Operational Dashboards Using Excel Training Course

Duration 5 days 10 modules · 33 contact hours
Level Intermediate Certificate on completion
Who attends Business Intelligence Analysts, Reporting 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-189

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

Operational teams need timely, trusted reporting to manage service levels, backlogs, production output, customer demand, budgets and exceptions. Yet many Excel reports remain static, manually assembled and difficult to refresh. Decision-makers receive too many figures without clear indicators, targets, trends or drill-down paths. This course focuses on building operational dashboards that turn recurring source data into controlled, decision-focused Excel reporting.

Participants learn how to define useful KPIs, structure operational data, prepare repeatable queries and build data models that support reliable analysis. The course covers Excel Tables, Power Query, Power Pivot, DAX measures, PivotTables, dynamic formulas, slicers, conditional formatting and chart selection. Participants design dashboard layouts for executives and operational managers, apply target and exception logic, and create reporting views that move from summary indicators to underlying transactions.

Teaching combines instructor demonstrations, short technical briefings, case-based dashboard builds, peer review and simulated reporting requests. Cases reflect common reporting needs in banking operations, public services, supply chains, customer service centres and programme delivery. Participants leave with a reusable operational dashboard blueprint, KPI definition sheet, data-quality control checklist and personal implementation plan for a dashboard relevant to their role.

The course suits analysts, reporting specialists, operational managers and business users who already work with Excel and need to produce more reliable management reporting. It is particularly relevant where recurring reports depend on multiple extracts, manual consolidation or inconsistent metric definitions.

What you will be able to do

  • Define operational KPIs using metric definitions, targets, tolerances and ownership rules
  • Structure source data using Excel Tables, dimensional modelling and data dictionaries
  • Prepare repeatable reporting datasets using Power Query transformations and refresh parameters
  • Build Excel Data Models with relationships, measures and DAX calculations
  • Create controlled calculations using structured references, lookup functions and dynamic arrays
  • Develop interactive reporting views with PivotTables, slicers, timelines and PivotCharts
  • Design operational dashboards using chart-selection principles, RAG rules and visual hierarchy
  • Implement dashboard controls for reconciliation, refresh, protection, versioning and release management

Benefits of attending

For you

  • Produce refreshable operational dashboards instead of manually rebuilt monthly reports
  • Build KPI measures with documented definitions, targets and exception thresholds
  • Diagnose data-quality problems before they reach management reporting
  • Present trends, variances and operational exceptions with appropriate Excel visuals
  • Create an implementation plan for a workplace dashboard release

For your organisation

  • Reduces manual consolidation effort across recurring operational reports
  • Improves consistency of KPI definitions across departments and reporting cycles
  • Provides earlier visibility of service failures, backlog growth and target breaches
  • Creates auditable controls for source data, refresh status and report versions
  • Improves decision meetings through focused views of exceptions and performance drivers

Course modules

10 modules over 5 days

Participants can define dashboard requirements and specify operational KPIs with clear ownership and action rules.

  • Operational decisions translated into dashboard questions, users, cadences and actions
  • KPI definitions using numerator, denominator, unit, owner, target and threshold
  • Leading, lagging and diagnostic indicators distinguished through operational decision scenarios
  • Metric hierarchies linking enterprise goals, service levels and frontline measures
  • RAG status rules specified with tolerances, escalation paths and refresh timing
  • Dashboard requirements documented through stakeholder interviews and metric-definition sheets
  • Information design principles applied to screen space, attention and comparison

Participants can assess source extracts and organise data structures suitable for reliable dashboard reporting.

  • Source-system extracts assessed for grain, keys, dates, refresh and ownership
  • Tabular data structures built with Excel Tables and consistent field names
  • Data dictionaries record field definitions, valid values, transformations and business rules
  • Fact and dimension tables separated using dimensional modelling conventions
  • Unique identifiers tested for duplicates, missing values and referential integrity
  • Date tables designed for calendar, fiscal period and working-day analysis
  • Refresh dependencies mapped from source extraction to published dashboard outputs

Participants can create repeatable Power Query processes that clean, combine and prepare reporting data.

  • Power Query connections created from workbooks, CSV files and folder sources
  • Applied Steps used to filter, rename, type and reorder fields
  • Merge and Append queries combine related extracts using defined keys
  • Unpivot transformations convert cross-tab reports into analysis-ready columns
  • Error values, nulls and inconsistent categories treated through repeatable rules
  • Query parameters control file paths, reporting periods and refresh settings
  • Data quality checks surfaced before loading tables to the workbook

Participants can build an Excel Data Model and calculate operational measures using DAX.

  • Power Pivot Data Model built from related fact and dimension tables
  • One-to-many relationships configured with verified keys and filter directions
  • Measures distinguished from calculated columns through aggregation and context
  • DAX measures calculate totals, ratios, variances and percentage change
  • CALCULATE and filter context applied to period, region and product analysis
  • Time-intelligence measures compare month-to-date, year-to-date and prior periods
  • Measure names, formats and descriptions standardised for report reuse

Participants can create maintainable Excel calculations for dashboard metrics and reference data.

  • Structured references replace fragile cell ranges in dashboard calculations
  • XLOOKUP, INDEX-MATCH and XMATCH retrieve controlled reference values
  • SUMIFS and COUNTIFS calculate filtered operational metrics by selected dimensions
  • Dynamic arrays use FILTER, SORT, UNIQUE and SEQUENCE functions
  • IFERROR and data-validation rules prevent misleading exceptions and invalid inputs
  • Named formulas isolate assumptions, targets and reusable calculation logic
  • Formula auditing traces precedents, dependents and calculation errors efficiently

Participants can build interactive PivotTable reporting views that support controlled exploration of operational data.

  • PivotTables summarise operational records by time, location, product and owner
  • Slicers and timelines provide controlled filtering for business users
  • PivotCharts link aggregates to visual summaries without duplicate calculations
  • GETPIVOTDATA retrieves stable values from filtered PivotTable results
  • Report connections synchronise slicers across multiple PivotTables and charts
  • Drill-through paths expose underlying transactions behind aggregated KPI values
  • Refresh settings preserve filters, layouts and data-source connections

Participants can select and configure dashboard visuals that communicate trends, comparisons and exceptions clearly.

  • Chart selection matches comparison, trend, composition, distribution and relationship questions
  • Bullet charts compare actual results against target and tolerance bands
  • Run charts reveal variation, shifts and trends over time
  • Conditional formatting highlights exceptions using icon sets, data bars and formulas
  • Small multiples compare locations or services without overloading a single chart
  • Titles, labels and annotations state decision-relevant messages and measurement periods
  • Colour palettes distinguish status categories while meeting accessibility requirements

Participants can assemble usable Excel dashboards with controlled inputs, navigation and presentation layers.

  • Dashboard wireframes organise executive summary, diagnostics and detail views
  • Grid layouts establish alignment, hierarchy, whitespace and consistent navigation
  • Form controls and data validation manage user-selected parameters safely
  • Dynamic titles reflect selected period, unit, scenario and data refresh
  • Camera tool and linked pictures assemble presentation layers without copied values
  • Freeze panes, sheet protection and navigation links support controlled use
  • Print areas and page layouts prepare briefings and PDF distribution

Participants can apply controls that protect dashboard accuracy, traceability and accountable use.

  • Reconciliation checks compare dashboard totals against approved source reports
  • Control totals identify missing records, duplicate loads and unexpected variances
  • Exception thresholds separate normal variation from operational intervention triggers
  • Refresh logs record source date, query status and publication time
  • Workbook protection assigns editable inputs, locked formulas and hidden workings
  • Version-control conventions manage file names, release dates and change records
  • Metric ownership matrix assigns definition approval, data stewardship and action

Participants can prepare an Excel dashboard for controlled deployment and plan their first workplace release.

  • Performance diagnostics reduce volatile formulas, excessive formats and redundant calculations
  • Calculation settings and query loads configured for reliable refresh performance
  • User acceptance criteria test accuracy, usability, filters and exception visibility
  • Distribution options assessed for shared drives, Teams and controlled email outputs
  • Dashboard operating procedures define refresh roles, review cadence and escalation
  • Feedback loops prioritise metric changes, layout revisions and data improvements
  • Personal application plan specifies dashboard scope, stakeholders and first release

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

What you take back to work

  1. Operational dashboard requirements template
  2. KPI definition and ownership sheet
  3. Power Query transformation pattern library
  4. Excel dashboard wireframe model
  5. Dashboard data-quality control checklist
  6. Dashboard release and refresh plan

Who should attend

  • Business Intelligence Analysts — need repeatable Excel dashboards from operational source data
  • Reporting Analysts — need to replace manual report consolidation with controlled refresh processes
  • Operations Managers — need actionable KPI views for service, productivity and exception management
  • Financial Analysts — need operational reporting linked to volumes, costs and performance targets
  • Project and Programme Managers — need clear progress, risk and delivery-status reporting
  • Data Stewards — need stronger metric definitions, data-quality checks and reporting ownership

Skills and tools covered

KPI designPower Query transformationExcel data modellingDAX measuresDashboard visualisationReporting controls

Tools and standards

Microsoft Excel, Power Query, Power Pivot, DAX

How the course runs

Training methodology

The course uses short instructor briefings followed by guided dashboard construction using realistic operational datasets. Participants assess reporting requirements, define KPIs, prepare source data, build models and assemble dashboard views in Excel. Case work addresses recurring reporting issues such as inconsistent extracts, missing records, changing targets and late refreshes. Group review sessions compare visual choices and control methods. Simulated reporting requests require participants to translate management questions into usable dashboard components. The final application-planning session connects course methods to a participant’s own reporting responsibilities.

Requirements and prerequisites

Participants should be confident using Excel worksheets, formulas, sorting, filtering and basic charts. They should have experience working with business data such as operational extracts, transaction lists, budgets or service-performance reports. Familiarity with PivotTables is useful but not essential. Participants should be prepared to work with structured datasets and to examine formula logic. Prior knowledge of Power Query, Power Pivot, DAX, VBA, SQL, data warehousing or formal business intelligence platforms is not required. The course does not require programming experience.

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

You should be comfortable with basic formulas, sorting, filtering and working with worksheets. PivotTable experience is useful, but Power Query, Power Pivot and DAX are taught from the required starting point.

Bring a laptop with a current desktop version of Microsoft Excel, preferably Microsoft 365 or Excel 2021 or later. You may also bring a non-confidential sample report or anonymised dataset to inform your application plan.

It is suited to analysts, reporting professionals, operational managers and project staff responsible for recurring performance reporting. It is most useful for people who need to turn Excel data into management-ready dashboard views.

This course concentrates on building controlled operational dashboards in Excel, including KPI design, data preparation, models, visual reporting and governance. It does not focus on VBA automation or enterprise Power BI deployment.

Participants can use the templates and methods to redesign a recurring operational report, create a refreshable dashboard or standardise KPI reporting. The application plan identifies a practical first release, relevant stakeholders and required source data.

The five days provide about 32.5 contact hours, organised around ten connected modules. Time is divided between dashboard design, data preparation, Excel modelling, visual construction, controls and implementation planning.

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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