A public transport agency held large volumes of traffic data but needed a clear way to use it for planning. We advised on a data analytics strategy from collection to the decision-maker.
A public transport agency held large volumes of traffic data. It needed to use that data for planning, but there was no agreed way to collect it consistently, govern who could use it, or turn it into insight that decision-makers would act on.
We advised on a data analytics framework with four layers, so each one supported the next.
A data analytics strategy covering collection, governance, delivery of insights and evaluation of impact.
An actionable data strategy that gave the agency a common framework for using traffic data in planning.
Data improves decisions only when someone owns it, trusts it and knows how to use it.
It is a plan for how an organisation collects, governs and uses data to make decisions. It covers the data, the rules, the skills and the way insight reaches decision-makers. A good strategy names an owner for each key dataset and links every use of data to a decision someone has to make.
Start with the few decisions that matter most, name an owner for the data behind them, and agree simple rules for quality and sharing. Then check that the people who will use the insight can get it in a form they trust, at the time they need it, before widening the scope.
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