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Local authority area data profiles: Older peoples pathway (Spring 2020 update) Technical annex: Indicator definitions and constructions Background This document sets out the definitions, data sources,
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How to fill out a data strategy roadmap

01
Identify organizational goals and objectives that the data strategy roadmap will support.
02
Assess current data infrastructure, systems, and processes to understand existing data capabilities and gaps.
03
Define key performance indicators (KPIs) that will be used to measure the success of the data strategy roadmap.
04
Develop a prioritized plan for addressing data-related challenges and opportunities.
05
Establish a governance framework to ensure data quality, security, and compliance throughout the implementation of the roadmap.
06
Monitor progress regularly and make adjustments as needed to stay on track towards achieving the data strategy roadmap objectives.

Who needs a data strategy roadmap?

01
Business executives and leaders who want to leverage data for strategic decision-making.
02
Data and analytics professionals responsible for managing and analyzing data within the organization.
03
IT professionals involved in implementing and maintaining data systems and infrastructure.
04
Organizations looking to improve data quality, accessibility, and decision-making processes.
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A data strategy roadmap is a plan that outlines an organization's approach to managing and utilizing data to achieve business objectives.
All organizations that collect, store, and use data are required to file a data strategy roadmap.
To fill out a data strategy roadmap, organizations need to assess their current data infrastructure, identify their data goals, and develop a plan to achieve those goals.
The purpose of a data strategy roadmap is to guide organizations in leveraging data effectively to drive growth and innovation.
A data strategy roadmap must include details on current data assets, data management practices, data governance policies, and data analytics capabilities.
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