Product School

What is Business Intelligence (BI) and How Can it Help Product Managers?

Business Intelligence (BI) is the process of transforming raw data into meaningful insights that can drive better decisions. Product Managers can use BI tools and techniques to make informed decisions that improve the customer experience and drive Product-Led Growth.

Business Intelligence (BI) in Product Management

Business Intelligence (BI) is the process of analyzing raw data and transforming it into actionable insights that can drive business decisions. In today’s data-driven world, BI is becoming an essential tool for Product Managers to make informed decisions about their products. BI can help you identify customer needs, track product performance, and make data-driven decisions that drive business growth.

Business Intelligence glossary

Why Implement Business Intelligence (BI)?

As a Product Manager, you can deploy BI tools and techniques to collect, analyze, and visualize data from various sources, such as sales data, customer feedback, and website analytics. You can use these insights to identify trends, track progress against goals, and make informed decisions based on real-time data.

How to Use Business Intelligence (BI) in Product Management?

Here’s a step-by-step process for using Business Intelligence (BI) as a Product Manager

  1. Define your business goals: Start by understanding what business goals you want to achieve. Identify the key performance indicators (KPIs) that you want to track and measure. Examples of KPIs could be revenue, customer satisfaction, customer retention, or market share.

  2. Collect relevant data: Gather data from multiple sources such as customer feedback, surveys, sales data, web analytics, and social media. Make sure the data is clean and accurate. Use data cleaning tools to remove any duplicate, incomplete or incorrect data.

  3. Analyze the data: Use BI tools to analyze

    the data and gain insights. BI tools allow you to identify patterns, trends, and correlations within the data. This can help you identify potential problems and opportunities.

  4. Create dashboards: Use the insights gained from the data analysis to create visual dashboards. Dashboards provide a quick and easy way to visualize and communicate the key metrics and KPIs. This helps you and your team stay informed and make data-driven decisions.

  5. Monitor performance: Monitor your performance against your KPIs on a regular basis. Use BI tools to track changes in the data and compare performance over time. This helps you identify any areas of improvement and take corrective action.

  6. Share insights: Share the insights gained from the data analysis with your team and stakeholders. This helps to create a shared understanding of the data and the business goals. Encourage your team to use the insights to make data-driven decisions and take actions that align with the business goals.

Business Intelligence glossary

When to Use Business Intelligence (BI) in Product Management?

Product Managers can apply Business Intelligence (BI) throughout the Product Development lifecycle, from ideation to launch and beyond. Outside of the development cycle, you can also get value from Business Intelligence when monitoring market trends, competitors, and emerging technologies that could impact your overall Product Strategy.

Business Intelligence in action 

“As a Product Manager, I rely on BI to make data-driven decisions that impact our product roadmap. I use BI tools to track user engagement, monitor feature adoption, and analyze market trends. BI has become an essential part of my day-to-day work, helping me stay focused on delivering value to our customers.”

Business Intelligence glossary

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