Location, Location, Location: How Geoenrichment Can Improve Business Intelligence and Analytics
Webinar Speaker: David Stodder, Senior Director of Research for BI, TDWI
Guest Speaker: Javier Ruiz, Principal, Intelligent Data Solutions
Date: Thursday, December 7, 2017
Time: 9:00 a.m. PT, 12:00 p.m. ET
Webinar Abstract
Geospatial data is growing in importance for business intelligence as users seek to make sense of diverse data. One element that many types of data have in common is location. Critical attributes of human, machine, and application-generated data become clearer when the source’s location—or movement from one location to another—is known and incorporated into reporting and analysis. Business users can spot trends, patterns, gaps, and other data relationships more clearly if they are able to visually integrate different types of data with maps. If organizations can enrich demographic, behavioral, operational, and other data with location information, they will be on a faster path to generate breakthrough insights and make smarter decisions.
Attend this TDWI Webinar to learn how geoenrichment can improve BI and analytics. We will discuss the current state of technology, data sets to geoenrich enterprise data with, and practices for geoenrichment, including crucial issues involved in data preparation and processing of location-based data for BI and analytics. Speakers will discuss why location-based data is growing in importance as users in organizations reach beyond familiar data to tap big data sources generated by customers, machines, and mobile devices.
Topics that this Webinar will address include:
- TDWI research insights into what’s driving the need for geoenrichment in BI and analytics
- Dominant use cases for geoenrichment, including customer intelligence, marketing, Internet of Things (IoT) applications, risk analysis, and real-time event notification
- How to address data preparation, integration, and processing requirements for geoenrichment
- Best practice recommendations for geoenrichment for BI and analytics
David Stodder