Direct selling organizations rely on data analytics to manage their complex business models. The sheer volume of data that is generated by a direct selling organization can be overwhelming for even the most well-established firms. The primary sources of data are distributors, customers, consultants, e-stores, social media, websites and search engines. With all these sources contributing to an organization's database it is important that they know how to make sense of this raw information in order to provide their team with accurate intelligence. 

Data analytics is a relatively new field that emerged with the advent of the internet and digital technologies. With these innovations, it became possible to store, access and process large amounts of data quickly. This paved way for better decision-making by analyzing customer behaviour patterns through various streams of data including internet browsing habits, social media activity etc.

A data-driven culture is an essential element of a successful business. It removes the risks associated with guesswork practices and helps companies establish concrete and consistent strategies to address customer pain points and interests creating a holistic view of the buying process. Customer-centric data analytics can provide insights into your customers, and their shopping habits, and improve your products and services. 

A data-driven culture is a new way of doing business. Gone are the days when intuition and gut feeling could take you far, now data analytics will provide more accurate results for all decisions made in a company. Data-based insights improve decision-making by identifying trends and patterns that govern business decisions. It is true that introducing a data-driven culture is difficult in direct selling but making the effort will surely bear fruit.