I recently spent some time with Robin Dement, Vice President, R&D-IT Medicines Development Capabilities at GlaxoSmithKline. Robin has a unique perspective on IT (Information Technology) since she started as a chemist in Research and Development at GSK. She is now responsible for managing relationships and prioritization across multiple R&D Executive members
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I recently spent some time with Eric Williams, former Executive Vice President and CIO of Catalina Marketing, to prepare for a whitepaper that he is writing on IT, analytics, innovation and business value. As always with Eric, it was a fascinating discussion so I thought I would blog about some
I recently attended the Cloud Expo in New York City where big data was a key topic. Keeping with the various topics addressed at the event, here are my thoughts as they relate to the Cloud Expo. Warning: if you are searching for strong conclusions or straightforward advice, you’ll need
David Linthicum wrote a blog post entitled "3 winners, 3 losers in the move to big data" on InfoWorld and notes that traditional vendors "did not see this coming" (big data that is). Since David made some interesting points, some of which I agree with, some I disagree, I felt it worthwhile
Analytics Infrastructure: Vision & Strategy Consideration #1 (Part 1 of 15 considerations for Analytics Infrastructure) In a perfect world, the entire organization would be aligned, and the analytics vision would be driven by top down, executive leadership. Since we aren’t living in a perfect world, it often takes work to
I recently presented with Jessica Dunn from Bank of America at the SAS Global Forum Executive Conference. Our presentation addressed the considerations necessary to build and manage an effective analytics infrastructure. Although we both worked on our presentations separately before we had a chance to discuss teh session, we built
Well, it's certainly a provocative title, and hopefully it will be a thought provoking conversation. I am participating in a panel discussion along with Philip Russom of TDWI, David Menninger of EMC, and James Markarian of Informatica. The discussion will be hosted by DM Radio hosts Eric Kavanagh and Jim Ericson. The interview occurs
In my previous two posts I introduced the need for data quality and big data and discussed the need for fit for purpose data quality and for stretching the limits of data quality for big data. In this final post on data quality and big data I’ll address the following:
In my last post I set the stage for data quality considerations for big data. Today, I’ll cover the following big data and data quality considerations: Data quality efforts should be "fit for purpose" Extend data quality by thinking “outside the box” Data quality efforts should be "fit for purpose"
Marketing is a big part of my job so I should be supportive of efforts to capitalize on the trend of the day. But given my background in R&D, I am dubious of marketing efforts that are not backed up by real product or solution capabilities. So, I’m a bit