5 reasons why Artificial Intelligence and Business Intelligence complement each other

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Contrary to what science fiction has led us to believe, Artificial Intelligence is far from being a threat to humanity, at least in the field of Business Intelligence. It can become a great ally for analysts to explore data from multiple angles and obtain information of a precision and quality that just a few years ago we would not have believed possible.

Let's see the reasons why Artificial Intelligence complements and enhances current BI tools and facilitates new discoveries in your data:

Big Data within everyone's reach
Big Data continues to grow, which is why companies are increasing their investment in BI tools to process and analyze this information. Artificial Intelligence can transform abstract results into understandable information for all users, bringing the power of data to all those involved regardless of their training in business analytics.

Visualization beyond the board
An analyst can interpret information from a data set lebanon number data displayed on a dashboard, but their job becomes more complicated when they have multiple data sources coming together in real time. Artificial Intelligence becomes the ideal assistant for BI analysts by performing the required mathematical calculations; this way, the analyst can spend more time analyzing the implications for the business and thinking about the next steps to take.

Less errors
The assistance that AI provides to analysts also allows them to clean or model the data sets they are working on automatically, detecting formatting errors, null or incorrect values, streamlining and optimizing the daily tasks of analysts and giving them more time to explore different scenarios and possible alternatives depending on the decision being made.

More lines of action
Artificial Intelligence enables deeper prescriptive analysis, providing alternatives to address complex business contexts that exceed human cognitive capacity, suggesting other related questions and queries that other users have asked, enriching and improving the quality of the analysis.

Find the answer to more complex questions
Thanks to Artificial Intelligence, it is possible to perform complex analyses that exceed human cognitive capacity and obtain results in a short time. However, the role of the analyst as interpreter of the results of the analysis remains intact, since he is the only one capable of providing the necessary context to generate actionable knowledge for effective decision-making.