Given the deluge of data flowing in from disparate sources, it is increasingly challenging to distil all the relevant insights that will impact business decisions.  Data Prompt’s trained experts can help you extract these insights using different multivariate techniques.

Factor Analysis: This analysis technique takes a mass of data and shrinks it to a smaller data set which is more manageable and easier to understand. It helps find underlying patterns in the data, show how those patterns overlap and what characteristics are seen in multiple patterns.

Cluster analysis: This works by organizing items into groups or clusters, based on how closely associated they are to each other.  For instance, in marketing, cluster analysis can be used so different customer groups are targeted with the most relevant messages. 

Key Driver analysis: Used to determine the importance between potential factors — like product quality or price — and customer attitudes towards your brand.  This technique helps you understand the drivers behind consumer behaviours and key business metrics such as customer satisfaction or loyalty.