Data & analytics · 2 June 2025 · 4 min
Data governance that improves board decisions
Analytics create value only when they change a decision, a timeline, or a capital allocation. Everything else is decoration.
Saudi institutions are investing heavily in data platforms, BI tools, and reporting layers. Many end up with more charts and less clarity. The problem is rarely storage or visualisation. It is that nobody defined which decisions the data was meant to improve.
A useful analytics agenda starts with the decision calendar of the enterprise — investment committees, pricing forums, project gates, risk reviews — and works backwards to the minimum reliable signals those forums need.
One source of truth for the numbers that matter
When finance, operations, and project controls each maintain a parallel version of ‘progress’ or ‘margin’, debate replaces analysis. Agree definitions, owners, and refresh cadence for a small set of critical metrics before expanding the catalogue.
Leading indicators over rear-view mirrors
Lagging financials confirm what already happened. Boards need earlier signals: pipeline quality, cycle times, defect rates, cash conversion drivers, and concentration risks. Build those first; beautify later.
Governance of data is governance of the firm
Access rights, audit trails, and change control for master data are not IT hygiene — they are control environment. Weak data governance eventually becomes a valuation and diligence issue.
Takamul’s bias is toward fewer metrics, clearer ownership, and analytics tied to capital and delivery decisions. If a dashboard never changes what someone does on Monday morning, it should not consume the programme’s budget.