Readiness Assessment
Estate inventory, workload fit across Microsoft Fabric and Azure Databricks, and a business case.
- Workload inventory and dependencies
- Target architecture and roadmap
- Total cost of ownership (TCO) and business case
Microsoft Azure | Analytics on Azure
Analytics on Azure
One governed analytics foundation, proven before the business depends on it.
KPI Partners moves enterprise data warehouses, data platforms and business intelligence (BI) onto Microsoft Fabric, Azure Databricks and Power BI with accelerator-led conversion, full history and performance proven under load. Every function decides from the same numbers, and your next artificial intelligence (AI) use case starts on data the business already trusts.
Microsoft FabricOneLakeAzure DatabricksUnity CatalogAzure Data FactoryAzure Data Lake Storage Gen2Power BIMicrosoft PurviewMicrosoft Entra IDAzure SynapseAzure SQL DatabaseAzure PolicyMicrosoft FabricOneLakeAzure DatabricksUnity CatalogAzure Data FactoryAzure Data Lake Storage Gen2Power BIMicrosoft PurviewMicrosoft Entra IDAzure SynapseAzure SQL DatabaseAzure Policy
Outcomes on Azure
What Changes When Analytics Runs on One Governed Foundation
Results from KPI Partners analytics programs on Microsoft Azure, running in production with the business.
60-80%
Faster report and dashboard performance after moving legacy extract, transform and load (ETL) workloads to Microsoft Fabric
Global semiconductor equipment manufacturer30% to 0%
Data quality issues in finance reporting after the move to Microsoft Fabric
Global insurance broker2x
Expected data volume held inside the ingestion service level agreement (SLA), proven before go-live
Global semiconductor equipment manufacturer60+
Microsoft Certified Professionals in the KPI Partners Fabric Center of Excellence
KPI Partners Fabric Center of ExcellenceA different path
Modernize Analytics on Azure Without Starting Over
Same Microsoft platform, sequenced around the numbers your business already relies on.
The usual path
- Reports rebuilt one by one, including the ones nobody opens
- History left behind in the legacy warehouse
- Performance discovered by users after go-live
- Governance added once the platform is already live
- AI pilots built on data the business has not signed off
With KPI Partners on Azure
- Rationalize first, then rebuild only what the business uses
- Carry full history into the new model, validated before cutover
- Prove pipelines under expected and peak load before go-live
- Govern from day one with Microsoft Purview, Microsoft Entra ID and Unity Catalog
- One governed semantic layer, ready for Copilot and agents
What we deliver
Four Ways We Deliver Analytics on Azure
Common starting points that adapt to each enterprise. Most programs combine more than one.
Data warehouse and platform migration
Move Oracle, SQL Server, Teradata, Azure Synapse and Informatica estates to Microsoft Fabric or Azure Databricks, with accelerator-led conversion and side-by-side validation.
Proven in: Beverage manufacturing, insurance
Gen-AI Based Data Platform Migration AcceleratorUnified analytics on Microsoft Fabric
Build one OneLake medallion foundation, from metadata-driven ingestion to Power BI semantic models, with capacity sized so reporting, planning and AI never compete.
Proven in: Semiconductor manufacturing
Microsoft Fabric and AI servicesBI modernization to Power BI
Rationalize the report estate, then convert OBIEE, Oracle Analytics Cloud (OAC), Cognos, Tableau, Qlik and BusinessObjects content to Power BI semantic models.
Proven in: High-tech, insurance
Gen-AI Based BI Modernization AcceleratorGoverned data products and pre-built analytics
Publish domain data products inside your Azure landing zones and light up finance, supply chain and HR analytics with pre-built models for Oracle, SAP, Workday, Dynamics 365 and Salesforce.
Proven in: Life sciences, beverage manufacturing
Enterprise Analytics AcceleratorHow We Engage on Analytics on Azure
Fixed scope at the start of every engagement, so you prove value before you scale.
Proof of Value
One use case delivered on your own data before you commit to the full program.
- Working pipelines and semantic model
- Results validated against source
- Go-forward plan and sizing
Migration Factory
Accelerator-led migration in waves, each validated side by side before cutover.
- Converted pipelines, models and reports
- Reconciliation and performance reports
- Cutover and hypercare plan
Run and Optimize
Operate, govern and tune the platform once the business depends on it.
- Monitoring, alerts and runbooks
- Capacity and cost optimization
- Governance with Microsoft Purview
Start on Azure Marketplace:
Migrate From What You Run Today
Source-to-target coverage for the estates enterprises bring to Azure.
Oracle EDWSQL ServerAzure SynapseTeradataNetezzaHadoop
Microsoft Fabric or Azure DatabricksLakehouse and warehouse on OneLake or Unity Catalog
InformaticaOracle Data Integrator (ODI)SQL Server Integration Services (SSIS)Azure Data Factory
Fabric Data Pipelines and notebooksMetadata-driven ingestion and transformation
OBIEEOACCognosTableauQlikSAP BusinessObjectsMicroStrategy
Power BISemantic models in Direct Lake, DirectQuery or Import
Why KPI Partners
Why Enterprises Choose KPI Partners for Analytics on Azure
Accelerators that start you ahead
Gen-AI based conversion for data platforms and BI, plus pre-built analytics for enterprise systems, so every program starts from what already works.
Proven before go-live
Load, stress and endurance testing, reconciliation against source and change board sign-off happen before the business depends on the platform.
Governed from day one
Microsoft Purview, Microsoft Entra ID, Unity Catalog and Azure Policy are part of every build, not a later phase.
Ready for AI on the same data
Governed semantic models become trusted context for Copilot, Fabric data agents and DomainIQ Agents, pre-built or custom-built for your use case.
How Every Engagement Runs
The same six stages on every program, aligned to the Microsoft Cloud Adoption Framework and Azure Well-Architected Framework.
- 1Assess
Estate inventory, dependencies, readiness and a business case for every workload.
- 2Design
Reference architecture, landing zone and security design aligned to Microsoft guidance.
- 3Prove
A proof of concept on your own data, with design review gates before the build.
- 4Build
Accelerator-led conversion, metadata-driven pipelines and continuous integration and delivery (CI/CD) from Dev to Production.
- 5Validate
Reconciliation against source, load and endurance testing, and user acceptance before cutover.
- 6Operate
Runbooks, monitoring, governance and skilling, so your team runs the platform with confidence.
Customer stories and insights
Analytics on Azure, Proven in Production
Customer stories
Semiconductor | Microsoft Fabric
Insurance | Microsoft Fabric
Case Study
Modernizing Fragmented Oracle Reporting into a Governed Microsoft Fabric Data Foundation
Read Case StudyBeverage manufacturing | Azure Databricks
Case Study
Enterprise Analytics Accelerator for Beverage Manufacturing: Fusion-Ready Analytics with Full History on Microsoft Azure
Read Case StudyLife sciences | Azure Databricks
Case Study
Data Engineering for Life Sciences: Governed Data Products on a Microsoft Azure Data Mesh
Read Case StudySemiconductor | Microsoft Fabric
Case Study
Microsoft Fabric Migration Case Study: Unified Analytics and AI Readiness for Semiconductor Manufacturing
Read Case StudyData platform migration | Microsoft Fabric
Case Study
Modernizing Legacy Informatica to Microsoft Fabric for Agile, AI-Ready Analytics
Read Case StudyData platform migration | Microsoft Fabric
Case Study
Modernizing Enterprise Data Platforms: Accelerating Informatica to Microsoft Fabric Transformation
Read Case StudyFinance | Microsoft Fabric
High-tech | Power BI
Case Study
Modernizing BI at a Global Enterprise Networking Leader: OBIEE to Power BI Migration
Read Case StudyBI modernization | Power BI
Case Study
Migrating a 120+ Workbook Tableau Estate to Power BI Across Three Global Regions
Read Case StudyInsurance | Power BI
Life sciences | Azure Databricks
Life sciences | Azure Databricks
HR analytics | Microsoft Azure
Sales analytics | Power BI
Point of sale | Azure Synapse
Education | Azure Synapse
Data warehouse | Azure SQL
Insights
Microsoft Fabric
Insurance | Microsoft Fabric
Insurance | Microsoft Fabric
Insurance | Microsoft Fabric
Insurance | Microsoft Fabric
Banking | Microsoft Fabric
HR analytics | Azure Databricks
BI modernization | Power BI
BI modernization | Power BI
BI modernization | Power BI
BI modernization | Power BI
Also on Microsoft
FAQ
Questions Buyers Ask About Analytics on Azure
Which Microsoft Azure analytics services does KPI Partners deliver on?
We deliver on Microsoft Fabric (OneLake, lakehouses, warehouses, Data Pipelines and notebooks), Azure Databricks with Unity Catalog, Azure Data Factory, Azure Data Lake Storage Gen2, Azure SQL Database and Power BI, governed with Microsoft Purview, Microsoft Entra ID and Azure Policy. The right mix depends on your workloads and your existing estate.
Should we choose Microsoft Fabric or Azure Databricks?
It depends on your workloads, skills and current investments. KPI Partners delivers on both and recommends the right fit for each workload during the readiness assessment. The two can also run side by side, for example with OneLake shortcuts or Fabric mirroring.
Can we keep our historical data when we migrate?
Yes. History is planned from the start: Surrogate key strategies, natural-key alignment and partition-wise merges carry long-term history into the new model, and duplicate and key checks validate it before cutover.
What happens to the reports we already have?
We start with rationalization, so the business decides which reports to keep before anything is rebuilt. Surviving content is converted with the Gen-AI Based BI Modernization Accelerator and redesigned on Power BI semantic models, with row-level and object-level security carried over.
How does modernized analytics prepare us for AI?
The business definitions modeled during modernization become governed context for Microsoft 365 Copilot, Fabric data agents and Foundry agents. KPI Partners can then add DomainIQ Agents, pre-built or custom-built for your use case, on the same governed data.
How do we get started?
Most programs start with a readiness assessment or a proof of value on your own data. KPI Partners offers are listed on Azure Marketplace, and eligible engagements may qualify for Microsoft funding such as End Customer Investment Funds (ECIF).
Bring Your Analytics Onto One Governed Azure Foundation
Tell us what you run today and the decisions it supports. We will map the path to Microsoft Fabric, Azure Databricks and Power BI, and the first AI use case it unlocks.
Microsoft account teams: Bring KPI Partners into your next analytics on Azure conversation.
Explore the KPI Partners and Microsoft partnership