Business Intelligence Reporting for Business Analysts Training Course

Course overview

Business analysts are often asked to turn operational data into reports that answer management questions, expose performance gaps and support decisions. The challenge is rarely producing a chart; it is defining the correct metric, tracing it to a reliable source, handling incomplete data, and ensuring that different teams interpret the result consistently. Poorly specified reports create rework, competing versions of the truth and decisions based on misleading totals, averages or trends.

This course equips business analysts to design, build and govern decision-ready business intelligence reporting. Participants translate stakeholder questions into report requirements, define KPIs and metric logic, profile source data, write SQL queries, prepare data models and build interactive Power BI reports. They apply dimensional modelling, DAX measures, drill-through design, exception reporting, row-level security concepts and report validation techniques. The emphasis is on creating reporting products that business users can understand, trust and act on.

Instructor-led demonstrations are followed by practical workshops using a realistic sales, service and operations dataset. Participants work through a reporting brief from discovery to publication: documenting requirements, mapping data fields, creating a star schema, building measures and designing a management dashboard. They leave with a reusable BI reporting pack containing a stakeholder requirements template, KPI catalogue, data-quality checks, report wireframe, Power BI dashboard and validation plan.

The course is suited to experienced business analysts, reporting analysts and data-focused professionals who already work with business processes and data but need stronger technical and design capability for BI reporting initiatives.

Course objectives

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

• Elicit BI reporting requirements using stakeholder interviews, decision-use cases and report acceptance criteria
• Define KPIs in a metric catalogue with formulas, grain, source fields, owners and refresh rules
• Profile source data to identify completeness, duplication, validity and reconciliation issues
• Write SQL queries using joins, aggregations, filters and common table expressions to prepare reporting datasets
• Design a star schema with fact tables, dimensions, relationships and appropriate reporting grain
• Create DAX measures for variances, time intelligence, ratios and exception thresholds
• Build an interactive Power BI report with drill-through, slicers, tooltips and accessible visual design
• Validate report outputs against source systems and produce a documented BI reporting release checklist

Benefits of attending

Target competencies

Who should attend

• Business Analysts — who translate stakeholder needs into measurable reporting and dashboard requirements
• Senior Business Analysts — who lead data-led change initiatives and need to challenge metric definitions
• Reporting Analysts — who need a structured method for building trusted management reports
• Data Analysts — who prepare datasets and want to improve report design and stakeholder alignment
• Product Owners — who prioritise analytics requirements and need to define usable reporting outcomes
• Operations Analysts — who monitor service, process or commercial performance through recurring reports

Requirements and prerequisites

Participants should have practical experience of business analysis, reporting, operational data or spreadsheet-based analysis. They should be comfortable reading tables, interpreting basic measures such as totals, averages and percentages, and discussing business processes with stakeholders. Familiarity with Excel formulas, relational data concepts and existing dashboards is helpful. The course assumes no prior Power BI, DAX or SQL programming expertise; these are taught through guided exercises. It is not a database administration, data engineering or advanced statistics course, and participants do not need prior experience building data warehouses or deploying enterprise BI platforms.

Training methodology

The five-day programme combines short instructor-led briefings with guided builds in Power BI Desktop, SQL Server and Excel. Participants analyse a shared business case, interview simulated stakeholders, convert requests into a KPI catalogue and work with imperfect source extracts. Individual exercises develop SQL, data modelling and DAX capability; small groups critique dashboard wireframes and resolve conflicting metric definitions. Each day closes with a practical artefact review. On day five, participants assemble their reporting pack and create an application plan for a current reporting problem in their own organisation.

Course outline

Day 1: From business question to reporting specification

• Decision-focused reporting versus operational extracts
• Stakeholder interview questions for BI discovery
• Business questions, measures, dimensions and reporting grain
• KPI definition templates and metric ownership
• Report user stories and acceptance criteria
• Dashboard wireframes and information hierarchy
• Data lineage and report governance basics

Workshop: Participants turn a management reporting request into a requirements brief, KPI catalogue and dashboard wireframe.

Day 2: Source data assessment and SQL preparation

• Relational tables, primary keys and foreign keys
• Data profiling for nulls, duplicates and invalid values
• SQL SELECT, WHERE, ORDER BY and calculated columns
• INNER JOIN and LEFT JOIN for business reporting
• GROUP BY, HAVING and aggregate calculations
• Common table expressions for staged reporting logic
• Source-to-report reconciliation techniques

Workshop: Participants query sales and service source tables in SQL Server and produce a reconciled reporting dataset with documented data-quality findings.

Day 3: Data modelling for reliable BI reports

• Fact tables, dimension tables and star schema design
• Defining fact table grain before loading data
• Conformed dimensions and shared business definitions
• Date dimensions and reporting calendar choices
• Power BI Desktop data import and Power Query transformations
• Model relationships, filter direction and cardinality
• Model validation using control totals

Workshop: Participants build a Power BI star schema from prepared source data and validate relationship behaviour against agreed control totals.

Day 4: Measures, visual analysis and dashboard interaction

• DAX measure syntax and evaluation context
• CALCULATE, FILTER and DIVIDE for business measures
• Time intelligence for period comparisons and trends
• Variance, target attainment and exception measures
• Choosing visuals for comparison, composition and distribution
• Slicers, drill-through pages, tooltips and bookmarks
• Accessible dashboard layout and visual consistency

Workshop: Participants create a management performance dashboard with DAX measures, variance alerts, drill-through analysis and annotated design choices.

Day 5: Validation, publication and BI reporting governance

• Report testing scenarios and acceptance testing scripts
• Reconciling dashboard measures to source-system totals
• Diagnosing misleading trends and aggregation errors
• Row-level security concepts and audience access
• Refresh schedules, data ownership and change control
• Power BI report publication and workspace roles
• Reporting release checklists and adoption measures

Workshop: Participants present their completed BI reporting pack, test it against stakeholder scenarios and produce a release checklist and workplace application plan.

Tools & standards covered

Microsoft Power BI Desktop, Microsoft Excel, Microsoft SQL Server, DAX

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