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SAP
Data & Analytics
What We Do
Data Intelligence
& Analytics
You cannot run AI on untrusted data. Before the models come the foundations — clean, governed, connected data your ERP, HCM, and CRM systems already produce. We build that foundation first, so the AI layer on top of it actually earns your trust.
"A dashboard built on untrusted data is not insight — it is confident misinformation. Every AI recommendation is only as good as the data underneath it."
70%
Reporting effort cut, not just reporting speed
50+
Governed views, no reconciliation required
Real
Dashboards live from day one, not month three
60
Days of warning before the risk becomes real
Capabilities
From raw data to decisions your business can act on
We cover the full data stack — engineering, governance, visualisation, and predictive analytics — built on your existing SAP and Microsoft infrastructure.
Data Engineering & Lakehouse
Fabric and SAP Datasphere pipelines that ingest, transform, and govern data from SAP, SuccessFactors, Dynamics, and third-party sources into one unified, governed platform
Executive & Operational Dashboards
Power BI dashboards designed for CFOs, CHROs, and COOs — finance, workforce, supply chain, and operations in a single pane, with drill-through to transaction level.
Data Governance & Quality
Master data management, data quality rules, and lineage tracking — so you know where every number comes from and can trust what your dashboards show.
Predictive Analytics
ML models built on your ERP and HCM data — demand forecasting, attrition prediction, inventory optimisation, and revenue projection with weekly automated refresh.
Self-service Analytics
Power BI semantic models and certified datasets that let your finance and HR teams answer their own questions — without raising a ticket to IT every time they need a new cut of data.
SAP Embedded Analytics
CDS views, KPI tiles, and SAP Analytics Cloud reports built directly on S/4HANA — no intermediate extracts, no data latency, no reconciliation between ERP and reporting.
Case Studies
Delivered. Not just proposed.
Data outcomes across manufacturing, ITeS, and retail — all built on existing SAP and Microsoft infrastructure.
Testimonials
Client Testimonials
We had been told by three previous consultants that our SAP data was too messy to build reliable dashboards on. DWC spent two weeks doing a data quality assessment, fixed the root cause issues in the source system, and had us live on Power BI in six weeks. The data quality conversation was the most valuable part of the engagement.
Head Of Strategy
Manufacturing Group · Power BI on S/4HANA
The attrition model genuinely changed how we manage people. Before we were always reacting. Now we see the signal 60 days before someone resigns and our HRBPs can have a conversation while there is still time to act. The ROI on this engagement was visible within the first quarter.
CIO
ITeS Firm · Attrition Analytics
Our finance team was spending 3 days a month producing the management pack. After DWC built the BI layer on top of our SAP data, that dropped to under an hour. More importantly, everyone is now looking at the same numbers — the arguments in the board meeting about whose spreadsheet is right have stopped completely.
Finance Director
O&G Services · SAP Embedded Analytics
Start with a data readiness assessment.
We will tell you honestly whether your data
foundation is ready for the analytics and AI programmes your business
is planning.