Data strategy and architecture
Define what information is needed, how it should be organised and how it will move between systems. Establish the relationship between source data, calculations, management indicators and published information.
Data & Decision Systems
Information that can be traced. Decisions that can be supported.
We help organisations turn fragmented data into usable management information, with clear definitions, ownership and evidence behind the numbers.
Our work connects the questions leaders need to answer with the data, processes and systems required to answer them. A dashboard is one possible output; the underlying objective is a reliable decision process.
Data & Decision Systems
Where we can help
Indicator frameworks and definitions
Build a consistent indicator dictionary, with scope, units, calculation rules, data sources and accountable owners. Preserve meaningful differences instead of forcing unlike measures into the same category.
Evidence and data-quality management
Create review workflows, supporting-document links, version histories and exception handling. Define how missing, estimated, corrected and approved information should be distinguished.
Dashboards and performance intelligence
Design views that support specific decisions and review routines. Connect results to targets, trends, responsibilities and actions rather than presenting disconnected charts.
Analytics and decision support
Develop analytical tools for peer comparisons, scenarios, programme reviews and management questions. Make assumptions, limitations and interpretation requirements explicit.
Data integration and workflow
Connect systems, automate appropriate collection steps and reduce repeated manual handling. Build interfaces and controls around the organisation’s actual processes.
One evidence base, several legitimate uses
An engagement can support management reporting, sustainability disclosure, ratings preparation and programme monitoring from a coordinated evidence base. We design reuse where definitions and boundaries align, and retain separate treatments where they do not.
This provides a practical connection between advisory and engineering: the business question determines the indicator, the indicator determines the data requirement, and the requirement determines the system design.
What an engagement can deliver
A data and information diagnostic; a target architecture; an indicator dictionary; an ownership and control model; a data-quality improvement plan; and a dashboard or decision-support application.
Where implementation is included, the scope can extend to pipelines, integrations, evidence repositories, review workflows, documentation and operating support.
Examples of systems we can build
City and institutional performance monitoring
Bring programme indicators, responsibilities, evidence and progress reviews into a coordinated management environment.
Corporate ESG and reporting data
Manage collection, calculations, supporting evidence and review across business units and reporting requirements.
Ratings and assessment readiness
Connect assessment criteria to documents, data owners, improvement actions and a controlled review process.
Executive decision support
Combine management information with relevant analysis so that leaders can examine progress, understand exceptions and assign follow-up actions.
Build around the decisions, not the dashboard.
Tell us which questions are difficult to answer today. We will help identify the information, controls and systems needed to answer them reliably.