Chapter 7: Data Management and Analytics in Finance

The chapters emphasise the importance of data management from the perspective of the business management process, where big data is the most crucial and pressing technical and business issue in the modern realm of technology. The same data has a significant influence on the current financial environment. Organisations are facing challenges in explicating complicated financial data manually and using it to drive their decision-making processes. Data-driven decision-making is a dominant tool for any professional. It enhances precision, alleviates risk, improves efficacy, aids financial management, offers customer insights, provides a competitive edge, supports strategic planning, enables performance tracking, fosters innovation and has predictive capabilities. The power of data makes the organisation more prosperous and resilient in the face of change. By making informed decisions based on data and analytics, organisations can unlock their full potential and achieve sustainable growth. The chapter suggests a data-driven culture in the organisation with the help of strategising in terms of data collection, analytics and data management by establishing governance and regulatory practices to ensure data security and integrity. The latter part covers the forecasting and transformative ability of data by integrating machine learning and deep learning models. The chapter also covers the visualisation perspective of the data by transforming the information into a visual setting, illuminating the hidden insights and making them tangible and relatable. The chapter closes with a suggestion for managers to stay competitive, make more reasoned and sound decisions and adapt to the evolving business environment.