Modernizing Retail Analytics for Faster, More Confident Decisions
A U.S. retailer ran store and ecommerce reporting on separate platforms, reconciled by hand in spreadsheets and refreshed overnight — by the time buyers trusted a number, the selling window had moved. Artic Consulting rationalized the reporting estate, unified channels into a governed Microsoft Fabric model, and replaced batch loads with incremental pipelines, giving merchandising one trusted view at decision speed.
Client Overview
Our client is a U.S. based retailer operating several hundred stores alongside a growing ecommerce channel, with merchandising, planning, and marketing teams split across regional offices.
Reporting had grown organically over two decades. Store performance came from a legacy data warehouse refreshed overnight, ecommerce metrics arrived from a separate platform, and merchandising teams maintained their own spreadsheets to reconcile the two before any decision could be made.
By the time a regional buyer had a number they trusted, the selling window had often already moved. Leadership approved a retail analytics modernization program to close the gap between what the business knew and when it could act.
Requirements
The retailer wanted one dependable view of performance across stores, channels, and categories.
Unified Commerce Reporting
Bring store, ecommerce, and marketplace performance into a single unified commerce reporting model.
Timely Decision Support
Replace overnight batch reporting with refresh cadences that support in-season merchandising decisions.
Reduced Reporting Debt
Retire duplicated extracts, orphaned reports, and manually maintained reconciliation files as part of a structured report rationalization effort.
Measurable Business Value
Track whether analytics investments translated into faster decisions and improved category outcomes.
Challenges:
Reporting technically worked. What it could not do was keep pace with how merchandising and marketing decisions were being made.
Conflicting Versions of the Truth
Store systems, ecommerce platforms, and finance each calculated units, returns, and margin slightly differently, so meetings frequently opened with a debate about whose figure was correct.
Overnight Latency
Batch processing meant promotional performance and inventory movement were only visible the following day, limiting the ability to react within a selling window.
Fragile Spreadsheet Dependencies
Critical category reviews depended on workbooks maintained by individual analysts, leaving merchandising analytics exposed whenever those people were unavailable.
Unclear Analytics Value
Reporting consumed significant engineering effort, but leadership had no view of which reports were actually being used or influencing decisions.
Growth Constraints
Decisions Outrunning the Data
Merchandising moved in hours while overnight batch reporting moved in nights, forcing teams to rely on instinct and manual reconciliation.
Our solution
Artic Consulting rebuilt the analytics foundation around a single governed model rather than layering new dashboards over existing fragmentation.
Reporting Estate Rationalization
Catalogued every active report and extract, identified what was genuinely used, and retired duplicated and abandoned assets before any retail data platform migration began.
Unified Retail Data Model
Consolidated store, ecommerce, inventory, and returns data into Microsoft Fabric, establishing agreed definitions for units, margin, returns, and net sales across every channel.
Near Real-Time Ingestion
Replaced overnight batch loads with incremental pipelines through Azure Data Factory, giving merchandising visibility of trading performance during the day rather than after it.
Certified Power BI Semantic Model
Built a governed Power BI semantic model so category, regional, and finance teams analyzed from the same definitions instead of rebuilding logic in isolated workbooks.
Self-Service Analytics Enablement
Equipped merchandising and marketing analysts to build their own views on top of certified models, reducing dependence on central engineering for routine requests.
Usage and Value Tracking
Introduced monitoring of report adoption and decision cadence so leadership could see which analytics assets earned their maintenance cost.
We didn’t have a dashboard shortage. We had a trust problem. Artic got us to one set of numbers our buyers actually believe, and got them there while the decision still mattered.
VP, Merchandising Analytics
Organizational benefits
One Agreed Set of Numbers
Category reviews began with analysis rather than reconciliation, since channel definitions no longer conflicted.
In-Season Responsiveness
Teams could evaluate promotional performance and inventory movement while there was still time to act on it.
Lower Reporting Maintenance
Retiring duplicated extracts and unused reports reduced the ongoing engineering load on the data team.
Reduced Key-Person Risk
Critical category analysis moved out of individually maintained spreadsheets into governed, supported models, reducing spreadsheet dependency across merchandising analytics.
Faster Analyst Turnaround
Self-service access on certified data shortened the wait for routine reporting requests.
Visible Analytics Value
Leadership gained insight into which reports were used, by whom, and to support which decisions.
Conclusion
The retailer’s difficulty was never a lack of data. It was the absence of a shared, timely, and trusted version of it.
By rationalizing the reporting estate before migrating it, completing the legacy data warehouse modernization into a governed Microsoft Fabric model, and shortening the distance between event and insight, Artic Consulting helped the organization move from reconciling numbers to acting on them.
Analytics now supports merchandising decisions at the speed the business makes them, with a foundation the team can extend as new channels and categories are added.
Make Analytics Match Your Decision Speed
Consolidate fragmented reporting, establish definitions your teams trust, and shorten the gap between what happened and when you can act on it.
