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

Unlocking Data-Driven Insights Using Location Intelligence and Cloud Analytics

Webinar Speaker:  David Stodder, Senior Director of Research for BI, TDWI

Date: Wednesday, October 27, 2021

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

Amid today’s uncertainties, organizations need new data perspectives that answer critical “why” questions so they can sharpen insights and drive better decisions. Often overlooked is location intelligence—methodologies, technologies, and practices for deriving insights from geocoding and location data that answer “where” questions. Most data and analytics models have a geospatial component. Traditional sources such as physical addresses (of customers, sites, and buildings), ZIP codes, and postal codes are joined today by myriad new sources including mobile devices, wearables, GPS, embedded sensors (e.g., Internet of Things), and connected vehicles.

If organizations can relate location data and models to transaction data, events, real-time data streams, and more, they will gain complete, location-specific answers to business questions and achieve competitive advantages. Today, more companies are trying to move from legacy data warehouses and data lakes to a cloud-based, lakehouse paradigm for flexibility in more agile, self-service analytics. However, organizations often struggle to manage and process geospatial data within these environments, forcing some to continually send data between the lakehouse and a GIS platform.

Join this TDWI Webinar to learn how you can harness the power of location intelligence beyond simple data visualizations on maps to solve business-critical questions. Speakers will discuss geocoding engines and cloud data platforms such as Databricks for reaping value from the variety and volume of location data.

In this webinar, you will learn:

  • How to develop location-based solutions and take advantage of the variety of geospatial data for a business advantage
  • Using modern platform deployments for portability and cloud elasticity, including Kubernetes, Apache Spark, and Databricks
  • Enabling powerful customer analytics with geocoding plus advanced data processing and modeling
  • Best practices for self-service business users to achieve goals with location intelligence

Guest Speakers

Joe Francica
Senior Director Geospatial Strategy

Joe is recognized as an influential geospatial technologist and has been a leading advocate of location intelligence for over 35 years. During his career, he has worked in private companies, start-ups, and government organizations on the applications of geographic information to commercial business challenges. Francica founded and chaired the Location Intelligence Conference in the U.S. and Brazil and has published over 500 technical articles, blogs, and podcasts on location technology. He holds degrees from Rutgers, Dartmouth, and Southern Methodist University.

Jonathan Houde

Jonathan is responsible for technical leadership and innovation, further developing the company’s technical community and aligning its software strategy, architecture, and partner relationships to solve business challenges and deliver the best customer value. With his extensive experience across many different technologies, Jonathan and his team are able to build technology solutions for complex projects across different industries. He is known for his ability to quickly identify customer requirements and translate them into recommendations and realizations that can range from simple “out of the box” technologies and data integration to very advanced custom developed solutions.

Tim Mckenzie
Director, Cloud Computing and Location Solutions

Tim McKenzie and his team are leading our innovation efforts enabling our customers to take advantage of new cloud technologies and unlock value hidden in massive amounts of business data. With over 20 years of experience engaging with customers about technology, he has developed a proven track record delivering unique industry solutions through data quality and location intelligence capabilities in cloud-native/big data environments.

James Kobielus

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