Data Gathering and Analysis (PowerPoint PPT Slide Deck)

DATA ANALYSIS PPT DESCRIPTION

This product (Data Gathering and Analysis) is a 26-slide PPT PowerPoint presentation slide deck (PPT), which you can download immediately upon purchase.

After we have formulated our hypothesis, the next step is to gather the proper data (to analyze to test this hypothesis). It is important to have a structured approach to both data gathering and data analysis.

This presentation introduces a 7-phase approach to data collection and analysis. We will also discuss the 4 key areas of data analysis, usage of business frameworks & visual tools, and research strategy.

This training guide also includes a group training exercise.

This PPT delves into the intricacies of data gathering and analysis, emphasizing a structured approach essential for hypothesis-driven analysis. It outlines a comprehensive 7-phase process for data collection and analysis, ensuring that every step is meticulously planned and executed. The presentation also covers the four critical areas of data analysis: customers, competitors, capabilities, and economics. These categories help in understanding the broader market dynamics and internal operational efficiencies.

The document also highlights the importance of using a mix of facts and sensible assumptions to test hypotheses and generate findings. It provides practical examples and case studies, making the theoretical aspects more relatable and easier to understand. The use of analytical tools, both strategic frameworks and visual tools, is discussed in detail, offering a balanced approach to data analysis. This ensures that the analysis is not only rigorous, but also visually comprehensible, aiding in better decision-making.

A significant portion of the presentation is dedicated to the research strategy, emphasizing the need for both primary and secondary sources. It discusses the importance of data estimation when data is not readily available and provides practical rules of thumb for data gathering. The document also addresses common pitfalls in the analysis process, ensuring that users are well-prepared to handle any challenges that may arise. This comprehensive guide is designed to equip executives with the knowledge and tools needed to conduct effective data analysis and make informed business decisions.

Source: Best Practices in Consulting Process, Data Analysis, Data Collection PowerPoint Slides: Data Gathering and Analysis PowerPoint (PPT) Presentation Slide Deck, LearnPPT Consulting

DATA ANALYSIS PPT SLIDES

Frameworks and Visual Tools for Strategic Analysis

This PPT slide presents an overview of analytical tools, categorizing them into 2 primary types: Business Frameworks and Visual Tools. Each category serves distinct purposes in strategic decision-making processes.

Business Frameworks are defined as structured approaches that assist in identifying key issues or drivers relevant to strategic choices. This section highlights the importance of frameworks in guiding executives through complex decisions. Examples provided include Porter's 5 forces analysis, SWOT analysis, and ROCE analysis. These frameworks are essential for dissecting market dynamics, assessing internal capabilities, and evaluating financial performance, respectively. They enable organizations to systematically approach challenges and opportunities.

On the other hand, Visual Tools are described as instruments that enhance the presentation of large and complex datasets. The slide emphasizes their role in creating clarity and facilitating storytelling through data. Examples such as graphs and waterfall charts illustrate how visual representations can simplify intricate information, making it more accessible for stakeholders. This aspect is crucial for effective communication, particularly in scenarios where data-driven insights need to be conveyed to diverse audiences.

The concluding note stresses that the selection of analytical tools should align with the specific objectives of the analysis and the desired outcomes. This guidance is vital for ensuring that the chosen tools effectively support the decision-making process. Overall, the slide underscores the necessity of both strategic frameworks and visual tools in navigating the complexities of business analysis.

Matrix of Analysis Methodologies and Data Complexity

This PPT slide 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.

Framework for Comprehensive Data Analysis Categories

This PPT slide outlines a framework for data analysis categorized into 4 key areas: Customer Needs, Company Capabilities, Industry/Competitors, and Economics/Profitability Drivers. Each category addresses critical questions that guide the analysis process.

In the Customer Needs section, the focus is on understanding the economic value perceived by customers, identifying various customer segments, and determining the factors influencing their purchasing decisions. It also emphasizes the importance of knowing how customers make purchases and the characteristics of the largest customers.

The Company Capabilities segment examines the essential capabilities required to deliver value and compete effectively. It raises questions about how these capabilities are evolving and assesses the strength of the client's capabilities in relation to competitors.

The Industry/Competitors area delves into market dynamics, including market size and growth rates. It seeks to clarify the relationships within the value chain and identify major competitors, their market shares, and growth trajectories.

Lastly, the Economics/Profitability Drivers section addresses fundamental business questions such as revenue generation, pricing determinants, cost structures, and the drivers behind profitability. It also considers how the client's cost position compares to competitors and whether these factors are subject to change.

The central theme of the slide is the interconnectedness of these categories, as indicated by the central circle labeled "Areas we need to understand to answer our clients’ questions." This holistic approach ensures that all relevant aspects are considered in the analysis, leading to informed decision-making. The slide concludes with a commitment to explore these areas in greater depth in upcoming training materials, signaling a structured approach to knowledge enhancement.