The professionals related to the technology sector have been knowing of “Data Integration” as a concept for a long time. If we were to search in Wikipedia, we would find the following definition:
“Data integration involves combining data residing in different sources and providing users with a unified view of these data. This process becomes significant in a variety of situations, which include both commercial (when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved.”
In the present context and in all fields, we are living a revolution that means a transformation from the analog era to the digital one. Thanks to this change, the companies have not only the need to adapt their business processes, but also the opportunity more than ever to impulse their business through this era’s protagonist: THE DATUM.
The amount of numbers and diverse applications that generate data in companies is growing and growing, that is why we have a critical element that is the necessity to integrate those data in order to have a unique vision.
For this reason there has been a proliferation of cloud platforms and services that offer us the possibility to integrate easily the data, transactional systems that accumulate information generating an important cost reduction and the possibility to detect business opportunities in real time.
In this sense, now more and more, the companies implement solutions of Business Intelligence in different areas, what allows users to turn data into knowledge as an essential backing for correct decision making.
This scene, which as we said before has the datum as a protagonist, requires of a system capable of combining data visualization with the rest of company management applications. What if it were possible to integrate the data once “analyzed” with the rest of applications? What if the analysis itself had a direct impact on how those data are integrated? There should be a solution capable of closing the decision making process circle easing the execution of the measures that this comes with.
This singularity turns ‘Data Integration’ into what we denominated ‘Data Intelligence Integration’.
Let’s simply imagine the applications that this solution can have in the sales department of any company: it could detect business opportunities for cross selling or upselling and plan actions in their CRM, it could perform consultative selling processes and generate opportunities, it could prepare tasks for the salespeople for a particular group of clients, or propose products or services to their clients according to the behaviour pattern of other clients, etc. This way we can design infinite possibilities according to the casuistry and the specific needs that we can transport to other areas of the company that we will be revealing in successive posts with all detail.
We hope our approach seems you interesting and, above all, a useful reality for all days of the business user.
Seeing you soon,