Analytics & Digital Transformation

Decision-ready analytics across SAP and non-SAP data.

We help organizations unify their data, build trusted analytics and lead transformation programs that connect technology, process and people.

Analytics

Trusted insight from a unified foundation.

Enterprise data is rarely in one place. Financial and operational data often sits in SAP, while customer, workforce and market data lives on other platforms. Leaders need one consistent view.

Intlex designs analytics strategies and architectures that bring these sources together under shared definitions and governance, so reporting is consistent and AI initiatives have reliable data to work with.

SAP-to-Non-SAP Analytics

Unlocking SAP data for the wider enterprise.

We extract, model and govern SAP data so it can be combined with non-SAP sources in modern analytics and AI platforms, without compromising consistency or control.

Sources

SAP and non-SAP data

  • SAP S/4HANA, ECC and BW
  • CRM and customer platforms
  • HR, service and operational systems
  • External and market data
Governed integration

Shared definitions, data quality, security and lineage across every source.

  • Integrate
  • Model
  • Govern
Outcomes

Decision-ready insight

  • Executive and operational dashboards
  • Self-service business intelligence
  • AI and advanced analytics on combined data
  • Consistent enterprise KPIs

Data integration

Integration patterns that move SAP data reliably into enterprise data platforms.

Unified data models

Business-aligned models with shared definitions across SAP and non-SAP sources.

Data governance

Ownership, quality, security and lineage that make analytics trustworthy.

Digital Transformation

Modernization that connects technology, process and people.

Transformation succeeds when architecture, process and organizational change are designed together.

  • Technology modernizationRoadmaps for modernizing legacy applications, platforms and integrations.
  • Process transformationRedesigning end-to-end processes to capture automation, analytics and AI value.
  • Enterprise architectureTarget-state architecture, transition planning and architecture governance.
  • Transformation strategyProgram definition, governance, value tracking and executive reporting.

Approach

How we deliver.

  1. Assess

    Understand business priorities, current architecture, data readiness and organizational capacity for change.

  2. Strategize

    Define a prioritized roadmap of use cases and investments with clear value, ownership and sequencing.

  3. Design

    Shape target architecture, solution approach, integration patterns and the operating model to support them.

  4. Govern

    Establish policies, controls, risk management and accountability so adoption remains responsible and sustainable.

  5. Transform

    Guide implementation, measure outcomes and scale what works across functions and regions.

Next steps

Turn enterprise data into decisions.

Talk with our team about unifying SAP and non-SAP data and the transformation programs that put it to work.