Matrix of Analysis Methodologies and Data Complexity PPT

This PPT slide, part of the 26-slide Data Gathering and Analysis PowerPoint presentation, presents a matrix categorizing various analysis methodologies based on their complexity and the amount of data they require. The vertical axis is labeled "HOW?" and represents the degree of analysis sophistication, while the horizontal axis is labeled "WHAT?" indicating the type of data involved.

In the upper left quadrant, methodologies like Economic Modeling and NPV/Cashflow Analysis are positioned, suggesting they require significant analytical depth and complex data. These methods are typically employed in high-stakes financial decision-making, where precision is paramount. The upper right quadrant includes Market Segmentation and Benchmarking, which also demand rigorous analysis, but may rely on less intricate data sets.

The lower quadrants feature simpler methodologies. For instance, Expense Vouchers and ABC (Activity-Based Costing) are found in the lower left, indicating they are less complex and utilize straightforward data. Business Case analysis occupies a central position, highlighting its foundational role in strategic decision-making.

The right side of the matrix emphasizes methodologies like Survey Analysis and Value Chain Analysis, which, while still analytical, may not require the same level of data complexity as those in the upper quadrants.

The accompanying definitions on the right clarify key terms: Analysis, Assimilation, Assumption, and Data. These definitions reinforce the importance of understanding the underlying principles and data sources that inform each methodology. The concluding note stresses that all analysis must maintain logical rigor, underscoring the necessity for sound reasoning in any analytical approach.

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Data Analysis Value Chain Analysis Market Segmentation Value Chain Business Case Benchmarking

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