Doug Laney

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Entries Tagged as 'data science'


A Look Back on My Information and Analytics Strategy Research from 2014

by Doug Laney  |  December 2, 2014  |  Submit a Comment

As we at Gartner plan our research agendas for 2015 (and as you set your 2015 and beyond information and analytics strategies) it’s good to reflect on what we thought and wrote over the past year. So without further ado, here it is: In Agenda Overview for Information Innovation and Governance, 2014 I shared out that our research was going […]

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Countdown to Symposium: 30 Ways to Innovate with Information

by Doug Laney  |  September 5, 2014  |  Comments Off

The countdown to Gartner Symposium is on! So for each day over the next month in this space you will see a countdown of my favorite ways actual organizations are transforming business processes and inventing new business models and offerings using available information assets, big data and analytics. Don’t just be impressed, be inspired!  How […]

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Back to School: Gartner’s Big Data Syllabus for 2013-14

by Doug Laney  |  August 19, 2013  |  Comments Off

As summer wanes and the kids are heading back to school, I got to thinking about what a Big Data university program might look like if taught by some of the top minds at Gartner. So if you are matriculating this year or just considering enrolling with Gartner, here are your syllabus and instructors for […]

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Defining and Differentiating the Role of the Data Scientist

by Doug Laney  |  March 25, 2012  |  5 Comments

The research note, Emerging Role of the Data Scientist and the Art of Data Science, I authored with colleague Lisa Kart just hit the Gartner wires this week. Since most of the data scientist role dissenters  we come across seem to believe that the role’s title is is nothing more than a pretentious moniker for […]

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Highlights from Today’s #GartnerChat on Big Data

by Doug Laney  |  January 28, 2012  |  Comments Off

Today the Gartner Information Management and Analytics Community held its weekly Twitter Chat, (Tweetchat, Tweetjam, TweetUp, whichever you prefer) to discuss concepts around big data, the role of the data scientist, and data quality. Over a half dozen Gartner analysts shared their ideas and research. (Where else can you get access to that many Gartner […]

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