Having a data-driven approach in business means tapping into the treasure trove of Big Data and using data effectively in the decision-making process. In marketing, for example, analyzing customer data ( Customer Analytics ) is now a common practice for several organizations because it enables digital marketing activities to drive business growth by building more meaningful and long-lasting relationships with customers.

 

What does a data-driven company mean: a data-driven approach?

Data-driven companies are those that consider data whatsapp lead  management not as a technical factor, but as a strategic pillar of the business. Being data-driven means being guided by numbers, having a data-driven approach, to make informed decisions.

 

Today’s CEOs and managers need information to help them understand what the future holds. Accurate, up-to-date and frequently collected data is essential . In such a fast-paced world, it is not enough to look back, analyze metrics and KPIs based on historical series, generate statistics and final reports to perform data analysis on user behavior or to identify technical or critical events.

 

It is necessary to anticipate consumer behavior by knowing their tastes.

 

An example of excellence is Spotify, which, with its preference-based song what are the main tools for collecting data?  suggestion system, is one of the best-known companies to have invested considerable resources in data-driven decision-making.

 

Recently, Spotify has also wanted to follow this direction from a technical-infrastructural point of view, with the aim of having technicians answer the questions that managers ask, ensuring that the technical infrastructure is able to provide the data base on which to think. Thus, it is clear to understand the prioritization of intervention in technical improvement.

 

What is a data-driven business strategy and how to adopt it

The preliminary work is to observe and understand fax lead processes and behaviors and find the best way to quantify and measure them, identifying what is important for each one . For example: how many customers, when they buy, how many transactions, how much they spend. But also how old they are, when their birthday is, what personality they have.