Predictive analytics is the use of data, statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data.
The goal is to go beyond knowing what has happened to providing a best assessment of what will happen in the future. The public and private sectors have been key players in the advancement of computer technologies. Governmental agencies use predictive analytics like many other industries – to improve service and performance; detect and prevent fraud; and better understand consumer behavior. They also use predictive analytics to enhance cybersecurity.
Manual inputs for few hundred variables required to prepare the proposal. Inputs were not standardized The process flow was not structured properly. Required a single integrated platform to automate this process
Process automation which eliminated manual inputs and errors in data entry. Used python and Java front end which was an integral part in building the new tool
Delivered package file which increased 72% of their time efficiency. New persons can use this file without any training (we included Tutorials and Disclaimer). For the visualization, we created Customized navigation in the Ribbon menu.
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