Data and Business Intelligence Glossary Terms

Survey Analysis

Survey Analysis is like taking a magnifying glass to the answers people give in surveys to really understand what they’re saying. It’s a process used in business intelligence and data analytics to sift through the opinions and feedback collected from questionnaires. Businesses conduct surveys to get input on a wide range of topics — from customer satisfaction to product preferences — and Survey Analysis helps them make sense of the results.

The analysis part can get pretty interesting. It involves looking for patterns or significant highlights in the responses, like if most people gave a new product the thumbs up, or if there’s a common suggestion for improving customer service. It can also mean breaking down the data by different groups, such as age or location, to see if different types of people have different views.

By digging into this treasure trove of information, businesses can learn a lot about what their customers really think and want. This insight can guide them in making changes to products, tweaking services, or shaping marketing campaigns. Essentially, Survey Analysis turns raw survey data into actionable advice, helping businesses to keep improving and growing.


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