Dashboard and Reporting Course

Lesson 1 • Understanding Your Audience

Maps stakeholder types to information needs and consumption habits. Audience analysis drives every design decision in later chapters.

Lesson 2 • What Dashboards and Reports Do

Defines dashboards versus static reports and their roles in organisations. Sets the vocabulary used throughout the course.

Lesson 3 • Reporting Lifecycle Overview

Outlines the end-to-end process from requirement gathering to report delivery and maintenance. Provides a roadmap for the full course.

Lesson 4 • Metrics, KPIs, and Measures

Distinguishes raw metrics from KPIs and calculated measures. Proper metric selection prevents misleading reports.

Lesson 1 • Data Profiling and Assessment

Profiles datasets to detect quality issues before building reports. Early profiling prevents downstream errors in visualisations.

Lesson 2 • Building a Reusable Data Model

Structures cleaned data into a model that supports multiple reports efficiently. A solid model reduces rework as reporting needs evolve.

Lesson 3 • Shaping Data for Analysis

Reshapes data through filtering, grouping, pivoting, and joining. Proper shaping aligns data structure to chart and table requirements.

Lesson 4 • Calculated Fields and Derived Metrics

Creates new columns and measures from existing data using formulas. Derived metrics power the KPIs defined in Chapter 1.

Lesson 1 • Designing Clear and Honest Charts

Applies best practices for axes, labels, and scales to avoid distortion. Honest design builds audience trust in the data.

Lesson 2 • Choosing the Right Chart Type

Maps analytical questions to appropriate chart families. Correct chart selection prevents misinterpretation of data.

Lesson 3 • Using Colour and Typography Effectively

Guides strategic use of colour palettes and font choices in reports. Consistent visual language reinforces brand and readability.

Lesson 4 • Storytelling with Data

Structures data narratives with context, conflict, and resolution. Narrative framing transforms charts into persuasive insights.

Lesson 1 • KPI Cards and Summary Metrics

Designs prominent KPI tiles that surface the most critical numbers instantly. Summary metrics anchor the dashboard narrative.

Lesson 2 • Dashboard Layout and Composition

Applies grid systems and visual hierarchy to organise dashboard components. Good layout reduces cognitive load for end users.

Lesson 3 • Filters, Parameters, and Controls

Implements interactive controls that let users explore data without editing the report. Interactivity extends a single dashboard to multiple use cases.

Lesson 4 • Dashboard Performance Optimisation

Reduces load times through query optimisation and efficient data models. Fast dashboards increase adoption and user satisfaction.

Lesson 1 • Report Structure and Templates

Defines standard report sections and builds reusable templates. Templates enforce consistency and reduce production time.

Lesson 2 • Export and Distribution Formats

Configures reports for PDF, web, email, and embedded delivery channels. Format choice affects fidelity, interactivity, and audience reach.

Lesson 3 • Tables and Conditional Formatting

Designs data tables with formatting rules that highlight exceptions and trends. Well-formatted tables communicate as effectively as charts.

Lesson 4 • Accessibility in Report Design

Ensures reports meet accessibility standards for users with visual impairments. Accessible design expands the audience and meets compliance expectations.

Lesson 1 • Cohort and Segmentation Analysis

Segments data by cohort, geography, or category to reveal hidden patterns. Segmentation enables targeted decisions beyond aggregate metrics.

Lesson 2 • Forecasting and Trend Projection

Applies trend lines and basic forecasting models to project future values. Forecasts shift dashboards from descriptive to predictive tools.

Lesson 3 • What-If Analysis and Scenario Modeling

Builds parameter-driven scenarios that let users test assumptions interactively. Scenario tools transform dashboards into planning instruments.

Lesson 4 • Time Intelligence and Period Comparisons

Builds period-over-period calculations such as year-over-year and rolling averages. Time intelligence is the most requested analytical feature in business dashboards.

Lesson 1 • Metric Definitions and a Data Dictionary

Creates a shared data dictionary that standardises metric definitions across teams. Consistent definitions eliminate conflicting numbers in reports.

Lesson 2 • Data Quality Standards for Reporting

Defines quality dimensions—accuracy, completeness, timeliness—and applies them to reporting pipelines. Quality standards prevent costly errors in business decisions.

Lesson 3 • Change Management for Reports

Manages report updates through versioning, communication, and impact assessment. Structured change management prevents disruption to report consumers.

Lesson 4 • Report Testing and Validation

Applies structured testing to verify that reports produce correct outputs. Validation before deployment prevents trust-damaging errors.

Lesson 1 • Auditing the Existing Report Portfolio

Evaluates current reports for redundancy, usage, and business value. Portfolio audits reveal consolidation opportunities and gaps.

Lesson 2 • Building a Reporting Maturity Roadmap

Assesses current maturity and defines a phased roadmap towards advanced analytics. A roadmap guides investment decisions and capability building.

Lesson 3 • Self-Service Reporting Architecture

Designs a governed self-service model that empowers analysts without sacrificing data integrity. Self-service reduces bottlenecks on central reporting teams.

Lesson 4 • Aligning Reports to Business Strategy

Links reporting outputs to strategic objectives and OKRs. Strategic alignment ensures reporting investment delivers measurable business value.