SigmaWay Blog

Many marketers find themselves faced with overwhelming amount of data and organizational complexity, rapidly changing customer behaviors, and increased competitive pressure. Data or information has always been the USP, but now people are not using that USP in their advantage. If an investment is made in big data, one can extract only the relevant information and analyze it to transform the business decisions for the future.

Please go through the link for more details:http://www.marketingprofs.com/charts/2014/24321/marketers-and-big-data-in-2014-barriers-budgets-and-opportunities

Communication is an absolute essential entity to allow successful improvement in healthcare industry. Effective communication will allow relevant and correct flow of data through the organization. With more relevant data, analysis will also be more accurate and will automatically lead to improvement in the healthcare industry.

Please go through the link for more details http://healthcareanalytics.info/2012/03/successful-healthcare-improvement-requires-analytics-and-effective-communications/#.UyhlIqIyX4s

Healthcare organizations are becoming proficient at creating and storing terabytes of data each month. Unfortunately, their skills to transform that data into knowledge and useful information are not quite so impressive.

The major primary obstacles to widespread analytics adoption are:-

·         Culture does not encourage sharing information.

·         Lack of understanding how to use analytics to improve the business.

·         Ownership of the data is unclear or governance is ineffective.

Please go through the link for more details:

http://healthcareanalytics.info/2013/11/three-main-barriers-to-widespread-analytics-use-in-healthcare-organizations/#.UyhkhqIyX4s

In USA, approx. 8o% of hospitals are using electronic health records, due to which it is possible to gather useful information for research & development. Now healthcare industries are actively looking for transformation of its major areas by meaningful use of analytics.

To know about its challenges and impact, please go through the link: http://ehrintelligence.com/2014/03/17/for-healthcare-analytics-you-need-to-have-goals-in-sight/

 “The future is like a corridor into which we can see only by the light coming from behind”, well said by Edward Weyer Jr..  Like that, to analyze anything, the first step is to collect relevant data and develop predictive score for each element, the second step is to assess these predictive score and then implement it into a model. Finally prediction and conclusion can be made accordingly.  The book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die by Eric Siegel explains how predictive and other insights associated with predictive analysis work.

Please go through the link for more details:

http://www.amazon.com/Predictive-Analytics-Power-Predict-Click/dp/1118356853

Mick Collins a senior consultant with SuccessFactors, writes in his blog, how companies are growing with the use of big data analytics in the field of Human Resources.

For More Information :- 

A presentation by Geoff Watts, Chief Executive Officer  & Co-Founder of EDITD, where he speaks about how big data is helping the fashion industry. As apparel brands are going global, huge amount of retail and consumer data are generated .To tap these data, the fashion industry is taking the help of different analytical tools to get a complete picture of the industry during different time periods and take a decision.

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Lyndon Henry, technical consultant, Light Rail Now Project, writes about the general applications of Analytics and Big data in modern rail passenger and rail transit systems. 

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According to an article by Michael Passingham, a V3 reporter, DHL, a Global logistics firm, has been able to cut the cost of running its worldwide distribution network with the help of big data analytics.

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