Tools Overview

Your Current Stage

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.