EN ENBig Data requires specific architectures, studied in detail and custom-built, to collect and manage the data of interest with due accuracy. Since every company has specific needs, it is essential that it has the right tools to process the information it needs: nothing more, nothing less.
The collection systems are built on the needs and objectives of the client. To avoid leaving your data asset unused and to select quality data, consistent with the purposes and cleaned of unnecessary noise.
Data generated by mobile applications, real-time input, copious archives: data has many origins and travels at an increasingly high speed. A directional rhythm becomes essential to channel raw insights towards the right trajectory.
An organized and well-thought-out data structure creates sharing within your company: every single business entity can have access, in a coordinated and synchronous way, to the processed data. The architecture creates an informative framework where information flows between the various operational and decision-making units.
The meticulous complexity with which Big Data records the actions of multiple variables, in the frenzy of the same moment, requires ordering foundations. The architecture acts as a master, simplifying your analyses.
Data Processing methods allow the evolution of data into information. They ensure the quality of the data itself to obtain targeted answers to business questions.
Original, native data in very different formats are integrated into Data Lake systems. A large storage capacity creates a perfect basin for collecting and storing raw data.
The repository of already filtered data allows for simplified and rapid analysis. Useless data falls through the sieve of the first screening, freeing up space, and the remaining data converges towards precise objectives.
