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Starbucks

How Starbucks saves time and empowers
store managers with smart data

From slow, centralized reporting to self-serve insights: Starbucks uses Mammoth to cut costs by 53%, boost data accuracy 5x, and empower store managers to act faster.
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Cost Reduction

53%

Decrease monthly cost
Reduction in ongoing infrastructure spend
Self Service Adoption

75%

Self-serve managers
Adoption of data tools across locations
User Empowerment

1400%

Increase in ROI
Operational ROI improvement

About

Company size

Large-sized

Headquarters

United States

Industry

Retail Chains

Use Cases

Operational reporting Data-driven management

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The Company

About Starbucks
Starbucks, one of the world’s most iconic brands, serves millions of customers daily across thousands of locations. To maintain operational excellence, Starbucks needed to ensure that store-level data could be quickly transformed into actionable insights — without overburdening their central data teams.

The Challenge

Enabling decentralized data access at scale
Starbucks faced challenges in empowering store managers to make data-driven decisions without creating heavy dependencies on central data or IT teams. Manual workflows were slow, and inconsistent reporting formats created delays and inefficiencies.

Solution

Self-service operational reporting for store managers
Mammoth helped Starbucks:
  • Enable store managers to access and customize operational dashboards
  • Reduce reliance on central data teams for everyday reporting
  • Maintain data consistency and governance at scale
  • Speed up report generation and decision-making across thousands of locations

Outcome

Results Achieved with Mammoth
  • 60% reduction in manual reporting workload
  • 5x improvement in operational data accuracy
  • 3x increase in store manager engagement with data workflows
  • Faster decision-making and improved store-level performance

The Mammoth Advantage

Why Mammoth?
  • Self-Service Power: Empower local teams without losing control.
  • Data Governance: Maintain accuracy across a decentralized network.
  • Scalability: Support thousands of workflows without scaling technical teams.
  • Speed: Deliver insights faster to where they matter most — at the store level.

"Mammoth gave our local teams the ability to generate the reports they needed, when they needed them. It has dramatically improved agility at the store level."

— Data & Insights Team, Starbucks

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