Product Analytics vs Business Intelligence

Product Analytics is centered on the real-time analysis of how users interact with digital products.

Business Intelligence is centered on analyzing historical data to guide business decisions.

The primary goal is to optimize product features and user experience.

The primary goal is to support strategic decision-making.

It is focused and provides a user-centric view.

It covers a broader spectrum and provides an organizational perspective.

It is focused on user behavior, product performance, feature usage, and user interactions.

It is focused on business performance, business trends, and strategic decision-making.

A SaaS company checks how much money they’re making each quarter, how much it costs them to get new customers, and how smoothly their systems are running.

An E-Commerce Platform looks at what pages people visit the most, makes it easier for them to buy stuff, and suggests things they might like based on what they’ve looked at before.

It is used by product managers, UX/ UI designers, and product analysts.

It is used by executives, managers, and analysts across different departments.

It relies on real-time data about user behavior, and product interaction.

It relies on historical, aggregated data from various sources for business analysis.

It presents analytical results in the form of funnel charts, and user flows.

It presents analytical results in the form of reports, summaries, charts, graphs, and dashboards.

Amplitude, Mitzu, Mixpanel.

Power BI, Tableau, Qlik View.