Business Intelligence for Public Sector Performance Management Training Course

Course overview

Public-sector leaders are expected to show how budgets, programmes and services translate into measurable outcomes, yet performance data is often scattered across finance systems, case-management platforms, spreadsheets and operational databases. Analysts must reconcile inconsistent definitions, protect sensitive information, distinguish service demand from service quality, and present evidence that can withstand scrutiny from executives, elected officials, auditors and citizens. This course addresses the practical challenge of turning administrative and operational data into trusted performance intelligence for decisions on resource allocation, service improvement and statutory reporting.

Participants learn to design a public-sector performance measurement model, translate strategic priorities into measurable indicators, and build governed datasets for reporting. The course covers data quality profiling, SQL-based data preparation, dimensional modelling, Power BI data modelling, DAX measures, interactive dashboards, target and variance analysis, geographic and demographic segmentation, and responsible handling of confidential data. Participants also learn how to define KPI metadata, identify misleading measures, document assumptions, and communicate findings without overstating causation or certainty.

Delivery combines instructor demonstrations with hands-on work using a realistic public-service performance case involving budget, demand, case-processing and outcome data. Participants build a performance dashboard and accompanying KPI dictionary, then test it against executive questions, audit requirements and operational-management scenarios. They leave with a reusable public-sector BI workbook structure, dashboard design pattern, data-quality issue log and 90-day implementation plan that can be adapted to their own agency, department or programme.

The course is designed for experienced analysts, performance managers, digital teams and service leaders who already work with public-sector data and need to move from static reporting to governed, decision-ready intelligence.

Course objectives

By the end of this course, participants will be able to:

• Define a public-sector KPI framework linking policy objectives, outputs, outcomes, targets and accountable owners
• Profile administrative datasets to identify completeness, timeliness, duplication and coding-quality issues
• Write SQL queries that join finance, service-demand and operational-performance data for analysis
• Build a star-schema data model with fact tables, dimensions and conformed measures in Power BI
• Create DAX measures for target attainment, period variance, rolling trends and caseload-adjusted rates
• Design an executive performance dashboard using drill-through, exception flags and accessible visual conventions
• Document KPI definitions, data lineage, refresh rules and known limitations in a performance metadata register
• Produce a 90-day BI implementation plan for a priority public-sector service or programme

Benefits of attending

Target competencies

Who should attend

• Public Sector Performance Managers — who must evidence whether services and programmes are meeting stated objectives
• Business Intelligence Analysts — who need to convert operational and administrative data into governed performance reporting
• Policy and Strategy Analysts — who need defensible measures linking policy intent to delivery results
• Data Analysts — who prepare cross-system data for management dashboards and statutory returns
• Programme and Service Managers — who need to diagnose demand, backlog, timeliness and outcome patterns
• Digital, Data and IT Managers — who govern reporting platforms, data models and access to sensitive service information

Requirements and prerequisites

Participants should be comfortable working with tabular data in Excel or a similar spreadsheet tool and understand basic concepts such as rows, fields, filters, sorting, percentages and averages. Prior exposure to performance reporting, service delivery data, budgets or administrative datasets is strongly recommended. Participants should also recognise the purpose of a database table and be willing to write and adapt simple SQL queries during guided exercises. Power BI experience is helpful but not essential; the course introduces the required interface and modelling workflow. Advanced statistics, programming, data science and prior DAX knowledge are not required.

Training methodology

The instructor uses short, focused demonstrations followed by guided builds in Power BI, SQL and Excel-based data-quality templates. A running public-sector case provides finance, demand, case-processing and outcome records with deliberately inconsistent codes, late submissions and ambiguous targets. Participants work individually and in small groups to resolve metric definitions, model the data, construct measures and critique dashboard choices from the perspective of a service director and auditor. The final session converts the case work into an application plan for each participant’s own reporting environment.

Course outline

Day 1: Public-sector performance architecture and trusted measures

• Public value, statutory duties and performance-accountability chains
• Distinguishing inputs, activities, outputs, outcomes and impact measures
• KPI design criteria: relevance, controllability, timeliness and actionability
• Target-setting methods and risks of perverse performance incentives
• KPI metadata fields: owner, formula, source, frequency and limitations
• Administrative-data quality dimensions for public-service reporting
• Performance governance roles, assurance routes and escalation thresholds

Workshop: Participants create a KPI hierarchy and metadata register for a fictional housing-support service, including definitions, owners and target logic.

Day 2: Preparing and governing performance data

• Data profiling for nulls, duplicates, invalid codes and out-of-range values
• SQL SELECT, WHERE, GROUP BY and CASE statements for service-data analysis
• Joining budget, demand, case-management and outcome tables
• Standardising dates, geographic codes and organisational hierarchies
• Creating data-quality rules and exception logs
• Handling personally identifiable information and role-based data access
• Data lineage documentation from source system to published KPI

Workshop: Participants use SQL and a data-quality log to prepare a joined service-performance dataset and document the issues requiring owner action.

Day 3: Building the public-sector BI data model

• Star-schema design for periodic performance reporting
• Fact tables, dimension tables and grain in service-delivery datasets
• Date dimensions, fiscal calendars and reporting-period alignment
• Power BI Power Query transformations and query-folding considerations
• Relationships, filter direction and conformed dimensions
• DAX measures for actuals, targets, variance and percentage change
• Rate calculations, denominators and caseload-adjusted comparisons

Workshop: Participants build a Power BI semantic model and create validated DAX measures for timeliness, backlog, expenditure and target attainment.

Day 4: Dashboards for decisions, scrutiny and service improvement

• Executive dashboard information hierarchy and decision-focused layout
• Power BI visuals for trends, variance, distribution and service geography
• Drill-through pages, report tooltips and decomposition-tree analysis
• Exception reporting using conditional formatting and threshold bands
• Disaggregating performance by location, cohort and service channel
• Accessible dashboard design: colour contrast, labels and plain-language titles
• Avoiding misleading comparisons, false precision and unsupported causal claims

Workshop: Participants produce an interactive executive dashboard for the case service and conduct a peer review against a director’s decision brief.

Day 5: Embedding BI in performance-management practice

• Monthly performance-review agendas and exception-based management
• Root-cause analysis using segmentation, trends and operational context
• Balancing outcome, equity, efficiency and compliance measures
• Dashboard release controls, refresh schedules and version management
• Audit trails, evidence packs and reproducible reporting procedures
• Stakeholder adoption planning for executives, managers and frontline teams
• Prioritising a 90-day BI delivery roadmap and measurable adoption milestones

Workshop: Participants present their dashboard, KPI dictionary, data-quality log and 90-day implementation plan in a simulated public-sector performance review.

Tools & standards covered

Microsoft Power BI Desktop, Microsoft SQL Server, Microsoft Excel, DAMA-DMBOK

A typical training day

Live online deliveries follow the same structure in the East Africa Time zone, with shorter screen blocks and longer breaks.

What the fee includes

How you can take this course

Certification

Participants who complete the full five days receive the Skillset Development Certificate of Completion, stating the course title, course code, dates and delivery format — suitable for professional-development records and employer reimbursement.

Frequently asked questions