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Services

Five ways to make reporting useful again

Each service starts with a business problem, not a piece of software. The goal is to improve how information is produced, understood, and used. If the right solution is not obvious, the Data Assessment is designed to establish it.

Dashboard Development

The numbers exist, but getting to them still requires someone to assemble a report. By the time the answer arrives, the decision may already have been made.

Dashboard Development creates a clear view of the metrics the business actually uses. The reporting is built around existing systems and every figure can be traced back to its source.

What this covers

  • Executive dashboards covering overall business performance
  • Sales dashboards for pipeline, activity, and conversion
  • Financial dashboards for revenue, margin, and cash position
  • Job-cost dashboards for committed cost, forecast, and cost to complete
  • Inventory dashboards for stock levels and reorder timing
  • Operational dashboards for throughput and capacity

Common problems it solves

  • Reporting is already stale when it reaches decision-makers
  • Routine questions require a new report each time
  • Different reports produce different answers
  • There is no reliable view across departments, jobs, or systems

Typical deliverables

  • A working dashboard built around agreed metrics
  • Documented calculation logic
  • A repeatable refresh process
  • Written handover documentation
  • A walkthrough of how the reporting works

Example scope

A contractor with 18 active jobs needs one view of margin, committed cost, and jobs trending over budget. The dashboard is refreshed weekly from accounting and job-tracking data.

Reporting Automation

The same report is rebuilt every week or month. The process is predictable, but it still consumes hours of manual work.

Reporting Automation turns that recurring process into a repeatable system. Reports refresh, validate, and deliver with far less manual involvement.

What this covers

  • Daily, weekly, and monthly recurring reports
  • Excel and CSV processing
  • Scheduled data refreshes
  • Automated PDF reporting
  • Email distribution
  • Removal of repetitive copy-and-paste work
  • Validation checks before reports are issued

Common problems it solves

  • Hours are lost rebuilding the same report
  • Reporting stops when one person is unavailable
  • Manual errors are found after the report is sent
  • The process depends on undocumented steps
  • Deadlines are missed when the team gets busy

Typical deliverables

  • The existing report rebuilt as a repeatable process
  • Scheduled refresh and delivery
  • Validation checks for missing or unusual data
  • Documentation explaining how the process works
  • Instructions for routine changes

Example scope

A property manager spends two days each month combining information from three systems to prepare owner statements. The process is rebuilt to run automatically with checks that identify exceptions before anything is distributed.

Data Cleanup and Integration

The same customer, project, or transaction is recorded differently across multiple systems. Totals no longer reconcile cleanly, so confidence in the reporting starts to disappear.

Data Cleanup and Integration establishes a dependable structure across those sources. Conflicting records are reconciled and the rules used to resolve them are documented.

What this covers

  • Combining exports from disconnected systems
  • Standardizing categories, names, and cost codes
  • Finding and removing duplicate records
  • Validating records against defined business rules
  • Connecting systems where practical
  • Creating a reliable reporting dataset

Common problems it solves

  • The same customer or job exists under several names
  • Categories have been entered inconsistently over time
  • Two systems report different totals
  • Data has to be re-keyed between systems
  • Reporting cannot be trusted because the underlying records are inconsistent

Typical deliverables

  • A documented review of data conflicts
  • A cleaned and reconciled dataset
  • Defined naming and entry standards
  • A repeatable process for combining sources
  • Validation rules that identify future issues

Example scope

A service company's dispatch and accounting systems disagree on monthly revenue. The underlying records are reconciled, the source of the difference is documented, and a repeatable check is created to flag future discrepancies.

Business Analysis

Sometimes the problem is not reporting. There is simply a question the business needs answered and the existing data does not make the answer obvious.

Business Analysis is a focused piece of work built around one decision or question. The analysis is documented so the conclusion can be examined rather than simply accepted.

What this covers

  • Profitability by job, product, service line, or customer
  • Customer retention and revenue concentration
  • Sales performance over time and by segment
  • Cost and margin analysis
  • Forecasting from historical performance
  • KPI development
  • Evaluation of operational or pricing changes

Common problems it solves

  • Profitability is known overall but not by customer or job
  • Leadership cannot tell whether a recent change worked
  • Forecasts are based primarily on judgment
  • The business measures what is available rather than what is useful
  • A decision needs evidence before capital or resources are committed

Typical deliverables

  • A written analysis answering the agreed question
  • Supporting data and calculations
  • Assumptions and limitations
  • Visual summaries where useful
  • A walkthrough of the findings

Example scope

A contractor believes smaller jobs generate weaker margins but has never tested the assumption. Two years of project history are analyzed by job size with labor and overhead applied consistently.

Ongoing Analytics Support

Some businesses need regular analytical support but do not yet need a full-time analyst.

Ongoing Analytics Support gives you regular access to someone who already knows your reporting and data. The work can shift as questions and priorities change.

What this covers

  • Maintenance of existing dashboards and reports
  • Monthly reporting and KPI review
  • New analysis as questions arise
  • Leadership reporting support
  • Continuous improvement of existing reporting
  • Recurring data validation
  • Analytical support for operational decisions

Common problems it solves

  • Reporting slowly falls out of date after it is built
  • New questions arise with nobody available to answer them
  • Leadership meetings rely on stale or incomplete information
  • The business needs analytical capability but cannot justify a full-time hire

Typical deliverables

  • An agreed number of support hours each month
  • Maintenance of existing reporting
  • New analysis within the available scope
  • A recurring review session
  • Documentation as reporting evolves

Example scope

A growing business maintains three core dashboards and holds a monthly KPI review. Additional hours are used for new reporting questions as they arise.

Not sure which of these applies?

That is a common starting point, and it is what the Data Assessment is for. It is a structured review of the current reporting environment, and the written recommendations are yours either way.

What can be committed to is the work described and delivered. No specific financial result is promised, because promising one would mean guessing about a business LeBouef Data Solutions has not yet seen.

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