Description
Using data to make better decisions. Prevention via early identification and smarter interventions.
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Contexts of Public Data
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The DIKW Pyramid
Rationale
By using data we can form better policies, design better services, monitor our impact, and continually improve.
Implications
Being Data led can be applied to
- Digital Customer
- Providing open data, and performance information, so that our residents are well informed to participate in local decision making.
- Digital Council
- Evidenced based decision making; Transparency, Performance, Proactive Intervention
- Digital Place
- Sharing data and insight across local place partners so that strategies and investments are based on a common evidence base; an API for the County.
- Supporting people and families who would otherwise fall through the gaps.
Tools / Methods / Resources
- A data management strategy.
- A Business Intelligence function
- Design programs so that impact can be measured continuously and incrementally, focusing on outcomes.
- Derive insight by making joins across data, including open data sets.
- Data standards, common terminology
- Data Warehousing
- Use quality real-time or timely data to support rapid decision making and resource allocation.
- Internet of Things (IOT)
- Presenting data in formats that are easy to interpret and act on, such as data visualizations.
Maturity / Check List
- Has data been used to provide evidence?
- Will the proposal generate data that can be used to monitor impact?
- Is insight shared transparently with the public and partners?