Can a country's online "mood" predict unemployment spikes?
"SAS and United Nations Global Pulse have learned that social media chatter and conversation sentiment could warn of pending unemployment increases and inform policymakers of likely effects. Analyzing half a million blogs, forums and news sites, SAS® Social Media Analytics and SAS Text Miner examined two years of social media data from the US and Ireland for references to unemployment and how people were coping."
UniCredit Group trusts Teradata, SAS to analyze sales and business network MarketWatch DAYTON, Ohio, March 20, 2014 /PRNewswire/ -- UniCredit Group, a large financial institution based in Italy, is driven to develop and execute effective data...
While at the Joint Statistical Meeting a few weeks ago I was talking to a friend about various aspects to clinical trials. He indicated that no current R package was able to perfectly reproduce Passing-Bablok (PB) regression so ...
Software firm SAS Analytics claims it can reduce UK insurers' combined operating ratios (COR) by up to 3% by using a model that incorporates six fraud identification steps to tackle motor and liability insurance fraud. SAS estimates that one in 10 policies is fraudulent (based on three years' worth of claims, payment and reserving data from UK firms).
Martyn Kyle, head of insurance at SAS, said: “While reducing third party personal injury claims has long been a priority for insurers with large motor books, liability is an area where fraud is increasingly prevalent and where predictive analytics can help. We predict COR reductions of 1% to 3% can be achieved across the board – a result that should counter reticence regarding data sharing".
SAS is yet to sign up any UK insurers to its new offering.
Details: Job Classification: Direct Hire Responsibilities:Uses professional concepts and company's policies and procedures to solve a wide range of difficult problems in imaginative and practical ways to support lead programmer in generation of...
Imagine a world where every customer interaction can be based on optimizing the price of new products in a way that increases retention, grows revenue and improves the bank’s profits – while providing optimal customer experience.
With SAS High Performance Analytics (HPA), banks can compare customer’s current profitability w/propensity, credit scores, external data for CLV.
On April 21 and 23, I'll be teaching a webinar, R for SAS, SPSS and Stata Users. With each R concept, I'll introduce it using terminology that you already know, then translate it into R's very different view of the world.
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