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FINANCIAL DATA & REPORTING

Replacing Spreadsheet Dependence With an SQL Finance Dashboard

The $25M program relied on detailed financial management across 70 projects. I built an internal SQL-based finance dashboard to reduce spreadsheet dependence, improve data accuracy and make financial information easier for stakeholders to access.

$25M Program environment
70 Projects
SQL Finance dashboard
CONTEXT

The finance process had outgrown a spreadsheet-only way of working.

I was already managing forecasting, budgeting, allocations, POs, run rates, invoicing and accruals across the program. That made the reporting limitations very visible: finance data had to be both accurate and practical to use in recurring program decisions.

I developed an internal SQL-based finance dashboard and later administered and validated the finance view used by stakeholders.

THE CHALLENGE

The dashboard had to solve an operating problem, not become another reporting layer.

01

Spreadsheet dependence

Manual spreadsheet reporting made it harder to scale the same financial view across a large program.

02

Accuracy

Financial information needed checking before it could be used in program and stakeholder decisions.

03

Accessibility

The right people needed a simpler route to the financial information relevant to them.

04

Program context

A number by itself was not enough; it had to make sense against budgets, run rates, projects and the broader program picture.

MY ROLE

I understood both sides of the problem: the financial process and the reporting need.

Because I owned the program financial cycle, I could design the reporting around the way the information was actually used. I built the SQL-based dashboard and also remained involved in the validation and governance of the financial view.

SQL Financial Governance Dashboard Development Data Validation Program Finance Reporting Automation
WHAT I DID

Build around the financial questions people already ask.

01

Mapped reporting to the finance cycle

Used the underlying budgeting, forecasting, allocation, run-rate, invoicing and accrual processes as the basis for the information the dashboard needed to support.

02

Built the SQL-based dashboard

Moved recurring financial information towards an internal SQL-driven view, reducing dependence on spreadsheet-only reporting.

03

Kept validation in the process

Administered and checked the finance dashboard so stakeholders received information that was both accessible and dependable.

04

Used the dashboard inside program governance

Kept the financial view connected to recurring program reviews and decisions rather than treating it as a standalone technical product.

RISKS & TRADE-OFFS

The biggest risk in financial automation is making the wrong number easier to distribute.

Area How I approached it
Data quality

Validation remained part of the process even after reporting became more automated.

False confidence

The dashboard was tied back to the underlying financial processes and program context.

Spreadsheet fallback

The SQL-based view reduced dependence on repeatedly rebuilding the same information manually.

Access to information

The reporting was designed to make relevant financial information easier for stakeholders to obtain and use.

Separation from governance

The dashboard stayed connected to program finance and review routines so the data led into management action.

WORKING WITH STAKEHOLDERS

The users were not looking for a technical solution; they wanted reliable financial answers.

Program leaders, finance stakeholders, project teams and vendor operations all needed different slices of the financial picture. The dashboard had to make that information easier to use without losing the controls behind it.

Program Leadership Finance Project Teams Vendor Operations Decision Makers
RESULTS

The program moved away from spreadsheet dependence towards a more accurate and accessible SQL-based finance view.

$25M Program context
70 Project environment
SQL Finance reporting
400+ Resource environment
Reduced Spreadsheet Dependence Improved Accuracy Better Accessibility Financial Visibility Reporting That Supported Decisions
WHAT I TOOK FROM IT
The technology was the easy part to describe. The more important work was understanding the finance process well enough to know what should be automated, what still needed validation and what information people actually used to make decisions.

Some operational detail and internal terminology have been generalised to respect organisational confidentiality.