Unlock the Valuable Customer Intelligence in your Data – Customer Analytics
The era of Big Data is awakening companies to the opportunities to use customer data for competitive advantage. Yet, most marketers are in the early stages of leveraging the value of their customer data. Download this eBook to learn how to use customer data for data-driven decisions.
We asked 28 Experts to generously answer this question and share their best-practices with us:
What advice would you give someone in your industry to get business value from text analytics? Read the eBook to see what they had to say.
Data Science Platform eBook
8 GUIDELINES for choosing the right DATA SCIENCE PLATFORM for YOUR Business Analytics Needs
Organizations are looking for analytic tools that automate and ease current decision making processes, increase productivity and transition current decisioning methods from reactive to proactive to actionable. There’s just one problem. Choosing the right analytics solution is not crystal clear! Find out how you can cut through the analytics noise in pursuit of the right Data Science Platform for your business analytics needs.
Best practices in the financial services have moved toward the use of proprietary credit scores and strategies created using data mining and predictive analytics. These allow financial services organizations to augment and extend generic scores and scorecard based systems in order to make more differentiated decisions at the individual borrower level. This eBook will explore 5 key areas where fast, better scorecard development can be enabled with the use of predictive analytics.
This eBook walks you through the journey of considerations when performing predictive analysis on customer data with Customer Relationship Management (CRM) systems. As the pace of business quickens, and competition stiffens, the ability to focus and generate better and faster decisions will be what differentiates market leaders from the rest.
This eBook will help you leverage customer feedback to support customer experience management. Learn how to extract meaning from customer feedback buried in social media (blogs, tweets, forum posts) and other voice of the customer (VoC) channels such as call center logs, emails and customer surveys.