The future of data analysis

Integrated data analytics will be a key asset for real-time decision making in the future.

4 De Diciembre Del 2019

Integrated data analytics will be a key asset for real-time decision making in the future, providing useful insights more easily and allowing to start actions with the application. Roughly have of today’s organizations use cloud-based services for their analysis, and most of the ones not doing it right now, are starting to consider it in as a short term goal.


 Digital leaders are people who understand the real impact of data. They actually know how to make the right questions, commercial-wise, and acknowledge the importance of integration and data quality, and also the importance of pre-launch testing, since if some product has not been tested, you can’t trust your data’s output since there is no point of comparison. The human factor and data design are other two facts that digital leaders must understand.


In years to come, data flow analytics from IoT events will become a standard component for almost every big data implementation, since more than half of these analytics will be generated by prebuilt apps instead of business intelligence tools. 


Regarding the use of IA and automatic learning in the next decade of business analysis, for those who just started, problem number one shall be the lack of skills. Three out of four organizations state they don’t have the skill set for this kind of analysis, and most of these believe that even their users can’t understand this data. 


There are two ways to remediate the lack of these skills: One is to hire a third party provider to take care of the data analytics aspect of the business;  two, is to acquire tools that already have this aspect integrated, requiring less skills from the organization.


Using data effectively in these times of digital transformation is not easy . In order to make it work, it requires your company to have their data completely ordered, create a backup data base and prepare the data to transmit and speed up.

Usar los datos de manera efectiva en la transformación digital no es fácil. Para que funcione, debe tener su empresa datos en orden, crear una base para respaldar, preparar datos para transmitir y agilizar.