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:


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Why Customer Segmentation Is Important

Customer segmentation is important for any organization as it helps customer-centric marketing that in turn generates a huge return on investment. CRM streamlines this process so that you reach the customers who are most receptive. So, this article explores why combining customer segmentation with CRM software benefits your organization. They are: Analyze patterns and trends, determine the lifetime value of customers, increase sales, and increase engagement. Read more at:



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Segmentation of customers with the help of CRM

A business can have numerous customers. Any organization needs to segment their customers. While segmenting the customer list can be done by ranking customers by order size. The analytical tools in the CRM package let you go far beyond a simple ranking. You can get a 360 degree view of your customers. You can increase business with these high-value customers by meeting their needs more effectively. Read more at:




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Digital Marketing Principles

According to a 2014 study, “88 percent of executives have begun a digital transformation at their company, but only 25 percent say they have completely mapped out the digital customer experience. A big part of the problem is that senior executives don’t know where to start.

The impact of digital revolution has been huge. But, what all companies want is to embrace this impact and emerge as leaders of their field. They want to easily adapt to these changes like HMV did when the digital era of music challenged its business.

Joerg Niessing, INSEAD Affiliate Professor of Marketing, in his article at, has listed out three important principles that companies should keep in mind while mapping out digital customer experience. They are:

  • Customer Orientation
  • Customer Segmentation
  • Integrated Branding at every Consumer Touchpoint

Although digitalization has changed the way we live and work. But, the golden rule of marketing still works nevertheless i.e. Be Customer Centric. Keep this mind along with the above mentioned principles; you may get a solution to this changing marketing scenario.

To know more, please visit the following link:

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Social Media Analytics: Knowing Your Customers

Nowadays companies need to know to about their customers very well because customers collect information from many channels and there is vast amount of data to analyze and little resources to map the insights against business goals. Social media analytics gives us that opportunity. By listening to the voice of the customer and analyzing, filtering and organizing the data, we can create customer segmentation that would benefit any brand. It allows us to go beyond CRM and audience targeting techniques and find out what is important to consumers. To know more, follow Ekaterina Walter (Bestselling Author; International Speaker; Global Evangelist, Sprinklr)’s article link: :



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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:

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