With over 10,000 location-based smartphone apps alone, we have quickly come to rely on digital maps for everyday living. After conquering the consumer market, map applications are now gaining traction in the enterprise, with users expecting the same simple and intuitive experiences as in their personal apps. Bringing a location-based user experience to analytical and e-commerce applications helps users complete complex tasks rapidly and instinctively: booking a hotel room, checking inventory levels, finding the closest store.
Attend this webinar and learn how to:
Create solutions incorporating clustering, distance calculation, route optimization, geospatial querying, and geocoding refinement
Improve customer satisfaction
Increase cross-sell and up-sell opportunities
For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.