Overview
One version of the truth, plus smart automation
Analytics projects stall when every team brings its own numbers. The first job is a single, governed data layer with definitions everyone agrees on.
Once that exists, forecasting, anomaly detection and AI assistants become straightforward additions with measurable payback instead of experiments.
Get a free consultationWhat is included
Data, Analytics & AI — scope of work
Data platform & pipelines
Warehouse or lakehouse setup with scheduled, monitored ingestion from your systems.
BI & reporting
Executive and operational dashboards in Power BI, Tableau or Looker with defined metrics.
Data quality & governance
Validation rules, lineage, access control and a documented metric dictionary.
Predictive models
Demand, churn, credit and maintenance models with clear accuracy reporting.
AI assistants & document AI
Retrieval-based assistants over your own content, plus invoice and form extraction.
MLOps
Versioned models, monitored drift and retraining schedules so accuracy holds.
What you get
Deliverables, in writing
Every data, analytics & ai engagement lists its deliverables in the scope document, so acceptance is never a debate.
- Single governed warehouse with monitored pipelines
- Agreed metric definitions and lineage documentation
- Dashboards adopted by the teams that need them
- AI use cases with measured hours or cost saved
FAQ
Data, Analytics & AI questions
For most use cases yes — clean, joined data is what makes models and assistants reliable.
No. We use private deployments or providers that contractually exclude training on your data.
A first governed dashboard on one or two sources typically ships in three to four weeks.
Start here
Ask about data, analytics & ai
Send a short note about your situation and we will reply with next steps and an indicative cost range.
Related services
Often combined with
Ready to fix the bottleneck?
Book a free 30-minute consultation. We will review your current setup and send a short written plan — no obligation.