Based on your answers for data your organisation is currently Developing
For data you scored your organisation 3.7 out of 5
The average score for data in the benchmark group is 3.4 out of 5
Data across the sector
Your Current Stage
Developing
Data requirements defined and consistently collected via a range of methods.
Investment in staff training to ensure consistency and quality of data collection.
Tests and refines how relevant, meaningful, and necessary its data is.
Focuses on collecting the right data for clearly specified purposes.
Data is monitored for quality including completeness, accuracy, and validity. Tools and systems exist for cleaning and maintenance.
Richer data collection with more integration/alignment between systems reduces duplication, inefficiency and error.
Data sharing internally is becoming the norm.
Occasional commissioning of independent research and evaluation.
Extensive use of externally available research and evidence around needs and successful interventions.
Open datasets are occasionally used.
Exploring shared measures and benchmarks with other organisations.
Recorded list of all data assets, whether they include personal/sensitive data, and assigned responsibility.
The next stage up for your organisation is
Mastering
Focuses effort on collecting the minimal amount of the most important and valuable data.
Staff are trained in data collection and collection is automated where possible.
Knows all its data is relevant, meaningful and necessary.
Monitors and fully understands the quality of the data it holds and hence has high levels of confidence and trust in its data.
Data is versatile and re-usable for multiple purposes and audiences.
Invests in resources to collect, clean, maintain, and manage data well across the organisation.
Shares data internally from different teams, departments and services.
Compares its data with other organisations through shared measures and benchmarks.
Uses publicly available external research (e.g. government/academic) and may contribute to this.
Regular use of valuable open/public data sets.
Commissions external independent research and evaluation.
Maintains full inventory of data assets across the whole organisation with clearly defined variables, ownership, review periods, and development plans for each.