The importance of data in strategic business decisions

Los datos como clave en la estrategia de negocio

The importance of data in strategic business decisions

decisiones estratégicas de negocio

In business, decision-making is an everyday occurrence.

Whether they are of greater or lesser relevance, basing decisions on data is the best way to make the right decisions for the success of your business.

The generation and analysis of data is of vital importance for making key decisions that influence all areas of the company. Some of the areas in which data analysis plays an important role include:

Marketing in business

Thanks to the data obtained from social networks, search engines, web applications, etc. It is possible to obtain very revealing information about current and potential customers. Knowing how they interact with the web, their preferences, interests and hobbies is essential to create effective campaigns and strategies.

Business sales

The use of data in sales has multiple benefits, data analysis will allow you to know the performance of your sales channels. Analyse where you are most at risk of losing customers and find better business opportunities.


Financial data is one of the most collected and analysed types of data in business. However, good financial data analysis is essential for the profitability of a business. Financial data allows you to make predictions, make investment decisions and anticipate future scenarios.

Customer service

To achieve customer satisfaction, a good product or service is not enough; good after-sales and customer service is essential. Data analysis in this area allows you to track customer habits and anticipate their needs, analyse frequent demands or complaints and provide consumers with the service they want.

Collecting and compiling data in such diverse areas of the company can be complex due to the dynamics and particularities of each company and department. Thanks to Business Intelligence tools such as Qalify, this process is much simpler. It allows companies to optimise their time in creating strategies based on this data and therefore improve results.