Decision Intelligence vs. Market Research

By contrast, Decision Intelligence is designed to illuminate the future not how people have behaved in the past or how people are behaving in the present, but how people will behave in the future. The results help people make faster, forward-looking and data-driven decisions.

How Decision Intelligence can transform a traditional market research strategy

By contrast, Decision Intelligence is designed to illuminate the future — not how people have behaved in the past or how people are behaving in the present, but how people will behave in the future. The results help people make faster, forward-looking and data-driven decisions.

The Decision Intelligence approach starts with accurate, consistent, unbiased and clean data. This is a critical first step, as the technology uses these numbers to build forecasts and make recommendations. 

Next, the data is run through artificial intelligence applications, such as predictive modeling, time-series forecasting, machine learning and natural language processing (NLP). These applications are typically designed, built and validated by a team of engineers, data scientists and product managers. The outcome depends on the specific application: who the technology was designed for and the questions it was programmed to solve. 

Keep reading to see how Decision Intelligence expands upon the types of questions that market research can address:

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