Data Warehousing and Analytics in Banking: Concepts
نویسنده
چکیده
In an increasingly competitive market, banks are constantly searching for sustainable competitive advantage to help them maintain their edge against competition. Over the years, banks have tried various drivers for competitive advantage, none of which were sufficient barriers for competitors. Understanding the behavior of their customers and using this knowledge to drive the interaction with customers is the most sustainable competitive advantage banks can obtain. Data warehousing and analytics provide banks with the ability to obtain customer knowledge, and the same infrastructure can be used for multiple business applications.
منابع مشابه
Introduction to HICCS-48 Organizational Issues for Big Data, Business Analytics and Business Intelligence Minitrack
The provision of the right data with appropriate quality according to the needs of decision makers or automated processes is crucial for successful operations of companies and government agencies. Management Information Systems, Decision Support Systems, Executive Information Systems, interactive online analysis (OLAP), data mining, dashboards and recently predictive analytics are examples for ...
متن کاملClinical Data Warehousing A Business Analytics approach for managing health data
Heterogeneous health data is a critical issue when managing health information for quality decision making processes. In this paper we examine the efficient aggregation of lifestyle information through a data warehousing architecture lens. We present a proof of concept for a clinical data warehouse architecture that enables evidence based decision making processes by integrating and organising ...
متن کاملThe Current and Future Role of Data Warehousing in Corporate Application Architecture
Data warehouse systems are widely accepted as a new middleware layer between transactional applications and decision support applications, thereby decoupling systems tailored to an efficient handling of business transactions from systems tailored to an efficient support of business decisions. For companies maintaining direct contact with large numbers of customers, however, a growing number of ...
متن کاملA Current and Future Role of Data Warehousing in Corporate Application Architecture
Data warehouse systems are widely accepted as a new middleware layer between transactional applications and decision support applications, thereby decoupling systems tailored to an efficient handling of business transactions from systems tailored to an efficient support of business decisions. For companies maintaining direct contact with large numbers of customers, however, a growing number of ...
متن کاملData Analytics on Consumer Behavior in Omni-channel Retail Banking, Card and Payment Services
Innovations in financial services have created challenges for banks that Information Systems (IS) research can address. My interests involve transaction cost theory, substitution and complementarity theory, and consumer informedness theory to understand consumer behavior and firm performance in the omni-channel world of digital banking. At a high level, my research inquiry asks: How can financi...
متن کامل