With the use of Agile Methodology, an effective end-to-end solution is created in a short period of time. Datamensional is able to do this with a compilation of Business Intelliegence Tools. Organizations receive feedback from the users of these tools rapidly, which allows decsion makers to determine what to continue and what not to. Using Agile Methodology versus a traditional "waterfall" approach to development allows for less time for business value and ROI on the BI investment can be realized quickly versus traditional approaches.
Traditionally, most proprietary Business Intelligence software solutions are expensive and difficult to implement due to the "waterfall" approach. This sometimes creates a stigma in decision makers' minds. Often, the fear of the investment of abundances of time and money can deter organizations from pursuing Business Intelligence implementations. This is accurate for both initial projects as well as on going work to maintain and adapt the initial implementations as needs change and grow. When existing solutions lack integrated design, modeling and visualization capabilities, additional time and resources must be devoted to resovle. Only when all steps have been completed can the project results be viewed to determine whether the project actually meets the needs of the end user. This increases the cost and time needed to complete projects and increases risks of project failure since results cannot be seen until the project is near completion.
However, if the Agile Methodolgy is used, the majority of these negative assumptions about Business Intelligence can be avoided. Each step of the Business Intelligence campaign learns from the previous step based on actual use of the BI solution. The users then communicate with developers for immediate change in the next step of the develpment process. In addtion, the organization will gain business value from each step of the implementation. Agile expedites the ability to know the truth in your data and allows for an impressive impact as decision makers gain insight using their own information as it becomes intelligible.
