Browsing by Author "Salman Mazhar"

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    Intelligent content management system
    (UMT Lahore, 2022) Afaq Javed; Ahsan Tahir; Salman Mazhar
    The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly. By 2025, nearly 30% of all data created will be realtime (compared to 15% in 2017). By 2025, nearly 60% of the 175 zettabytes of existing data will be created. As we can see that there is no end to the data that's been generated over the years. So, this is where our project comes in. As we all know every company has data listed out in CSV’s, that could tell us how the company has been doing for some period of time. But to understand, companies have to hire people and do hours of work to generate an understandable report for the clients and company owner. So that is why to save that effort we have developed an algorithm that takes those files and generates a report based on the selected filters. This will not only save time, but also reduces the chances of human error. As we explained earlier how much data is generated throughout the world this will also help us to only have the data that is meaningful to us rather than storing all the files with tons of useless data