Data & analytics for accountancy
Reporting partners actually trust, not another spreadsheet pack
Most UK practices run on a mix of practice software exports and partner-curated spreadsheets. A good data partner replaces that with reporting on utilisation, WIP, recovery and client portfolio that the partnership genuinely uses.
Looking at the bigger picture across IT support, cyber, AI and digital transformation? See the full accountancy technology overview.
Why it matters
Data & analytics in accountancy earns its keep when it joins the business together
Partner conversations on profitability, lock-up and client mix depend on data that everyone trusts. When the numbers come from a hand-built spreadsheet, half the meeting goes on whether the numbers are right.
A clean data layer also underpins the AI and automation work coming next. Reconciliation, bookkeeping automation and copilots need data they can read.
What the work covers
What data and analytics looks like in a accountancy business
Practice software reporting joined up
IRIS, CCH, Xero, Sage and others feeding one reporting layer, with definitions agreed once across the partnership.
Utilisation, WIP and recovery
Power BI dashboards on utilisation, WIP age, recovery and lock-up the partners read in the same way.
Client portfolio analytics
Profitability, risk, growth and concentration by client and sector, available without a partner having to ask.
Forecasting and capacity
Resource demand, capacity and forecast modelled from live data instead of busy-season hindsight.
What needs to be in place
The foundations a accountancy data partner expects to see
A platform sized for a practice
Microsoft Fabric or similar, sized for the size of practice rather than enterprise-scale.
Definitions agreed once across partners
Utilisation, recovery, WIP and lock-up defined with the managing partner, ops and finance in the room.
Data hygiene inside practice software
Codes, categories and timesheet discipline tightened so the data has something clean to read.
Reporting ownership inside the practice
Ops or COO owns the numbers, the partner builds and maintains the pipe.
What good looks like
A partner who has done this in accountancy before saves you the first year of learning
A practice-aware data partner starts with the partner conversation, not the platform. They'll get utilisation, WIP and recovery on agreed definitions, replace the spreadsheet pack with Power BI, and let partners argue about strategy instead of numbers.
Partner meetings get sharper, busy season is monitored against forecast rather than hope, and the next AI and automation project has a clean foundation to plug into.
Outcomes you should expect
- One trusted view of utilisation, WIP and recovery
- Partner meetings focused on decisions, not number arguments
- Client portfolio risk and growth visible without ad-hoc work
- A foundation AI and automation can build on
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