In the age of Big Data, companies have no choice but to analyse the flow of information about their customers and exploit it to provide the best possible customer experience. Nowadays, customer experience plays a major role in the success of a company, which makes it imperative to implement more relevant analysis methods such as Data Science. But what is this recent concept really about?
What is “Data Science”?
Responding to the complexity and exponential growth of customer data, Data Science is a term that was coined by William Cleveland in an article he wrote in 2001. It refers to a set of methods for mass data analysis based on data mining, statistics, signal processing, machine learning and customer data visualisation.
What is the impact of Data Science on customer relations?
Faced with an increasingly demanding market, Data Science enables companies to face a major challenge which consists of guaranteeing good customer relations. This will enable it to make the difference between itself and its competitors and to offer services and products that are more in line with customers’ expectations and needs. Data Science is therefore the guarantee of a good customer relationship in the long term thanks to good management of the information collected. Thus, the company can not only direct its activity on the basis of the needs and future trends that are predicted thanks to the indicators provided by Data Science, but also perfect its customer experience in order to keep up with the market.
What are the tasks of a Data Scientist?
Data Science is a rapidly expanding field with a bright future ahead of it. It is therefore not surprising to see the appearance of many data scientists on the market. Indeed, the latter is one of the major levers enabling the company to have access to quality and usable data. The day-to-day work will consist of extracting data from the source, processing this data using statistical methods and reworking it. In general, this work is articulated around 4 main axes : the understanding of the marketing problems of the company, the implementation of a statistic allowing to solve the existing problems, the identification of the relevant data to be used and the analysis of the data with the aim of setting up an effective strategy.