Case Study: How WGSN (Ascential) Built & Launched the Data Acceleration Program

May 4, 8AM PT / 11AM ET / 3PM BT

Customer-centric organizations realize that they can provide more value to clients if they can leverage data insights and make better decisions. But their employees need to be upskilled to do that. The widespread “fear of data” often results in a high volume of low-value requests to central data teams, consuming their valuable time that could be spent more strategically on billable opportunities.

That’s why the leading trend forecaster WGSN by Ascential built and launched a Data Acceleration program to upskill their employees with the skills they need to gain confidence with data tasks, increase productivity, and generate more revenue. How?

Join us on May 4 to learn from Ryan Keane, VP Data Science at WGSN (Ascential), how they are leveraging professional apprenticeships:

  • Understand what the “professional apprenticeship” means and the value it adds to the business and individuals
  • Elevate understanding of data and establish “data ambassadors”
  • Increase revenue and drive efficiencies with business-wide data literacy

Speakers

rachelle headshot

Rachelle Rhinehart-Thompson, Strategic Account Director and Data Acceleration Program participant at WGSN (Ascential)

With over 15 years of industry experience, Rachelle is a senior member of the WGSN commercial team. Rachelle is a connector and collaborator who nurtures meaningful partnerships with Fortune 500 retailers in the Fashion and Interior space.

Justin Haugbro, Client Services Admin, North America and Data Acceleration Program participant at WGSN (Ascential)

Justin works across a number of internal backend and external client-based projects to ensure consistency and a positive experience. He began his career with WGSN in August 2021 and started the Multiverse course in February 2022. Justin graduated from FIT (Fashion Institute of Technology) in 2020, with a degree in Fashion Business Management and a focus in Product Development.

 

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