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Available On-Demand - This webinar has been recorded and is now available for download.

Why Modern Enterprises Need Location Intelligence

Webinar Speaker: James Kobielus, Senior Research Director, Data Management

Date: Wednesday, October 25, 2023

Time: 9:00 a.m. PT / 12:00 p.m. ET

Selecting the right operating locations is a central decision that most organizations must make. Whether you’re a financial services firm trying to optimize branch locations, a retailer looking for the ideal brick-and-mortar sites, or even a public sector organization trying to fit into the communities you serve, location is everything.

Now more than ever, modern organizations must leverage location intelligence to succeed, even in a world where so much engagement is virtual and many people work and shop from their homes. Having access to comprehensive, up-to-date location data allows you to use sophisticated analytics to identify new market opportunities, address risks that could impact your business, and increase customer personalization and satisfaction.

It’s now business-critical to recognize the value of location data and empower teams across your organization with the right spatial analytics tools to stay ahead of rising competition. Join this webinar in which James Kobielus, TDWI senior research director for data management, and expert guests from Precisely will explore how modern enterprises can succeed with location intelligence.

Their presentations will address the following key questions about best practices and technologies that can empower modern organizations to harness the power of location data:

  • How can businesses use location intelligence more widely and effectively across all lines of business, processes, functions, and roles?
  • How can organizations use location intelligence to optimize operations through branch/site selection, geomarketing, and other decisions that rely on the spatial relationships hidden in location data?
  • What advanced tools, systems, and skills do organizations require to work effectively with geospatial data?
  • What expanded data integrity capabilities can take location intelligence business results to the next level?

Guest Speakers

Jennifer Kokkinos
Director, Product Management

Jennifer is responsible for defining and executing strategic initiatives, including interoperability with the Data Integrity Suite and leading the feature development roadmap. Jennifer brings deep product management experience in SaaS, solutions that combine software and data to generate customer value, and a background in spatial analytics.

Jennifer, who has a bachelor's degree in biology, and a master’s in business administration, is based in Rochester, New York.

Steve Rymers
Senior Manager
Location Analytics and Data Team

As a senior manager with Precisely’s Location Analytics and Data team, Steve has been helping organizations make better location decisions for over 30 years. Employing location data and spatial analytics solutions, he has worked on hundreds of client engagements throughout the U.S., Canada, Australia, New Zealand, and Singapore. Steve provides his clients with actionable insights to improve the placement and performance of their locations including recommendations on acquisitions, closures, openings, renovations, and relocations.

Prior to joining Precisely, Steve worked in retail site selection and helped to establish the site and market evaluation discipline at Comerica Bank in Detroit.

Ruslan Sultanov
Product Marketing Manager

As a product marketer at Precisely, Ruslan focuses on helping telco companies achieve their key business objectives. He works closely with clients and partners to help them understand the broad range of Precisely's data integrity capabilities and how they can be used to enhance existing telecom systems. With his extensive experience in managing location intelligence and data portfolios, Ruslan's expertise is instrumental in enabling customers to build a data-driven telecom sector and succeed in the rapidly evolving world of digital innovation.

James Kobielus

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