Retail Insight — Data Transformation | Shenll Case Study

Case study — Data & analytics · Retail

Retail Insight: a data transformation for modern commerce.

From fragmented legacy reports to one governed truth: a modern analytics backbone that gives merchandising, operations, and finance the same numbers — fast enough to use in the meeting, not after it.

Domain

Retail & e-commerce

Engagement

Data platform & BI transformation

Delivery

Chennai hub, phased migration

Status

Live — reporting continuity maintained

Retail Insight case study cover: unified sales analytics bars with trend line

At a glance

1

Governed source of truth (was: many)

Sub-second

Dashboard interactions

Daily → live

Reporting freshness shift

0

Reporting downtime during migration

The context

Ten reports, ten versions of “revenue.”

The client’s reporting estate had grown organically: extracts feeding spreadsheets feeding more extracts, each department nursing its own version of the numbers. Meetings started with reconciling figures instead of deciding with them.

Shenll was engaged to transform the data estate end to end — pipelines, warehouse, semantic definitions, and the dashboards on top — while keeping the business reporting every single day of the migration.

The challenge

Fragmented truth

Sales, inventory, and finance data lived in silos with conflicting definitions and no lineage.

Batch lag

Yesterday’s numbers arriving mid-morning — too late for pricing, replenishment, and staffing calls.

Migration without blackout

Legacy reports had to keep working while their replacements were built and validated.

Trust deficit

Years of mismatched figures meant adoption would only follow demonstrated accuracy.

What we built

A governed analytics backbone, migrated without a blackout.

01

Unified data platform

Batch and change-data-capture ingestion from POS, e-commerce, ERP, and inventory systems into a governed lakehouse with medallion layering — raw history preserved, conformed marts on top.

02

Semantic layer first

One certified set of definitions — revenue, margin, sell-through — documented, versioned, and shared by every dashboard, ending the definition wars.

03

Executive & operational BI

Power BI experiences designed for adoption: sub-second interactions, mobile-ready layouts, row-level security by role and region, exceptions surfaced above averages.

04

Parallel-run validation

Every legacy report reconciled against its replacement across full business cycles before cutover — discrepancies resolved with evidence, not assurances.

05

Forecasting foundation

Demand models feeding replenishment planning, with forecasts displayed beside actuals so planners calibrate trust over time.

Architecture & stack

Microsoft FabricPower BIAzureSQLdbt-style transformationsKafka / CDCPythonPostgreSQL

The results

Decisions moved from arguing to acting.

The transformation replaced reconciliation meetings with decision meetings. One truth, current numbers, and dashboards fast enough to explore live — the pattern now anchors our retail data practice.

One version of every number

Certified semantic definitions ended cross-department figure disputes.

Freshness that changes behavior

From next-morning batch to near-live visibility on sales and stock.

Adoption, measured

Dashboards embedded in daily trade meetings — the true test any BI project must pass.

Continuity through migration

Zero reporting blackout: parallel-run reconciliation protected every business cycle.

Explore the capabilities behind this work

Data & analytics services →Microsoft Fabric →Data engineering →Retail industry solutions →

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