Our capabilities / Business intelligence

Make the next decision with a clearer picture.

A useful dashboard starts with a decision. We work backward from what your team needs to know, define the measures, and make the underlying data easier to trust.

Start with the meeting or recurring decision the information should improve. A report earns its place when a reader knows what to investigate, prioritize, or change because of it. That question helps determine which sources, measures, and level of detail are actually needed.

A good fit when

Start with the friction in your workflow.

Recurring reports take too much manual effort, teams disagree about the numbers, or important decisions depend on information spread across several sources.

What we work toward

  • Shared definitions for the measures that matter to a workflow.
  • A repeatable reporting process with visible data limitations.
  • Clearer context for deciding what to investigate or change.

Specific outcomes and acceptance criteria are agreed for each project.

Before you invest

  • Describe an action the report could change, who can take that action, and when they need the information.
  • Check that the source records contain the dates, identifiers, and definitions needed to answer the question.
  • Choose a refresh schedule that matches the decision; faster updates add little value if no one can act sooner.

Possible applications

A few ways this could take shape.

These are illustrative applications to explore, not descriptions of past client projects. The right starting point depends on your process, tools, and constraints.

A useful operating view

Bring agreed measures such as workload, turnaround, or outstanding actions into a focused view for the person making the decision.

Recurring reports, simplified

Create a repeatable way to collect and prepare a defined report, reducing manual assembly while keeping checks on completeness and accuracy.

A shared meaning for the numbers

Document where each measure comes from, how it is calculated, when it updates, and which limitations a reader needs to understand.

An illustrative pilot

Make a weekly workload review easier to prepare.

Imagine a team combining two exports each week to see which requests remain open. Different status names and missing dates make it difficult to compare the report with the work happening on the ground.

One useful first version

A first pilot could reconcile those two sources into one recurring report, define what counts as open, and show the age of outstanding work. It would identify the refresh time and records that need correction.

What a review could check

  • A selected sample can be traced from source records to the displayed totals.
  • Duplicate records, missing dates, and excluded statuses follow documented rules.
  • A late or incomplete source is visibly flagged so stale information is not mistaken for a current result.

This example would not include every company metric, predictive forecasts, or unlimited historical data cleanup. A reliable first report needs a deliberately limited set of sources and questions.

This is a hypothetical scope. Your proposal would define the actual deliverables, test examples, and acceptance criteria.

From example to your workflow

What would a useful first version do for your team?

Name the decision the report should support, the person who understands the data, and the sources you use today. Explain when the information is needed and what is difficult to establish from the current reports.

A shared understanding

Know what goes in. Know what comes out.

The final scope is agreed before a build begins. These are the foundations of a useful engagement.

What a scoped project can include

  • A short set of business questions and agreed metric definitions.
  • A scoped reporting workflow, dashboard, or analysis view.
  • Source checks, refresh instructions, and guidance for interpreting results.

What we need from you

  • The decisions the report needs to support and who makes them.
  • Representative source data with agreed access and handling boundaries.
  • A person who can explain data gaps, definitions, and exceptions.

A considered starting point

Reporting cannot repair missing context by itself. We make incomplete data, inconsistent definitions, and refresh limits visible before treating a number as a reliable basis for action.

Plan the investment and the handover

Make the responsibilities as clear as the work.

A proposal should connect the scope to its cost, review points, and operating responsibilities. Added work and its effect on cost or timing need agreement before proceeding.

What shapes the estimate

Source access, data quality, metric definitions, refresh frequency, and viewer requirements shape the estimate. Reviewing a sample first helps distinguish report design from additional cleanup or integration work.

Allow for running costs

Reporting licenses, viewer seats, storage, and scheduled processing may be billed separately by providers. Identify those costs and the account owner before choosing a tool or a refresh schedule.

Review the work together

Your decision-maker defines the questions, and a data owner explains fields and exceptions. Palmetto proposes the report and checks it with those reviewers, using agreed source examples and written metric definitions.

Agree what happens next

Document each measure, its sources, refresh steps, limitations, and correction owner. Agree who reviews data quality and updates definitions; ongoing report changes or source maintenance require an explicit support scope.

Prepare for a project discussion

Bring the constraints into the conversation.

Include the tools involved, the person who owns the workflow, and any budget or timing constraints. A summary is enough for a first inquiry; leave credentials and confidential records out.

Useful questions

Before we begin.

Do we need a new dashboard?

Not always. A better definition, a simpler recurring report, or a clearer review routine may be enough. The format should follow the decision and the way your team works.

What if our data is messy?

Begin with a representative sample. Identify missing fields, duplicate records, inconsistent definitions, and who owns corrections. Any cleanup work should be visible in the scope.

How do we choose the right metrics?

Name the decision first, then choose a small set of measures that could change it. Give each measure a clear definition, a source, an owner, and a review frequency.

A little preparation

Choose measures that help you act.

Define a small set of useful metrics, understand their limits, and connect a report to the decisions your team actually makes.

Read the practical guide

Make room for what matters

Start with one useful change.

Tell us how the work happens today, where it gets difficult, and what a better version would make possible.

Outline your reporting needs