Why the retail industry needs a data-driven approach and how you can stay ahead of the curve

September 26, 2024

Why the retail industry needs a data-driven approach and how you can stay ahead of the curve

The retail industry is grappling with diminished sales due to e-commerce trends, leading to an excess of available retail space and a critical need for precise understanding of the competitive landscape. At Telekom Data Intelligence Hub, we harness crucial metrics extracted from mobile signal data to address these challenges. These metrics provide a foundation for strategic optimization and comprehensive competitor analysis.  

Join Tino Bliesener, offering manager and squad lead of data products and Motion Data, and Tobias Kleyböcker, senior data scientist for Motion Data, as they guide you through Motion Data's Retail Analytics. Discover how to uncover long and short-term trends, strengthen tenant relationships through informed anchor tenant negotiations, enhance asset value, and empower marketing strategies with data-backed competitive insights.

Start leveraging customer data! Find out with us:

  • How Motion Data utilizes mobile phone data from Deutsche Telekom, the largest network provider in Europe, to extract key metrics for strategic optimization and competitor analysis 
  • How Retail Analytics offers data insights across shopping centers, pedestrian zones or outlets to understand customer preferences, devising store expansion plans, conducting competitor analysis, and enhancing overall operational efficiency
  • Exploring real-world use cases of Retail Analytics 

Join us on September 26, from 9:30 to 10:15 CEST. The webinar will be conducted in German. 

Register now to unlock the full potential of Retail Analytics and learn how to better understand and serve your customers. 

Agenda

09:30 - 09:35 | Welcome & Introduction 

  • Welcome and Agenda, Tino Bliesener and Tobias Kleyböcker 

09:35 - 10:10 | Deep Dive into Motion Data and Retail Analytics

  • Introducing Motion Data
  • Understanding the power of Retail Analytics
  • Exploring real-world use cases  

10:10- 10:15 | Q&A and Wrap-up

  • Q&A Session
  • Closing 

Thursday, September 26, 2024 at 11:30 GMT+2 - 10:15 GMT+2

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