Data architecture & warehouse migration
ServicesAI & Data
Data, ML & Analytics
Data, ML & Analyticsthat earns its keep.
We treat data as a product. From the warehouse up: ingestion, modelling, semantic layers, dashboards, and ML services that downstream teams can actually trust. We've replaced more than a few sprawling spreadsheets with one calm pipeline.
analytics / dashboard
liveRevenue
$48.2M
MoM
+12.4%
Churn
−1.8pp
Q4 by week
Always-on telemetryEval-first deliverySenior team only
Inside the engagement
What you get when you hire us for data, ml & analytics.
Ideal for
Companies whose decisions are slowed down by their data, not their people.
Modern ELT (dbt, Airbyte, Fivetran)
Semantic layers & self-serve analytics
ML pipelines, forecasting & propensity models
Reverse ETL into the tools that need the data
Why TeleMatrix for this
The reasons teams pick us for data, ml & analytics.
Data treated as a product. Versioned schemas, contracts, and SLAs from the start.
ELT pipelines on dbt and modern warehouses, not stitched-together cron scripts.
Semantic layer that decision-makers actually use, not a hundred dashboards nobody opens.
ML models with monitored drift and clear ownership, not science-experiment artifacts.
Reverse ETL into the tools your teams already work in: Salesforce, HubSpot, Mixpanel.
Stack we ship with
Vendor-neutral. Senior in every layer of your stack.
A representative slice of the tools we use for data, ml & analytics. We meet your platform where it lives, and we work with many more.
Snowflake
BigQuery
Databricks
Redshift
dbt
Airbyte
Fivetran
Segment
Census
Hightouch
Looker
Metabase
Apache Airflow
MLflow
Engagement timeline
From the first call to a system that runs.
A typical engagement looks like this. Faster, slower, or parallel tracks are all on the table when the work demands it.
Audit
Sources, freshness, ownership, unit economics, current pain points.
Architecture
Warehouse choice, ELT design, semantic layer, governance model.
Build
Pipelines, transforms, dashboards, first ML services.
Activate
Reverse-ETL into ops, build the second wave of models.
How we run the work
Five phases. Same discipline, every engagement.
Discover
Goals, constraints, and the metric we're moving, locked in week one.
Plan
Architecture, scope, and a sprint plan you and your stakeholders can read.
Build
Senior teams ship in tight sprints. Demos every Friday, no surprises.
Launch
Hardening, eval, rollback plan, comms — a real launch, not a release note.
Operate
We measure, iterate, and keep the system improving long after handoff.
Outcomes
What teams have seen with us.
Indicative ranges from recent data, ml & analytics engagements. Your numbers will depend on starting point and scope. We agree the success metric in week one and report weekly against it.
- Real metric, not vanity. Reported weekly.
- Eval / QA gates every release.
- Auditable, regulator-ready when needed.
less than 1h
fresh data SLA
95%+
pipeline reliability
1 week
to first decision-grade dashboard
3 to 4x
analyst productivity vs spreadsheets
FAQ
Questions teams ask before they pick us.
Don't see your question? Email support@telematrixglobal.com or message us on WhatsApp.
Almost certainly yes for anyone past two or three source systems. We pick Snowflake, BigQuery, or Databricks based on volume, latency, and existing cloud.
AI · in production
Built to survive Monday morning.
Real systems, not demos. Eval harnesses, guardrails, latency budgets, and clear rollback paths.
Related capabilities
Pairs well with
Let's build
Ready to engineer the next chapter of your business?
Tell us where you are, where you want to go, and the deadlines you cannot miss. We'll respond within one business day with a clear next step.
Direct line
support@telematrixglobal.com
+91 79808 07674
Operations hours
Mon to Sat · 09:00 to 19:00 IST
Project teams cover follow-the-sun.