Prioritizing Analytics Use Cases for Maximum Value PPT

This PPT slide, part of the 26-slide 10 Challenges to Advanced Analytics PowerPoint presentation, presents a structured approach to evaluating analytics use cases through a feasibility matrix. It emphasizes the importance of prioritizing these use cases based on their feasibility and potential impact. The content is divided into 2 main sections: a list of use cases and a prioritization matrix.

The first section outlines various analytics use cases relevant to a consumer-packaged goods company, categorized under Sales/Customer Relationship Management (CRM), Marketing, and Innovation. Each use case is numbered and includes specific examples such as overall brand management, targeted acquisition campaigns, and consumer insights. This structured listing serves as a foundation for further analysis.

The second section features a prioritization matrix that visually represents the relationship between feasibility and impact. The matrix is divided into quadrants, with the vertical axis indicating impact (from low to high) and the horizontal axis indicating feasibility (from low to high). Use cases are plotted within this matrix, allowing for a clear visual assessment of which initiatives are likely to deliver the most value based on their feasibility and impact.

The slide suggests that analytics use cases positioned in the high-impact and high-feasibility quadrant should be prioritized. This approach helps organizations focus their resources on initiatives that are not only achievable, but also likely to yield significant benefits. The overall message is clear: a systematic evaluation of analytics use cases is essential for generating value and ensuring that strategic decisions are data-driven and aligned with organizational goals.

This slide is part of the 10 Challenges to Advanced Analytics PowerPoint presentation.

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