How At Home went from playing defense to 137% growth in data adoption.

A national retailer ready to play offense, with only 15% of the business able to reach its data.

• A national retailer ready to play offense: At Home operates hundreds of stores nationwide with over 45,000 products. After emerging from a restructuring period, leadership committed to building a data-driven culture where business users could explore data independently.
• Only 15% of the business could access data: The vast majority of decision-makers relied on analysts to pull reports. Power BI dashboards existed but were built for technical users. Most of the business operated without data.
• The CCO set the bar: Aaron Rose, Chief Commercial Officer, was clear about the stakes. The company needed to move from understanding what happened to focusing on the right action. Playing offense required knowing what was going on.

Reports that answered yesterday’s questions, and questions nobody bothered to ask.

• Reports answered yesterday’s questions. Compiling weekly business reviews meant pulling from multiple sources, formatting in spreadsheets, and distributing static reports that were outdated by the time they arrived.
• Power BI served analysts, not the business. Dashboards were complex, required training, and only covered pre-defined views. When a store manager needed a quick answer, they filed a ticket and waited.
• Questions went unasked because it was too hard. John Carcasi, SVP of Planning and Analytics, described colleagues who had dozens of questions every week but never asked them because they did not want to burden the data team.
• Trust in the numbers had eroded. Years of platform changes left stakeholders unsure which figures to believe. Every new tool had to prove it could match the source of truth before anyone would adopt it.

From a 5-person pilot to nearly 60 users in five months.

• Usage surged 137% in a single month: At Home expanded Zenlytic from a 5-person pilot to nearly 60 users in five months, while maintaining 86% active usage across its provisioned user base. The team was finally asking the questions they had been holding back.
• Near-perfect accuracy earned trust immediately: Data reconciliation showed just 0.27% variance. When the system flagged a discrepancy, it turned out to be a data issue on At Home’s side, not the tool’s. That moment changed everything.
• The SVP tested it himself before rolling out: John Carcasi went in, asked questions, and checked the numbers against his own reports before telling his team it was doing exactly what it promised. Then he opened the rollout to 12+ colleagues.
• Insights no analyst could calculate: Zoë calculated At Home’s price elasticity at 2.67. John’s reaction: I don’t have a way to calculate it. My guess, her math’s probably better than ours. A new class of analysis was suddenly possible.

Every provisioned user active, and 45,000 products a question away.

• 100% activation: Every provisioned At Home user is active on the platform, not simply licensed. Adoption is real usage, not seats on a contract.
• 12x active user growth month over month: Adoption spread by word of mouth as teams watched colleagues get answers in seconds instead of filing tickets.
• 137% usage growth in one month: Message volume grew 2.4x as the business shifted from requesting reports to asking its own questions directly.
• 45,000+ products searchable across every store: Merchants, planners, and store leaders now interrogate product performance on their own, with no analyst wait and no dashboard request.