Artificial gnomes

Companies have a lot of data and want to "do something" with it. Or they even need to. Data is the new gold. It's often put that way, but it doesn't actually mean anything. It causes these companies, for example, to think very hard about what kind of data they have. And how they think about that, we often don't even know. Maybe they think about file servers or card indexes or piles of paper or mountains of photos. And what they would want with that is and remains a mystery, data is just data. So by talking about data, we make it complex. And vague.

Maybe it's from my childhood, but I can vividly remember when people did refer to "the gnomes" when something had happened somewhere that seemingly no one knew about. "Who put away all the lego?" "Who ate the M&Ms?" or "Who lost my gloves?". The gnomes, in other words. Not immediately less vague, of course, but still very similar to what Datacadabra does. The gnomes are clever little creatures that are invisible and perform all sorts of tasks around the household. If we replace little creatures in "digital intelligence" and household in "businesses" then we are already there. Just as the gnomes made the household run smoothly, Datacadabra makes businesses run smoothly.

Yes. Smart is the key word, though. That's where data comes in. After all, with data you can analyze and train. And also in that order. You analyze to find out what cleverness the data might harbor and then you can use the data to train your own gnomes. Gnomes that turn off the heating when no one is in the office. Gnomes that determine the right day of the week to turn on a particular machine. Gnomes that predict property maintenance. Gnomes that know exactly which songs will appeal to the public. Smart tasks, in other words. Small pieces of digital intelligence that enrich people and organizations.

Well the same way parents raise children. At first you clean up everything for them, but then you train them to clean up their own mess. Or spread their sandwiches or take off their shoes. It makes perfect sense that that doesn't come naturally. That's how you start. By realizing that. Funnily enough, within companies, we often settle for all the tasks that "come with it. But it pays to see if you can't train your own gnomes. Gnomes who walk through your crops to see where the fungus is, so that you only have to fight on that spot and not blindly spray the whole crop. Gnomes who count your sheep. Or creating your perfect employee profile. Or recognize certain debtor behavior and alert you. So: suppose you had access to an infinite number of gnomes? What would you have them do? And more importantly, what would you do better yourself or what would you have more time for?

We help you do that. You take the first step partly by doing a test with us about the data-drivenness of your organization to discover how ready your organization is for gnome work or digital intelligence. The resulting score indicates whether specific digital intelligence is worthwhile for you. Next, we organize a P-scan. In the P-scan, we put a consultant and an AI specialist to work within your organization to determine precisely the possibilities based on the themes of Productivity, Prediction and Prevention to estimate what smart tasks can be and what they will bring you.