Dashboard cleanup

Dashboard rescue for reports your team depends on.

Dashboard Rescue helps teams clean up Tableau dashboards and BI reports that are confusing, slow, manually refreshed, hard to maintain, or no longer trusted by leadership.

What’s included

Clean up the dashboard and the logic behind it.

A dashboard problem is rarely just visual. Borrowed BI reviews the metric definitions, source data, refresh process, filters, and user needs so the final dashboard is easier to trust and maintain.

Dashboard review

Review the current dashboard, audience, pain points, filters, calculations, and refresh process.

Metric validation

Check the logic behind the numbers and identify where calculations or definitions are creating confusion.

Source cleanup

Improve the structure of the underlying data source or recommend the right model changes.

Audience and workflow review

Clarify who uses the dashboard, what decisions it supports, and where the current experience breaks down.

Dashboard rebuild or repair

Fix the existing dashboard or rebuild the core view around clearer decisions, cleaner design, and better trust.

Documentation and handoff

Provide metric notes, refresh instructions, and practical guidance for maintaining the dashboard.

Illustrative example

A dashboard problem is not always only a design problem.

This fictional example shows the kinds of dashboard and reporting issues a Dashboard Rescue engagement may address. It is not a client project and does not represent actual client data.

In this example, a nonprofit leadership team uses a quarterly program dashboard that has accumulated new filters, metrics, and reporting requests over time. The dashboard still works, but key numbers are difficult to prioritize, similar measures are labeled inconsistently, and important definitions are easy to miss.

The goal is not simply to make the dashboard look cleaner. It is to make the reporting easier to interpret, validate, maintain, and use in decisions.

Illustrative before dashboard: eight filters, two equal-weight KPI rows, a four-series trend chart, a pie chart, and a dense nine-column detail table.
Illustrative before dashboard Open full-size dashboard
Illustrative after dashboard: four filters, primary and secondary KPI tiers, a two-series trend chart, consistent program colors, and a visible definitions and ownership footer.
Illustrative after dashboard Open full-size dashboard
What the rescue addresses

The visible problem and the reporting fix.

What was getting in the way What changed

Too many filters and equal-weight KPIs make the dashboard difficult to scan.

Filters are limited to the controls used across the main views, and KPIs are grouped into primary and secondary tiers.

Similar measures use inconsistent names, formats, and visual conventions.

Metric names, number formats, program colors, and labels are standardized across the dashboard.

Charts combine unrelated measures or repeat information already shown elsewhere.

Each analytical view answers one clear question, using measures that belong together and removing unnecessary duplication.

Definitions, refresh timing, data ownership, and important operational details are difficult to find.

Definitions, refresh information, ownership, and a focused detail table are placed where users can find and validate them.

Is Dashboard Rescue the right fit?

Best when the dashboard itself is the defined problem.

Dashboard Rescue focuses on the report, its calculations, its data source, and the way people use it.

Common signs

  • Excel exports have replaced the dashboard.
  • The same metric shows different totals.
  • Refreshes are slow and hard to maintain.
  • The original developer is unavailable.
  • Calculations and filters are hard to follow.

Repair may fit when

  • The existing structure is basically sound and usable.
  • The data source can still be used without a rebuild.
  • The main issues are calculations, usability, performance, or documentation.

Rebuild may fit when

  • The current model or workbook architecture is fundamentally fragile.
  • Requirements have changed substantially.
  • The dashboard cannot be extended safely.
  • Several views need to be redesigned or consolidated.

If the real problem is a recurring manual reporting workflow, Reporting Automation may be the better fit.

Pricing

Dashboard pricing depends on repair or a rebuild.

Instead of one very wide range, these packages separate a targeted rescue from a deeper rebuild with clearer included hours.

Targeted rescue

Dashboard Repair

$5,000

Up to 28 hours included

  • One priority dashboard or reporting view
  • Metric validation and calculation cleanup
  • Filter, layout, refresh, and usability improvements
  • Documentation for key metrics and maintenance
Deeper rebuild

Dashboard Rebuild

$8,500

Up to 48 hours included

  • Rebuild of one key dashboard or small dashboard suite
  • Metric logic cleanup and stakeholder validation
  • Data source restructuring recommendations
  • Cleaner dashboard design, handoff notes, and review session

Pricing notes

  • Visualization, database, warehouse, ETL, hosting, and other software licenses are not included.
  • Project fees are billed in advance unless otherwise agreed.
  • Additional work beyond included scope is billed at $175/hour with approval before overage work begins.
  • Large multi-dashboard rebuilds or major data model changes may be scoped separately before work begins.
Common questions

Dashboard Rescue FAQs

Clear answers for teams deciding whether this is the right kind of BI help.

What is dashboard rescue?

Dashboard rescue is a focused cleanup of a dashboard or BI report that is confusing, slow, hard to maintain, or no longer trusted. The goal is to make the report easier to use, easier to explain, and more reliable.

Can you fix a Tableau dashboard someone else built?

Yes. Borrowed BI can review an existing Tableau dashboard or BI report, identify what is causing confusion or performance issues, and recommend or make practical improvements.

What makes a dashboard hard to trust?

Dashboards usually lose trust when definitions are unclear, filters behave unexpectedly, numbers do not match other reports, refreshes are manual, or users cannot tell where the data came from.

Do you rebuild dashboards or clean up what already exists?

It depends on the condition of the dashboard. Sometimes a cleanup is enough. Other times, rebuilding the report around clearer metrics, data sources, and user needs is the better long-term option.

Who is dashboard rescue best for?

It is best for teams that already have an important dashboard but keep hearing questions like ‘Is this right?’, ‘Why does this number not match?’, or ‘Can someone explain how this works?’