5 reasons why Data Science can make your Finance team more productive

Data scientists must handle many aspects of the business, they need to have good technical (coding, Data architecture, and structure) and good statistical skills, but also have a good understanding of the business. Data science can be applied in multiple aspects of the business to solve problems such as optimizing efficiency or automizing the process. Often added to a different department (law, marketing, finance, merchandising, etc.) to support the teams and help them to better performance, especially in Finance. Data Science has become an essential asset to support and ease the analysis in a short period with low human intervention. Finance has always been about data, financial institutions have been the first ones to adopt data analysis, and now it is starting to leverage machine learning and artificial intelligence.