Data Monetization is the effective use of data to achieve positive and measurable impact on business revenue. In McKinsey’s Global Survey on Data and Analytics, it was found that 70% of executives reported that Data and Analytics have made changes in our industries’ competitive landscape.
The most common change is entrants launching new data-focused businesses that undermine traditional business models. The greatest impact is strengthening our company’s competitiveness.
Meaningful Data Monetization is achieved if the fundamental building blocks of a successful Data and Analytics program are set up. There are 3 such building blocks:
1. Strategy
2. Organization and Talent
3. Leadership and Culture
Data Monetization requires significant effort to keep our company ahead of traditional competitors and new disruptors. Effective Data Monetization is achieved when it is business led with C-level suit commitment and support.
This deck also includes slide templates for you to use in your own business presentations.
This PPT provides a comprehensive roadmap for leveraging data and analytics to drive business growth. It emphasizes the importance of establishing a robust foundation in data strategies, organizational alignment, and leadership commitment. The content is structured to guide executives through the critical steps necessary for successful data monetization, ensuring that their companies remain competitive in a rapidly evolving market landscape.
The presentation includes detailed insights into the impact of data and analytics on various industries and business functions. It highlights real-world examples and statistics from McKinsey's Global Survey on Data and Analytics, demonstrating how data-driven initiatives can transform core business practices. This resource is essential for C-level executives aiming to harness the full potential of their data assets and achieve measurable revenue growth.
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Source: Best Practices in Data Analysis, Data Monetization PowerPoint Slides: Building Blocks of Data Monetization PowerPoint (PPTX) Presentation Slide Deck, LearnPPT Consulting
This PPT slide presents an analysis of how data and analytics have transformed core business functions across various industries over the past 3 years. It utilizes a visual matrix to illustrate the degree of change experienced in different sectors, categorized by specific business functions such as sales and marketing, R&D, and supply chain management. Each industry is represented along the horizontal axis, while the vertical axis lists the business functions.
The circles in the matrix indicate the extent of transformation, ranging from significant changes to minimal or no changes. This visual representation allows for quick comparisons across industries. Notably, the data highlights that over 50% of respondents identified substantial changes in sales and marketing functions, suggesting these areas are at the forefront of leveraging data analytics. Additionally, more than 30% reported similar transformations in R&D, indicating a growing recognition of data's role in innovation and product development.
High-tech industries and sectors like basic materials and energy are noted for having the most functions transformed by analytics. This suggests that these industries are not only adopting data-driven strategies, but are also reaping significant benefits from them. The slide effectively communicates the urgency for businesses to adapt to these changes, emphasizing that neglecting data analytics could lead to missed opportunities for improvement and growth. The insights presented are critical for executives aiming to understand the evolving landscape and the imperative to integrate data analytics into their strategic planning.
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