You may have heard the term data driven, but probably not data informed . Data driven is used in data-based decision making. But what about data informed? What is it and what is the difference? In this post you will learn this and more:
Data driven concept
Data informed concept
What is the difference between both?
Which method should your company follow?
Data driven concept:
You have certainly heard of this model and may even follow it in your company. Data driven means “-oriented” and is a model adopted for decision-making in companies that collect a significant volume of data, work with it and then special lead make decisions that are fully targeted according to what they found in these analyses.
This model leaves aside decisions based on judgments, acquired experience, intuition and also the qualitative knowledge of its decision-makers.
Data informed concept:
This term is more recent and you probably keys to digital marketing for online success haven’t heard of it. also uses data to make decisions, but there is a big difference here: decisions are informed by data and not guided by it.
The big difference is that data-informed marketing takes into account human inspirations, previous experiences, learning, feelings and qualitative knowledge for decision-making . Since the data is complete and free of judgments, it does not consider many things external to what was collected, and that is where reason and human experience come into the process.
What is the difference between data informed and data driven marketing?
You might be wondering: What is the practical fax database difference between the two processes? Our experience here at Data Management has shown us that having a data-informed decision-making process is better than a data-driven process . The reason behind this lies in the hypothesis formulation process itself: we stop being submissive to what we see and start exercising analytical creativity, sharing and using data as tools, that is, a means, and not as an end in itself.
Having a data-driven process stopped making sense the moment we started to think that yes, all the accumulated learning, our judgments and previous experiences make a difference, as they help us create new hypotheses and carry out new tests.
Our job is to generate insights, improvements and ideas, leaving validation to the data.
Here, the great improvement in a data-informed model is the human repertoire , the group of decision-makers and the maturity in each one’s judgment, reinforcing once again that human capital is, above all, a competitive advantage.
Which method should your company follow?
Just like in Data Management, we want your company to follow the data-informed decision-making method , making data work for you and your company. We raise and consider hypotheses that would never be considered in data validation alone.