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This requires confirming what’s already known by reviewing existing documentation and through interviews and conversations with affected professionals and managers. All projects should have written business goals tied to the organizational and perhaps the sub-organizational (i.e., departmental) objective, strategy, and business plan. Business goals are the desired results of business operations. Business objectives are typically more strategic in nature and may relate with areas such as development, corporate net income, and market talk about. Business objectives can be broad and do not have to be measurable.
Business goals are tactical in nature and have to be defined for the entire initiative and for the incremental task stages. Business goals should be specific, measurable, attainable, realistic, and time-related (SMART). When gathering the business requirements, it is important to understand the current business processes, business culture, and how decisions are created.
For example, when defining sales analytics, it might be necessary to understand the bookings, billings, and backlog operational processes to be able to specify the analytical requirements for these procedures. Understanding the organization’s culture, including how technology can be used and exactly how decisions are created, can have a major impact about how business intelligence and analytics will be used.
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Some organizations will require the capability to drill down to the lowest level of detail frequently in order to make decisions while others will choose summarized information. Relate the requirements to the business objectives they support. For example, if the business objective is to improve cross sales through providing sales information by customer, requirements related to customer churn do not apply.
Gather the performance methods that will measure the involved processes to determine success or failing. For instance, order count and the length of time for order fulfillment are key performance measures for the fulfillment process. Obtain both informational (data) and analytical requirements (e.g., performance measures and reports). Informational requirements relate to the business dimensions and the associated attributes needed to describe the performance measures.
Focus on identifying the key business requirements that yield a positive ROI. Discuss how to access the performance steps shall impact of process changes. Business intelligence is a catalyst for process improvement through providing a better understanding of where in fact the processes are not meeting expectations or goals and where they have to be improved or reengineered. Examine the level to which completing the task on budget and on time will lead to additional earnings or cost benefits and when that incremental income or cost benefits can be understood based on the estimated project completion date. This directly pertains to the overall ROI of the project.
Conduct facilitated joint software development (JAD) classes to acquire requirements consensus with all affected stakeholders and to define business requirement priorities, including in-scope and out-of-scope requirements. Furthermore to gathering business requirements, the entire project charter and blueprint must be defined. This up-front effort is essential to accurately define and calculate the project’s total cost of ownership and can be completed over a short time frame (several weeks) with experienced data warehouse and business cleverness resources. If this effort is excluded, the results is a vague project definition and a ballpark estimation that often lead to non-approval or overlooked expectations. Developing a precise estimation is key to accurately estimating the original investment.
The estimating technique recommended is a bottom-up approach that quantifies the key estimating drivers (amount of analytics, etc.) of the task based on the business requirements, and the proposed architecture. This information is included into the task plan and used to derive the entire commitment estimate. One of the most difficult areas to estimate in a data warehouse project is the entire extract, transform, and load (ETL) activities.
