Based on your answers for tools your organisation is currently Developing
For tools you scored your organisation 3.8 out of 5
The average score for tools in the benchmark group is 3.1 out of 5
Tools across the sector
Your Current Stage
Developing
Data fully centrally stored in secure digital systems with managed access.
Data held in appropriate databases/CRMs or other technologies accessible by expert users and some non-experts.
People are formally responsible for managing the storage, cleaning and maintenance, security, and backup of all data. Where possible this is becoming routine and/or automated.
Data is collected and automatically stored digitally wherever possible e.g. online forms/apps directly into databases.
An inventory of tools and systems (including hardware, software, licence, passwords and access) is managed and maintained.
Most tools are up to date with support available. Work-arounds are understood and replacements planned for poorer tools.
Advanced tools being used for sophisticated analytics in some parts of the organisation e.g. R, SAS, SPSS, Python.
Some integration is beginning to occur between systems with automated/aligned reporting e.g. basic use of business intelligence tools.
Significant investment is being committed to new tools/integrations across the organisation. Staff time, upgrades, and replacement are being built into annual budgets.
The next stage up for your organisation is
Mastering
Data is drawn from a minimal number of sub-databases and systems and held in singly accessible database e.g. data warehouse.
Capacity is available to store, manage, and analyse increasingly large volumes of data from multiple sources.
The organisation has a robust infrastructure, integrating tools wherever possible.
Analytical infrastructure to support effective decision making is a priority.
All tools are documented and supported (internally and/or externally).
Tools for delivering ‘batch analytics’ and real-time ‘streamed’ data are used.
Advanced analytics and data science tools present throughout the organisation.
Tools able to access and utilise internal and external data directly, for both experts and non-experts.
Automated reporting e.g. through dashboards.
Self-service analytics available both inside the organisation and to some external partners/stakeholders.
Ongoing investment in developing and improving tools, systems and infrastructure to support data and analytics.