Transforming Decision Making with Real Time Dashboards for a Large Public Sector Organisation

Transforming Decision Making with Real Time Dashboards for a Large Public Sector Organisation

Executive Summary

This case study demonstrates how A&A Digital Tech , a specialist consultancy, empowered a large public sector organisation to revolutionize its decision-making through real-time dashboards built upon a Unified Data Layer (UDL). By democratizing data access, reducing shadow IT, accelerating insight generation, and enhancing security, A&A Digital Tech enabled the agency to optimize its operations and, in a forward-thinking move, is laying the groundwork for intelligent workforce planning capabilities.

Self-Service Analytics and Future Workforce Planning

A&A Digital Tech designed and implemented a self-service analytics environment within the UDL, granting business analysts the power to create and access real-time dashboards with minimal technical overhead. Looking ahead, the UDL is being strategically extended to enable real-time workforce planning, dynamically adjusting resources based on current demand.

Overcoming Data Access Bottlenecks, Shadow IT, and Planning Inefficiencies

The organisation previously struggled with:
๐Ÿ”„ย Data Access Delaysย โ€“ Analysts waited up to 5 hours for data availability.
๐Ÿ“Šย Reliance on Shadow ITย โ€“ Excel spreadsheets and Access databases thrived due to data bottlenecks, introducing governance issues.
๐Ÿ”ย Security Concernsย โ€“ Uncontrolled data access via shadow IT posed risks.
๐Ÿง ย Limited Analytical Capabilitiesย โ€“ The lack of a unified platform hindered comprehensive insight.
โš™๏ธย Inefficient Resource Allocationย โ€“ The lack of real-time performance data made it impossible to optimise case worker assignments within the day.
๐Ÿ“‰ย Lack of Productivity Insightsย โ€“ No system in place to create business reports or provide insight into teamsโ€™ production levels.

A Strategic Empowerment and Optimisation Initiative

The initiative was launched in phases: first, to empower users with self-service analytics, followed by extending the UDL to enable data-driven workforce planning. The vision was to build a continuous feedback loop, where insights inform real-time adjustments and long-term resource strategies.

ย A Secure and Usable Azure Environment

The UDL resides on Microsoft Azure, with key aspects being:
๐Ÿ”‘ย Secure Authenticationย โ€“ Multi-Factor Authentication (MFA) and Azure AD for robust identity management.
๐Ÿงฉย Usability and Security Balanceย โ€“ A user-friendly interface combined with data masking, anonymisation, and RBAC.
โฑ๏ธย Real-Time Data Feedsย โ€“ Capability to consume and act on real-time data.
๐Ÿ“ฆย Workforce Planning Integrationย โ€“ Integration capability with workflow systems for intra-day decisions.

Solution:ย 

A&A Digital Tech’s methodology involved:
๐ŸŽฏย User-Centred Analytics Environment Designย โ€“ Dashboards created in close collaboration with business users.
๐Ÿ”’ย Securing Data Accessย โ€“ Implemented RBAC, MFA, and Azure AD integration.
๐Ÿงฌย Data Curation and Governanceย โ€“ Ensured quality, integrity, and compliance.
๐Ÿ“šย Training and Supportย โ€“ Delivered training to empower users to utilise the UDL effectively.
๐Ÿ”ย Workforce Planning Extensionย โ€“ Developed real-time data feeds to workflow systems, enabling dynamic resource allocation.
๐Ÿ“ˆย Anonymised Team Productivityย โ€“ Delivered analytics that visualise productivity and expose anonymised insights.

Outcome:

Real-Time Insights, Reduced Shadow IT, Improved Security, and Optimized Workforce Allocation

โšกย Faster Data Accessย โ€“ From 5 hours to under 1 minute.
๐Ÿ›‘ย Reduced Shadow ITย โ€“ Centralised governance and access.
๐Ÿ”ย Enhanced Securityย โ€“ Robust controls minimised risk.
๐Ÿ“Šย Increased Analytical Capabilitiesย โ€“ Enabled timely and informed decisions.
๐Ÿ”„ย Workforce Planning Readinessย โ€“ Real-time stats feed workforce systems.

Future Directions:ย 

The next phase of the UDL implementation will empower the organisation to:

๐Ÿค–ย Automate Workforce Planningย โ€“ Identify and resolve intra-day bottlenecks automatically.
๐Ÿ“ˆย Drive Team Productivityย โ€“ Leverage anonymised data to increase team output and highlight constraints.
โš–๏ธย Identify Capacity Planning Issuesย โ€“ Use anonymised insights to assess satisfaction and optimise role fit.

Conclusion: Data-Driven Insights & Resource Optimization

This case study shows how A&A Digital Tech provides a path for public sector organisations to unlock value, democratise data, and ensure success. A&A Digital Tech can assist you with everything from architecture to security to usability, driving better results for people.

ยฉ2025 A A Digital Tech. All rights reserved