This article discusses challenges and role of Big Data in the banking sector through the transaction cost theory approach of Williamson [1]. Following a qualitative approach, this paper reveals the actions currently undertaken by the two leading banks in the Lebanese market in order to optimize ...
The considerable increase in the volume of data generated and governmental requirements are the main forces behind adopting Big Data analytics in the banking sector. With the development of technology, consumers are using more and more devices to start transactions (such as smartphones), which impact...
2. Big Data in Banking Sector We keep our valuable properties in the bank for ensuring security. But a bank has to go through a lot of strategies to keep your wealth safe and well maintained. In each bank, big data is being used for many years. From cash collection to financial managem...
Impact of big data analytics on banking sector: learning for indian banks Procedia Comput. Sci., 50 (2015), pp. 643-652 View PDFView articleView in ScopusGoogle Scholar [99] K. Zhou, C. Fu, S. Yang Big data driven smart energy management: from big data to big insights Renew. Sustain...
Final thoughts on using Big Data in the banking sector Doing the things the old way is too risky nowadays. The companies must evolve and grasp the new technologies if they want to succeed. Adopting the Big Data analytics and imbuing it into the existing banking sector workflows is one of ...
Oracle’s Big Data industry solutions address the growing demand for different industries such as Banking, Health Care, Communications, Public Sector, Retail, etc. There are a variety of Technology solutions such as Cloud Computing, Application Development, and System Integration. ...
Major Sectors Using Big Data Every Day The applications of big data provided solutions to every sector like Banking, Government, Education, and healthcare, etc. Banking Since there is a massive amount of data that is gushing in from innumerable sources, banks need to find uncommon and unconventi...
Big data is one of the most recent business and technical issues in the age of technology. Hundreds of millions of events occur every day. The financial field is deeply involved in the calculation of big data events. As a result, hundreds of millions of
Ever since the emergence of big data concept, researchers have started applying the concept to various fields and tried to assess the level of acceptance of it with renown models like technology acceptance model (TAM) and it variations. In this regard, t
The latter processing may also require support for real-time analytics over the heterogeneous types of data (i.e., structured/unstructured, streaming/data-at-rest). Management of heterogeneity is therefore one of the most important concerns for big data management in the financial sector. Currently...