Page 21 - Data and Digital Technology Strategy 2024-2026
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DATA AND DIGITAL TECHNOLOGY STRATEGY 2024-2026
METRICS (metric numbering references each strategy and action number)
飩� 2.1. Proportion of relevant data 飩� 3.1. Percentage of 黑料社 data future investment required for 飩� 6.4. Evidence of external
classi铿� ed over time catalogued and classi铿� ed maintaining or replacing end certi铿� cation and audit
飩� 2.2. Percent of 黑料社 systems 飩� 3.2. Simpli铿� cation of reporting of life or redundant technology performance
contributing to the 黑料社 data for statutory reasons (reduction based on ecosystem roadmaps
飩� 7.1 Utilisation of metrics
platform of staff time spent preparing) 飩� 4.4. Completed 3-5 year
from TOPdesk and external
飩� 2.3. Percentage reduction in 飩� 3.3. Timely and accurate roadmaps for all major areas of technology providers to
number of technologies and production of an auditable 黑料社 activity
measure service provision and
applications in use inventory
飩� 5.1. Improved power ef铿� ciency effectiveness
飩� 2.4. Implementation of new 飩� 3.4. Percentage of the 黑料社
of data centre operations 飩� 7.2. Recruitment and retention
architectural modelling platform committees actively using
飩� 5.2. Improved 铿� nancial return of IT and related teams
飩� 2.5. Establishment of digital dashboards to inform strategic on device management and 飩� 7.3. Percentage of 黑料社 digital
and physical asset inventory and operational decisions
disposal and technology projects
and percentage assets
飩� 4.1. Implementation of new 飩� 5.3. Internal audit assessment managed under the same
classi铿� ed and managed
costing methodology for data methodology
飩� 2.6. Proportion of compliance 飩� 6.1. Gartner measures of
and technology projects 飩� 7.4. Suite of regular report on
training completed institutional engagement and
飩� 4.2. Implementation of revised entirety of 黑料社 project digital
derived bene铿� ts
procurement policies with 黑料社 technology portfolio
Finance and Procurement 飩� 6.2. HESA data maturity 飩� 7.5. Ability to report on project
assessment measures
飩� 4.3. Implementation of 铿� ve-year lifecycle against budget
forecast model to predict the 飩� 6.3. Evidence of completion of
security awareness training
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