The 60% Problem
In a time study of a regional finance team in the Middle East, we found that 72% of the team's working time was spent on activities that fell into one category: collecting data, moving data, and formatting data into reports. Not analysing it. Not using it to make decisions. Collecting, moving, and formatting.
This is not unusual. It's the base state of finance teams that have grown without investing in data infrastructure. Each business unit submits data in its own format. Finance consolidates it manually. Reports are built in Excel and formatted for each audience separately. When something changes — a restatement, a new cut of the data — the process runs again.
Figure 11: Finance team time allocation — manual reporting vs value-adding work, before vs after
The Alteryx and Power BI Build
The automation build had two layers. The data layer — built in Alteryx — handled all of the extraction, transformation, and loading work. Feeds from the ERP, the subsidiary systems, the banking platform, and the HR system were automated and scheduled. Alteryx workflows validated the data on arrival, flagged anomalies for human review, and pushed clean data to a centralised analytical layer.
The reporting layer — Power BI — connected to that centralised layer and produced all standard reports automatically. Management packs, board decks, business unit variance reports, and KPI dashboards refreshed automatically when the data layer updated. No manual Excel. No copy-paste between systems. When an executive asked for a different cut of the data, the Power BI model had it — not in two days, but in minutes.
The result was a 60% reduction in manual reporting time. The team did not shrink — but the 60% of time recovered was redirected to analysis, business partnering, and strategic support. The finance director described it as finally having a finance team instead of a reporting team.
The DIFC Context: Why This Is Urgent Now
DIFC (Dubai International Financial Centre) and ADGM (Abu Dhabi Global Market) are increasingly the base for regional holding structures, fund structures, and international businesses operating in the Gulf. These structures require reporting to multiple stakeholders — local regulators, international investors, group finance — often in different formats and on different timelines.
A manual reporting infrastructure cannot scale to meet these requirements without proportionally scaling headcount. An automated one can serve multiple stakeholder reporting requirements from a single data layer with minimal additional effort. For businesses intending to grow in the Gulf market and access international capital, this infrastructure is not a nice-to-have. It's a precondition.