Last Updated on by admin

How Predictive Analytics In Data Science Is Being Used In Real-World

Predictive Analysis is an advanced technique in Data Science using which analysts can accurately predict the occurrence of future events from Big Data. The use of Predictive Analysis in Data Science isn’t just limited to any one particular sector. Starting from IT, Business, Banking, Insurance to Healthcare, Government & enterprises belonging to several other sectors are making use of advanced models in Predictive Analysis to scale & grow.

Predictive Analysis technique in Data Science relies heavily on the analysis of historical & present data to predict the occurrence of future events. Business enterprises are benefiting from Predictive Analysis to solve difficult problems & uncover new opportunities. If you are Data Science career enthusiast then, leveraging in-depth skills in Predictive Analysis is a must. Develop real-world skills in Predictive Analysis & other prominent techniques involving Data Science by being a part of our advanced Data Science Training In Hyderabad program.

Now, let’s look at some of the common cases where Predictive Analysis is being used.

  • Predictive Analysis For Fraud Detection

As cyber frauds have become more prevalent in the present days digital world, enterprise are relying heavily on the fraud detection models that are powered by combining multiple analytics methods. By combining Predictive Analysis with fraud detection models, it has now become possible to not just detect but to accurately predict the chances of occurrence of vulnerabilities and advanced persistent threats.

  • Predictive Analysis For Better Marketing Campaigns

The use Predictive Analytics in the marketing campaigns is helping the enterprises in improving their cross-sell opportunities. With the help of marketing campaigns that are powered by Predictive Models, businesses can attract, retain & grow their most profitable customers.

  • Predictive Analysis For Reducing Risk

With Predictive Analytics models, businesses are now in a position to accurately predict business risks & take appropriate actions to deal with it. This extensive use of Predictive Analysis for reducing risks can be seen in the field of Banking & Insurance sectors.

Know more in-depth about the applications of Predictive Analysis & work towards becoming a job-ready expert with the help of Kelly Technologies Data Science training program.

Leave a Reply

Your email address will not be published.