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AbcDataStrategyActionPlan2024FINAL

Argyll and Bute Council · 15 August 2024
Back to Policy and Resources Committee — 15 August 2024 and its agenda

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Data Strategy & Action Plan
2024 - 2028

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Data Strategy & Action Plan: 2024-2028
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Introduction  Purpose 
The purpose of this data strategy and action plan is to introduce and advance the council’s new mission
statement for data: 
“To improve outcomes for our residents and communities
through better combination and use of data.” 
This mission closely aligns with two of the council’s “Connect for Success” Change Programme principles: 
Principle 4: data and evidence driven decision making.
Principle 7: maximising opportunities from technology. 
The importance of data and evidence driven decision making in Principle 4 cannot be over-stated.  These are
unprecedented times with local authorities facing signficant, prolonged, funding challenges.  The ability to
focus limited resources in ways that deliver the greatest value and impact has never been more important.  To
do so the council must have an informed understanding of the circumstances, needs and demands of our
residents and communities.  This will require harnessing the data we hold, and combining it with data from the
wider public sector and other sources, so as to have a more complete picture of the lived realities of those we
serve.   
Background 
To achieve the objectives above, the council must lay solid foundations upon which to build a new one-council
approach to data.  This process began in March 2022 with the creation of the council’s new Data Advisory
Group (DAG).  With representation from across the council’s services, the DAG represents a one-council,
service-led forum for data. 
Toward the end of 2022 the DAG planned and prepared the council’s participation, along with several other
local authorities, in the Scottish Government’s Data Maturity Assessment programme which included a staff
survey on data.  The assessment gave a score for data maturity across seven metrics with results summarised
in the following table…

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Data Strategy & Action Plan: 2024-2028
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Data Maturity  Argyll & Bute Council
Data Maturity Assessment Results
(December 2022)
Maturity Metric Score*
Data Assets 3.8
Data Culture 3.8
Data Use 3.7
Data Skills 3.5
Data Leadership 3.4
Data Analysis 3.3
Data Tools 3.3
* Scores rated on a scale from 0 to 5. 
Our scores for these data maturity metrics were very similar to those of other councils.  For example the high
score for “Data Assets” shows that local authorities are commonly “data rich” with many and varied sets of
adminstrative data collected in relation to the operation of council services.  Whereas for tools and analysis all
councils commonly face the challenge of having data split across multiple silos, stored in systems which do not
readily interact with each other, making a one-council approach to analysing and working with data a
significant challenge. 
Where we do score well is on “Data Culture”.  This can be a difficult concept to define but a clear indicator of
data culture is the quality and nature of the conversations that happen within the organisation about data, its
importance, and our responsibility for it.  It is likely we scored comparatively well for this theme due to the
positive influence of the Data Advisory Group which at the time of the assessment had been functioning for six
months and was already encouraging cross-service conversations about data. 
Within the Data Maturity Framework our scores were rated as “Developing” maturity and our aim is to
progress through to the “Mastering” stage with improved scores between 4 and 5.  This is where our data
strategy and action plan will drive change.  To truly succeed in our mission to improve outcomes with data, by
making decisions based on reliable and timely data, we need to harness data as a one-council resource,
unhindered by silos, and with a workforce empowered with the skills they need to gain valuable insights from
data.  Therefore this strategy and action plan will focus on twelve strategic themes below…

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Strategic Themes  Items underlined in the following summary of strategic themes relate to the maturity metrics from the Data
Maturity Assessment above: 
People Empowering our workforce
with data literacy and skills.
 Making available suitable
learning pathways for all
council staff.
Defining data roles and
responsibilities.
 Providing data leadership
and nominated data owners
in each service.
Embedding a strong data
culture.
 Encouraging innovation
through a one-council
approach.
Processes Supporting service
transformation.
 Providing clear insight
and understanding of
service demand and
citizens’ needs.
Embedding good data
governance.
 Ensuring data quality,
standards, security, ethics
and compliance are
maintained at all times.
Supporting workflow and
process automation.
 Reducing unnecessary
effort, data duplication
and manual data
handling.
Shifting from reactive to
predictive service delivery.
 Through trend
monitoring, forecasting &
other proactive analysis.
Maximising council performance
and resource prioritisation.
 Improving collation and
distribution of performance
and benchmarking data.
Broadening open data
sharing.
 Making more datasets
available on the council
website.
Technology Developing the data platform
and associated data
architecture.
 Making shared resources
and data assets available
to services for more
effective data use.
Enabling adoption of PowerBI, AI
and other data tools.
 Creation and use of more
powerful reports and
processes to support
operational and strategic
decision making.
Factoring data features into
line of business systems.
 Working with council
services and Procurement
to ensure new systems
have rich data
capabilities. 
The “Action Plan by Theme” section below aligns with the strategic themes above and outlines specific,
achievable activities for the five year period 2024-2028 to advance our data maturity.  These activities will be
coordinated within the council’s data programme…

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The Data Programme 
The council’s data programme is the combination of groups and resources which together will drive forward the
council’s strategic objectives for data.  The key elements of the data programme are summarised below. 
The Data Advisory Group (DAG) 
Created in March 2022 and chaired by the Head of Customer and Support Services, Jane Fowler, the DAG
includes representatives from across council services and works with the Executive Leadership Team to define
the data requirements for strategic, data-driven, decision making.  The DAG will have a crucial role to play in
delivery of the data strategy action plan deliverables below and so is referred to in many of the specific activities. 
The Data Technical Group (DTG)
Including more data-facing representatives from across council services, the DTG scopes and translates the
DAG’s data requirements into technical specifications for deliverable data products, including PowerBI reports
and dashboards.  In practice there will be multiple short-life working groups within the DTG focussed on
addressing specific requirements, sometimes across multiple services.  Crucially there will always be
representation in the DTG sub-groups from the services who expect to gain value from the new data product
being implemented so as to bring their service-specific subject matter expertise to the solution.  The Legal and
Regulatory team will also be involved, especially on products where there’s any use of personally identifiable
information.  In some cases there may also be involvement from external third-parties who can bring a valued
technical perspective, such as the Improvement Service, Public Health Scotland, etc. 
The Data Product Roadmap 
The roadmap represents the pipeline of data products with delivery dates scheduled through continuous
negotiation between the DAG and DTG.  Together they will agree on priority setting and securing the resources
required to support the development of specific data products, e.g. where costs may be incurred with system
suppliers for essential data feature development, etc.  In this context data products will include not only PowerBI
reports and dashboards, but also solutions for process workflow and automation where the DAG has reviewed
challenge solution proposals from the nominating service(s). 
Microsoft PowerBI 
One of the products in the Microsoft 365 (M365) productivity suite, PowerBI includes some familiar aspects of
Microsoft Excel but with much greater capacity to combine and visualise data from multiple sources.  Since the
council has a long-term plan for the adoption and utilisation of M365 it is expected that PowerBI will form a key
component of the strategy’s one-council approach to data.  However if during the lifetime of this strategy

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The Future 
Microsoft’s commitment to PowerBI changes then there are other similar non-Microsoft products on the market
which can be used instead, such as Tableau, SAP Analytics, and others. 
The Data Platform 
In effect this will be the council’s first implementation of a data warehouse or data lake.  (In essence, the
difference is a data warehouse is designed to apply a high degree of structure and organisation to data when it is
stored, whereas a data lake is designed to accumulate large volumes of data at a more rapid pace with less focus
on organising and structuring the data at the point of collection.)  The Data Platform will be essential to allowing
“democratised” access to data for use in PowerBI report building by services themselves, working within or
along-side the DTG sub-groups. The Data Platform will also allow for access to datasets to be controlled and
managed by a robust permissions framework; ensure consistent application of data quality, ethics and
standards; and enable the FAIR Principles of making data Findable, Accessible, Interoperable and Re-usable. 
In conclusion, the data programme will orchestrate the efforts of the groups and resources above so as to
ensure council priorities are met.  It will also ensure the data products green-lit by the DAG are developed by the
DTG sub-groups and delivered on time in accordance with the data product roadmap by leveraging PowerBI, the
data platform and other suitable data tools and resources.   
The next five years will likely see technological change at an unimaginable pace.  In June 2018, the research
organisation OpenAI first introduced the concept of Generative Pre-trained Transformers (GPTs).  Five years
later, in March 2023, they released GPT-4 which began to fundamentally transform how we as humans interact
with immense volumes of digitised data using natural language.  Just as five years ago few anticipated where
OpenAI’s GPT research might lead, so we expect our own data strategy and action plan will need to be a living
document.  As the front-line of data innovation advances we will keep this strategy and the following action plan
under review, and updates will be made where necessitated by the pace of change around us.

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Action Plan by Theme
People Empowering our workforce with DATA LITERACY & SKILLS
What success will look like:
 Everyone in the organisation will have confidence in their ability to:
 Understand the importance and relevance of the data they help to collect and rely on for their work.
 Suggest new ways in which data can be harnessed to improve service delivery and business outcomes.
 Apply critical thinking to data presented in reports and analysis so as to validate conclusions and recommendations in them. 
 Everyone will have access to skills development resources and learning opportunities to progress through pathways designed to be relevant to
how they use data.
 Decisions taken at every level of the organisation will be informed by critical thinking applied to relevant, timely, reliable data.
WHAT WHY WHO BY WHEN
The corporate training programme will be updated to
include suitable learning opportunities around data.
A key driver of success is ensuring our
employees have the necessary data skills and
knowledge available to them.
Data Programme, 
HROD
April 2024
Pilot adoption of some or all of the data skills
development resources emerging from the Scottish
Government’s public sector Data Transformation
Framework programme through the work being
conducted between Perth & Kinross Council, the
Scottish Digital Academy (SDA) and others. 
A shared need to develop and embed workforce
data skills emerged as a common theme from
the local authorities who, like us, completed
data maturity assessments.  The SDA are
piloting a persona-based data skills curriculum
which, having learning pathways tailored to
local government, could have tangible benefits
for the whole council.
Scottish Government’s
Data Transformation
Framework, 
SDA,
Data Programme,
HROD
December 2024
The Data Advisory Group (DAG) will provide a route
through which council services can raise challenges
arising around data skills so that suitable measures to
address them can be considered.  The Data Programme
will provide an annual report summarising these
emerging requirements to HROD.
A crucial role of the DAG is to act as a one-
council forum for data.  By services discussing
skills requirements and challenges at the DAG,
common themes will emerge which HROD can
take as inputs for planning the skills
development programme.
Data Advisory Group, 
Data Programme,
HROD
April 2024
April 2025
April 2026 
April 2027 
April 2028
Repeat the Data Maturity Assessment from the Scottish
Government’s Data Transformation Framework, after
some of the above measures have been implemented.
To measure progress in the data maturity skills
journey against the 2022 baseline and identify
the next stages of development required.
Data Programme,
Data Advisory Group
Dec 2025

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People Defining DATA ROLES & RESPONSIBILITIES
What success will look like:
 Everyone will understand the importance of data to their work, to the council’s operations, and to positive outcomes for our citizens.
 Everyone will understand their own personal role(s) and responsibilities for data, ranging from ensuring accuracy at point of collection, to
data owners’ authorisation of re-use of data in a safe and compliant manner.
 Processes and procedures agreed and adopted for the compliant and ethical use and management of data will be clearly understood and
consistently adhered to across the organisation.
WHAT WHY WHO BY WHEN
Members of the Data Advisory Group (DAG) will be
provided with an updated Terms of Reference for the
group.
Members of the DAG play an important role in
reviewing, assessing and prioritising data
challenge proposals from services.
Data Programme March 2024
A new Terms of Reference for the Data Technical Group
(DTG) will be produced and shared with participants in
the sub-groups.  This will have a particular focus on the
important role staff involved in DTG sub-groups play in
ensuring appropriate data governance (see related
“Processes” theme).
DTG sub-groups are short-life working groups
established to develop specific data products. 
Some members are fixed (Legal & Regulatory)
while others will engage only as and when
required, so a clear understanding of roles is
especially important for these sub-groups.
Data Programme 
Information
Management 
Steering Group
March 2024
The Argyll and Bute Manager programme will be updated
to promote data and evidence-driven behaviours.
Manager’s behaviours around data will be
important in ensuring the positive impact of
data on service delivery and outcomes.
HROD,
Data Programme,
Data Advisory Group
December 2024
Continued engagement with the Scottish Government’s
public sector Data Transformation Framework
programme for guidance on good practice when defining
roles and responsibilities relevant to the Scottish public
sector and local government in particular.  The Data
Programme will provide an annual report to the DAG
summarising the material emerging from the framework
with recommendations for action/adoption.
From the local authorities who, like us, have
conducted data maturity assessments a
shared need emerged for everyone to
understand their roles and responsibilities in
relation to data.  In absence of such
understanding staff may sometimes assume
data quality, security, compliance, etc., are
someone else’s responsibility.
Scottish Government’s
Data Transformation
Framework, 
Data Programme,
Data Advisory Group
April 2024
April 2025
April 2026 
April 2027 
April 2028
The council’s Data Catalogue will be instituted and will
include the services’ nominated data owners for each
line-of-business system.  
These service data owners will be involved via
the DTG sub-groups when their systems are
deemed relevant to a specific data product.
Data Programme  March 2024

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People Embedding a strong DATA CULTURE
What success will look like:
 We will take a one-council approach to data, with data silos being less of a barrier to how data is used.
 We will work together to identify common challenges and recognise data as a key ingredient to solutions.
 Decision-making will improve as the organisation shifts to recognising the value of data-informed, intelligence-led, decisions.
 Everyone will be empowered to speak up if they see an opportunity to improve data quality, service delivery, or citizen outcomes by using
data differently.
 Employee engagement will increase as staff perspectives on data are respected and their suggestions for using data to innovate recognised.
 Employee satisfaction and retention will increase as those with responsibility for data in their teams will feel less isolated and more valued as
a member of a broad, supportive data community within and beyond the organisation. 
WHAT WHY WHO BY WHEN
The Data Advisory Group (DAG) will seek to
encourage attendance and participation from more
service representatives.
One sign of a strong data culture is the fruitful
conversations that happen within the organisation
and the extent to which those conversations cross
service boundaries.  As the council’s “data forum”
the DAG will seek not only to encourage such
conversations but also translate emerging themes
into actions for change.
Data Advisory Group 
Data Programme 
All Services
All services
having at least
one nominated
representative
on the DAG: 
July 2024
The Data Technical Group (DTG) will democratise
access to the council’s data resources, including
PowerBI and the data platform.  Anyone with an
interest in using these tools for their service’s
priorities will be encouraged to participate in a DTG
sub-group where the sub-group has been tasked
with the evaluation and delivery of a data product
from the DAG’s roadmap relating to their service.
Services don’t rely on others to build Excel
spreadsheets for them, and the aim is for services
to become similarly self-sufficient with PowerBI. 
As well as involving skills development this self-
sufficiency will require hands-on experience.  The
DTG sub-groups will share opportunities to gain
this experience while also allowing staff to
contribute their personal expertise.
Data Technical Group 
Data Programme 
All Services
All services
having had at
least two
representatives
on data product
DTG sub-groups: 
December 2025
The Data Culture will be extended beyond the
council with officers encouraged to engage with
relevant external partners.  DAG will have at least
two presentations per year by external partners with
data expertise to share.
Ideas for impactful innovation can come from
many sources, including through ideas exchange
with external parties on concepts which have been
shown to have worked elsewhere.
Data Advisory Group 
All Services
December 2024
December 2025
December 2026 
December 2027 
December 2028

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Processes Supporting SERVICE TRANSFORMATION
What success will look like:
 The principles of the Scottish Approach to Service Design will be enabled by, amongst other things, having access to relevant data on user
needs and service demand both now and projected into the future.
 Collection and analysis of data about our service users and their needs will be enabled, both by easier access to survey response data, and
through relevant administrative data collected by the council and other public sector agencies.
 Analysis of actual service usage data will allow us to recognise and address common pressure points which present persistent challenges for
effective service delivery.
 Data-driven service transformation will lead to greater consistency across the council’s change programme, where business intelligence
provides for a coherent approach toward the objectives of business process change.
 We will see expansion from the day-to-day operational uses of data, to the more complex analytical use of data for making evidence-led
decisions to support optimised service design and delivery. 
WHAT WHY WHO BY WHEN
The Data Advisory Group (DAG) will encourage
engagement from any service contemplating service
transformation or other specific business process
change exercise.  
The DAG will support services to increase the
likelihood of successful service transformation,
but the drive for change must come from the
services themselves.  With clearly outlined
objectives from the service the DAG and data
programme can then engage with the service to
bring data skills and resources to bear.
Data Advisory Group 
Data Programme 
All Services
Ongoing
The Data Programme will work with HROD to establish
and maintain a reference archive of case studies where
council services have conducted service transformation
exercises, detailing how data was used as a key
ingredient for success in the transformation.
Common themes often emerge from service
transformation exercises: stakeholder
engagement, risk mitigation, cost/benefit
projections, etc.  
Data Programme 
HROD
August 2024
The Data Programme will provide an annual report to
the DAG summarising service transformations which
concluded in the preceding year where data provided a
critical ingredient for the planning and/or successful
delivery of the transformation.
By sharing learning from past successes, and
challenges, each new transformation exercise
builds on the strengths of those before.
Data Advisory Group 
Data Programme 
All Services
April 2024
April 2025
April 2026 
April 2027 
April 2028

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Processes Embedding good DATA GOVERNANCE
What success will look like:
 Data quality, reliability and overall decision-making will be improved with less risk of decisions being taken based on a false
representation/understanding of the situation on the ground.
 We will have greater confidence in the council’s legal and regulatory compliance through a better understanding of how data is being stored
and used.
 Everyone will have a clearer understanding of how decisions are taken to use, re-use and share data, both internally and with partners.  This
will lead to more opportunities being taken to share and re-use data, with protocols in place to do so in a secure and compliant manner.
 Agreed processes and procedures for the storage and handling of data will be adhered to, including a robust and consistent approach to data
standards and the ethical use of data. 
WHAT WHY WHO BY WHEN
The Data Advisory Group will be represented on the
council’s new Information Management Steering Group
(IMSG).  Although the IMSG has no governance role
over the DAG, both groups have a common interest in
good data governance, and so the DAG may sometimes
escalate issues arising with data to the IMSG.
Decisions made by the Data Advisory Group and
the Information Management Steering Group
will be mutually impactful in the context of data
storage, processing and handling and as such
will be taken in concert with each other to
achieve optimal outcomes for the council.
Data Advisory Group,
IM Steering Group,
Data Programme
February 2024
The design and implementation of data products
approved by the Data Advisory Group will be subject to
robust data governance review by the Data Technical
Group, with representation and expertise from the
Legal & Regulatory team where necessary.
While the focus of the DAG will be on using data
to meet the strategic objectives of the council,
the DTG sub-groups will have clearer sight on
the specific data sources required to build the
products and so better able to scope the data
governance implications of (re)using the data.
Data Technical Group 
Legal & Regulatory
Ongoing
Where the DTG discovers development of a data
product approved by the DAG would be blocked,
delayed, or constrained by data quality or reliability
issues, these issues will be escalated to the DAG for
review.  The DAG may in turn escalate them for the
attention of the IMSG.  The DAG will receive an annual
report of issues escalated to the IMSG with a summary
of their current status.
In many cases issues with a dataset will have
been encountered before and be known to the
service.  By raising such issues with the IM
Steering Group a decision can be taken on
whether devoting resources to fix/resolve the
issue is justified, or it’s more prudent to defer a
solution and absorb the opportunity cost to the
council of not being able to fully utilise the data.
Data Advisory Group,
IM Steering Group,
Data Programme
April 2024
April 2025
April 2026 
April 2027 
April 2028

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Processes Supporting WORKFLOW & PROCESS AUTOMATION
What success will look like:
 Increased employee satisfaction as task automation will allow reallocation of staff time away from repetitive data input, collation of routine
returns, etc., to other more interesting and rewarding activities.
 Business processes which are automated will see reduced incidence of errors and increased efficiency.  This will include robust design and testing
to ensure errors don’t become “baked in” to automated processes from the outset.
 Increased productivity, where staff able to leverage automated workflow tools will find they can process a larger number of cases/activities in the
same amount of time.
 For service users, their experience of an automated workflow will often be faster and more consistent. 
WHAT WHY WHO BY WHEN
Services will be encouraged to bring to the Data
Advisory Group (DAG) use-case proposals where the
service has identified opportunities for workflow and
process automation.
Services will know where existing processes are
highly repetitive and/or labour intensive.  By
bringing use-cases to the DAG forum there can be
discussion amongst the DAG’s service and
technology specialists of possible solutions.
Data Advisory Group 
All Services
On-going
Potential use-cases for implementing workflow and
process automation can be treated as special cases of
the data challenge proposals which the DAG reviews.  
A variation of the existing data challenge proposal
submission process will be agreed and adopted.
As with potential PowerBI reports, the potential
effort and impact of use-cases for workflow and
process automation will vary.  That said, the
proposal process must reflect the considerations
for DAG to evaluate are similar but different.
Data Advisory Group,
Data Programme,
ICT Apps Team,
Digital Team
April 2024
The Data Programme will establish and maintain a
reference archive of case studies where council
services have successfully implemented workflow and
process automation projects, and how data was used
as a key ingredient for success in each.
By sharing learning from services’ successful
implementations of workflow and process
automation, each new implementation builds on
the strengths of those which came before.
Data Programme August 2024
Services will be made aware of the broad and evolving
toolkit to which the council has access for
implementing workflow and process automation. 
DAG will receive at least two presentations per year
on the opportunities offered by, and recent successes
of, the workflow and process automation toolkit.
By increasing awareness of tools such as
Microsoft PowerAutomate, Create-RPA (Robotic
Process Automation) and similar tools which
become available over the coming years, services
will be better able to recognise opportunities for
bringing use-cases to the DAG for consideration.
Data Advisory Group 
Data Programme
December 2024 
December 2025 
December 2026 
December 2027 
December 2028

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Processes Shifting from reactive to PROACTIVE SERVICE DELIVERY
What success will look like:
 More of the council’s resources will be focussed on activities that have a proactive, pre-emptive rather than reactive, impact.
 A positive impact on council budgets will come from more focus on preventative maintenance and interventions rather than more costly,
after-the-event, responses.
 Services will be offered to our citizens and communities closer to the time when they need them, rather than after an adverse event or crisis
has already occurred.
 Greater customer satisfaction will stem from a more citizen-centric approach, with a larger proportion of customer interactions relating to
requirements being met rather than missed.
WHAT WHY WHO BY WHEN
Council services will be encouraged to identify
situations in which the focus of some aspects of their
service delivery can be shifted to a more proactive
approach.  These will be packaged for review by the
Data Advisory Group as data challenge proposals for
prioritisation and resourcing.
Services themselves best understand how
resources are spent on service delivery, and
where there are the best opportunities to shift
focus to “upstream” activities to improve service
delivery and outcomes.
All Services 
Data Advisory Group
On-going
Making more data available to council services about
service demand and service delivery; data upon which
predictions can be made both at a high level and
where possible for specific service users.
A proactive approach to service delivery relies on
being able to anticipate events, which in turn
relies on trend analysis and recognising patterns
in past events which may be repeating in real
time, both at service level and in the needs and
circumstances of individual service users.  
Data Programme 
(See themes on the 
“data platform” and 
“data tools” below.)
On-going
Working with partners nationally (e.g. Improvement
Service, PHS, other councils, academia, the private
sector, etc.) to explore opportunities to adopt
predictive models locally which have been proven to
be impactful.  The Data Programme will provide an
annual report to the DAG summarising pro-active
service delivery use-cases which concluded in the
preceding year, acknowledging third-party
involvement where relevant.
As a local authority we have limited resources but
also face challenges which are shared by other
councils.  We will make more progress in
transitioning from reactive to predictive service
delivery if we seek opportunities to learn from
the success of others and then share those
successes internally.
Data Programme 
Data Advisory Group
April 2024
April 2025
April 2026 
April 2027 
April 2028

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Processes Maximising council PERFORMANCE & RESOURCE PRIORITISATION
What success will look like:
 We will be able to proactively use and scrutinise past performance data to improve future performance.
 We will be able to bring performance datasets together and enable linkages to be made across a range of factors affecting performance.
 We will be able to comply with Statutory Performance Information (SPI) Direction requirements.
 Enhanced performance data will be used to identify demands and opportunities to focus council resources on objectives which improve
performance and service outcomes in key areas.
 Stakeholders inside and outside of the council will obtain greater value from performance reporting arrangements, e.g. where the council’s
enhanced data architecture allows for more timely or frequent performance reporting. 
WHAT WHY WHO BY WHEN
Aligning with the Performance Excellence Project
(PEP), identify new ways to provide performance data. 
There will be focus throughout on accuracy,
consistency of template style, accessibility, and
satisfying the requirements of the stakeholders who
use the performance data.
PowerBI and the data platform will provide new,
more effective, options for collating and
distributing performance data.  The PEP will
define the “what” and “why” of performance
reporting while the Data Programme will provide
the technical support and infrastructure to help
deliver on the PEP’s objectives.
Performance Excellence
Project 
Data Programme
August 2024
Transition from performance data collection via Excel
spreadsheets to a more robust data collection
framework based on data interoperability between
the council’s line-of-business systems and the data
platform.  This may in turn lead to opportunities to
increase the frequency of some performance
reporting.
Once established, the data platform will be the
optimum data source for PowerBI reports.
Transitioning performance reports from Excel to
the data platform collecting data directly from
relevant line-of-business systems will reduce the
burden of performance reporting and potentially
increase the timeliness of reporting.
Performance Excellence
Project 
Data Programme 
ICT Apps Team 
December 2025
Transition from current retrospective reporting
against targets to more forward-looking actionable
intelligence and analytics.
Reporting of past performance is useful up to a
point, but to obtain actionable insight for
bringing about change we need to be able to
analyse patterns and trends so as to influence
future performance. 
Performance Excellence
Project 
Data Programme
December 2025

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Processes Broadening OPEN DATA Sharing
What success will look like:
 Members of the public and other interested parties will be able to access specific council open data and information via the council website.
 Time spent by council staff answering questions and responding to information requests will be reduced by channelling more of these
enquiries to the open data published on the website.
 Open data and information on the council website will be published and updated with a high degree of accuracy and minimal administrative
effort through largely automated data extraction and processing directly from line-of-business systems with robust data quality checks.
 Our published open data inventory will compare favourably to the breadth and currency of the open data offered by other Scottish local
authorities of similar size.
WHAT WHY WHO BY WHEN
Identify the types of data and information requests
which are most frequent and/or which take the most
staff effort to answer/fulfil.
A key benefit of publishing open data is to
reduce the burden on council staff to respond
to incoming information requests.
Data Advisory Group March 2024
Benchmark the open data published by other Scottish
local authorities.
Learning from other councils who have derived
benefit from publishing specific open data.
Data Programme May 2024
Create a prioritised list of the target additional open
datasets to be published on the council website.  Taking
into account the relative ease/complexity of
automating the data collection, approval process, etc.
Aiming to find the optimal balance between
targeting datasets for which there will be a clear
demand, while also relatively easy to publish in
a fully or largely automated manner.
Data Advisory Group 
Data Programme
July 2024
Proof of concept: leveraging the new Data Platform,
publish one new open dataset on the council’s website,
to establish the robustness of the automated data
collection, quality checks and approval process.
Aiming to establish a start-to-finish process for
publishing the first open dataset which, if
shown to be successful, can be repeated for
subsequent target datasets.
ICT Apps team 
and the relevant Service
(to which the 
data belongs)
September 2024
Achieve 50% of the open datasets from the target list
being published.  Measuring public access and avoided
manual staff effort to handle diverted enquiries.
A key milestone, although timing may shift if
the target inventory of in-demand open
datasets grows/changes over time.
ICT Apps team and
relevant Services
April 2026
Achieve 80% of the open datasets from the target list
being published.  Measuring public access and avoided
manual staff effort to handle diverted enquiries.
The final 20% likely left to last because those
have minimal benefit from publishing and/or
would be the most difficult to automate.
ICT Apps team and
relevant Services
April 2028
Refresh the annual benchmarking exercise against open
data published by other Scottish local authorities of a
similar size.
So as to ensure maintenance of comparable
status within that group of local authorities and
provide equivalent value to our stakeholders. 
Data Programme Annually from
May 2025

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Technology Delivering the DATA PLATFORM & Related Architecture
What success will look like:
 Services wanting to solve challenges with data will have access to a corporate resource in the data platform which makes it easier for them to
combine their own data with datasets shared by other council services and brought in from trusted external bodies/partners.
 Services wanting to use the enhanced reporting and analysis features of PowerBI but having had limited experience using it will be able to rely
on some of the more complex data cleaning, modelling and transformation tasks being done for them within the data platform, making their
task of creating the PowerBI reports simpler.
 Staff will become less dependent on pulling data out of line-of-business systems into Excel for purpose of processing and manipulating data
(e.g. for repetitive returns) as the data collation and processing will happen on a fully or largely automated basis within the data platform.
 Overall accuracy and reliability of the council’s data will increase as quality control processes become embedded into the data platform
workflows and will alert data owners when discrepancies in data are found automatically.
WHAT WHY WHO BY WHEN
Designing and implementing the target data model (a
logical structure for organising and finding data) to be
embedded in the data platform.
This is a representation of the “things” within
the council’s data (people, places, assets, etc.)
and is essential for building data products.
Data Programme, 
ICT Apps
February 2024
Designing and implementing the robust
access/permissions model to be embedded in the data
platform.
The data platform must simultaneously keep
the council’s data secure while also making it
easy for service staff to share and access.
IM Steering Group, 
ICT Apps
February 2024
Designing and implementing the “data mart”, that is the
part of the data platform which report builders in the
services can see to pull data into their PowerBI reports.
The data platform cannot be entirely
transparent, i.e. data owners in each service will
choose how much or how little of their data to
share via the data mart, and with whom. 
Data Programme, 
ICT Apps
March 2024
Linking the data platform to council line-of-business
systems through a shared data architecture.  This will
be done on an as-needed basis as and when the DAG
approves specific service data challenge proposals.
The aim is to have data arrive and update in the
data platform with little or no manual effort.
But the “pipes” through which data arrives
must be implemented system-by-system.
Data Advisory Group,
Data Technical Group,
ICT Apps
March 2024
Update of the business case for shifting the data
platform from “on premise” to “cloud” hosting. There
are features of Microsoft’s “data fabric” cloud products
which are recognised as potentially useful, if the
significant revenue costs can be justified.
Costs associated with Microsoft “data fabric”
are significant and the cost/benefit business
case was not proven in the September 2022
business case.  Evidence to justify the shift will
be reviewed and the business case updated. 
Data Programme, 
ICT Apps
August 2025

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Technology Enabling the adoption of POWERBI, AI and other data tools.
What success will look like:
 Services will use reports built in PowerBI to monitor operational data in near real-time, so as to be able to intervene in situations where
service delivery metrics are outside of expected tolerances.
 Services will use data analysed and presented in PowerBI to better understand service demand and stress factors affecting service delivery.
 Reports traditionally produced monthly or quarterly will be shifting to more frequent reporting as PowerBI reports, leveraging the data
platform and associated data architecture, will be able to update more frequently with little or no additional administrative effort.
 Services will use more advanced features of PowerBI, such as trend analysis and AI (artificial intelligence) “co-pilot” for plain-English queries to
ask questions of data which would previously have been impossible to answer using Microsoft Excel alone.
 The council will maximise its use of Sharepoint Online to make compliance with retention and disposal policies more effective.
 The council will be able to more powerfully lobby the Scottish Government and others by using PowerBI to tell more effective stories with data
using maps and other visualisations.
WHAT WHY WHO BY WHEN
Services will be encouraged to bring to the Data
Advisory Group (DAG) data challenge proposals where
the service has identified opportunities for PowerBI,
data analytics, or AI to make a positive, impactful
difference to service delivery and outcomes.
By bringing data challenges to the DAG forum
there can be an informed discussion amongst
the DAG’s service and technology specialists of
possible solutions.  The DAG can help determine
prioritisation and allocation of resource,
including any software licenses when required.
Data Advisory Group 
All Services
Ongoing
The Data Programme will establish and maintain a
reference archive accessible to all services of case
studies where council services have successfully
implemented PowerBI, AI or other tools.
Common themes often emerge from
technology projects: risk mitigation,
cost/benefit projections, etc.  By sharing
learning from past successes each new data
product development builds on the strengths of
those which came before.
Data Programme March 2024
The Data Programme will present to the Data Advisory
Group, at least twice per year, updates on potential
uses of emerging technologies such as AI, Large-
language Models, Microsoft Co-pilot, etc.
Opportunities for the council to use new data-
driven technologies are constantly emerging
but require critical, realistic evaluation and risk
assessment and cost/benefit analysis.
Data Advisory Group 
Data Programme
December 2024
December 2025
December 2026 
December 2027 
December 2028

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Technology Factoring DATA FEATURES into line-of-business systems
What success will look like:
 While keeping our data secure, our systems will also make it easier, not harder, to harness our data to for reporting and analysis.
 Our systems will allow for interoperability, i.e. systems can exchange data and use common identifiers, such as Unique Property Reference
Numbers, which make combining and sharing data between systems easier.
 Our systems will allow for recognised local government and statutory data standards to be applied consistently.
 Our systems will allow for portability of our data, i.e. when we change solution supplier for a given system we won’t face unreasonable
hurdles to moving our data to the new system.
WHAT WHY WHO BY WHEN
When data products, e.g. new reports, on the data
programme product roadmap are blocked, or have their
functionality curtailed due to feature limitations of a
line-of-business system, this will trigger a dialogue with
the supplier to try and resolve the constraint.
When the Data Advisory Group has tasked the
Data Technical Group with building a specific
data product, e.g. a PowerBI report, the success
of the product will often depend on its ability to
access data held in line-of-business systems.  
Data Advisory Group
Data Technical Group
ICT
Ongoing
Create a standard set of procurement requirements for
when systems are being implemented or replaced that
reflect the organisation’s need for rich data capabilities
such as support for APIs (application programming
interfaces), query/reporting tools for data extraction,
and interoperability with the council’s data platform.
Such standardised requirements will ensure:
 our requirements for compliance with
accepted local government and statutory
data standards are met,
 our requirements for interoperability and
data extraction are met.
Data Programme 
ICT
June 2024
Engage with system suppliers in their ongoing
development of business applications to encourage
richer data capabilities in their product roadmaps. 
Engagement will be directly through customer user
groups as well as through national bodies such as
SOCITM and Scotland Excel.  The Data Programme will
provide an annual report to the DAG summarising
engagement with suppliers in the preceding year, with
an indication of the outcome and/or current status of
each.
Software suppliers operate in a competitive
market. Since most of our expectations of their
products are similar to those of other local
authorities, collectively we have a better chance
of getting fit-for-purpose systems if we press
suppliers to continually improve their offerings.
For example, requiring systems that support
near realtime connections from PowerBI and/or
the council’s data platform, use of RPA (robotic
process automation) agents, etc.
Data Programme 
ICT
April 2024
April 2025
April 2026 
April 2027 
April 2028

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