Aiger Data

Systems of Record

Start with the systems where operations already live.

SAP, ERP, POS, CRM, APIs, and operational applications remain connected to the work.

Enterprise Digital Twin

Resolve fragmented signals into shared enterprise context.

Customers, products, stores, orders, inventory, suppliers, people, assets, and processes become one operational model.

Intelligence

Turn context into signals that matter.

KPIs, events, anomalies, forecasts, and recommendations create a current view of what needs attention.

Agents

Coordinate decisions across operating domains.

Bounded agents support operations, finance, procurement, sales, store management, and service.

Actions

Carry decisions back into the flow of work.

Transactions, workflows, messages, mobile applications, APIs, and operational systems close the loop.

Four paths. One operating layer.

Enter through an industry workflow, autonomous operations, governed SAP data, or evidence-led modernization.

  1. Industry BTP Solutions

    Reusable SAP BTP capabilities shaped around industry operations, clean-core extensibility, and measurable process improvement.

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  2. Autonomous Enterprise

    A connected operating layer that turns enterprise context and intelligence into governed action.

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  3. SAP x Databricks

    Governed SAP data made useful for analytics, data products, and AI in Databricks.

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  4. BW Modernization

    Evidence-led modernization that determines what moves to BDC, what moves to Databricks, what retires, and what remains temporarily.

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Selected work

A connected operating layer for a multi-location consumer business

The work scope covered applications, a digital twin, analytics, agents, workflows, a cloud environment, and LLM capabilities.

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Work scope

  • applications
  • digital twin
  • analytics
  • agents
  • workflows
  • cloud environment
  • LLM capabilities

Operating environments shape the path.

Seven industry contexts give each proposition a different operational starting point.

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