Essential components of a meaningful BI implementation

Essential components of a meaningful BI implementation

Before a healthcare organization adopts a BI solution, it should account for, plan and take action based on the following four key components of successful implementations.


1.Adopt an information-driven culture

Adopting an information-driven culture is essential to BI success. Even the best technical solution will fail if the business culture is not information driven. With senior leadership evaluating and managing business based on key performance metrics, an organizational culture is created whereby data collection and analysis is valued. Without senior management's leadership in establishing BI, it is impossible to create the information-driven culture necessary for success. This is especially true in an organization that requires substantial investment to implement a BI initiative.

For a BI implementation to succeed, the business must have a clear vision of the key performance metrics upon which the business will be evaluated and must seriously pursue improvement on the chosen metrics. Without rewards and consequences tied to performance metrics, BI will be largely ignored.


2. Define and build a BI organization

An information-driven organization operates most effectively when BI resides between the business and IT as BI requires close coordination between IT and the business to be successful. IT provides the infrastructure/environment for BI including the hardware, software and tools and must have the capability to support the BI suite in terms of time/resources and expertise; IT also has responsibility for all tasks related to data acquisition and integration. The BI organization is responsible for the design and use of the end-user business analytical environment and meeting the organization's overall information needs.

3. Establish a data management program: /p>

Successful BI implementations must include a comprehensive data management program to assure accurate, high-quality and consistent data collection and resulting information and intelligence. The data management structure and process should be in place prior to implementation of any BI applications to ensure the integrity of data collection and analysis to the satisfaction of business users - earning their trust and commitment to the BI solution.