Getting the most out of data: the great challenge for organizations

Extract the insights relevant that are hidden in our business data It is an activity of great value that, unfortunately, continues to be a great challenge in many organizations. Even though the term “Business Intelligence” (BI) In use since the mid-19th century, many large organizations have not yet adopted modern and advanced BI tools.

The last two decades have caused a notable increase in the demands on the part of those who use these tools. Those who consume data are, today, accustomed in their personal life to highly advanced internet services that anticipate your needs, that communicate with them in a simple and understandable way, and that even use advanced interfaces based on text and speech. When those same people arrive at their workplace, they often find tools that are limited to returning large lists of data to which they must find meaning on their own, even in a repetitive and not very intuitive way.

There is a marked gap between the tools we use in our personal lives, with their advanced interaction capabilities through text and voice, and the tools that we are forced to use to extract relevant insights from our business data.

One of the most effective ways to solve the productivity loss caused by outdated BI tools is adopt a tool that makes extensive use of integrated Machine Learning and Artificial Intelligence capabilities.

In practice, that translates into features like automated machine learning model generation, completely unattended, that provide explanations of why unexpected data changes have occurred. With characteristics like this, those who must understand the reason for a change no longer need to spend an entire afternoon diving in endless data lists: it is the BI tool that is in charge of pointing out the origin of this anomaly in the data.

However, even that seems little today. In an environment where we have become accustomed to asking Alexa informal questions and having her answer us freshly, that should be our aspiration: to allow those who use BI tools to communicate with the system with the same level of naturalness.

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Recently, Amazon Web Services has launched Amazon QuickSight Q, an add-on to your Amazon QuickSight BI tool that lets you do just that: ask questions like “Who within this account have bought more units of this product in the last quarter?”And receive, in just a couple of seconds, the answer in the form of a table, graph or map. Therefore, the tedious process of accessing a list, downloading it in CSV format, importing it into a spreadsheet, creating a pivot table and analyzing it to find the same answer is over.

And all this, in addition, without the need to overwhelm advanced analytics departments with more workload, since the capabilities of Machine learning and Artificial Intelligence integrated into QuickSight are solutions low code / no code and can be created by the authors of the dashboards of BI.

If you want to know how these solutions can be implemented, what their applications are and everything they can offer you, you cannot miss AI4Real Spain, the event organized by atSystems and in which the AWS experts will show us how to extract these insights relevant that are hidden in our business data and will update the knowledge. During this session, we will learn how cognitive abilities accelerate and improve business decisions.

Reserve your place now for this first edition, 100% online and free, to be held next November 4th, and in which you will be able to know first-hand the new trends explained by the main manufacturers in the field of AI, as well as their news and products, and will focus on presenting the contributions that this offers to the business areas, in addition to expose how through this they can cover from the operations of the Back Office to the production processes of the Field Service.

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