional Storytelling

April 12, 2013 | by James Kobielus, Big Data Evangelist, IBM
Data journalist? Something about that nouveau term feels a bit pretentious—and unnecessary. Every journalist is a “data journalist” of one sort or another, in the same way that every scientist is at heart a “data scientist” (see this blog for my take on the latter). After all, the core function of...

Juggling Multi-Channels

April 11, 2013 | by IBM #CXO Twitterchat, Leading weekly #CXO chats, Mondays 12pm ET
In today’s multi-channel market place, it’s mandatory that businesses determine how and where customers buy different products or services, then shift accordingly. To remain agile, businesses need to utilize insight to manage and adjust their strategy as customers channel hop.Companies with an...

Recap of IBM Twitterchat: Enterprise Challenges of Incorporating Hadoop

April 11, 2013 | by James Kobielus, Big Data Evangelist, IBM
Hadoop is fundamental to the future of big data. Users are adopting Hadoop for strategic roles in their current data warehousing architectures, such as extract/transform/load (ETL), data staging and preprocessing of unstructured content. Hadoop is also a key technology in next-generation massively...

Twitterchat Recap: Exploring Enterprise Challenges of Incorporating Hadoop

April 11, 2013 | by IBM #bigdatamgmt Twitterchat
Our #bigdatamgmt panel of big data and database experts chatted about the challenges they've encountered while incorporating Hadoop - and offered advice for moving forward.  

Embracing Analytics to Build a Smarter Government

April 10, 2013 | by Gregory Greben, Vice President, Public Sector BAO Market Leader, IBM
Earlier this month, IBM Chairman, President and CEO, Ginni Rometty, spoke to the Council of Foreign Relations (CFR) about creating a Competitive Advantage in the Era of Smart. According to Ginni, data is the “basis of competition in the ‘smarter’ era.” In the new ‘smarter’ landscape, organizations...

How Big Data and Cognitive Computing are Transforming Insurance: Part 2

April 10, 2013 | by Kim Minor, Worldwide Industry Marketing Manager for Insurance, IBM
In last month’s post, I talked about how cognitive computers, like IBM Watson, have the ability to do what the earliest underwriters did: approach each risk individually and, based on historical learning, apply reason and judgment to determine a rate. Cognitive computing allows insurers to analyze...

Gamified Analytics: Unlocking Disruptive Genius or Disrupting Data Quality?

April 5, 2013 | by James Kobielus, Big Data Evangelist, IBM
Games are fun, and fun can be a powerful force for creative genius, superhuman productivity, and, of course, personal satisfaction. Gamification is in vogue in online user-interface design these days. The term, defined here by Wikipedia, refers to online environments that incorporate systems of...

Amazing Tomorrow's Customers

April 4, 2013 | by IBM #CXO Twitterchat, Leading weekly #CXO chats, Mondays 12pm ET
Today’s customer is changing right before our eyes. It seems as if just yesterday customers were leery of online shopping or even mobile shopping. As technological developments, social media, and the data deluge change the way customers shop, buy and behave, companies must prepare for tomorrow’s...