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    What Is Business Intelligence?

    Business intelligence is the mix of software, data, and analysis that helps a company turn raw data into useful answers. It brings information from across the business into clear reports and dashboards that help people understand performance and make informed decisions.

    Expanded Definition

    Every business generates data, but it often sits across different systems. Sales, finance, operations, and customer service may each work from their own tools, which makes it harder to see the full picture. Business intelligence connects that information so people don’t have to piece together answers from separate reports or spreadsheets.

    With a shared view, teams can spend less time gathering numbers and more time understanding what’s driving performance. Reports and dashboards make important changes easier to see, helping people respond sooner and make decisions with better context.

    That practical value helps explain why investment in BI keeps rising. Grand View Research valued the global business intelligence software market at USD $43.7 billion in 2026 and expects it to reach $81.5 billion by 2033.

    How Business Intelligence Is Applied in Business & Data

    Business intelligence creates the most value when insights are easy to reach and act on. Instead of spending time gathering information or opening a separate dashboard for every question, teams can see what’s changing inside the tools they already use. A 2026 IDC article on the future of business intelligence describes this shift as reducing the friction between intelligence and action by bringing relevant information to people when they need it.

    Some of the most common ways companies use business intelligence include:

    • Tracking business performance and seeing how results change over time.
    • Monitoring key performance indicators (KPIs) against business goals.
    • Spotting trends and patterns that may not be obvious in separate reports.
    • Bringing data together from different systems for a more complete view.
    • Creating clear reports and dashboards that make information easier to understand across audiences.
    • Giving people faster access to answers without waiting for a custom report.

    As these capabilities become part of everyday work, AI is adding new ways for people to interact with business intelligence.

    How business intelligence supports AI initiatives

    AI is changing how people use business intelligence. Natural-language questions and automated explanations are making data easier to explore, while self-service analytics is giving more people direct access to reliable information. In its 2025 Business Intelligence Platforms research, Forrester describes BI as “a crucial enabler in the data-to-decisions process” and explains that generative AI is extending business intelligence rather than replacing it.

    That shift also raises the bar for data quality. As more companies adopt AI, they need trusted information that is consistent and ready to use. Business intelligence helps create that foundation, making it easier to build AI-ready data and prepare for future AI initiatives.

    How Business Intelligence Works

    Business intelligence may look a little different from one company to the next, but the process almost always starts with the data a business already collects. That data can come from sales transactions, customer records, website activity, financial systems, or supply chain operations. When those data sources are brought together, BI can turn them into a more complete view of what’s happening across the business.

    The business intelligence workflow typically involves these steps:

    1. Connect the data. Bring together information from the systems the business already uses, such as cloud applications, databases, spreadsheets, or other business systems.
    2. Prepare the data. Clean up the information and combine it into a consistent view. This step improves data quality and gives people more confidence in what they’re seeing.
    3. Analyze and visualize it. BI platforms turn prepared data into reports and dashboards that are easier to explore. Teams can investigate changes and answer new questions without rebuilding the analysis each time.
    4. Use the insights. Teams can apply what they learn and ask more focused follow-up questions. As conditions change, the cycle starts again with fresh data.

    Much of this work happens before anyone opens a dashboard. Alteryx helps teams prepare and combine data from different sources, then automate repeatable workflows so the same manual steps don’t have to be completed every time a report is updated.

    As BI platforms evolve, the quality of the data behind them matters even more. Gartner describes modern analytics and business intelligence platforms as bringing together reporting with self-service analysis and AI-assisted capabilities. Those features are much more useful when the underlying data is accurate and ready to use.

    Use Cases

    The same BI platform can answer very different questions depending on who’s using it.

    Here are a few ways teams rely on business intelligence in their day-to-day work:

    • Executive leadership: Leaders use BI to get a quick read on how the business is doing and where they may need to step in. It can also show whether important company priorities are producing the expected results.
    • Finance: BI helps finance teams compare forecasts with actual results and understand what’s behind a change in revenue or costs. That context makes the numbers easier to explain and gives the next planning conversation a clearer starting point.
    • Sales and marketing: BI shows teams which campaigns are working and how customer behavior is changing. They can shift their approach before putting more time or budget into tactics that aren’t delivering.
    • Operations: BI helps operations teams spot slowdowns before they turn into bigger problems. A clearer view of inventory and supplier activity gives people more time to respond and keep work moving.

    Industry Examples

    Every industry has different priorities, but the goal is the same: use data to make better decisions.

    Here are a few examples of how different industries use business intelligence:

    • Healthcare: Hospitals can use BI to spot where patient flow is backing up or where staffing looks stretched. That gives teams time to adjust before delays affect care.
    • Insurance: BI can help insurers make sense of what’s happening across claims and policies. It’s especially useful for flagging unusual activity that deserves a closer look.
    • Higher education: Colleges and universities can use BI to see how enrollment is changing and where students may be struggling. Those insights help schools plan ahead and provide support before students fall behind.
    • Manufacturing: BI gives manufacturers a clearer view of production and equipment performance. If output slows or a machine starts underperforming, teams can investigate the cause and adjust before downtime affects the schedule.

    FAQs

    How is business intelligence different from business analytics? Business intelligence (BI) and business analytics work together, but they serve different purposes. BI helps you understand what happened and what’s happening now by organizing and visualizing business data. Business analytics builds on those insights by using predictive models, statistical analysis, and AI to explore what may happen next and recommend the best course of action.

    Can small businesses use business intelligence? Cloud-based BI platforms have made business intelligence accessible to organizations of every size. Small businesses can start with dashboards that track sales, expenses, or customer activity and expand their BI capabilities as their data and reporting needs grow.

    What types of data can business intelligence analyze? Business intelligence can analyze almost any business data, as long as it’s relevant to the question you’re trying to answer. That might include financial data, customer information, operational metrics, marketing performance, or supply chain data. Bringing those sources together helps teams see the bigger picture instead of making decisions from isolated reports.

    Does AI replace business intelligence? Business intelligence and AI work best together. BI creates a trusted foundation for decision-making, while AI helps people understand the data more quickly. It can answer questions in plain language, explain unexpected changes, or surface insights that might otherwise go unnoticed.

    How do you know if your business is ready for business intelligence? Your business may be ready for BI if teams spend too much time building reports or reconciling conflicting data. Business intelligence creates a more consistent view of performance so people can focus less on gathering information and more on making informed decisions.

    Further Resources

    Sources and References

    Synonyms

    • BI
    • Business intelligence software
    • BI software
    • Business intelligence platform
    • BI platform

    Related Terms

    Last Reviewed: July 2026

    Alteryx Editorial Standards and Review
    This glossary entry was created and reviewed by the Alteryx content team for clarity, accuracy, and alignment with our expertise in data analytics automation.