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Data-driven decisions

88 articles · Page 1

This section collects the site's articles on turning data into decisions: business intelligence tools and platforms, no-code analytics, automated reporting, real-time analytics and decision support systems. Articles compare data analytics tools and business intelligence alternatives, explain decision-making frameworks and how to choose decision tools, and look at what AI-powered data analysis can and cannot replace, including the debate around AI replacing data analysts. Practical pieces cover automated market research, automating finance and market trend analysis, automatic report generation, analysing customer behaviour, and outsourcing data analysis. Each article weighs the gains against the pitfalls, from bad data and AI hype to the limits of automated judgment.

Frequently Asked Questions

What is a decision support system?

A decision support system gathers, analyses and presents data so that people can make a specific business decision. It sits alongside business intelligence platforms and reporting tools, but its focus is the decision rather than the dashboard. Articles in this section compare such systems with analyst-led and AI-powered approaches.

Can AI replace data analysts?

AI-powered data analysis can automate repeated work such as report writing, performance reporting and trend monitoring. It does not remove the need for human judgment about context, data quality and which questions matter. Several articles here examine where automation genuinely improves decisions and where it introduces risk.

How do you choose between analytics and reporting tools?

Start from the decisions the tool has to support, then check whether it fits your data sources, reporting cadence and the skills of the people using it. No-code analytics and automated reporting tools reduce setup effort, while business intelligence platforms offer broader modelling. The comparison articles in this section set out the tradeoffs.