Introduction to CRM and use of client data

Big Data can be defined as the huge volumes of data being generated everyday that can be mined for information. The possibilities that it offers are endless but you need the right tools to derive insights from large amounts of data.

Big Data CRM refers to integrating big data into a company’s CRM processes with the goals of improving customer service and predicting client behaviour.

By finding patterns and trends in this data, companies can adjust their products and services in order to boost profits and increase customer satisfaction.

How do companies use Big Data CRM?

  1. Predictive Modelling – Big Data allows businesses to predict how customers will behave in the future based on their past buying habits

  2. Market Analysis – Using CRM and Big Data, customer trends can be used to predict needs, which can direct product development and promotional methods

  3. Improved Customer Understanding – Through integrating big data with CRM, companies can understand how it is perceived by online customers. This can allow them to improve customer experience.

  4. Revenue and Growth – Big Data can help companies to make more informed decisions and can sell faster by knowing who their target audience is.

Immediate Future

Although in previous posts we have analysed the future of Big Data, we would like to explain how this phenomenon will affect the field of marketing. We should take into account the following predictions:

  • Customer data will be used 100%. Even though companies have implemented data analytics strategies, they are not used to the maximum level. Thanks to this technology, we will be able to take advantage of all the available data, thus obtaining more accurate reports.

  • Better communication strategies. With the help of Machine Learning and Artificial Intelligence, we can improve the analytical capabilities of the company. As professionals, we must decide how to use the data.

  • Is Smart Data the same as Big Data? Not only is it important to know your customers, but it is also important to anticipate what they need. It is necessary to develop a natural evolution from analytical to predictive models. With this, we will be ready to meet the needs of each of our customers.

  • Data as the engine of everything. Thanks to the data, we can really understand who the current consumers are. In general, it promotes a better knowledge of society.

We can count on state-of-the-art technologies or high-level professionals. However, what does it take to make a successful marketing strategy using big data?

Factors for a successful strategy

There are many companies that are part of the exciting world of data. However, very few really know how to use big data to its full potential. These are some factors that you should keep in mind to implement a successful marketing strategy using big data:

  • A well-defined strategy. It is very important to not only have the best information infrastructure, but to also develop communication flows that remain established over time.

  • Define policies in the information flow. Thanks to the creation of open communication channels between departments, we facilitate the communication between them. It is important to use this because it will boost performance when it comes to processing data. Therefore, it will be possible to carry out subsequent analysis and understanding more effectively

  • Personalise first. It is important to remember that when developing a big data strategy with these characteristics, we should never forget the main purpose of it. We must create a memorable experience for our current and any future clients.

How we use it at Agilia Center

At Agilia, we are lucky to have a team that specialises in emerging technologies such as Artificial Intelligence or Blockchain. We count on Big Data and the transformation of data into relevant and useful information.

Do you want to find out more about our services? Get in touch with us now.