The problem
Data piles up, but nobody uses it
A mid-sized property portfolio manager typically runs 5 to 8 different tools: a lettings management system, a CRM, an accounting package, tracking spreadsheets, an invoicing tool. Each one produces its own exports, in its own formats, according to its own logic.
The result: producing a consolidated report takes time, creates reconciliation errors, and depends on the handful of people who know how to join the Excel files together. Management steers with a two-to-four-week lag on what is actually happening in the field.
Across our deployments, the average delay between a data point being collected and it being available for decision-making is 2 to 3 weeks.With a connected dashboard, that drops to under 24 hours — often to real time.
This is not a problem of data volume. It is an architecture problem: the data is there, it is simply not structured to be read by humans without manual handling.
Dashboard types
Five priority dashboards for real estate
Depending on the profession and the scope of decisions, visualisation needs differ. These are the five dashboard types we deploy most often across the real estate value chain.
Technical stack
What we connect and how
A useful dashboard starts with a reliable connection to the data sources. In real estate, those sources are often heterogeneous: proprietary line-of-business software, poorly documented APIs, Excel files shared on a network drive, manual CSV exports. That is where our work begins.
Beyond the dashboard
From reporting to augmented decisions
A dashboard makes data readable. But the real value arrives when AI starts analysing that data for you: spotting an anomaly in a vacancy rate before you see it, flagging a tenant likely to leave based on their payment history, or automatically drafting the narrative commentary for the board report.
Across our deployments, moving from manual monthly reporting to a connected dashboard with AI narrative cuts the time spent producing reports by 90% — and raises the steering cadence from monthly to weekly, sometimes daily.
What to take away
Where to start
A dashboard project always starts from the same observation: find one recurring decision that takes too long to prepare, or one blind spot that generates errors or delays. That is where the ROI is.
We do not recommend launching a six-month “global data warehouse” programme. We deploy a first dashboard on one precise use case in two to four weeks, measure how it gets used, and extend from there. The value shows up in the first few weeks — not after a full IT transformation.
Map your data potential in 30 minutes
Together we identify the data available, the decisions worth accelerating and the first dashboard to deploy. We bring a mock-up of your own use case to the meeting.