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Reporting and analytics


In reality, reporting is the sorting and organization of data, while analytics derive insights from that data and often influence business decisions. Three key differences to take note of between reporting and analytics are purpose, methods, and value.

What does a reporting and analytics team do?

Most analytics teams will focus on: Building big data collection and analytics capabilities to uncover customer, product, and operational insights. Analyzing data sources and proposing solutions to strategic planning problems on a one-time or periodic basis. Providing data-driven decision support.

Why is reporting and analytics important?

By implementing an effective reporting and analytics system, a business can increase communication, productivity, accuracy and timeliness. This will aid in creating a sustainable environment where management can make thoughtful and informed decisions, in order to grow the business.

What is reporting and analytics tools?

There are two main types of reporting tools: data visualization tools and analytical tools. Data visualization tools help users visualize large amounts of information by creating visual representations of data. Analytical tools allow users to analyze data and create reports based on the results.

What is a key difference between reporting and performance analytics?

Performance Analytics enables you to track and aggregate data over time, such as to measure how many tickets are resolved each week per assignment group. Reporting enables you to create and distribute reports that show the current state of instance data, such as how many open incidents of each priority there are.


Looking at reporting vs analytics this way tells us both analytics and reporting are dependent on each other. If you want actionable insights or recommendations from raw data, you’ll first need to organize and format it – something that reporting does for you. Similarly, reporting without analytics is useless at its core. Because then you have an idea of what’s happening based on the data gathered, but no way to interpret it into actionable takeaways to execute.




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