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Case Study · Data & AI · Omnichannel Retail

When Enterprise Data Needs to Do More Than Reporting

See how ICS Compute built a governed data foundation that extends existing enterprise information into analytics, forecasting, and AI-assisted exploration.

Industry
Omnichannel Retail
Business Area
Enterprise Analytics & Financial Forecasting
Focus
Data Foundation · Forecasting · AI
The Challenge

Reporting Was Only the Starting Point

The company already held important financial and operational information in its enterprise data environment. New requirements went beyond predefined reporting: analytics, forecasting, and AI-assisted exploration need data that can be processed, governed, and reused across workloads.

Starting point

Existing Enterprise Data

  • Financial Information
  • Operational Information
Foundation

Governed Data Foundation

  • Repeatable Processing
  • Access Control
  • User Permissions
  • Governance
Consumption

Multiple Ways to Use the Data

  • Analytics
  • Forecasting
  • AI-Assisted Exploration
  • Automated Data Workflows

Every workload reads the same governed foundation: one environment, one set of controls.

Implementation

One Foundation. Multiple Analytical Workloads.

  1. 01

    Reusable Data Foundation

    Enterprise financial and operational information moves through repeatable ingestion and processing into governed analytical data.

  2. 02

    Analytics

    Prepared analytical data supports dashboards and analytical views without requiring a separate data foundation for each use case.

  3. 03

    Forecasting

    Historical business data is prepared for machine-learning forecasting and combined with relevant calendar and seasonal context.

    + Calendar & seasonal context
    • Public-holiday patterns
    • Working-day patterns
    • Major seasonal periods
  4. 04

    AI-Assisted Exploration

    Governed analytical information can be explored through an AI-assisted interface while remaining within enterprise identity and access-control practices.

Outcomes

  • Shared Data Foundation

    Existing information supports multiple workloads

  • Repeatable Data Workflows

    Structured ingestion and processing

  • Forecasting Capability

    ML workflow with defined model evaluation

  • Governed Analytics & AI

    Within enterprise access and governance

  • Foundation for Future Data & AI

    Extendable as new use cases emerge

Full Case Study

See How the Data Foundation Works in Practice

Explore the architecture, data workflows, forecasting approach, AI-assisted exploration, governance model, and lessons behind the implementation.

Inside the full case study
  1. 01Data Architecture
  2. 02Data Engineering
  3. 03Analytics
  4. 04Forecasting
  5. 05AI-Assisted Exploration
  6. 06Governance
Cover of the ICS Compute case study: When Enterprise Data Needs to Do More Than Reporting