Automated Reporting and Analytics

Most finance teams spend month end assembling numbers and almost none of it interpreting them. The work is repetitive, it happens under time pressure, and every manual step is somewhere an error can enter. We automate the collection and reconciliation so the pack builds itself and your team reviews it instead of rebuilding it.

1

Map

What the pack must contain

2

Connect

Reach the source systems

3

Model

Reconciliation logic

4

Build

Packs and dashboards

5

Automate

Schedule and hand over

How We Build It

01

Reporting Requirements Review

We start with the pack you produce today and the questions it is meant to answer. Reports that exist only because somebody once asked for them are identified and retired rather than automated, which is usually the fastest saving available.

02

Data Source Mapping

We establish where each number actually originates and whether it can be reached programmatically. Some systems expose an API, some a database, and some only a scheduled export, which changes the design.

03

Data Model and Reconciliation

The model is where reporting either becomes trustworthy or does not. We build the reconciliation logic explicitly so every figure can be traced back to source, and so a break is flagged rather than absorbed.

04

Pack and Dashboard Build

We build to your existing formats, because a pack the board already knows how to read is adopted faster than a redesigned one. Statutory formats are matched exactly where they are prescribed.

05

Automation and Handover

Scheduling, distribution and the documentation your team needs to run it without us. We hand over the logic and the credentials, not a black box.

What You Receive

Indicative Timeline

A first automated pack usually takes four to eight weeks. The dominant variable is how reachable the source systems are, not how complex the reporting is. Legacy systems without an API can add several weeks.

What We Automate

Automation is applied to the outputs that recur, because those are where the manual effort and the error risk compound.

Management Packs

The monthly board and exco pack, built to your existing format and refreshed on a schedule.

Statutory Reporting

Outputs aligned to annual financial statement and regulatory formats where the layout is prescribed.

Reconciliations

Bank, debtor, creditor and intercompany reconciliations, with breaks flagged rather than buried.

Exception Reporting

Transactions and balances that fall outside expected ranges, surfaced as they occur.

Operational Dashboards

Live views for the people running the business day to day rather than only for month end.

Distribution

Scheduled delivery to the right recipients, with alerting when a source system fails to deliver.

Frequently Asked Questions

Usually. It depends on whether the system exposes an API, a reportable database or at minimum a scheduled export. We establish that during source mapping before committing to a design, rather than discovering a blocker mid build.

Yes, doing different work. Automation removes assembly, not judgement. The team stops keying and reconciling by hand and spends the time on review, variance explanation and the questions the board actually asks.

Every figure traces back to source through documented lineage, so the answer is a drill through rather than an investigation. Reconciliation breaks are flagged automatically instead of quietly absorbed into a balancing figure.

Where the format is prescribed we build to it exactly. AFS aligned outputs and regulatory returns are common requirements and are treated as fixed formats rather than dashboards.

You can, with the documentation and training handed over. Where a source system changes and the feed breaks, we can support it under an ongoing arrangement quoted separately.

Access is scoped to what the reporting needs, credentials are held in the environment rather than in scripts, and every automated action leaves an audit trail. Where personal information is involved, retention and access follow POPIA.

Related Services

This sits inside our Systems Development practice. Related work: Financial and Management Accounting if you would rather we produced the reporting than automated it, and AI Services for forecasting and anomaly detection on the same data.

Discuss automating your reporting