A company can be considered intelligent when it is able to augment decisions efficiently.
This requires the use of data - and so much more.
"To lose control" is the greatest fear, while "to have control" is the greatest illusion.
- Bjarte Bogsnes
The intelligent enterprise
Having an unprecedented amount and variety of data at your disposal only adds value in rather trivial scenarios. Simple and repetitive tasks can already be automated with a variety of solutions. This always works when all rules and parameters of a situation are known, i.e. can be derived from the past. In all other cases, human beings will also be needed in the future. But how do we deal with all this rest?
We have to realize that when trying to completely map reality or predict the future, it is often a matter of compensating for a lack of agility. The more responsive a company is, the less it needs the false comfort that comes from planning and forecasting. We should simply stop deceiving ourselves. Only when we have managed to accept this uncertainty can data help us reduce cognitive distortions and thus enable us to make better decisions.
Data in complex situations unfold their true value only when we consider them in the context of other available information. In an intelligent enterprise, this should be possible seamlessly across departments or geographical distances. All processes should be aligned with value streams and no longer with domains. Because all problems are ultimately business problems, they should be treated as such - not in silos.
The good news is, to realize this vision you don't have to turn the (whole) company upside down, start a huge IT project or pay many expensive consultants before you can start.
You need a tool that can provide you with this information at the moment when important decisions are made. While this may sound surprising to many IT departments, it doesn't require systems integration. We just have to think a little bit around the corner...
With beeBlum you can easily skip many steps of classic data management. While you as a decision maker are busy most of the time trying to understand the data in the system, with beeBlum you simply go ahead and request the right data directly from the responsible person or team. Situation-specific and custom-fit.
For this you need a communication platform that is particularly good at handling data. That enables you not only to communicate, but also to make decisions. Which takes into account your goals and resources and which will achieve much more in the future.
In order to act data-driven today, to involve people in a meaningful way and to make better decisions, you simply log in.
The direct embedding of algorithms, such as machine learning, into the decision-making processes is an essential part of the path to the intelligent enterprise. This allows the software to learn continuously and adapt to new situations data without the user having to be actively involved.
The contextual information contained in the decision making process, such as the source of information, time, location, user profile information, subject areas, etc., creates a picture of the interrelationships between business processes, current tasks and goals that is still completely hidden for most companies today.
Thus the intelligent enterprise will be able to prepare autonomously founded decisions, which do not only correspond to the facts, but to a good part also the semantics.
Thanks to the patterns and insights gained from past actions, we will not only be able to make much better decisions in the future, but also receive recommendations on how to tackle a specific problem.