Excel Dashboard Design for Management Reporting Training Course

Duration 5 days 10 modules · 33 contact hours
Level Intermediate Certificate on completion
Who attends Management Accountants, Business Analysts and others
Fee from USD 1,100 KSh 95,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-BI-170

Before you join: Participants should be confident using Excel worksheets, basic formulas, sorting, filtering and simple charts.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Management reporting often depends on workbooks that combine manually copied figures, inconsistent calculations and charts that do not answer management questions. Finance, operations and programme teams need concise dashboards that show performance against plan, explain material variances and allow managers to investigate the drivers behind a result. Well-designed Excel dashboards can provide this reporting discipline without requiring a specialist business intelligence platform.

This course teaches participants to design, build and maintain interactive Excel dashboards for management reporting. Participants structure source data using Excel Tables, prepare repeatable data transformations with Power Query, build calculations with formulas and PivotTables, and create controlled measures through the Excel Data Model. They learn to select charts for trends, variances, composition and performance against targets; use slicers, timelines and conditional formatting appropriately; and present commentary alongside numerical results. The course also addresses data quality checks, refresh processes, workbook performance and controls for recurring reports.

Teaching combines short technical briefings with instructor demonstrations, guided case work and group review of dashboard design decisions. Cases reflect reporting situations such as monthly financial performance, branch operations, procurement spend and programme delivery. Participants develop a reusable management dashboard workbook structure, including a requirements brief, data preparation approach, KPI definitions, dashboard layout and quality-control checklist. Each participant receives a certificate of completion after the five-day instructor-led course, delivered in a classroom or live online.

The course is suited to professionals who already use Excel for reporting and want to replace static report packs with clearer, controlled and refreshable management dashboards.

What you will be able to do

  • Define management reporting requirements using stakeholder questions, KPIs and decision timelines
  • Prepare reporting data using Excel Tables, data validation and Power Query transformations
  • Build repeatable KPI calculations using Excel formulas, PivotTables and Data Model measures
  • Design dashboard layouts using visual hierarchy, chart selection and management-reporting conventions
  • Create interactive dashboards using PivotCharts, slicers, timelines and linked controls
  • Analyse budget variances, trends, exceptions and operational performance drivers
  • Apply dashboard quality checks for reconciliation, refresh control, usability and workbook performance
  • Produce a reusable Excel dashboard specification and reporting maintenance plan

Benefits of attending

For you

  • Build management dashboards without waiting for specialist BI development
  • Replace manual monthly chart updates with refreshable reporting structures
  • Present variance drivers clearly during performance-review meetings
  • Create defensible KPI definitions and calculation logic
  • Develop a portfolio-ready Excel dashboard design artefact

For your organisation

  • Shorter reporting cycles through reusable data preparation and dashboard templates
  • More consistent KPI definitions across finance, operations and programme teams
  • Earlier identification of budget, service and delivery exceptions
  • Reduced spreadsheet error risk through reconciliation and refresh controls
  • Clearer management discussions focused on decisions and performance drivers

Course modules

10 modules over 5 days

Participants can define a dashboard brief linked to management decisions and reporting priorities.

  • Management questions translated into dashboard decisions, measures and required drill paths
  • Audience analysis distinguishes executives, budget holders, operational managers and analysts
  • KPI definition sheets specify formula, owner, frequency, target and source
  • Reporting cadence aligned with monthly close, forecasts and operational review cycles
  • Materiality thresholds set for variance flags, exceptions and management commentary
  • Dashboard brief documents scope, users, decisions, constraints and acceptance criteria

Participants can organise dashboard source data into controlled, analysis-ready Excel structures.

  • Excel Tables establish consistent headers, ranges, calculated columns and structured references
  • Transaction-level data separated from lookup tables, targets and reporting assumptions
  • Data types standardised for dates, currencies, percentages, identifiers and categories
  • Validation lists control user-entered departments, cost centres and reporting periods
  • Unique identifiers checked before joining finance, operational and reference datasets
  • Source-to-report lineage documented through a simple data inventory and map

Participants can create repeatable Power Query steps to clean and combine reporting data.

  • Power Query imports workbook, CSV and folder-based reporting source files
  • Applied Steps record filtering, renaming, type conversion and column selection
  • Merge queries joins actuals, budgets and reference tables using keys
  • Append queries combines monthly files into a controlled reporting history
  • Unpivot transformations reshape cross-tab source reports into analysis-ready records
  • Refresh parameters support period changes and reusable reporting connections

Participants can build transparent calculations for management KPIs and variances.

  • SUMIFS and COUNTIFS calculate controlled measures from structured reporting tables
  • XLOOKUP retrieves targets, classifications and reporting attributes from lookup tables
  • Variance calculations separate absolute, percentage and volume-price performance drivers
  • Date logic supports month-to-date, year-to-date and rolling-period comparisons
  • PivotTables summarise performance by business unit, product, region and period
  • Data Model relationships connect fact tables and dimensions without repeated formulas

Participants can design dashboard pages that guide attention from headline results to drivers.

  • Visual hierarchy positions headline KPIs, trends, exceptions and supporting detail
  • F-pattern reading behaviour informs placement of primary management information
  • Grid-based layout creates alignment, spacing and consistent dashboard proportions
  • KPI cards show current value, target, variance and directional context
  • Progressive disclosure separates executive summary views from diagnostic analysis
  • Wireframes test dashboard structure before charts and formulas are built

Participants can select and format Excel visuals that communicate performance accurately.

  • Line charts show trends, seasonality, forecasts and target trajectories
  • Bar charts compare ranked categories, regions, departments and variance values
  • Waterfall charts explain bridge movements between budget, actual and forecast
  • Bullet charts compare actual performance against target and tolerance ranges
  • Conditional formatting highlights exceptions using thresholds, icons and data bars
  • Chart integrity avoids misleading axes, decorative effects, clutter and false precision

Participants can build interactive Excel dashboards that support focused management analysis.

  • Slicers filter PivotTables and PivotCharts through shared report connections
  • Timelines provide controlled period selection for monthly and quarterly reporting
  • Linked titles display active filters, reporting dates and selected business units
  • Dynamic named ranges support flexible source areas and controlled chart updates
  • Navigation buttons organise summary, financial, operational and detailed dashboard pages
  • User instructions explain refresh steps, filters, definitions and report limitations

Participants can turn dashboard evidence into concise performance explanations and actions.

  • Plan-versus-actual analysis identifies material deviations requiring management attention
  • Trend analysis distinguishes one-off movements from sustained performance changes
  • Driver trees break headline KPIs into volume, price, mix and efficiency factors
  • Exception reporting ranks issues by impact, urgency, ownership and status
  • Commentary structure states result, driver, implication, action and accountable owner
  • Forecast indicators connect current performance signals with expected year-end outcomes

Participants can test dashboard accuracy, control refreshes and maintain usable reporting workbooks.

  • Reconciliation checks compare dashboard totals with approved source report balances
  • Control totals identify missing records, duplicate transactions and failed data joins
  • Refresh checklists confirm source availability, query status and reporting-period selection
  • Formula auditing traces precedents, dependents, errors and inconsistent references
  • Workbook performance improves through efficient formulas, queries and PivotTable design
  • Version control records changes to KPI logic, layouts and source assumptions

Participants can prepare a controlled rollout plan for a recurring management dashboard.

  • Dashboard review criteria assess relevance, readability, accuracy and decision usefulness
  • Stakeholder feedback prioritises changes using effort, impact and reporting risk
  • Publication options compare controlled workbook distribution, PDF extracts and shared folders
  • Role-based responsibilities assign data owners, report preparers, reviewers and approvers
  • Maintenance calendars schedule refreshes, validations, archive copies and KPI reviews
  • Application plans define first dashboard scope, milestones, dependencies and success measures

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Management dashboard requirements brief template
  2. KPI definition and data lineage sheet
  3. Power Query data preparation workflow
  4. Excel dashboard wireframe template
  5. Dashboard quality-control checklist
  6. Recurring reporting implementation plan

Who should attend

  • Management Accountants — need clear monthly performance dashboards for budget holders
  • Business Analysts — need repeatable Excel reporting models from operational data
  • Finance Analysts — need to explain variance, forecast and profitability results
  • Operations Managers — need visible service, productivity and exception indicators
  • Programme Monitoring Officers — need concise delivery and outcome reporting
  • Reporting and MIS Officers — need controlled dashboards that refresh reliably

Skills and tools covered

Dashboard requirements analysisPower Query preparationKPI calculation designExcel data modellingManagement data visualisationReporting quality control

Tools and standards

Microsoft Excel, Power Query, Power Pivot, Excel Data Model

How the course runs

Training methodology

The course uses short instructor briefings followed by demonstrations in Excel and structured case work. Participants analyse reporting requirements, prepare realistic source files, build calculations and compare alternative dashboard layouts. Group exercises examine chart choice, KPI definitions and common reporting failures. Simulated management-review discussions test whether a dashboard answers priority questions quickly. Participants apply the methods to a reporting scenario relevant to their role and finish with an implementation plan for a recurring dashboard.

Requirements and prerequisites

Participants should be confident using Excel worksheets, basic formulas, sorting, filtering and simple charts. They should understand the purpose of common business measures such as actual, budget, forecast, variance, target and percentage change. Experience preparing monthly reports, analysing operational data or supporting management meetings is helpful. Participants do not need VBA, SQL, Power BI, prior Power Query knowledge or advanced statistical skills. The course uses desktop Excel features; participants should have access to a current Microsoft 365 Excel desktop installation where possible.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

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

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

Participants should be comfortable with worksheets, basic formulas, filtering and ordinary charts. Advanced formulas, Power Query, VBA and Power BI experience are not required.

Participants should bring a laptop with a current desktop version of Microsoft Excel where possible. They may also bring a non-confidential sample report or anonymised data structure to inform their application plan.

It suits professionals who prepare, review or use recurring management reports in finance, operations, programme delivery or reporting functions. It is particularly relevant where Excel remains the main reporting tool.

This course focuses on management dashboard design and repeatable reporting in Excel, rather than enterprise BI publishing or advanced automation. It uses Excel features such as Tables, Power Query, PivotTables and the Data Model where they support reporting decisions.

Participants can use the dashboard brief, KPI definition sheet, wireframe and quality checklist to redesign an existing monthly report. The implementation plan helps them set an achievable first release and assign data ownership.

The programme contains ten modules of approximately three contact hours each, with additional time for demonstrations, case work, review and application planning. Training runs from 08:30 to 16:30 each day, providing about 6.5 contact hours daily.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.

Ask on WhatsApp info@skillsetdevelopment.com

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