In business environments, there are a lot of databases that provide certain information at specific times for certain instances. At Telesa, we believe that you should have a central component that talks to all of these databases and maps the relationship between them so you can understand how they fit together. Rules are then put in place to understand how they must interface with each other and how they rely on each other so that you can control and understand the flow of data.
Tools can then be put into place to understand the compliance and rules around this data, and then track that compliance. In order for this to work, you need to utilise a process that is as automated as possible and that doesn’t depend on human intervention, especially considering that this data can be massive amounts of data. An automated process allows these processes to speak to each other, understand each other and put the correlation between the data in an understandable presentation.
Once this process has been automated, there are certain processes that need to be put into place to support the business:
- Escalation Process:
This will allow you to know what to do in situations when things go wrong or in turn, when they go according to plan. An escalation of events will trigger new events in that process as well. Ultimately, all of this is to create two things:
From an awareness point of view; if you understand the flow, importance and the relevance of information, you can actually understand the impact it would have on you and your business. The massive load of data makes it impossible to understand and see the correlation between the data. You need to have a mechanism that selects data that is important, when it is important and who that data is important to, so that action can be taken based on the data presented.
Once you have all these processes in place, it becomes important to understand the relevance of the information that is being received. Value needs to be added to the data that you are receiving in order to fully understand the relevance of the data, especially from a business point of view.
Once you go through this process of adding value to your data, you can start taking that same data and applying it to other sets of data and other environments. This allows you to get more value, so that you can take your data and sell it.
As an example: Nokia, many years ago, was a wood mill. In the process of producing timber, they discovered the lines of telecommunication and then they started moving the business into providing technical education.
If you look at where they are today, they have got a lot of data and they are using their data to provide information to support other technologies. As an example, every single drone in the world cannot operate, unless it has Nokia software on it, purely because they have got the mapping of every single no fly zone in the world.
In conclusion, the massive amounts of data that a company is presented with is impossible to sort through without an automated system in place that finds correlations and relevance in the data. A central component provided by business intelligence tools is needed to provide full transparency of the data, which allows the data to be applied to relevant sectors within the company and provides employees with a deeper understanding of the data.
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