We live in a time of abundance when it comes to information. Any activity of any company generates billions of data points that, when used well, allow it to improve its results and achieve its objectives.
But what happens with that immense amount of data that goes unused? It just sits there, waiting for someone to find a way to make use of it or dispose of it. But if nobody does, all it does is take up space.
That is precisely the real challenge for companies today. The challenge is not obtaining and having data. The true challenge is managing to do something useful with it. And that is what we will talk about in this article: how to turn your data and insights into concrete actions that allow you to generate a measurable impact on your business.
The true value of data lies in the decisions
Let us stop kidding ourselves: every company out there accumulates dashboards, reports, metrics, and vast amounts of information it does not use. And that is normal. All the tools, software, and services they use provide them with information that seems valuable at first glance, but ends up being overwhelming.
As the popular saying goes: less is more. In fact, when it comes to analytics, it is always worth more to have one good piece of data than to accumulate hundreds that add nothing. Because precisely, a good piece of data is one that becomes a decision with an impact on the business.
In short, data has no intrinsic value. It is us — digital businesses — who must be capable of giving it that value, knowing how to leverage it and turning it into an engine of change. Into something useful, in other words.
Keys to moving from insight to a decision with impact
An insight or a good piece of data cannot always be turned into a decision with impact. Sometimes it can simply add the necessary information to make that decision, or merely allow us to verify that a decision is heading in the right direction. It is the use we make of those insights that turns them into a useful tool.
To know how to make the most of all those data points you accumulate and insights waiting to be discovered, there are 3 things you need to keep in mind. 3 pillars that will allow you to identify which piece of data can help you with what and how. We will explain them:
Key 1: Relevance
There is a basic idea that must always be clear: not all data is useful. You need to know how to ask the right question to identify those areas that deserve attention. Because instead of measuring everything, we should focus on those metrics that truly align with the business objectives.
That is: why pay attention to metrics that do not affect your business at all? If, for example, the location of your users is completely irrelevant, perhaps you do not need to store hyper-specific data about their usual place of residence.
The Grandvalira case
When we started working with the largest ski resort in the Pyrenees, we realized that their analytics was not focused on one of the most important aspects of their business: promotions.
We redesigned a tracking system that allowed them to understand which promotions and which banners within their website were generating the best results so that, ultimately, they could understand which offers they should invest more in.
See the full Grandvalira case →
Key 2: Activation
Another aspect to keep in mind is the actionability of data. What use is an insight we cannot do anything with? Data that does not allow us to interact with it is nothing more than pretty numbers and reports. But useless ones.
We always need to design dashboards that are actionable and that integrate into the day-to-day work of the different business teams. Visual, understandable, always up-to-date dashboards that allow teams to naturally discover opportunities in their work.
The Dogfy Diet case
With a subscription model like theirs, this Spanish pet food company needed a great deal of visibility into the state of their subscriptions and the number of active users. And without good analytics, achieving that was impossible.
At Boost we helped them design a dashboard that allowed them to see the state of the business in real time, as well as compare different weeks and months with each other. This helped them identify key trends in user behavior and plan marketing actions to respond to them.
See the full Dogfy Diet case →
Key 3: Iteration
Finally, it is time to talk about miracles. About something that does not exist in the digital world (and even less so in the world of web analytics). Like everything in life, the value of things increases over time as you gain perspective on them.
The value of insights appears when those changes they helped identify are put into practice and their effect is measured. That is why it is essential to implement learning cycles so that data adds value: you need to test, adjust, and scale what works.
In short, data will never have value if you are not able to apply an agile, data-driven mindset. It is in your hands to be capable of trying new things quickly, measuring their impact, and adjusting based on results.
It is not about having data, it is about knowing how to use it
In an environment where everyone talks about being "data-driven," what truly makes the difference is not the amount of data you have, but what you do with it.
Turning information into action is not magic: it requires patience, a method, and a results-oriented culture. That is precisely why companies that manage to transform their metrics into profitable decisions all have one thing in common:
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They choose which data matters.
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They put it in the hands of the right teams.
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And they use it as a basis for learning, improving, and growing.
Both in the case of Grandvalira and DogfyDiet, what generated impact was not just having well-designed dashboards, but having linked them to concrete business decisions. That is the key.
Learn to get real value from your data with Boost
You probably have the feeling that your data has far more potential than you are actually using. And you are right. Turning those insights into decisions with real impact on your business should be an absolute priority for every digital business.
But do not worry. We are here for that. At Boost we are experts in identifying which data is useful to us, what kind of opportunities they are linked to, and how you can make the most of them. Write to us today, tell us about the state of your analytics, and we will turn it into useful actions for your business.