Chapter 6: Importance of Data Wrangling: Banking in the Metaverse

The metaverse marks the beginning in a new era of digital interaction and innovation, having a significant impact on a variety of established sectors, including banking. This chapter exposes readers to the principles of data wrangling, laying the groundwork for comprehending its significance. It also looks at the specific issues presented by Metaverse Banking data, which includes a wide range of data kinds. To ensure consistency and practical relevance, these data must be processed in real time, whether for individuals or organizations. This chapter then transitions to unleash the power of data (which forms the lifeblood of Metaverse Banking), followed by a detailed explanation of advanced data-wrangling techniques and integration with Artificial Intelligence and machine learning. It showcases case studies illustrating how effective data wrangling has helped drive Metaverse Banking platforms by utilising real-world use cases that show the best practices of metaverse entities for a more customer-centric experience. This chapter also explores future trends, expecting the evolution of technologies for data wrangling and their possible repercussions. It further delves into regulatory considerations the nascent industry faces. This chapter underscores the need for a planned strategy in data management and provides suggestions along with best practices to guide stakeholders towards placing metaverse banks based on data. As the metaverse continues to expand and change, wrangling data will remain how banks can win on this digital frontier by keeping themselves nimble, safe and consumer-friendly in an ever more virtual world.