How it works


Seven steps to take advantage of data and artificial intelligence

As a company, you’re always striving for optimum service. From efficient internal processes to new service development, a data-driven organisation can do just that bit more for its customers. This is because you can use data as the central core for your activities to revolve around. We want to help you use data effectively in your company with each of our three services. Do you want to make data the beating heart of your organisation? Then we’ll be happy to explain in more detail the entire path to becoming data-driven, which we’ve already outlined in our step-by-step plan.


Free workshop

Shall we take the first step in a free workshop?

With data, you can focus on your customer and serve them better. This is why lots of people see data as the new digital gold.

We take the first step to making your company data-driven in a half-day workshop. We look at how much and what type of data you’re already collecting, what’s missing, where we can make quick wins, and what new information sources we still need to find.

You can expect:

  • An interactive session that challenges you to consider the role of data in your company
  • A mix of business and IT employees from your organisation who look for valuable data together
  • A specific action plan for your organisation to become data-minded


Request your free workshop now!

An interactive session that challenges you to think about the function of data in your company. Completely free of charge.

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Data and AI as the engine driving your business

You don’t become data-driven just like that. We follow seven steps to make sure your data works for you and your analytics factory keeps running round the clock. But our plan of action isn’t a linear process; if we notice, for example, that your organisation is still missing crucial data required to answer a question in one of the final stages, then we might have to revisit an earlier step. We operate with a multidisciplinary team including business consultants, data scientists, data engineers and service design specialists.




Step 1: Do you have enough data and how valuable is it for your business?

To support you in your transition to a data-driven organisation, we need to know your commercial model and your organisation’s challenges and strategic objectives through and through. Together with you and your employees, we work out which data initiatives are valuable for your business, and check if we have enough useful sources of information. A statistical conclusion based on four customers doesn’t offer much clout, after all. That’s we provide an estimate of the amount of data you already have or your software is already generating, and look at where we need to change or add new capture points.



Step 2: Business and technology mapping

Before data can become the foundation that underpins everything you do, we first need to look at how you’re currently operating. We analyse all your internal and customer processes, look at what software they’re running on, and take any pre-planned changes into account to provide you with this roadmap.



Step 3: All in order

In this third step we look at your processes and evaluate your software to see it’s all set up properly and connected in the right places. We do this to get as much data as possible from what you already have, and to find out where we can add new sources of information. Your organisation may well have lots of questions about the impact of artificial intelligence and data analytics on your current way of working; we ensure this change process is paid sufficient attention and properly integrated in your organisation during these next steps.



Step 4: Clear customer profiles throughout your organisation

We use customer analytics to provide statistics and insights that you can use to quantify the customer profiles in your company. This gives you objective clarity in exactly what your customer segments are and what types of customer are most valuable for your business. We help you profile them and distribute the information properly in your organisation so that everyone’s on the same page.



Step 5: Where can you grow?

Is there an opportunity to grow your business somewhere? We study the possibility together with you based on the data and insights gained from analytics. We look for concrete business cases to expand your current services or develop new ones based on your available data. What if you realise you’re not collecting the information you need half way through making a business case? Then we need to take a step or two back to set up software that does capture this data. We can continue again when we’ve got it.



Step 6: We put data your data to work

Data is the new oil. But how can you use its potential to help your business? One example: a recruitment agency can use data to predict how long applicants will stay in a role. To enable this, you first need a descriptive model that looks for data about the characteristics that affect a candidate’s loyalty. Once the descriptive model is ready, a predictive model is drawn up to be used when certain decisions or choices need to be made in a business process. We prefer to draw these models up in stages: from minimal viable product (MVP) to complete and fully integrated implementation throughout your organisation.



Step 7: Keep everything up to date

Life doesn’t stand still so we need to evaluate your data models properly at the right times. Certain factors can sometimes start to weigh more heavily over time, so algorithms need adjusting. You might even be generating new data from newly added software, in which case we need to look at how you can benefit from adding this data to your models.