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Securing Customer And Payment Data Across An Omnichannel Retail Estate

  • Cloud Security
  • Data Protection
  • Compliance Assurance

A Large Omnichannel Retail Chain Operating Stores And Digital Channels Nationwide.

The Chain Sells Through Physical Stores, Its Own Application And Marketplace Channels, With Loyalty Programmes Linking Customer Activity Across All Of Them. Payment Processing, Customer Records And Store Systems All Connect To Cloud Hosted Platforms That Grew Alongside The Retail Footprint Itself.

Company Profile

  • 620+ Stores Nationwide
  • 24M+ Loyalty Members

Problem Statement

Customer Data Spread Across Systems Nobody Had Mapped.

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CHALLENGES FACED

As Digital Channels And Loyalty Programmes Expanded Alongside The Store Network, The Chain Encountered Several Challenges: With Customer And Payment Data Flowing Between Many Systems And Partners, Nobody Held A Complete Map Of Where It Went.

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Mapping Customer Data

No Record Existed Of Which Systems Held Customer Records Or Why.

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Controlling Partner Access

Marketplace And Logistics Partners Held Integrations Granted Years Earlier.

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Meeting Compliance Obligations

Payment And Data Protection Requirements Were Addressed Separately By Different Teams.

Existing System : Data Flowing Between Systems Added Over Years

Customer, Loyalty And Payment Data Moved Between Store Systems, Cloud Platforms, Analytics Tools And Partner Integrations Added As Each Channel Launched. Access Granted For A Specific Project Frequently Remained Long After The Project Ended, And No Single Team Held A View Of The Whole Data Landscape.

Result :

A Data Estate The Business Understands.

caseStudyResult

Customer And Payment Data Flows Are Now Mapped, Classified And Governed By Documented Retention And Access Rules. Partner Integrations Carry Defined Scopes And Review Dates Rather Than Persisting Indefinitely, And Payment And Data Protection Obligations Are Addressed Through One Control Set Instead Of Separate Efforts By Different Teams.

100%

Data Flows Mapped

74%

Partner Access Reduced

02

Frameworks, One Control Set

96%

Findings Remediated

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Discovery Established Where Customer And Payment Data Actually Resides Before Any Control Was Designed. Data Was Then Classified By Sensitivity, Access Rebuilt Against Documented Business Need, And Payment And Privacy Requirements Consolidated Into One Control Set Owned By A Single Accountable Team.

Our Approach: Map The Data, Then Govern The Access

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IMPACT & RESULTS

A Complete Data Map
Partner Access Under Control
One Control Set, Two Obligations
Faster Audit Cycles
Reduced Breach Exposure
Confidence In New Channels

A Complete Data Map

The Chain Now Knows Which Systems Hold Customer And Payment Data, How It Arrives And Where It Goes Next. Requests About Data Location, Whether From Regulators Or Customers, Are Answered From Records Rather Than Investigation.

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TECHNOLOGIES - TOOLS USED

Data Discovery And Classification Tooling Maps Customer And Payment Data Across Cloud Platforms And Store Systems. Posture Management, Identity Governance And Encryption Controls Apply Above It, While Evidence Automation And Compliance Mapping Report Control Operation Against Both Payment And Data Protection Obligations.

  • Data Discovery & Classification
  • Cloud Security Posture Management
  • Identity & Access Governance
  • Partner Access Reviews
  • Encryption & Key Management
  • Tokenisation
  • Data Retention Controls
  • Audit Evidence Automation
  • Compliance Framework Mapping
  • Vulnerability Management
  • Security Dashboards
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