Analytics offers heaps of promised benefits – from reduced churn to increased sales to deep and actionable insight on customer preferences. But sucessfully deploying analytics in your organization can be challenging. Where do I start? Which projects should be prioritized? How should my organization be structured for success? What technology innovations are key to include?
To many organizations, analytics means building a model that reveals new knowledge from data. Unfortunately, that’s too narrow a definition. Now that advanced analytical models are becoming high-value organizational assets – essential tools to attract and retain customers in telco, manage financial risk in insurance and banking, and predict demand