Turning Data into Customer Engagement

Competing With Data & Analytics Runtime 57:22

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Competing With Data & Analytics

How does data inform business processes, offerings, and engagement with customers? This research looks at trends in the use of analytics, the evolution of analytics strategy, optimal team composition, and new opportunities for data-driven innovation.
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In this webinar, Teddy Bekele of WinField United and the authors of “Using Analytics to Improve Customer Engagement” discuss how analytical innovators are gathering and sharing data to build loyalty and keep customers.

MIT Sloan Management Review’s recent global study, “Using Analytics to Improve Customer Engagement,” found that analytically mature companies are twice as likely to report strong customer engagement as the least analytically mature organizations. Analytical innovators who use the insights they glean to tailor offerings that improve customer satisfaction are realizing a return on their data and analytics investment.

Join the authors of the report and special guest Teddy Bekele of WinField United as they discuss the findings from the research, and share how WinField United has strengthened its bonds with its agriculture customers by sharing data and analytics that help them improve yield and efficiency. The speakers will show how analytical innovators are gathering and sharing data to build loyalty and keep customers.

In this webinar, you’ll learn:

  • Benchmarks for how companies are benefitting from data and analytics across a continuum of maturity.
  • How WinField helps farm operators analyze millions of data points from multiple sources, and as a result cements farmer relationships.
  • Some of the enduring challenges still facing companies adopting data and analytics practices.
  • Why using data from a multitude of sources — customers, vendors, regulators, and competitors — is so important.

Topics

Competing With Data & Analytics

How does data inform business processes, offerings, and engagement with customers? This research looks at trends in the use of analytics, the evolution of analytics strategy, optimal team composition, and new opportunities for data-driven innovation.
More in this series

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