Sales Analytics Using Power BI Training Course

Participants can clean, combine and document sales data sources using Power Query transformations.

• Power Query import modes selected for files, databases and cloud sources
• Applied Steps used to profile nulls, duplicates and invalid values
• Merge and append operations combine CRM, ERP and target datasets
• Unpivot transformations reshape monthly targets into analysis-ready fact tables
• Parameters and data-source settings support controlled refresh across environments
• Query folding assessed to prevent unnecessary load-time performance losses

Participants can build an efficient Power BI data model for sales, target and pipeline reporting.

• Fact and dimension tables separated using Kimball dimensional modelling principles
• One-to-many relationships configured with correct filter direction and cardinality
• Role-playing date relationships managed for order, invoice and close dates
• Inactive date relationships activated within DAX measures using USERELATIONSHIP function
• Bridge tables resolve many-to-many account ownership and territory assignments
• Model view documentation records table purpose, keys and refresh dependencies
• Hide technical columns and create display folders for report authors

Participants can create tested DAX measures for core sales and commercial performance indicators.

• Explicit measures created for revenue, units, margin and average selling price
• Row context and filter context distinguished when writing DAX calculations
• CALCULATE modifies filters for qualified pipeline and territory comparisons
• DIVIDE and COALESCE handle zero denominators and missing sales values
• DAX variables improve measure readability, testing and subsequent maintenance
• Measure branching separates base metrics from derived commercial indicators
• Format strings align currencies, percentages and units with reporting conventions

Participants can analyse sales trends, period comparisons and pipeline timing using DAX time intelligence.

• Calendar table marked correctly to support DAX time-intelligence functions
• Year-to-date, quarter-to-date and month-to-date sales measures calculated
• Prior-period comparisons built with DATEADD and SAMEPERIODLASTYEAR
• Rolling 12-month revenue trends calculated using DATESINPERIOD and explicit measures
• Fiscal-year logic applied where reporting calendars differ from calendar years
• New, retained, lost and reactivated customers classified from transaction history
• Pipeline ageing calculated from stage-entry dates and expected close dates

Participants can design sales dashboards that move from performance signals to actionable diagnosis.

• Visual selection matched to sales questions, audience and decision cadence
• Executive scorecards combine target attainment, variance and trend indicators
• Waterfall charts explain revenue movement between comparable reporting periods
• Decomposition trees investigate variance by region, product and sales channel
• Scatter charts identify account concentration, margin patterns and outliers
• Drill-through pages provide account-level detail without duplicating report pages
• Report layouts apply visual hierarchy, alignment and accessible colour contrast

Participants can report quota progress, pipeline quality, conversion and forecast risk accurately.

• Target tables modelled by seller, territory, product and reporting period
• Attainment measures compare actuals against prorated quotas and targets
• Weighted pipeline calculated from opportunity value and stage probability
• Sales funnel conversion rates calculated between defined CRM stages
• Forecast categories separated from pipeline stages to prevent misleading totals
• Coverage ratios compare pipeline value with remaining quota requirements
• Win rate analysed by segment, source, product and sales representative

Participants can identify commercial drivers and performance risks across customers, products and territories.

• Pareto analysis identifies accounts contributing the largest share of revenue
• RFM scores segment customers by recency, frequency and monetary value
• Customer cohort tables track retention following first purchase periods
• Product mix analysis compares attach rates and cross-sell opportunities
• Discount-to-margin analysis highlights commercially unsustainable deal patterns
• Territory performance separates opportunity volume from conversion and value
• Decomposition paths test drivers behind declining sales or margin

Participants can publish, secure and maintain sales reports for controlled business use.

• Workspaces, apps and audiences organised for controlled report distribution
• Row-level security roles restrict data by territory, manager or account
• Scheduled refresh configured with gateway requirements and refresh failure alerts
• Data lineage reviewed before publishing dependent datasets and reports
• Endorsement, sensitivity labels and access permissions support governed reuse
• Performance Analyzer identifies slow visuals, queries and DAX measures
• Publication checklist validates filters, totals, security and mobile layouts

Participants can plan a practical sales reporting improvement with clear ownership and decision use.

• Sales dashboard requirements prioritised using stakeholder questions and decision frequency
• Report pages sequenced from executive performance signals to diagnostic detail
• Metric definitions reconciled with sales operations and finance owners
• Insight statements distinguish observed variance, likely driver and required action
• Commentary templates connect dashboard findings to forecast and pipeline reviews
• Refresh ownership, exception handling and adoption measures assigned to report roles
• Personal application plan schedules first report improvements after course completion