Location Analytics and Business Intelligence
Since the past decade, business communities have started to adopt location technology and predictive analytics into their business models. Location analytics blends business data with geographic data to reveal the relationship of location to people, events, transactions, facilities and assets. Many BI and analytics software vendors today are integrating mapping and spatial data analytics into their products to provide additional context to visualizations, reports and analysis.
Location analytics help optimize business decisions, from deciding where to locate a new store to improving a supply chain or creating more engaged marketing campaigns. Insurance and financial services use location analytics to simulate risk and verify claims. Businesses also use location technology to manage customers by integrating their ERP, CRM and social networking platforms with GIS.
Location Analytics and Business Intelligence track shall feature business users from mainstream industries discussing the value of geospatial integration in their business workflow.
Bert Klaassens Senior Economic Advisor
Authority for Consumers and Markets
Singapore Land Authority
European GNSS Agency
Valrie Grant Founder and Managing Director
Eric van Rees Writer
Lucas Matney Writer
- Banking, Financial Services, and Insurance (BFSI)
- Emergency Services
- Energy and Utilities
- Healthcare and Life Sciences
- Marketing and Advertising
- Media and Entertainment
- Real estate
- Retail and Consumer Goods
- Transportation and Logistics
- Travel and Hospitality