Financial analysis and reporting

Your monthly report takes too much time.

Your CSV or Excel exports become a dashboard built around your reporting metrics. With a consistent format, processing can be automated to refresh your reports with each new submission.

Weekly report example

The management briefing

Three topics to prepare for your meeting.

Cash to watch
$80,000
Expected balance at the end of the week
Last completed week
30%
Contribution before overhead
Group overview
$30,000
The same external customer across two entities

To review with your team

A $12,000 payment has been announced. The bank deposit still needs to be confirmed.

Before the monthly meeting

The report is ready. The data has already aged.

Preparing for a leadership meeting or building an executive overview starts with bringing the data together, reconciling differences and rebuilding the presentation.

When your system cannot produce the report you need, you start working in Excel. That makes sense: every business has its own perspective. But assembling the data and making it presentable becomes repetitive work.

Make time for analysis and decisions.

Finaxis handles assembling and presenting the data you provide. Your team can focus on differences and decisions, then refresh the report closer to the meeting according to the sources available.

Two ways to prepare for the meeting

An example of manual preparation

Monday’s data, presented on Friday.

  1. Monday

    Extract the data

    In this example, four accounting systems provide files to combine with production and distribution data.

  2. Tuesday and Wednesday

    Reconcile and format

    Starting with Monday’s exports, preparation takes three working days in total: matching records, checking formulas, reviewing differences and formatting the report.

  3. Thursday

    Review with leadership

    The presentation is ready for review, but the underlying data is still Monday’s extract.

  4. Friday

    Present to the board

    You present Monday’s picture even though newer data could have been available since Thursday.

From your data to an executive report

A clear report for your next meeting.

The dashboard brings your reporting metrics together; the executive report presents results, changes and items to check. Explore a weekly example below, with its dated sources.

The management briefing

Projection for October 5 to October 11

How much should be in the bank at the end of the week?

Projected cash at the end of the week

$80,000

Recorded cash as of October 4
$86,000
Expected receipts
+$64,000
Planned outflows
−$70,000
Expected closing balance
$80,000

Payment notice to verify

$12,000

This payment is excluded from the bank balance and the $64,000 expected until it has been checked.

Expected receipts are based on due dates and payment history. Planned payments include suppliers and payroll. These are forecasts, not completed transactions.

What stands out

The balance is expected to fall this week.

With $64,000 in expected receipts and $70,000 in planned payments, the balance would go from $86,000 to $80,000. The announced payment still needs to be checked.

What to check

Check when money is expected to come in and payments are due before committing to a new expense.

Source files

  • Bank · CSV
  • Invoices and payments · CSV
  • Payables · CSV
  • Payroll · CSV

All exports are dated the same day. Supplier payment dates and payroll dates are confirmed for this example.

Last completed week · September 28 to October 4

How much is left after direct costs?

Contribution before overhead

$54,000

Recorded revenue
$180,000
Allocated direct costs
$126,000
Contribution
$54,000

30%

Of the week’s revenue

$180,000 − $126,000 = $54,000

Direct costs include wages, employer costs and other expenses directly tied to this activity. Overhead is not included, so this amount is not net profit.

What stands out

$54,000 remains before overhead.

After direct costs, 30% of the week’s revenue remains. Compare this result with other activities using the same calculation rules.

What to check

Check the costs assigned to each activity before reviewing prices or how work is allocated.

Source files

  • General ledger · CSV
  • Time and allocations · CSV
  • Payroll · CSV

Revenue, hours and costs cover the same week. The cost allocation has been reviewed with the team.

Customer balances as of October 4

How much does this customer owe the group?

Total receivable from the same external customer

$30,000

Demo Customer

Same customer confirmed in both systems

Entity A

$12,000

Entity B

$18,000

Total receivable

$30,000

$12,000 + $18,000 = $30,000

Balances are in dollars, share the same date and belong to an external customer. This management view is not a set of consolidated financial statements.

What stands out

This customer owes the group $30,000.

They owe Entity A $12,000 and Entity B $18,000. Both records have been checked: they belong to the same customer.

What to check

Use the total amount owed when agreeing on payment terms and coordinating follow-ups between the two teams.

Source files

  • Entity A · receivables
  • Entity B · receivables
  • Customer matching table

The invoices are distinct and in the same currency. Amounts owed between companies in the group are excluded.

Weekly example. Your report is tailored to the period you choose.

Your monthly report, ready for discussion.

Present results and items to validate to leadership or the board. The dashboard provides a basis for the discussion so you can agree on actions and follow-ups.

Based on available data

What can we analyze with your data?

Identify differences, compare activities and prepare your next decisions. Analyses are tailored to your business questions and the data available.

Do bank transactions match your accounting records?

Identify unmatched payments, fees and timing differences that explain a gap between your bank and accounting records. Proposed matches still need review; a deposit notice is not bank confirmation.

What explains changes in your expenses?

See which categories, suppliers or activities explain an increase. Distinguish recurring expenses from one-time changes and compare them with your budget to focus your review.

What does the picture look like by customer, activity or entity?

Compare revenue and receivables by customer, activity or entity. A combined view helps identify concentrations and coordinate follow-ups across entities, after customer matching, currencies and internal transactions have been checked.

What do your activities contribute after direct costs?

Compare what each activity or team contributes after direct costs to inform pricing or allocation decisions. We agree with you on the revenue and costs included; contribution before overhead remains distinct from net profit.

What can you anticipate over the coming weeks?

See periods when expected receipts might fall short of planned payments. Compare cash scenarios before committing to a new expense, with visible assumptions and expected amounts kept separate from recorded transactions.

Invoice age or days overdue?

Distinguish an old invoice from one that is actually overdue to adapt your follow-ups. Choose the invoice date or due date as the reference, along with aging buckets and the report date.

As of October 5, 2026

Issued June 6 · Due September 4

Since the invoice date
121 days
Since the due date
31 days

Guided implementation

From your first export to the next updates.

You do not need to change tools to get started. We work from your files and existing calculations, then arrange updates around your use case.

01

Send your usual exports

Send us your CSV or Excel exports and the metrics you track. We check the file structure, periods covered and data available.

The files needed for your first dashboard.

02

Build your dashboard

Together, we define calculations, views and presentation. Your team checks the first result against your data.

Your metrics, reviewed with your team.

03

Automate export processing

When the format stays consistent, we automate processing of new files to update the dashboard. You continue providing exports at the agreed frequency.

The same rules applied to updated data.

Your data, even across several tools

Which files should you send us?

Start with the Excel or CSV exports you already use. Together, we choose the files needed for your first dashboard; you do not need to gather every source listed here.

Data already in Finaxis can also feed your dashboard: invoices and payments from accounts receivable, and activities tracked in the operations suite.

Accounting

General ledger and trial balance for the selected period. Invoices, credits and payments if your question involves accounts receivable.

Banking

Bank transactions and balances in CSV. PDF statements if their contents can be extracted; include the date of each statement.

Time, payroll and operations

Hours and assignments by activity, project or team; related revenue, payroll with employer costs and other direct costs, based on the selected metrics.

Budgets and orders

Budget, supplier due dates, planned payroll and confirmed orders. For CRM opportunities, include expected dates and assumptions.

Getting started

Your questions about getting started.

Which files should we start with?

Start with the file you already use for tracking and an example of your calculations. We check what it can show and any missing data before building the first dashboard.

Do all my tools need to be connected before we start?

No. Your CSV or Excel exports may be enough to get started. If your use case later calls for a direct connection, we check feasibility with your sources. It can enable more frequent updates, up to real time where the source allows it.

How is the dashboard updated?

With each new file submission, at the frequency agreed with you. When the format stays consistent, we can automate calculations and updates. You provide new exports; the dashboard and report structure are reused.

Does an analysis automatically trigger a decision?

Your team validates calculations and assumptions during setup, then reviews differences and proposals. Automating file processing does not replace your approval of decisions and actions.

Which report takes too much time each month?

Bring an export you already use and an example of your report. Let’s see which dashboard would help and how to reuse your calculations for the next updates.

Illustrations use fictional data. Reports, data matching and scenarios are built around the available data and format and reviewed with your team. Connections and update frequency are confirmed for each implementation.