Business Intelligence trends for the future

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After going through several stages in their career, some professionals may feel that they have reached a level of completeness regarding everything they could learn to expand their knowledge.

Graduation, postgraduate studies, trips australia physiotherapist email database abroad, a respectable experience in management positions throughout life and that feeling that the entire market fits within your hands.

Well, it's 2017 and the world doesn't work that way anymore.



Dynamism, fluidity and speed are concepts present in all areas of activity.


Market trends arrive and consolidate much faster than forecasts can predict. There is no static place for good professionals within a market that is constantly changing, even for those who have years of experience and now occupy a leadership position.



Business Intelligence is the perfect topic to prove this diagnosis, as it is a subject that is directly linked to the new times that have already arrived.


What is Business Intelligence (BI)?
Also known as Business Intelligence , it is a set of strategies for obtaining , selecting , analyzing and managing relevant information for a business.



Business Intelligence is linked to decision-making, strategic planning and market knowledge.


This is a relevant concept for all companies, regardless of size or segment.

In recent years, data has exploded and become big. Even bigger are the possibilities for how it can be used strategically to achieve big results .


Discover the 9 main trends in Business Intelligence
We've made a list of the main Business Intelligence trends for the coming years and it's good that you know them all!

1 – Predictive and prescriptive analytics



Once BI is consolidated, strategic business management will be ready to answer two questions:



What will happen?
How can we make this happen?
To reach a satisfactory answer, it will be important to know what predictive and prescriptive analyses say :

Predictive Analysis:

In Business Intelligence , Predictive Analytics is the practice of extracting relevant information from existing data sets in order to predict future probabilities.
This practice allows us to diagnose what might happen in the future with an acceptable level of reliability, including some alternative scenarios and risk assessments.

Applied in the company, Predictive Analysis will offer the ability to, based on reading historical and current data, better understand customers and partners, outline better products, identify potential risks and opportunities for new business .