Everything around us is information that has to be processed and often also to be managed. We humans have created many technologies that support us in this. The requirements for these technologies can be divided into four main factors. data, network, availability and speed. With this introductory overview, I would like to share my understanding of information technologies. This model aims to identify possible obstacles and potential investment areas for the IT system of companies.
The introduction of Star Trek data has made it clear to people decades ago how access to unlimited amounts of data can have a positive impact on our actions.
Big data is the term that immediately makes you jump into your head. However, it is important to note that growing volumes of data also require growing management. This can be done automatically, assisted by an artificial intelligence, or in the most elaborate case manually.
However, this data alone is of little value-only at the moment when the absolute values of our data are placed in relation to each other, we get usable information. -the basis for knowledge. -The origin of products of any kind.
One is the networking of users. Who can interact with whom, how, in what way. Broken down to the question whether one can work in parallel, only consecutively, or perhaps not at all in the same document. The consequences are obvious.
On the other, our data will only become valuable information as soon as we put it in relation-you network. It is very little to know how high a person’s income is, if we cannot, for example, draw a BIGMAC index, or if the person at all consumes BigMacs.
Different: consider carbon. Carbon atoms themselves are pure data, but depending on how they are networked, their information changes-they occur as coal or as a diamond.
And so you can also understand the networking of the users. Depending on how your team works, you decide whether you’re a coal or a diamond.
For one, it’s about obvious. Data that I cannot access have no benefit to me. However, it is added that the data is also findable. Handling. Operability of the devices. We’ve all probably already worked with software and hardware that had a structure that we understood only after ridiculously many uses-if at all. In addition, there is the availability question in the case of non-impressionableing impairments. For example, a missing Internet connection. -If my colleague can only act when there is an Internet connection, we are limited in our actions as a team. This requires solutions that increase efficiency by reducing downtime. And so we come to the last point:
It is nice if everything is connected, available and available, but it must also be quickly reachable. But that alone can make us damn inefficient as soon as we have to wait several seconds or even a few minutes for some small actions. This also affects the availability of information.
Consider our neighbour as a potential customer. If we want to know as much about you as possible, we could accompany you all day and collect all the necessary data and connect and possibly upload somewhere to make it available to others. The data are now available for us, but are collected very ineffective. So it also plays a role in how quickly we get to the data. If we can simply download all or ideally only the necessary data of our neighbour at the push of a button, we will save enough time to generate a return with the data, for example, instead of collecting the information.
Yet another core factor-security is hovering over all of this. But this is a different story for the time being.