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Digital Walls Consulting

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.

Manufacturing

From 12 Excel trackers to a real-time operations dashboard

Multi-site Manufacturing Group, India

  • Unified Power BI layer built directly on S/4HANA — no intermediate extracts
  • 70% reduction in manual reporting across finance and operations
  • Live dashboards for procurement spend, inventory ageing, and production variance
  • CFO and COO dashboards live on day one of go-live
S/4HANA CDS
S/4HANA CDS
SAC

ITeS

Attrition prediction model cutting flight risk response time

Mid-size ITeS Firm, India & UAE

  • Azure ML model trained on 3 years of SuccessFactors transaction history
  • Attrition risk scores refreshed weekly — 60 days advance warning
  • HRBP intervention rate increased 3x for high-risk employees
  • Model integrated into Power BI HR dashboard — no separate tool needed
Azure ML
Power BI
SuccessFactors

Oil & Gas

Inventory optimisation on 3 years of S/4HANA transaction data

Oil & Gas Services Company, Gulf Region

  • Predictive reorder model built on MM and SD transaction history
  • Inventory carrying cost reduced through AI-driven reorder recalibration
  • Demand signals from SD integrated with MRP for forward-looking procurement
  • Azure ML pipeline refreshes forecasts weekly — zero manual intervention
Azure ML
Synapse
S/4HANA

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.

Let's Talk
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