Analytics

Cloud Predictive Analytics Most Used To Gain Customer Insight

Using analytics to better understand customer satisfaction, profitability, retention and churn while increasing cross-sell and up-sell are the most dominant uses of cloud-based analytics today.

Jim Ericson and James Taylor presented the results of Decision Management Solutions’ cloud predictive analytics survey this week in the webinar Predictive Analytics in the Cloud 2013 – Opportunities, Trends and the Impact of Big Data.  The research methodology included 350 survey responses, with a Web-based survey used for data collection.  The survey centered on the areas of pre-packaged cloud-based solutions, cloud-based predictive modeling, and cloud deployment of predictive analytics.  You can see a replay of the webinar at this link.

Key takeaways of the study results released during the webinar include the following:

  • Customer Analytics (72%), followed by supply chain, business optimization, marketing optimization (57%), risk and fraud (52%), and marketing (58%) are the areas in which respondents reported the strongest interest.
  • When the customer analytics responses were analyzed in greater depth they showed most interest in customer satisfaction (50%) followed by customer profitability (34%), customer retention/churn (32%), customer management (30%), and cross-sell/up-sell (26%).
  • Adoption was increasingly widespread and growing, with over 90% of respondents reporting that they expected to deploy one or more type of predictive analytics in the cloud solution.

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