01 Blog topic
Dashboards and data
Posts on dashboards, data visualisation and telling a story with data. 10 posts, newest first.
Newest first
Updated First published
Power BI for Marketing and Sales Analytics: A Setup Guide
How to set up Power BI for marketing: the five reports to build, connecting GA4, ads and CRM data, a simple data model, DAX measures and refresh.
Updated First published
How to build interactive dashboards in Power BI
A step-by-step guide to interactive dashboards in Power BI: data model, measures, slicers, drill-through, bookmarks, tooltips, mobile layout, publishing.
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Power BI Data Sources: How to Connect and Combine Them
Power BI data sources explained: the main connectors, import, DirectQuery and live connections, refresh schedules, and how to combine sources cleanly.
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Power BI Real-Time Dashboards: How to Set One Up
How to set up a Power BI real-time dashboard: DirectQuery with automatic page refresh or streaming data, alerts, performance tips and use cases.
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Power BI for Beginners: Your First Report Step by Step
Power BI for beginners: build your first report step by step, from connecting and cleaning data to choosing charts, adding context and sharing.
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Python Data Analysis and Visualisation with Pandas
Python data analysis and visualisation with pandas: load, clean, transform, analyse and chart your data, with a short worked example.
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IT Industry Insights: Where to Find Reliable Reports
Where to find reliable IT industry insights: market research, analyst and vendor reports, how to judge a report, and how to build a fuller picture.
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Custom Dashboard Features: What to Plan Before You Build
Custom dashboard features to plan before you build: interactive exploration, real-time updates, tailored charts, role-based access and alerts.
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Data Visualization Tips for Content Creators: 8 Rules
Eight data visualization tips for content creators, each with a before-and-after example: chart choice, one message, colour, mobile, sources and testing.
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A Basic Guide to Data Visualisation: Types and Uses
A basic guide to data visualisation: what it is, why it matters, the five main categories, the common chart types and when to use each one.
