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This is a profile from the 2022 version of the DataIQ 100.

The latest list is available here.

Louis DiCesari, global head of data, analytics and AI, Levi Strauss & Co

What has been your path to power?

 

I joke that my path to power started with being the annoying child always asking “why?”. Many people get into analytics through tech and engineering backgrounds, but I came into the field through the consumer behaviour path. I’ve always been fascinated by why people make the decisions they do and what brands can do to influence those decisions, making life better in the process.

 

As my career grew, I started to realise that “how” is just important as “why”. Working for big companies – Prudential Financial, Vodafone, and now Levi’s - I’ve had to figure out ways to operationalise change at scale. Whether it’s recommending the right alternative when a life insurance policy is coming to an end, crafting the right retention offer for a customer who is leaving for another telecommunications provider, or figuring out which inventory to ship to what store in what quantities, the analytics are only as good as the organisation’s ability to implement and act on them.

 

I’m proud to have led teams that have driven lasting change: injecting behavioural economics to actuarial projections; freeing up tens of millions of dollars per year in capital reserves; optimizing retention offers to profitably retain millions of customers worth billions of Euros during some of the most serious competitive threats in telco; and now helping an iconic brand come out of the pandemic a stronger company with profitable price increases, less discounting, a stronger assortment, and more advanced eCommerce capabilities, including AI-based recommendations and visual search. We’ve been successful because we’ve stayed close to the business problems, nimble in approach, and relentless in focus.

What impact has the pandemic had on the role of data in your company/organisation?

 

During the initial days of the pandemic, we operated in a war-room setting, with daily updates to the top leadership of the company. Our focus was first and foremost on keeping our customers and associates safe, and second on figuring out how to operate in an environment of store closures and social distancing. Each day was a new adventure in predicting how to meet our customers’ needs while adapting to constantly changing operations.

 

We had to embrace a “minimum viable product” mindset and quickly stand up new analytical models for demand, pricing, promotion, assortment and operations. As the world has returned to semi-normal, the pods we established during the pandemic are still intact. We’re iterating on and scaling the products we built during the pandemic, adding new capabilities to delight our customers while driving profitability.

 

Does data now have a seat at the table during strategic discussions? If not, what will it take to get it there?

 

Absolutely. Our data and analytics roadmap aligns to the company’s strategic priorities, and each company priority has a workstream on data and analytics. I’ve been lucky to work with leaders who champion the use of data and analytics and who have proactively created seats at the table. It’s our responsibility as an analytics community to keep the seat at a table by bringing not only data or information, but solutions that create value with a clear path to implementation.

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