This Data Driven modality pursues a clear objective: to improve the consumer experience. To do this, there are several ways to do it. However, we comment on the most common:
- Carry out personal marketing: It is about studying the target audience that the company wants to address to, later, transmit a correct message at the right time. In this way, companies manage to convert potential customers into current customers.
- Product launch: When developing a new product and launching it on the market, having data about current and potential customers can be a key factor. If we collect and analyze the data, we will know what the tastes and preferences of consumers are. In this way, products that meet the needs of our target audience can be designed and produced.
- Use of appropriate channels: By knowing our current customers, we will be able to know through which channels we should transmit the information to them. The campaigns must be exposed in those places where our clients, both current and potential, pay attention.
Data Driven in Human Resources
Over time it has been thought that in everything related to the Human Resources of a company, it is necessary to carry it out through more instinctive or emotional approaches. However, it has been discovered that making use of a company’s internal data can make a certain organization more efficient. These are the 3 factors that can make a difference in Data Driven Human Resources:
- Anonymous surveys: It is important to know the opinion of the workers about the organization. In this way, it will be possible to know which areas of the company have room for improvement or are not working correctly. With the data already collected, it can be analyzed and studied which factors can be improved.
- Assign tasks: If we know what qualities and skills the company’s workers possess, it will be easier to assign them tasks. That is, if we know that a worker has certain strengths in a specific area, we can entrust the task to that worker.
- Recruitment of personnel: By studying the data, referring to the candidates and the position that is offered, it will be much more likely that the final selection will be the right one.
Real-World Success Stories
To illustrate the transformative power of data driven decision-making, let’s explore a few real-world examples:
Netflix, the streaming giant, is a prime example of data driven success. They analyze user viewing habits and preferences to recommend content, increasing user engagement and retention.
Amazon utilizes data to optimize its supply chain, predicting what products customers will purchase and where to store them for faster delivery. This results in increased customer satisfaction and cost savings.
In healthcare, data driven decisions have improved patient outcomes. Predictive analytics can identify patients at risk of specific conditions, allowing for early intervention and better care.
In short, we can affirm that the use of data is a trend and that organizations must bet on its use in order to continue working under guarantees. The fact of knowing everything that happens inside and outside the organization, thanks to internal and external data, has become a key process for making strategic decisions in the short, medium, and long term.