Considerations for Building a Real-time Data Warehouse

March 5, 2019

In today’s fiercely competitive marketplace, companies have an insatiable need for information. Key to maintaining a competitive advantage is understanding what your customers want, what they need and the manner in which they want to receive your products or services. It is becoming increasingly clear that companies poised to experience the greatest success will be those firms that can effectively leverage their data to meet organizational needs, build solid relationships with stakeholders and above all, meet the demands of today’s customers (Schroeck, 2000). The global economy of today demands that organizations adhere to the constantly changing needs of the customer. Additionally, the speed and dynamic nature of business often negates the time required for long-term planning and time-consuming implementations in order to stay ahead. Because of this, organizations must implement solutions that can be deployed quickly and in a cost-effective manner (Zicker, 1998). So, how does an organization meet these ever-changing, complex requirements? An effective real-time business intelligence infrastructure that leverages the power of a data warehouse can deliver value by helping companies enhance their customer experiences. Furthermore, a real-time data warehouse eliminates the data availability gap and enables organizations to concentrate on processing their valuable customer data. By designing a data warehouse with the end user in mind, you multiply your chances of better understanding what your customer needs and what you need to help that customer achieve his or her goals (Haisten, 2000).

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