Acquiring businesss intelligence through data science: A practical approach


Throughout the history of humanity, the way that humans transmit intelligence from generation to generation has changed multiple times. Beginning verbally and through manuscripts, continuing with patented inventions, official and private documents, nowadays, the different ways of adapting and implementing the knowledge acquired through data are being highlighted. Whether with regards to human, artificial, or mixed intelligence, data can provide consistent and meaningful answers to address the challenges of today's businesses. This scientific paper contributes to the vision of a hybrid human and artificial intelligence approach, thus explaining, exemplifying, and presenting research on how today's organizations apply the concept of data efficiency and effectiveness from a business intelligence perspective. The fact that decision-makers can be more performant with the help of data science and machine learning has the power of unlocking strengths and opportunities at an unprecedented rate and therefor is the new norm in the modern business world.



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL