Modernise legacy warehouses, migrate at scale, run analytics that actually move metrics, and put a live digital cockpit in front of every executive who needs one.
The Problem We Solve
Most enterprises have invested in data – yet executives still wait days for a single number. The problem is rarely the data itself; it is the platform, the pipelines, and the people-process layer wrapped around it. We modernise all three.
Whether you are mid-migration, mid-analytics build, or mid-board-meeting with no dashboard, we plug in fast and engineer the outcome.
Three practices. One delivery model. Picked and sequenced around the outcome you need first.
Replatform legacy warehouses (Teradata, Netezza, Oracle Exadata) and on-prem Hadoop into a modern cloud lakehouse – Databricks, Snowflake, Microsoft Fabric, or BigQuery. We design for cost as much as for performance.
- Architecture options with cost models in week one.
- Workload-by-workload migration plan with downside risk mapped.
- Modern medallion (bronze / silver / gold) layouts with built-in data contracts.
- FinOps controls so the cloud bill does not surprise the CFO.
From descriptive dashboards to predictive ML, we build the analytics layer that connects raw events to revenue. Every model ships with an evaluation harness so quality stays measurable in production.
- Customer-360, churn, LTV, propensity, and price-elasticity models.
- Forecasting and demand sensing for supply-chain and retail clients.
- ML Ops: feature store, drift monitoring, automated retraining.
- Embedded analytics for product teams that want metrics inside the app.
When the business needs to move, not redesign, we run zero-downtime lift-and-shift migrations – SQL Server to Azure SQL, Oracle to RDS, on-prem Hadoop to S3 / ADLS / GCS. We carry the migration risk so you do not have to.
- Pre-migration assessment with target-state cost and performance models.
- Dual-write or CDC-based cutover patterns - your call, our recommendation.
- Rollback path engineered in from day one.
- Post-migration validation: row-count parity, query parity, performance parity.
The C-suite should not be the last to know. Our Digital Cockpit practice builds Power BI-led executive control towers that surface the metrics that matter – cash, cycle time, customer health, capacity – in one live view, on every device.
- 30-day cockpit MVP: 5 KPIs, 1 executive, 1 data domain.
- Row-level security and SSO baked in - not bolted on.
- Composite models that mix imported and DirectQuery sources for performance + freshness.
- Mobile-first design - the CEO’s phone is the primary screen.
We are platform-agnostic but opinionated. Our reference architecture leans on best-in-class tooling – swapped per client constraint.
- Databricks
- Snowflake
- BigQuery
- Redshift
- Fivetran
- ADF
- Airbyte
- Talend
- Airflow
- Dagster
- Prefect
- ADF pipelines
- Unity Catalog
- PurviewCollibra
- Atlan
- Alation
- Power BI
- Tableau
- Looker
- Sigma
- Databricks MLflow
- Azure ML
- Vertex AI
- SageMaker
Whether you are assessing your current state or ccelerating an existing roadmap, we bring structure to every stage.
Deploying AI assistants without discipline creates noise, cost overruns, and inconsistent output. We have built a structured operating model around five engineering principles that determine how our teams use Claude, Copilot, and Cursor in practice.
Pick the model that fits your budget, risk profile, and roadmap maturity.
Same delivery team
across all four.
You define the KPI; we carry the
execution risk. Ideal for funded
transformation programmed.
engagement for exploratory or
evolving work.
Build-Operate-Manage, Build operate Transfer, or productivity On- Demand pods. Specialist teams stood up in 4 weeks.
FAQ
Frequently Asked Questions
Can you work with our existing warehouse, or do we have to replatform?
We meet the data where it lives. Many engagements start with quick wins on the existing warehouse before any replatform decision is on the table.
How do you handle data residency and compliance?
Every engagement includes a data-handling appendix covering residency, encryption, access control, and audit. We deliver SOC 2-aligned controls and support GDPR, HIPAA, and RBI / SEBI data-residency requirements.
Do you build dashboards, or are you really a data platform team?
Both. Our delivery teams are full-stack data – platform engineers, ML engineers, analytics engineers, and BI designers – because the cockpit is only useful if the pipes feeding it are right.
What is the fastest you have delivered an executive cockpit?
30 days, MVP. A Power BI control tower with 5 KPIs and one data domain. We do this as a fixed-scope, fixed-fee engagement.