Location Analytics and Business Intelligence

Submit Abstract Deadline: 30 October 2018

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.

SESSION THEMES

Data Intelligence for Improved Business Performance

Data intelligence allows businesses to combine information from marketing campaigns, past sales, external data about market conditions and customers, social media, customer loyalty program, in-store interactions, and more for a fuller picture of their business performance. Adding location elements into the analysis will give businesses the ability to make informed decisions on future business strategies such as expansion location, advertising campaigns, change of business coverage, etc. The session will focus on businesses with high customer outreach requirements, including retail, telecommunication services, transportation, logistics, and travel and hospitality.

Advanced Analytics for Risk Assessment and Mitigation

Exploiting location data enables financial service organizations to assess and mitigate risks, and make informed decisions. Location analytics gives organizations the ability to monitor and detect anomalies in rapidly changing data, protecting them from fraud attempts. Insurance companies can measure and predict risk ahead of time by performing catastrophe modeling around high-risk locations. The information also help optimize insurance underwriting and in verifying claims. The session targets BFSI organizations, as well as other businesses with high risk impact.

Driving Customer Satisfaction with Location Insights

Customer engagement is critical for businesses. Consumers are increasingly choosing their suppliers by the level of customer service. Understanding customer behavior and delivering relevant and engaging interactions across the customer lifecycle will increase customer’s lifetime value. By precisely locating and geocoding a customer, the right information can be delivered to the right place at the right time, therefore, increasing customer’s satisfaction. Businesses have also started integrating their ERP and CRM system via GIS platform, allowing their sales and marketing team to track changes in customer habits, values and preferences based on location data. This helps businesses to make a more personalized and relevant customer experience. The session will showcase the value of location insights in enhancing customer satisfaction.

TARGET AUDIENCE

  • Banking, Financial Services, and Insurance (BFSI)
  • Emergency Services
  • Energy and Utilities
  • Healthcare and Life Sciences
  • Manufacturing
  • Marketing and Advertising
  • Media and Entertainment
  • Real estate
  • Retail and Consumer Goods
  • Telecommunications
  • Transportation and Logistics
  • Travel and Hospitality
Submit Abstract Deadline: 30 October 2018