Skip to content
Get startedRequest a demo

/ Solutions / BI consolidation

Fewer tools. One set of numbers.

ContextBase reads the workbooks and models in the tools you run. Your team approves the definitions, and the dashboards that matter run on one set of numbers.

The difference

Your BI estate, before and after

Today

  • A BI tool for every team that asked for one
  • The same measure, defined differently in each
  • Business logic kept in each vendor’s format
  • Every change made in several places

With ContextBase

  • One approved definition every dashboard reads
  • Definitions versioned in the knowledge graph
  • Dashboards that refresh without spending tokens
  • Every measure keeps how it was produced

01 · Consolidate

Every BI tool into one layer your team owns.

Workbooks, calculated fields, Power BI measures, and LookML models are read where they are. The definitions inside them become knowledge entries your team approves, attached to the tables they read. The meaning survives; the vendor’s format does not have to.

One workbook, taken apart1 workbook → 4 entries

Demo data

  • Calculated fields become metric entries your team approves
  • Filters and joins become the pitfalls and definitions attached to each table
  • Lineage read from each tool’s own metadata, so every report traces to its tables

02 · Reconcile

One number, where there were three.

The same measure rarely means the same thing in every tool. ContextBase finds where reports disagree and why. Every rebuilt dashboard reads the one definition your team approved.

Paid PMPM · 2026One approved definition

Approved$412.80

+$5.40 · Reversed claims countedTableau · data source filter missing

Each conflict is recorded with how it was resolved. Every dashboard reads the approved definition. Demo data.
  • Where reports disagree, the conflict is recorded with how it was resolved
  • The people who own a measure approve the definition that stands
  • Every measure keeps an explanation of how it was produced

Impact study

Client
Profile
Large payer
Scope
BI and intelligence stack
Status
Replaced · one environment

$5MLower annual operating cost, against the cost of running the stack it replaced

A large payer

Replacing an enterprise intelligence stack.

The payer relied on a stack of tools to move data, define measures, and produce reports. Familiar measures needed reconciling when reports used different populations, dates, or rules. Flume replaced the stack with one connected environment for data access, analysis, and reporting.

  • Reports and investigations read the same reviewed definitions
  • New dashboards start from established definitions
  • Every measure keeps an explanation of how it was produced
Read the impact study

The consolidation

Three steps, one dashboard family at a time

The same path every time, starting from the reporting the business relies on, so you rebuild dozens of dashboards, not thousands.

  1. 01 / Read

    Read what you run

    Connect each BI tool read-only. ContextBase reads its workbooks, measures, and models, and the lineage behind them, so you see which reports read which tables.

    Lineage mapped

  2. 02 / Rebuild

    Rebuild on one definition

    Your team approves one definition for each measure. The dashboards that matter are rebuilt in ContextBase on those definitions, and refresh without spending tokens.

    One set of numbers

  3. 03 / Retire

    Retire the rest

    Once the reporting the business relies on runs on one set of numbers, the tools behind the rest can go. The definitions stay in your repo.

    Tools retired

Use cases

Where consolidation starts

  1. 01Tableau consolidation

    Workbooks and calculated fields read through Tableau’s own metadata, the definitions approved once, and the dashboards that matter rebuilt on them.

  2. 02Power BI and Looker, one definition

    Power BI measures and LookML models read side by side, so the same metric means the same thing in every report.

  3. 03Recurring reports on a schedule

    The report someone rebuilds every month, delivered by a scheduled bot inside ContextBase instead.

  4. 04Dashboards from proven answers

    A dashboard starts from the metric an answer already proved, and refreshes without spending tokens.

  5. 05Lineage before a change

    See which reports read a table or a column before anyone changes it, from each tool’s own lineage.

  6. 06Client and employer reporting

    Build each client’s report once as a dashboard. A scheduled bot delivers each one, and refreshes spend no tokens.

Questions

What teams ask before they start

Do we have to move everything?

No. Start with the dashboards the business relies on. ContextBase reads every tool you connect, so the rest can stay where it is until you decide what to retire.

What happens to our calculated fields and LookML?

ContextBase reads them where they are, and the definitions inside them become knowledge entries. Your team approves each one, and every rebuilt dashboard reads the approved version.

What if the numbers do not match?

That is usually the point. Where two reports disagree, the conflict is recorded with how it was resolved, and the people who own the measure approve the definition that stands.

Can we keep some reports in the old tool?

Yes. Connections to your BI tools are read-only, so ContextBase works alongside them. The definitions your team approves are in the knowledge graph either way.

Does it change anything in our BI tools?

No. Each BI connection is read-only, scoped to the projects and workspaces you grant. See the Tableau connection

Assess a BI consolidation.

Bring one dashboard family. We connect the tools behind it, rebuild the dashboard that matters on approved definitions, and reconcile every number with your team. Then you decide what to retire.

  1. 01A call to pick the dashboard family and the tools behind it
  2. 02We connect those tools read-only and rebuild the dashboard that matters
  3. 03Your team checks every number before anything is retired