Rapidly developing technologies have automated many aspects of the finance sector, particularly data processing and analytics. As a result, the finance sector needs more candidates with high-level database and spreadsheet management skills to transform large amounts of data into usable information. However, individuals with these competencies are rare, and consultants with these skills are expensive for employers to contract.
For many companies, the solution is to train members of their finance department to be competent in data analytics, big data, or machine learning. Employees with these qualifications can build and implement cutting-edge data processing tools and systems that will keep companies ahead of their competitors. To maximize the usefulness of automated processes, finance professionals may also benefit from learning programming languages such as JAVA or C++.