A Rush of Ideas: Kalev Leetaru at Data Science DC – Data Community DC

See on Scoop.itData Nerd’s Corner

Carla Gentry CSPO‘s insight:

Perhaps you’ve heard the phrase lately “software is eating the world”. Well, to be successful at that, it’s going to have to do as least as good a job of eating the world’s data as do the systems of Kalev Leetaru, Georgetown/Yahoo! fellow.

See on datacommunitydc.org

Predictive Modeling for Data Scientists (Data Doghouse – performance management, business intelligence, and data warehousing)

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From Descriptive to Prescriptive: Evolving Your BI Strategy Business intelligence has traditionally focused on the past: What brought us to this point? But in recent years, enterprises have increasingly turned to BI to determine where and how to improve performance….

Carla Gentry CSPO‘s insight:

Analytic models can greatly facilitate this process, helping professionals identify insights hidden in large amounts of data, especially data that changes often. Such models can also significantly expedite the process of insight-to-action, leading to streamlined operations and happier customers.

See on datadoghouse.typepad.com

Why Has Social Media Analytics Met With Limited Success In Market Research? | GreenBook

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The strength of social media monitoring and listening is that it can answer questions you had not asked, perhaps had not even thought of. Its weakness is that

Carla Gentry CSPO‘s insight:

It is very hard to attribute the comments to specific groups, for example to countries, regions, to users versus non-users – not to mention little things like age and gender.

See on www.greenbookblog.org

Debating the STEM Crisis — or Lack Thereof – US News

See on Scoop.itData Nerd’s Corner

Some say there are actually too many STEM-trained individuals for the workforce demand.

Carla Gentry CSPO‘s insight:

Much of the wide-ranging debate, as it turns out, depends on how you frame the situation. Part of the challenge comes because there’s no hard-and-fast definition for what occupations fall into the STEM category — some researchers include health care and social sciences, while others exclude them, for example. Although there are many nuances to the discussion, here are a few takeaway points from the panel: 

See on www.usnews.com

From Eye Shadow to Raccoon Eyes: This Data Chief Solves Problems

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A Q&A with Videology Chief Data Scientist Kevin Haley

Carla Gentry CSPO‘s insight:

"One of the things I have seen in my past is that data science and mathematicians can work a bit in isolation and a bit too much in theory," he said. "Let’s make sure that what we’re doing is solving a real problem…to make sure we’re not doing math for the sake of it."

See on adage.com

Transforming Store Operations with Analytics | Trends and Outliers

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Analytics can help store managers understand shifts in customer preferences, employee productivity, and merchandising strategies to make them more productive.

Carla Gentry CSPO‘s insight:

Point-of-sales (POS) systems offer retailers a font of information about customer behaviors. Store managers and other retail executives can analyze POS data to extrapolate insights about hot-selling products as well as other customer buying trends that are emerging. Syndicated data in tandem with POS data create even greater insight. – See more at: http://spotfire.tibco.com/blog/?p=23822#sthash.XPtczDMa.dpuf

See on spotfire.tibco.com

A Statistical Analysis of the Work of Bob Ross

See on Scoop.itData Nerd’s Corner

Bob Ross was a consummate teacher. He guided fans along as he painted “happy trees,” “almighty mountains” and “fluffy clouds” over the course of his 11-year television career on his PBS show, “The …

Carla Gentry CSPO‘s insight:

Conditional probability can be a bit tricky. We know that 44 percent of Ross’s paintings contain clouds, 9 percent contain the beach and 7 percent contain both the clouds and the beach. We can use this information to figure out two things: the probability that Ross painted a cloud given that he painted a beach, and the probability that he painted a beach given that he painted a cloud. You divide the joint probability — 7 percent in this case — by the probability of the given — 44 percent or 9 percent, depending on whether you want to know the probability of a beach given a cloud or a cloud given a beach.

See on fivethirtyeight.com

Is data science a science? – Data Matters

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Carla Gentry CSPO‘s insight:

Data Science is, then, officially in vogue. Not just the pet name for data analytics at Silicon Valley companies, like Google, LinkedIn, Twitter, and the rest, but anointed as a ‘science’.

See on www.computerweekly.com

VIDEO + SLIDESHOW: How The Data Analyst Will Revolutionize Business Decision Making

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With advances in big data, artificial intelligence and increased metric captures of everything we do in the digital world, business analytics will go through a radical transformation in the next few years. Today, analytics practitioners influence business decision makers. In the future, analysts will own business decision making. How will this affect the way marketers […]

Carla Gentry CSPO‘s insight:

Key TakeawaysThe difference between a good and a great analyst.How to meet a strategic business need using data.Learn how to explain analytics in a non-technical way.Earn budget and buy-in to continue analytics investment.

See on marketingland.com

What makes the perfect data scientist?

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Demand for data scientists is ballooning, but what attributes should enterprises be looking for in candidates?

Carla Gentry CSPO‘s insight:

Forrester Research analyst Mike Gualtieri believes a good data scientist can apply their expertise to any field. He gave the example of the “recommendations” section of Netflix, and said that it was mathematicians who were behind the development– not people with an intimate knowledge of Netflix’s audience.

See on www.computing.co.uk