Does BI Backlog need access to our actual data?

No. BI Backlog analyzes metadata and usage information without requiring access to the underlying business data.

How long does a migration assessment take?

Assessment timelines vary based on the size and complexity of the BI environment, including the number of dashboards, reports, users, and data sources involved.

What does an assessment cost?

Assessment costs depend on the scope of the engagement, BI environment complexity, and migration requirements. KPI Partners provides pricing based on each organization’s needs.

You build the future. Is your data stack holding you back?

High-growth tech runs on data - but legacy BI, sprawling pipelines, and siloed product, GTM, and finance data slow every decision. KPI Partners modernizes the data foundation so your teams ship insight, and AI, as fast as they ship product.

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GenAI Copilots DataOps Petabyte Scale Semiconductor Analytics Cloud-Native Migration Accelerators BI Modernization Data Platform Migration Product Analytics Cloud-Native

Five things slowing your data down

None of these are new. Each one becomes more expensive as you scale, and as AI moves from a demo to a shipped feature.

Legacy BI That Can't Scale

Critical reporting trapped in OBIEE, Cognos, BusinessObjects, Qlik, and Tableau sprawl - costly, slow to change, and unable to keep pace.

| A stack that can't scale can't support AI.
Pipeline & Tool Sprawl

Data spread across a patchwork of pipelines and tools with no single, governed foundation - so every question starts with wrangling.

| AI trained on sprawl inherits the sprawl.
Data at Massive Scale

Petabyte-scale data outgrows legacy platforms, demanding modern, cloud-native architecture to query and analyze efficiently.

| Scale is a platform problem before it's a model problem.
Product, GTM & Finance Silos

Product usage, go-to-market, and finance data live apart, so there is no single source of truth for the metrics that run the business.

| You can't optimize what you can't see in one place.
The Distance From Pilot to Production

GenAI copilots and product AI stay perpetual pilots without a clean, unified, governed foundation to run on.

| The gap between a demo and a shipped feature is the data layer.