Our approach
AI is only as good as the data and definitions underneath it. We modernize first, so every AI answer comes from numbers your business already trusts.
Move warehouses, appliances, extract, transform and load (ETL) pipelines and BI to the Databricks lakehouse with GenAI-assisted conversion and automated validation. Then light up finance, HR and supply chain analytics with pre-built accelerators.
Migration servicesThe definitions we certify during modernization become governed context for Genie, domain agents and machine learning (ML), powered by the Enterprise Context Engine by KPI Partners, so every answer is one the business already signs off.
AI servicesGovernance built in. Unity Catalog access control, lineage and audit are in place from the first workload, not added afterwards.
Migration and modernization
Our Gen-AI Based Data Platform Migration Accelerator converts schemas, SQL, ETL mappings and semantic layers. Automated validation confirms data and business logic match before anyone switches over.
Assessment and roadmap, accelerator-led conversion, side-by-side validation and wave-based cutover. Your teams adopt Databricks workload by workload, on a plan your finance team can approve.
One standard way to ingest, transform and orchestrate data on Databricks, so pipelines are built, run and governed in one place.
Run operational databases on Lakebase, managed Postgres on Databricks, so apps, APIs and agents work from live, governed data.
Ready data models and metrics for Oracle Fusion, SAP, Workday and Salesforce across finance, human capital management (HCM), supply chain and customer relationship management (CRM).
Traditional BI to Dialog with Data
Your dashboard estate holds years of agreed metrics. We carry that agreement forward instead of rebuilding every report, and our accelerators turn what is usually a multi-quarter migration into weeks per domain.
The KPI Partners session at Databricks Partner Tech Summit FY27, with Pete Knast, Vice President, Client Services, and Norma D’Souza, Associate Vice President, KPI Partners.
Put AI to work
Every AI engagement runs on migrated, governed data, so answers come from definitions your business already owns.
Business users ask questions in plain language and get governed answers in Databricks, Microsoft Teams or Slack, scoped to what each person is allowed to see.
Pre-built agents for finance, procurement, supply chain, HR and sales, or agents custom built for your use case. Both run on certified business definitions and your governed data.
Multi-agent systems, document AI and model fine-tuning, with tracing, evaluation and spend limits on every model call.
Governance and AI readiness
One place to govern data, models and agents across workspaces and clouds, with controls on how agents behave in production.
Unity Catalog servicesCatalog design, account groups and tag-based access policies, with row filters and column masks.
Upgrade or federate legacy tables, update jobs and queries, and retire direct metastore access.
Models, agents and Model Context Protocol (MCP) services registered in Unity Catalog, with guardrails and spend limits.
Automatic column-level lineage, sensitive data classification and a record of every access.
Why KPI Partners
Our Databricks practice brings repeatable patterns from real migrations to every engagement, so you start from proven tooling rather than a blank page.
Automated conversion of schemas, PL/SQL, ETL mappings and semantic layers, with migration assessment and roadmap.
Moves an inherited dashboard estate to governed, question-driven analytics on Databricks.
End-to-end pipeline validation with configurable tests, so results match before cutover.
Consumption analysis, workload profiling and cost optimization once you are live.
Brickbuilder Specialization: Migrate and Modernize
The Fastest-Growing Analytics and AI Companies Driving Business in 2026
Best Firm for Forward Deployed Engineer (FDE) Talent
Minsky Award for Excellence in AI Strategy Consulting
Engagement models
Every program starts with a fixed scope and a fixed price. Migration, AI and managed services are then scoped and priced with you, based on what the assessment finds.
| Engagement | What you get | Scope and investment | Partner funding | You leave with |
|---|---|---|---|---|
| Migration Readiness Assessment | Inventory of sources, pipelines and workloads, target architecture on Databricks, business case and wave plan | 2 weeks, complimentary | Databricks DCIF or cloud partner funding, where eligible | A sized, prioritized roadmap |
| Quick Start | One pipeline, database, dashboard or Genie agent proven end to end on your data | Fixed scope, fixed price | Databricks DCIF, AWS Migration Acceleration Program (MAP) or Azure End Customer Investment Funds (ECIF), where eligible | Evidence on your own workload |
| Migration factory | Accelerator-led migration in waves, with old and new running side by side until results match | Scoped and priced with you after the assessment | Databricks DCIF or cloud partner funding, where eligible | Workloads live on Databricks |
| AI and agents | Genie, domain agents and ML on the migrated, governed data | Scoped and priced with you after the assessment | Funded by your organization | AI in production with your users |
| Run and optimize | Managed service for cost, performance, reliability and governance, with our Infrastructure Optimizer | Scoped and priced with you after the assessment | Funded by your organization | A platform that keeps improving |
Partner funding applies where your organization and the engagement qualify.
Customer stories
From Oracle, Informatica and legacy warehouses to a governed lakehouse, across insurance, healthcare, life sciences and manufacturing.
Financial reporting brought together from more than 18 source systems on Databricks on AWS.
Read the case studyCampaign data and analytics rebuilt on the lakehouse for the marketing organization.
Read the case studyClinical trial forecasting re-platformed on Databricks for scale and cost efficiency.
Read the case studyInsurance analytics moved from Oracle Autonomous Data Warehouse (ADW) to a scalable Databricks platform.
Read the case studyLegacy Informatica ETL moved to a modern lakehouse with our Informatica to Databricks migration utility.
Read the case studyVersion-controlled continuous integration and delivery (CI/CD) for Databricks pipelines on AWS.
Read the case studyBuilding a business case a chief financial officer can approve, sequencing workloads so reporting never goes dark, and a live automated Oracle to Databricks conversion. With Vijay Anala (Databricks), Raj Adichithara (AON), Fari Breguet and Balaswamy Kaladi (KPI Partners).
Talk to us
A complimentary, 2-week, fixed-scope look at your estate. You leave knowing:
Prefer a conversation first? Talk to our experts.
