The biggest challenge of digitization is the access to data from different systems and the associated data protection laws.
However, “no time” is often only one explanation for the fact that the technical hurdles for implementing digital strategies are perceived as insurmountable. After all, in many companies the rule of three applies: firstly, the integration of isolated IT landscapes is too costly, but secondly, it would be the prerequisite for successful digitization, without which, thirdly, new business models cannot be implemented. “No time” is therefore a synonym for “no money”!
An open-data obligation for machine data, for example, or a targeted promotion of data from the health care sector while respecting data protection is not a technical problem.
Actually, a kind of basic data regulation for the EU and Switzerland would be necessary as a counterweight. Also a data protection that meets the challenges. The concepts in the new data protection regulation DSGVO are not from the last century, but they have not been openly discussed under the new requirements of artificial intelligence, cloud and shared data.
An example from the healthcare sector: One person suffers from high blood pressure, another from diabetes II, and yet another person has to take blood thinners. These are all very treatable diseases of civilization. That such widespread diseases are idiosyncratic can be easily observed with a networked device (wrist tracker) – this constantly measures the values, the data is stored and evaluated by an app. For some people the pressure is too high in the morning, for others in the evening. Some react sensitively to stress, others to noise. For some the values go up after exercise, for others after a beer or a glass of red wine. However, everyone is given a standard medication: once in the morning five or ten milligrams. You don’t have to be a medical doctor to guess this therapy is not individualized. A finer dosage, tailored to each individual, would achieve better results with far fewer side effects. It would increase quality of life and life expectancy and reduce costs. But it just doesn’t work. To measure everyone individually would not be affordable, or would it?
Such an individualized therapy is possible. With modern sensors that permanently transmit values. With reasonable system connections and corresponding access protection and targeted traceability. In this way, one’s own medication could even be compared with the dosages of thousands of other people using clever algorithms and artificial intelligence.
This is just one example of how the effects of digitization will prevail in all areas.
Corona in particular has shown how quickly a rethink can take place. For example, in logistics, education, transport or insurance. Experts assume that in just a few years’ time no one will be buying certain cars, machines or tools – instead, the services required will be booked on digital platforms. They will be available and individually digitally billed when and where they are needed and with pinpoint accuracy.
Sounds like wild speculation, but in fact digitization is following a pattern – a tsunami that we already know because some industries and sectors have long been captured and transformed by it. The media, the advertising business, mail order, transport via Uber, booking accommodation via air-bnb, etc., are all being transformed. A similar effect is taking place in the retail sector, the taxi and hotel business has changed fundamentally. Even the first data-linked health insurances already exist.
All these processes have one thing in common: data play a decisive role. The winners in the battle for customers in the online market are companies that were best at handling data and had unlimited access to a lot of data. The big winners will be companies that find good conditions for data-driven business models.
Separate data silos:
Different applications are usually based on different data models and database management systems. This often prevents the chance of achieving a holistic view of corporate data. With adaptors and the data modelling tool, actesy builds a bridge between systems and databases. Subsequently, the tools actesy Workflow and RPA enable cross-system and automated business processes.
Changes in the law and compliance requirements make it necessary to continuously update business processes and the underlying applications. actesy automatically documents all processes, data and transactions down to the document and timestamp level. Thus, not only existing business processes but also new changes and variations can be documented in a validation-proof way. Good reasons to deal with the actesy metadata framework. Because with actesy you gain time, money and competence for your digital project.
We see us on your next digital project.
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