Data and Business Intelligence Glossary Terms
Breadth Analytics
Breadth analytics refers to analyzing a wide range of different data points to get a broad overview of a company’s performance. Imagine a business like a big puzzle. Breadth analytics is like looking at all the puzzle pieces laid out to understand the full picture. This approach is about breadth, not depth, which means it covers many areas but doesn’t dive deeply into any single one.
In business intelligence, breadth analytics is used to identify overall trends, patterns, and relationships across a company’s operations. It helps businesses grasp the ‘big picture’ and can point out which areas are performing well or need improvement. For example, a company may use breadth analytics to quickly check the health across all departments, like sales, customer service, and production, without analyzing the finer details of each area.
By using breadth analytics, companies can focus on the scope of their data to ensure they are not missing out on any important areas that could influence their strategy. It’s an early step in data analysis that can help set the stage for more focused, in-depth analysis later on, guiding businesses toward the issues or opportunities that warrant a closer look.
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