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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

Use of Big Data in Insurance

Big data - which admittedly means many things to many people - is no longer confined to the realm of technology. Today, it is important in any business. In addition to providing solutions to insurance companies' long-standing business challenges, big data solutions offer the power to transform processes, organizations and entire industries. Big data is especially promising and differentiating for insurance companies. With no physical products to manufacture, data is arguably one of their most important assets. Financial, actuarial, claims, risk, consumer, producer/wholesaler and many other types of data form the basis for every decision an insurer makes.

Insurance companies will realize value by effectively managing and analyzing the rapidly increasing volume, velocity and variety of new and existing data. By putting the right skills and tools in place to better understand their operations, customers and new markets, insurance organizations will be on the right track to compete and thrive in this global, dynamic marketplace.

 

Read more here- http://analyticsindiamag.com/has-the-insurance-industry-mastered-the-art-of-utilising-big-data/

 

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Big Data Analytics in Retail

The retail industry is B2C industry. In B2C industry, forecasting and planning future demand and supply is a very important function to improve operation's efficiency. But, consumer behavior is very unpredictable. To analyze this unpredictable behavior, retail stores need to analyze big data. In Consumer Goods Analytics Summit in Chicago, suggestions on applying Big Data Analytics in Retail Industry were discussed. Let’s have a look on some of them:

·        By using big data analytics try to find out actual problem and their solution.

·        Apply analytics in every possible way from making sales report to multi-structured data to understand and improve customer service.

·        Always Interpret big data.

·        Recruit persons who understand the value of data analytics. 

To know more about Big Data Analytics in Retail, read the article link “Are retailers organized for Analytics” by Gib Basset, (Consumer Goods and Retail Industry Principal with Oracle Corp) at: http://www.retailwire.com/news-article/18266/are-retailers-organized-for-analytics

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