AI & Automation

AI is only as good as the data behind it.

We assess, clean and connect the data in SAP and your other systems, and build the platforms and dashboards that make it useful for AI and decision-making.

Starts with: A data readiness review for your priority AI use cases

Overview

Fix the foundation once, benefit everywhere.

Poor master data, duplicate records and disconnected systems undermine both AI and reporting. Investing in data quality and a modern data platform pays back across every analytics and AI initiative that follows.

We build on what you have, whether that is SAP BW, SAP Datasphere, SAP Analytics Cloud, Microsoft Fabric, Power BI, Snowflake or a cloud data lake, and focus on the data your priority use cases actually need.

Data readiness reviews tied to specific AI use cases
Master data quality and governance
Modern data platforms and pipelines
Dashboards leaders trust

Business outcomes

What you can expect

Trusted numbers

One set of definitions across reports.

AI-ready data

Use cases get the clean, accessible data they need.

Faster insight

Self-service analytics instead of manual spreadsheets.

Lower risk

Clear ownership and access control for sensitive data.

Quality

Testing and data conversion on the critical path.

We invest more effort than most firms in testing and data conversion, because that is where projects succeed or fail.

What we deliver

Data and analytics services

Practical work on the data that matters most to your goals.

Data readiness assessment

Measure the quality, completeness and accessibility of the data each use case needs.

Master data management

Clean and govern customer, vendor, material and employee data.

Data platform and pipelines

Connect SAP and other sources to a governed platform for analytics and AI.

BI and dashboards

Executive and operational reporting with clear definitions.

Data governance

Ownership, definitions, quality rules and access policies.

Analytics enablement

Training and self-service so teams can answer their own questions.

Approach

How the engagement runs

A structured method with clear milestones, so risk is visible early and decisions are made with facts.

Profile
Measure the data that priority use cases depend on.
Prioritise
Agree the fixes and platform changes that unlock the most value.
Build
Clean data, build pipelines and create trusted data products.
Govern
Put ownership, quality monitoring and access controls in place.

FAQ

Frequently asked questions

Do we need a data lake before starting AI?

Not always. Many first use cases work with targeted data from SAP and a few sources. We size the platform to the use cases you actually plan.

Can you work with our existing BI tools?

Yes. We work with SAP BW, SAP Datasphere, SAP Analytics Cloud, Power BI and other common platforms.

How do you measure data quality?

We profile completeness, accuracy, consistency and timeliness against rules agreed with data owners, and track them on a dashboard.

Keep exploring

Related services and insights

AI Strategy & Governance

A prioritised AI roadmap, business case and governance your board can approve.

Learn more

AI Readiness Assessment

Two weeks, fixed scope: ranked use cases, data and risk check, and a pilot plan.