Greenplum’s Jarrod Vawdrey on Hot Trends in Analytics
This is a guest post from the SAS Voices blog written by Scott VanValkenburgh, Senior Director of Alliances at SAS.
SAS partners always bring valuable thought-leadership and industry perspectives to customer at events like Analytics 2012 and The Premier Business Leadership Series. Joining Deloitte and Teradata to talk about big data opportunities and trends is Jarrod Vawdrey, data scientist with Greenplum, a division of EMC.
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THE PROVING GROUND: AGILE ANALYTICS
Agile development has been all the rage for a while now – extreme programming, scrum, user stories, epics, backlogs, etc. have become the lingua franca of any software development organization worth it’s salt. And although notion of agile development hasn’t yet completely penetrated other parts of the enterprise, there is an increasing awareness of the benefits of agile development.
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PHARTS: A Proposed Metric for Measuring Basketball Player Value
As a data guy, I have always enjoyed learning about the power of statistics combined with the right metric(s) – together these two components are able to be used to drive effective decisions that lead to a desired outcome. A great example of this – as I am sure many folks are already aware – is documented in Michael Lewis’“Moneyball”. In a nutshell, Moneyball describes how Oakland A’s General Manager Billy Bean was able to use “The Right Metric” – in this case On-Base Percentage – combined with statistical analysis to effectively acquire players that led to overall team success. This approach is nothing new in the world of sports or business, but it’s good to have this constant reminder of how creative thinking (the pursuit of the right metrics, the right attributes) and modeling (using the tools of Data Science) can lead to remarkable results.
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Greenplum Sponsors Research on Big Data Analytics
The sheer enormity of big data presents competitive, technical, and organizational challenges to businesses. Organizations must manage the massive amount of content generated by users and machines to reap predictive insight from a deluge that increases in real-time. It’s an adjustment that requires new approaches to doing business.
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