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How Specsavers Upskilled Their Data Teams

Thursday July 20, 11am ET

Key Takeaways

  • Learn how Specsavers set up a data training program for hundreds of analysts
  • Learn about the data roles in retail, and what skills those employees need.
  • Learn how your business can benefit from data training.

Your Presenter(s)

Jess Baldwin headshot

Jess Baldwin

Data Visualization Analyst at Specsavers

As a data visualization analyst, Jess specializes in creating dashboards and communicating data across the company. Jess is also a graduate of Specsavers' Zero to Hero data training program.

Benji Taylor headshot

Benji Taylor

Data Enablement Lead at Specsavers

Data Enablement Lead with over 10 years of experience in the world of data and analytics. I am passionate about helping businesses unlock the value of their data and have experience working with cross-functional teams to drive data initiatives. My expertise includes data governance, data quality management, data architecture, and analytics.

Michael West headshot

Michael West

Data Visualization Analyst at Specsavers

As a data visualization analyst, Michael specializes in creating dashboards and communicating data across the company. Michael is also a graduate of Specsavers' Zero to Hero data training program.

Why this matters

Specsavers, a leading provider of optometry, audiology, and other healthcare services, faced critical challenges in its data analytics processes. Heavy reliance on manual Excel work and significant skill gaps in Power BI and Databricks hindered employee efficiency and prevented them from fully leveraging data-driven decision-making at scale.

As a result, Specsavers implemented an extensive data training program with DataCamp for Business for hundreds of data analysts and data scientists across their retail business. In this session, you'll discover how they approached the task of upskilling at scale and how their business has benefitted from the program. You'll hear both the learning and development perspective and the learner perspective.

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