Service 07 / 11
Make the data you already have drive the decisions that matter.
Data platforms, dashboards and applied ML for operational decisions.
Overview
What Data & Analytics covers
DTIA builds the pipeline from raw data to decisions — warehouse / lakehouse, modelling, dashboards, and applied machine learning for forecasting, classification and optimisation.
Industry Challenges
What we hear on the ground
- Data trapped in disconnected systems
- Reports that are slow, manual and disputed
- No forecasting or early-warning capability
- Analytics projects that never reach production
DTIA Solutions
What we put in place
- Data platform: ingestion, warehouse / lakehouse, governance
- Semantic modelling and a single source of metrics
- Executive and operational dashboards
- Applied ML: demand forecasting, quality, churn, optimisation
- MLOps and monitoring for models in production
Process Flow
How an engagement runs
- Step 01
Data audit
Inventory sources, quality and consumers.
- Step 02
Platform
Stand up ingestion, storage and modelling.
- Step 03
Decision products
Ship the first dashboards and models.
- Step 04
Industrialise
Governance, monitoring and enablement.
Benefits
What changes for you
- Trusted, consistent metrics
- Forecasts and alerts instead of hindsight
- Analytics that survive past the pilot
Real Project Gallery
From the labs and the field
Real photography from CUTM labs, Gram Tarang Technologies and client sites will replace these frames.
Video Gallery
Watch it explained
FAQs
Common questions
Both are supported; the choice follows your data-residency, cost and skills constraints.
Put Data & Analytics in action
Scope this service against your context, KRAs and a performance-linked commercial model.