![]() The business stakeholders are responsible for relative positioning each business case on the Business Value axis, while the IT stakeholders are primarily responsible for relative positioning of each business case on the Implementation Feasibility axis (considering data, technology, skills, and organizational readiness). The group (which must include both business and IT stakeholders) decides the placement of each use case on the Prioritization Matrix (weighing business value and implementation feasibility) vis-à-vis the relative placement of the other use cases on the Matrix. The Prioritization Matrix Process starts by placing each identified use case (identified in the Vision Workshop) on a “Post It” note (one use case per “Post It”). The targeted business initiative provides the key performance indicators (against which success will be measured), the critical success factors (which are the desired outcomes that need to be achieved in order to successfully complete the business initiative), and the execution timeframe (typically 9 to 12 months in duration). The Prioritization Matrix facilitates the discussion and debate between the Business and IT stakeholders in identifying the “right” use cases to start a big data initiative – those use cases with both meaningful business value (from the business stakeholders’ perspectives) and reasonable feasibility of successful implementation (see Figure 1).įocusing the Prioritization Matrix process on a key business initiative – such as reducing churn, increasing same store sales, minimizing financial risk, optimizing market spend, or reducing hospital readmissions – is critical as it provides the foundation upon which the business value and implementation feasibility discussion and subsequent placement on the matrix discussion can occur. The Prioritization Matrix is the capstone of a Vision Workshop. The EMC Big Data Vision Workshop uses facilitation and envisioning techniques to help the business stakeholders uncover the use cases where big data and advanced analytics can power the organization’s key business initiatives. ![]() Role of the Prioritization Matrix within the EMC Big Data Vision Workshop Let me share how the Prioritization Matrix works to not only prioritize the initial big data use cases, but how it can foster an atmosphere of collaboration between the business and IT stakeholders. We have found one tool for driving business and IT collaboration and agreement around the “right” initial use cases for your big data journey – those with sufficient business value and a high probability of success – is using the Prioritization Matrix. Weak business and IT collaborative relationship.Lack of experience with new technologies like Hadoop, MapReduce, and text mining.Limited data or analytic people resources.Inexperience with new data sources like social media, mobile, and sensor logs.However, many of these use cases have a low probability of execution success due to: One can find multiple business use cases where big data and advanced analytics can deliver compelling business value. ![]() One key challenge to a successful Big Data journey is gaining consensus and alignment between the business and IT stakeholders in identifying the initial big data business use cases that 1) deliver sufficient value to the business, while 2) possessing a high probability of success.
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