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SigmaWay Blog

SigmaWay Blog tries to aggregate original and third party content for the site users. It caters to articles on Process Improvement, Lean Six Sigma, Analytics, Market Intelligence, Training ,IT Services and industries which SigmaWay caters to

Big Data and its social side

Big data enables understanding of complex customer sentiments and intent which improves service management. Today it is easier to process customer sentiments and intents through social media and develop social customer relationship management or social CRM. To make this effective it is important to capture the natural language knowledge and rapidly and securely making those insights available to tye best pay off channels. 

This podcasts bring together customer analytics services provider Attensity, with its natural language processing technology, and HP Vertica with Big data analytics capabilities to explain how effectively listen to social Web and rapidly gaining valuable insights and actionable intelligence.

Some participants are Howard Lau, chairman and CEO of Attensity, and Chris Selland, vice president of marketing and business development at HP Vertica. The discussion is moderated by Dana Gardener, principal analyst at Interarbor Solutions.

more at: http://www.crmbuyer.com/story/80826.html

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Healthcare: Why moving beyond EHR is needed?

Electronic Health Records are critical to succeed in healthcare service, but they are not enough.From a healthcare provider’s perspective, after spending a lot of money and time on EHR, reluctance to evaluate other solutions for population health management or “accountable care” can be understood. So, healthcare providers are choosing to wait for their EHR to evolve in order to address new demands associated with taking on and managing risk. But according to industry analysts this can be a long wait as wide range of functions are going far beyond what EHRs were built to do. Here analytics tools and solutions come to the rescue. Performing analytics using clinical and claims data, organizations can gain deep insight into patients, population, and performance, predict outcomes and rapidly identify the actions needed for improvement. This insight can be gained through a wide range of analytics solutions that deliver retrospective views of activity, ongoing surveillance of current activity, predictive modelling of future activity, as well as root-cause analysis.

To read more, visit the following link:

 

http://ehrintelligence.com/2014/04/09/why-moving-beyond-the-ehr-is-needed-for-population-health/

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