How real roles put MyDataWork to work.
Short, honest stories of the people who organize the work behind their data — what drove them to start, the first problem they solved, and where they're taking it.
A supply chain analytics lead organized the analytical work behind S&OP across its assets and lineage, and walked into the next cycle able to prove exactly what fed the plan. Bought a Team plan on his own budget, no IT project required.
A CPG demand-sensing analyst started a free trial solo to tame her sprawling model estate, became the person who could always show what drove a forecast, and got her manager to standardize the whole team.
A fashion retailer's commercial analytics lead made pricing and markdown decisions auditable in the flow of the team's existing tools, so the Commercial Director, who never logs in, championed IT to fund the platform.
Brett, an assortment planning analyst, made his recommendations traceable and framed them as use cases. Merchants he supports -- who never use the tool -- noticed the sharper reviews and asked how. Their pull turned his free trial into a paid seat.
An FP&A analyst started a free trial to survive one painful close. By the next variance review she could trace every number to its source, model, and owner, then expensed a plan and brought her team along.
A director of FP&A turned her team's scattered know-how into a defensible, board-ready portfolio, bought fast with CFO sponsorship, so board prep stopped being a fire drill and forecast knowledge stopped walking out the door.
A mid-market distributor's CDO standardized on the analyst workspace her teams had already adopted, giving leadership a governed rollup of work, value and risk.
Different roles, different ways in
Sometimes the person who uses MyDataWork is the person who buys it. Just as often, the people who benefit most — a merchandising director, a CFO, a plant leader — never log in at all. These stories show both.
Self-serve, bottom-up
An analyst starts the free 90-day Explorer trial alone, gets their own work under control, proves the value, and expenses a plan. No approval needed to begin. (See Camille, Nina.)
Business-led team purchase
A team leader trials it, then buys a Team plan on their own cost-center budget — no long IT project. IT is looped in later for a security review. (See Arjun, Maya.)
Influencer-championed, IT-funded
A senior business influencer who never uses the tool sees how defensible the team's work became, and champions it to the IT budget holder who approves the spend. (See Jonas.)
Supporting a different function
The user sits in a central or dotted-line role; the influencers they support benefit from sharper, more credible outputs and their pull drives the purchase. (See Brett.)
Executive-sponsored
An executive is both champion and budget holder, so the purchase is fast and business-owned — no separate IT gatekeeper. (See Maya.)
Org-wide standardization
A data leader standardizes across functions, co-funded with IT, turning bottom-up adoption into a governed, AI-ready foundation for the whole company. (See Renata.)
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