Information integration

Nowadays, companies are absorbed in a highly competitive environment where strategic and business decisions make a big difference in the race towards permanence and business success

We could say that, the efficient management that leads us to this success, is based mainly on decision-making, being the use of knowledge, data and available information its cornerstones.

At the peak of Big Data technologies and the Internet of Things (IoT), we are exposed to more and more information from multiple data sources. Therefore, it is necessary to integrate the information that brings all these origins together in a single platform.

Data integration is a process that allows you to combine heterogeneous data from a multitude of different sources in a single application. This process makes easier to have different types of data for personal use available for the user, and their integration in business processes or functions, which positively affects the productivity levels of the worker.

The importance of data integration

It could be said that a good integration of information leads us, entrepreneurially, towards the word “savings”. Often, business analysts spend a lot of time collecting, filtering and calculating the huge amounts of data that goes into the companies every day.

Giving to these analysts a direct and orderly access to this information reduces considerably the time spent in the work of these study, which often triggers the discovery of new correlations between data from different sources that allow decision-making based on indicators that previously had never been contemplated.

Although it is important to make a good integration of a corporation data, often this is not enough, since obtaining and analyzing the information from this gross data seem like a very complicated task if that do not appear in the right way to the user.
A correct treatment or processing is essential at the time of obtaining benefit from the integration phase. It is essential to support gross data with all kinds of charts, dashboards, synoptics and key performance indicators that allow the user to maximize this exposition of the information and extract as many conclusions as possible, making easier to take decisions.

How IDbox helps in the information integration

From IDbox we bear it very much in mind, so much that we base our product on three fundamental tenets: Integrate, Process and Analyse data. IDbox allows integrating any source of information, both physical devices and sensors, dataloggers, PLCs, recorders ... or software systems such as databases, files, web services,scadas...

All this information is processed by default for a logic through statistics, aggregates, counters ... and an especially-made logic adapted to business needs and designed directly by the user, generating new compound signals and new events to facilitate the task of addressing a concrete business problem.

Once the data has been processed, IDbox has an interface web that allows analysing the information through graphical analysis tools, reports, correlations, maps and synoptics, all editable and extensible by the user, and with the main objective to facilitate decision-making for the user.

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