Built for the industries that run on data.
We bring the same Microsoft-native rigor to every sector, tuned to the metrics, regulations, and realities of your business.
Retail
Omnichannel retail runs on three versions of the truth, with sales, inventory, and margin living in separate systems for stores and e-commerce. We consolidate them on a governed model so buyers and finance read the same numbers.
- Sales and margin by store, channel, and category
- Inventory and stock cover across locations
- Basket, promotion, and price performance
Financial Services
Regulated finance teams need one definition per KPI and an audit trail that holds up. We build governed portfolio, risk, and reconciliation reporting so the numbers agree and every figure is traceable.
- Portfolio and delinquency by cohort and aging
- Predictive risk scores and collections ladder
- Reconciliation and management reporting
Manufacturing
Machine data and financials live apart, so OEE and cost per line arrive too late to act on. We cross MES and ERP on a governed model and put OEE, loss, and cost in front of the shop floor and finance at once.
- OEE, availability, performance, and quality by line
- Loss and downtime by cause, shift, and plant
- Cost per line and product
Logistics and transport
When tracking, freight, and orders live in separate systems, no one can tell which carriers and regions are hurting service and cost. We consolidate them so distribution decisions run on service level and cost, not anecdotes.
- OTIF and on-time performance by carrier and lane
- Freight cost by carrier, region, and route
- Service level against cost
Healthcare
Clinical and billing data sit apart, so denials go unexplained and length of stay is invisible until it is too late. We bring them onto one governed model, built with HIPAA in mind.
- Claim denials by payer and reason
- Length of stay by unit and specialty
- Capacity and occupancy
Education
Enrollment and dropout show up only after the term closes, too late to intervene, with data spread across academic and financial systems. We build a governed model that surfaces risk early.
- Enrollment and retention by campus, program, and term
- Dropout risk signals ahead of the term
- Academic results and outcomes
Supply chain
S&OP that runs on disconnected spreadsheets means forecast accuracy is unknown and every function brings a different number. We build a governed planning model so the cycle argues from one shared view.
- Demand and supply by product family and horizon
- Forecast accuracy measured, not assumed
- Inventory and service-level trade-offs
Outcomes we have delivered on Microsoft.
Nightly reporting moved from a legacy warehouse to Microsoft Fabric, with a governed semantic layer for the exec team.
Six Microsoft tenants merged into one, with Power BI workspaces, gateways, and Power Platform apps moved with lineage intact.
Three overlapping BI and warehouse tools retired in favor of a single Synapse and Azure SQL foundation.
Manual spreadsheet consolidation replaced with automated Fabric pipelines and a governed finance model.
A workspace strategy and Purview lineage brought scattered reports under one trusted, secured framework.
Illustrative outcomes shown as placeholders. Real, cleared client results replace them as they are approved.
Want results like these in your industry?
Book a discovery call and we will share the approach that fits your sector, your data, and your Microsoft footprint.