Leveraging and visualizing location analytics for optimal site selection

Answering the question of where with meaningful data and analytics is now the expected norm, not the exception. This sentiment is felt acutely within the retail sector - where should we locate our next unit? What are the deployment options and implications? Given the presence of existing units, area demographics, and competitive environment, what does a site’s underlying demand look like? The good news is that these questions are being clearly answered with solutions that are improving business outcomes.

Join the Applied Analytics and Services team at Pitney Bowes to review examples of how they use desktop mapping software (MapInfo Pro) to create a visual interface of multiple data sources including census level geographies, competitive data sets, and predictive analytics to drive revenue forecasts, enabling the opportunity to optimize new location decisions in the process.

In this webinar, you will learn

  • How to enable businesses to identify optimal potential store locations
  • The role of data in driving confidence in decision making
  • How MapInfo Pro and data can help you visualize and analyze potential retail sites and their surrounding areas

Who should attend

GIS professionals, managers, directors, and analysts; business analysts; business intelligence solutions users needing location analytics; current and prospective MapInfo Pro users; users of competitive desktop mapping products, strategy and marketing leads.

Speakers

Tom Coats, Principal Consultant, Applied Analytics and Marketing Services, Pitney Bowes

Stefan Bonitatibus, Senior Research Analyst, Applied Analytics and Marketing Services, Pitney Bowes

Tom Probert, Global Product Manager, MapInfo Pro, Pitney Bowes

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