/>
Home/ Portfolio/ Data Pipeline for Executive Analytics
Cloud & Data · Retail

Data Pipeline for Executive Analytics

Automated data pipelines, normalization logic, and dashboards with AI-generated business commentary.

CLOUD & DATA
Daily
KPI refresh (was weekly)
85%
less analyst time on the pack
1
agreed source of truth per KPI
The challenge

What the client was facing

A retail group's executive team got their weekly KPI pack from a manual spreadsheet exercise — slow, inconsistent, and always one week behind reality.

What we built

The solution

  • Automated ingestion from POS, inventory, e-commerce, and finance systems
  • Normalisation layer with single source-of-truth definitions per KPI
  • Self-service executive dashboards with drill-down to raw data
  • AI-generated weekly commentary highlighting movers, anomalies, and trends
In production

What it looks like

Illustrative screens — actual client UI, branding, and data redacted under NDA.

Data Pipeline for Executive AnalyticsOverview82%Accuracy3.2kItems12Today4.7ScoreTrend
Data Pipeline for Executive Analytics — analytics 1 2 3 4 5 6 7 8class ClaimsExtractor: def __init__(self, llm, schema): self.llm = llm self.schema = schema def extract(self, document): prompt = self.build_prompt(document) raw = self.llm.complete(prompt) return self.schema.validate(raw)AI suggestion ▸
AI-first delivery angle

Why AI-first mattered here

AI writes the commentary; the numbers are deterministic. Every AI-generated insight links to the underlying data so the exec team can verify in one click.

Technologies

Stack

BigQuery dbt Airflow Looker OpenAI GCP

Have a similar problem to solve?

Book a free 30-minute call with a senior engineer. We’ll tell you honestly whether AI-first delivery is the right fit — and what a realistic engagement would look like.

Book a Consultation See related service
Keep exploring

Other case studies

← Previous case

Fintech Risk Monitoring Dashboard

 Next case →

AI-First Product Team Extension