Frequently Asked Questions (FAQs) on Product Analytics vs Business Intelligence

1. What are common metrics used in Product Analytics?

Some of the common metrics used in product analytics include conversion rate, new customer growth rate, churn rate, cost per acquisition, and customer lifetime value.

2. What tools are used for Product Analytics?

Some of the tools that are used for Procust Analytics include Mixpanel, Amplitude, Heap, Google Analytics, and many more.

3. What tools are used for Business Intelligence?

Some of the tools that are used for Business Intelligence include Microsoft Power BI, Tableau, Sisense, Domo, Zoho Corporation, and many more.

4. What type of data are analyzed in Product Analytics?

Product Analytics involves analyzing various types of data including user interactions, feature usage, product performance, feature adoption, and user feedback.

5. What type of data are analyzed in Business Intelligence?

Business Intelligence involves analyzing various types of data including customer interactions, website traffic, financial transactions, and social media activity.

Product Analytics involves examining the product features, quality, appearance, costs, and many other aspects. It is conducted by product managers and potential buyers. On the other hand, Business Intelligence involves strategies that are used by enterprises for data analysis and management of business information. This article focuses on discussing the difference between product analytics and business intelligence.