Every company has data. Simply by existing in a digital environment, information accumulates and digital analytics becomes a reality (whether you want it or not). But having data is one thing and knowing how to leverage it and turn it into a central element of business decision-making is quite another.
That ability to convert data into useful insights for your business is a genuine competitive advantage that can determine its success (or survival). And to have it, it is essential that your company becomes data-driven.
In this article we will explain the importance of establishing a genuinely data-driven culture across your different teams and how you can do it by following a concrete process. To be able to turn your data into strategic allies, you need the solidity of a culture like the one we are going to show you how to build.
A data-driven culture is one that moves from words to action. That is, a business culture that, in addition to having data, is capable of turning it into useful information that guides its decisions. And this must go beyond the analytics team. Data must be a useful source of information for all departments.
The great advantage of companies that can consider themselves data-driven is that, unlike the rest, they do not let themselves be guided by intuition. They are companies that have a thorough understanding of the real state of their business and the behaviour of their users, and that are capable of identifying changes and new trends before it is too late.
In any case, the real challenge for companies is getting this culture to reach every corner of the business. Getting departments beyond analytics to also understand and incorporate data into their daily work. And that is only possible by designing a good plan, step by step.
If you would truly like to take advantage of all the potential your data represents and have your business make far more strategic and agile decisions, what you need is a good plan. Avoid jumping straight to sharing your data with other departments, as that can have the opposite effect to what you are looking for.
Below you will find a series of steps and tips to follow to ensure your company genuinely incorporates a data-driven culture into its day-to-day. If you follow them correctly, the advantages will be so clear to everyone that nobody will want to go back to how things were before.
You need to start at the beginning and put your priorities in order. If your company does not have a clear goal, all the data you accumulate will be absolutely useless. First you must have your priorities clear.
What would you really like to find out through the data? What does your business need to improve? In addition to being clear on your company's overall objective, you also need to be clear on where to invest your efforts. Conversions, user retention, experience improvement… Data is key to achieving your business objectives.
It is important to avoid collecting data "just in case." If you start accumulating information without really knowing how it can be useful to you, all you will do is end up with an excess of data that sheds no light at all. It will only make things more complicated.
Boost Tip Involve all your company's teams in defining these key KPIs or essential metrics to consider. This process is not just something that affects data analysts. Everyone needs to participate for it to truly add value.
With your objectives clear, you should already have an idea of what data can add value and which sources of information are important. But this is the step in the process where we most often encounter errors: poor implementation, isolated sources, analytics in disarray… A disaster for your business.
The success of your data-driven culture will depend on how you collect and organise your data. That is why it is important to bet on quality data sources like server-side tracking and a clear structure that allows data to be compared and solid conclusions drawn.
Grandvalira Case When we started working with Grandvalira, we found several problems in their digital analytics that were preventing them from benefiting from their own data. Among them: imprecise data collection. To fix it, we repaired and improved the Google Analytics 4 and Google Tag Manager configuration, ensuring that data collection was accurate and aligned with best practices. → Discover how we improved their analytics and they achieved +276,000 € in revenue
The work does not end with good data collection. In fact, 60% of analysts' time is spent on cleaning and making sense of all that information that comes to hand. So data preparation is the next step you need to keep in mind.
Eliminating duplicate data, structuring it correctly, properly labelling all events, validating that it is consistent… Although it is a lot of work, good data preparation has many advantages for your business.
The best way to avoid spending a lot of time on this task is to get ahead of it. It is always better to design a good strategy than to spend hours and hours cleaning all that data that adds absolutely nothing.
Boost Tip Nothing like a good team to avoid problems. We recommend that you establish a specific data control system with defined roles, periodic reviews and as many automations as possible.
Who has not experienced looking at a chart for answers and finding only more questions? For data-driven culture to take hold in your company, you need data visualisation to truly add value (not doubts about its meaning).
The objective is not to have hundreds of charts, but to have the right ones. Analysis must answer the key questions of the business and other departments. That is why it is essential to involve the rest of your team in designing your charts so they create a visualisation that genuinely makes their work easier.
Dogfy Diet Case Dogfy Diet came to Boost with a huge amount of data and a lot of capacity to analyse the behaviour of their users on their own website. But what was missing was the ability to visualise that data correctly. We built them an interactive Power BI dashboard that allowed them to have a weekly and monthly view of their website, clear comparisons between seasons, a breakdown by acquisition channel and a view of new trends. In short: what all their teams needed. → Here is how we improved Dogfy Diet's data visualisation and increased their online sales by 66%
Now comes the most important step (and the reason we are here): decision-making thanks to a data-driven culture. If you have reached this step, it is likely that your teams are already capable of making better decisions. But it does not end there.
Yes, it is time to leverage that data to test new hypotheses, validate them with A/B tests and iterate the results. But it is also time to ensure the cycle does not close here. You need to keep measuring the real impact of that data and make analytics the central tool for doing so.
In short, if your culture has become data-driven, everything will follow its natural flow. But it will also depend on you to ensure that all of these steps are reviewed regularly and that, whatever you do, data continues to lead and guide every new decision that is made.
Changing company culture takes time. There are no shortcuts. You need to follow a good method and make sure all the steps we have shared with you are always respected. But it is worth it. A data-driven culture is synonymous with better decisions and a better future for your business.
At Boost we help businesses like yours make that culture a reality, taking all the teams involved into account and following all the steps to the letter: objectives, collection, cleaning, analysis and action. Do you want to stop talking so much about data and actually start using it in your daily work? Write to us and together we will design a genuine data-driven culture.
You have approved the budget, designed an incredible ad on Meta or Google Ads, and the CTR (click-through rate) is the envy of the industry. But when you...
You have invested thousands of euros in acquisition campaigns. You have made the user fall in love with your product, add it to their cart and... at the...
Artificial intelligence has gone from being a technological promise to becoming a key element in many business decisions. When AI enters the...
