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

CRM Analytics

CRM (customer relationship management) analytics comprises all programming that analyzes data about customers and presents it to help facilitate and streamline better business decisions.
CRM analytics offers insights to understand and use the data that is mined. CRM is used in Customer segmentation groupings, profitability analysis and customer value, personalization, measuring and tracking escalation and predictive modelling.
CRM analytics can lead to better and more productive customer relationships through the evaluation of the organization's customer service, analyzing the customers and verifying user data. CRM analytics can lead to improvement in supply chain management.
A major challenge is to integrate existing systems with the analytical software. If the system does not integrate, it is difficult to utilize collected data.
 
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The Art of Digital Segmentation and Drawing Customer Attention

Digital segmentation is the way to divide the consumer database into multiple homogeneous actionable groups. It is an integral part of Market Research Analytics. In this article link, the author writes about customer segmentation and how to develop digital personas, what are the impact areas, especially during high volume sale seasons. Read more at: https://www.blueoceanmi.com/blueblog/customer-segmentation-and-digital-personas/

 

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CRM Analytics: A form of online analytical processing

CRM (customer relationship management) analytics comprises all programming that analyzes data about an enterprise's customers and presents it so that better and quicker business decisions can be made. CRM analytics can be considered a form of online analytical processing (OLAP) and may employ data mining. As web sites have added a new and often faster way to interact with customers, the opportunity and the need to turn data collected about customers into useful information has become generally apparent. As a result, a number of software companies have developed products that do customer data analysis. According to an article in InfoWorld CRM can provide customer segmentation groupings, profitability analysis, personalization, event monitoring, what-if scenarios and predictive modelling. One of the major challenges implicit in CRM analytics is how to integrate the analytical software with existing legacy systems as well as with other new systems. To know about CRM analytics go to: http:http://searchcrm.techtarget.com/definition/CRM-analytics

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