Guides
Analytics and Dashboard Implementation Guides
Practical technical guides for embedded analytics, dashboard architecture, KPI design, and customer-facing reporting systems.
Showing 20 of 20
Supply Chain Dashboards: What General Dashboards Miss
Build powerful supply chain dashboards with real-time visibility into logistics, inventory, and operations. Track KPIs, optimize costs, and improve delivery performance.
Retail Dashboards: A Tile Earns Its Place by Driving Action
Retail KPIs fall into four groups, and a tile earns its place only by driving an action. Sales, inventory and customer analytics, for retailers and for the SaaS products serving them.
Marketing Dashboards: Named by Purpose or by Source
Marketing dashboards get named after their purpose or their source, and the two cuts overlap. Attribution, the metrics that survive, and what changes when the dashboard faces a MarTech customer.
Manufacturing Dashboards: The Data Is Late, in Four Shapes
A plant already has the data; it arrives too late and in four shapes. OEE and the KPIs worth a tile, and why the business case is not faster reporting.
Healthcare Dashboards: When Your Sources Disagree on Who and When
Healthcare dashboards pull from sources that disagree about who a patient is and when something happened. The six components that recur, where the connectors carry the compliance risk, and what HIPAA changes.
Self-Service Analytics: Two Jobs Behind One Name
Self-service analytics guide for B2B SaaS: internal BI vs customer-facing embedded analytics, implementation strategies, multi-tenancy, and platform selection.
Real-Time Dashboards: A Maintenance Decision, Not a Feature
Real time is a multi-year maintenance commitment before it is a feature. Streaming architecture, multi-tenant scaling, and where building and buying actually diverge.
React Chart Libraries: Start From the Constraint That Binds
Compare leading React chart libraries using official package evidence, a reproducible benchmark contract, and embedded analytics requirements for production data visualizations in B2B SaaS applications.
JavaScript Charting Libraries: Where Each One Stops
Compare D3.js, ECharts, Chart.js, Highcharts, Recharts, and ApexCharts by documented rendering boundary, framework fit, licensing, and a production-shaped prototype rather than unsupported league-table scores.
Headless BI: One Metrics Layer, Any Front End
Headless BI separates the metrics layer from whatever draws the charts. The three layers, where SDK and API differ, and the build-versus-buy economics that follow.
Embedded Analytics Alternatives: Compare the Meter, Not the Price
Compare 13 embedded analytics alternatives. Find the right platform for your B2B SaaS product based on pricing, integration speed, architecture, and developer experience.
Dashboard Types: Sorted by How Fast the Reader Must Act
Four dashboard types, separated by how long the reader has to respond, and which one a given audience actually needs.
Business Intelligence Tools: Which One Survives Embedding
Compare top BI tools for embedded analytics. Side-by-side analysis of Tableau, Power BI, Looker, Metabase vs modern embedded platforms like Sumboard.
AI Analytics: Seven Categories, Seven Different Questions
Seven kinds of AI analytics, each answering a different business question, and what the infrastructure behind them actually has to do. Written for teams embedding this in a product rather than running it internally.
Chart Types: Choose by Purpose, Not by How It Looks
More than forty chart types, grouped by the question they answer rather than by what they look like, with the ones that survive a customer-facing dashboard called out.
Financial Dashboards: The Summary, Not the Ledger
A financial dashboard is the summary; the accounting system keeps the ledger. Which finance metrics earn a tile, and why a reader with nobody to ask changes the architecture for FinTech products.
The complete guide to white-label analytics
What white-label actually means, how it differs from embedded analytics, where the branding breaks in practice, and how the platforms compare on the things you cannot see in a demo.
The complete guide to building analytics reports, and to letting your customers build their own
How to plan, build, test and maintain reports people actually use, and what changes when you stop building the reports and start shipping the surface your customers build them on: defining purpose when you will never meet the audience, preparing data you do not own, and testing a builder rather than a report.
The complete guide to embedded analytics
What embedded analytics is, how it differs from internal BI, the three implementation routes and what each one costs in calendar time, how the platforms compare, and the four things that actually set your launch date.
Build or buy customer-facing analytics: a practical guide
A practical guide to deciding if, when and how to put analytics in front of your customers: the demand signals that are never requests, the three routes and what each leaves you owning, and the mistakes that get expensive fastest.