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Related: Editorials & Other Articles, Issue Forums, Alliance Forums, Region ForumsBooz Allen to help corporations limit fraud with big data
“Big Insights” Demand the Right Data Science Team, Says Booz Allen Hamilton
Tuesday, Aug, 6, 2013; - by Geeks News Desk
With the explosion of cloud technology and advanced analytics, it's suddenly possible to pair the diverse, seemingly-unrelated sets of data to attain mission-driving insights. But it's only with the right data science team - a fusion of technical and domain experts - that organizations can push past the hype of "big data" to "big analytics," and reach those game-changing insights.
~Snip~
Application of the scientific method to diverse data. Using the model - observe, question, hypothesize, test and analyze - the team can produce an entirely new level of insight and direction from diverse sets of data. For instance, for a financial services firm seeking to deter fraud, this may involve examining connections between payment records and exchange rates.
A six to nine month rotation of the team's domain specialists. Armed with institutional knowledge in areas such as financial services, healthcare or defense, these domain specialists can contribute to a stronger understanding of the mission at the data science team level, and importantly, carry back new insights to organization decision makers....
"The emerging field of data science is a fundamental piece to unlocking the power hidden within the avalanche of data," said Booz Allen Hamilton vice president and data scientist Dr. Joshua Sullivan. "Our government and commercial clients see the greatest return when their data science teams possess the expertise to help ask intuitive questions of data, and the ability to translate the newly-discovered insight into information that matters to the organization's core mission."
Full article:
http://geeks.broadwayworld.com/article/Big-Insights-Demand-the-Right-Data-Science-Team-Says-Booz-Allen-Hamilton-20130806
Tuesday, Aug, 6, 2013; - by Geeks News Desk
With the explosion of cloud technology and advanced analytics, it's suddenly possible to pair the diverse, seemingly-unrelated sets of data to attain mission-driving insights. But it's only with the right data science team - a fusion of technical and domain experts - that organizations can push past the hype of "big data" to "big analytics," and reach those game-changing insights.
~Snip~
Application of the scientific method to diverse data. Using the model - observe, question, hypothesize, test and analyze - the team can produce an entirely new level of insight and direction from diverse sets of data. For instance, for a financial services firm seeking to deter fraud, this may involve examining connections between payment records and exchange rates.
A six to nine month rotation of the team's domain specialists. Armed with institutional knowledge in areas such as financial services, healthcare or defense, these domain specialists can contribute to a stronger understanding of the mission at the data science team level, and importantly, carry back new insights to organization decision makers....
"The emerging field of data science is a fundamental piece to unlocking the power hidden within the avalanche of data," said Booz Allen Hamilton vice president and data scientist Dr. Joshua Sullivan. "Our government and commercial clients see the greatest return when their data science teams possess the expertise to help ask intuitive questions of data, and the ability to translate the newly-discovered insight into information that matters to the organization's core mission."
Full article:
http://geeks.broadwayworld.com/article/Big-Insights-Demand-the-Right-Data-Science-Team-Says-Booz-Allen-Hamilton-20130806
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Booz Allen to help corporations limit fraud with big data (Original Post)
think
Aug 2013
OP
Figures lie and Liars figure. I am sure they will use their crooked pencils to write crooked books. Hire a thief to stop a thief.
markiv
(1,489 posts)2. how i interpret this
they will quietly lobby behind the scenes for obscure language as riders on non germain bills to allow (ever expanding) NSA collected data to be used as source analytical input for things like credit reports - all for the 'public good' of course