This framework is developed by a team of former McKinsey and Big 4 consultants. The presentation follows the headline-body-bumper slide format used by global consulting firms.
This product (Pathways to Data Monetization) is a 27-slide PPT PowerPoint presentation slide deck (PPTX), which you can download immediately upon purchase.
We are living in the Age of Data. Every company operating today is essentially a data company. However, only 1 inf 12 are monetizing data to its full extent.
For organizations to achieve Data Monetization, there are 2 pathways they can take—one with an internal focus and the other with an external focus. This framework explores both of these 2 pathways in detail.
With an internal focus on Data Monetization, we look at Operational and Organizational areas of improvement, which can be broken down in Cost Reduction and Revenue Growth initiatives.
With an external focus on Data Monetization, we look at opportunities with Partners and Customers. We can also unlock 3 new business models.
These presentation dives deeper in to these business models. We also delve into how to actually implement a Data Monetization Strategy through a 5-phase approach in setting up a Data Factory.
The slide deck also includes some slide templates for you to use in your own business presentations.
The PPT also covers the impact of Data and Analytics on various industries and functions. Insights from the McKinsey Global Survey highlight significant changes in core business practices, especially in sales, marketing, and R&D. This data-driven transformation is reshaping competitive landscapes, with traditional competitors launching new products and forming data-related partnerships.
Setting up a Data Factory is a critical step in executing a Data Monetization Strategy. The document outlines a 5-phase approach to implementation, focusing on enabling insights and analytics, adopting a smart operating model, and ensuring governance and compliance. The slide deck includes detailed templates to assist in each phase, making it a comprehensive guide for organizations aiming to leverage their data assets effectively.
Source: Best Practices in Analytics, Data Monetization, Data Factory PowerPoint Slides: Pathways to Data Monetization PowerPoint (PPTX) Presentation Slide Deck, LearnPPT Consulting
This PPT slide presents insights into how data and analytics have reshaped competition within various industries over the past 3 years. A significant 70% of surveyed executives acknowledge that these technological advancements have led to notable changes. The data is categorized into 5 levels of impact: fundamental, significant, moderate, minimal, and no change. The majority of respondents (36%) reported moderate change, while only 8% recognized a fundamental shift.
The slide further breaks down specific changes in competitive dynamics attributed to data and analytics. A striking 50% of executives noted that new entrants are launching data-centric businesses that challenge traditional players. This indicates a shift in market dynamics, where innovation driven by data is becoming a key differentiator. Traditional competitors are responding by enhancing their core operations through data insights, with 36% of respondents affirming this strategy.
Additionally, 36% of executives highlighted that traditional firms are introducing new products, including analytics services, to stay relevant. Partnerships along the value chain are also emerging, with 21% of respondents indicating that companies are forming data-related collaborations. Other strategies include launching new data-and-analytics-focused businesses (18%) and pooling data into shared utilities (7%).
The overarching message is clear: organizations must adapt to this evolving landscape. The emphasis on data-driven strategies is not just a trend, but a necessity for maintaining relevance and achieving growth. Companies that fail to leverage data effectively risk being outpaced by more agile, data-focused entrants. This slide serves as a crucial reminder for executives to reassess their strategic priorities in light of these developments.
This PPT slide presents an overview of 3 external business models for data monetization, emphasizing the importance of making data accessible to partners and customers. The overarching aim is to leverage data to create new revenue streams.
The first model, "Data as a Service (DaaS)," is described as the most basic approach. It involves selling data directly to end customers or intermediaries who analyze the data for insights. This model is characterized by its simplicity,, but it also has the lowest revenue potential and minimal value impact on customers.
The second model, "Insight as a Service (IaaS)," represents a more advanced offering. It builds on the foundation of DaaS by applying sophisticated analytics to the data, which generates actionable insights. This model has a moderate revenue potential and provides a more significant value impact compared to DaaS.
The third model, "Analytics-enabled Platform as a Service (APaaS)," is noted as the most complex of the three. It involves utilizing proprietary algorithms to enrich data for customers via a self-service platform. This model not only offers the highest revenue potential, but also delivers the greatest value to customers.
The slide concludes by indicating that the external pathway to data monetization presents more substantial opportunities than internally focused alternatives. This insight suggests that organizations should consider these external models to fully capitalize on their data assets. Understanding these distinctions is crucial for decision-makers looking to enhance their data strategies and drive revenue growth.
This PPT slide presents an analysis of how data and analytics have significantly transformed core business functions across various industries over the past 3 years. It utilizes a matrix format to illustrate the degree of change experienced by 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, including sectors like travel logistics, public and social sector, advanced industries, media and telecom, consumer retail, financial services, professional services, healthcare systems, high tech, and basic materials and energy. The vertical axis lists key business functions, allowing for a clear comparison of how each sector has adapted to data-driven practices.
The circles in the matrix indicate the extent of change, with varying shades representing significant, moderate, or minimal change. Notably, over 50% of respondents indicated that sales and marketing functions have undergone the most substantial transformation. R&D also showed notable changes, with more than 30% of respondents reporting shifts in this area.
The insights suggest that industries such as high tech and basic materials and energy are at the forefront of adopting data analytics, reflecting a broader trend of digital transformation. This data-driven approach is reshaping how businesses operate, emphasizing the need for organizations to adapt to remain competitive. Understanding these shifts can guide strategic decisions and investments in analytics capabilities.
This PPT slide outlines the foundational steps for establishing a Data Platform, which is crucial for a Data Monetization Business Model. It emphasizes 2 primary components: creating a data platform and enabling insights and analytics.
The first section highlights the need for a robust IT infrastructure, which includes an Enterprise Data Strategy and a dedicated Data Platform. The objective is to develop a "single source of truth" for data, which necessitates effective data management practices such as cleansing, standardization, and harmonization. The slide notes that the platform should be user-friendly, facilitating higher-level data interactions through intuitive interfaces. It also mentions the importance of accommodating both public and private cloud options to ensure scalability and multi-party data sharing.
The second section focuses on the architecture of the platform, which must support several core features. These include interactive, self-service analytics, user-friendly interfaces, and effective data visualization. The emphasis on data visualization suggests that presenting data in an accessible manner is seen as both an art and a science, crucial for deriving actionable insights.
Overall, the slide serves as a strategic guide for organizations looking to leverage data effectively. It presents a clear framework for building a data platform that not only supports data management, but also enhances analytical capabilities. This approach is designed to empower users at various levels within the organization, ultimately driving better decision-making and value creation from data assets.
This PPT slide outlines a strategic approach to maximizing data monetization through the establishment of a "Data Factory." This concept is presented as a systematic method for organizations to automate various processes related to data management, including collection, aggregation, enrichment, transformation, and analysis. The ultimate goal is to derive actionable insights from the data, which can drive business value.
Three guiding principles are emphasized for effectively transforming a business model via a Data Factory. The first principle focuses on identifying both internal and external opportunities for data monetization. This suggests a comprehensive view of potential avenues for leveraging data, whether from within the organization or through partnerships and market analysis.
The second principle stresses the importance of appraising data. Organizations should actively seek hidden opportunities to enrich their data, which can enhance insights and increase overall value. This indicates a proactive approach to data management, where the quality and depth of data are prioritized.
The third principle involves a thorough assessment of business opportunities, dependencies, and capability gaps. This assessment is crucial for developing a robust data monetization strategy. It highlights the need for organizations to understand their current capabilities and identify areas for improvement to effectively implement their data monetization initiatives.
The slide also notes that setting up a Data Factory can be complex and requires successful implementation of various methodologies, including Design Thinking, Lean Thinking, and Agile practices. This complexity underscores the necessity for a well-structured approach to ensure that organizations can fully realize the benefits of their data assets.
This PPT slide outlines 4 distinct options for establishing a Data Platform: Build, Buy, Lease, and Partner. Each option is presented with its strengths and limitations, offering a clear comparison to aid decision-making.
The "Build" option emphasizes customization, highlighting that in-house solutions can be tailored to meet specific organizational needs. It notes the importance of cybersecurity and control, which can be critical for sensitive data handling. However, the slide points out that this approach typically demands significant investment in technology infrastructure and talent, making it the most expensive choice.
The "Buy" option is characterized as a cost-effective alternative to building from scratch. It allows organizations to leverage off-the-shelf solutions that can be enhanced with in-house development. While this method can meet strategic needs, it also requires a comprehensive understanding of the software's functionalities and limitations, which can be a considerable commitment.
"Lease" is presented as a flexible option, with a shorter commitment period and a variety of tech solutions available. This approach allows organizations to avoid heavy upfront investments and vendor management complexities. However, it warns that leased solutions may not fully align with specific requirements and can lead to operational challenges due to vendor proliferation.
Lastly, the "Partner" option offers a balance between commitment and customization. It allows for tailored solutions without the heavy investment of building or leasing. Yet, it requires effective vendor management and an understanding of market intelligence capabilities.
Overall, the slide encourages a careful evaluation of each option, emphasizing the need for a strategic approach to budgeting and decision-making regarding data platforms.
This PPT slide outlines 2 distinct pathways for organizations aiming to achieve data monetization, emphasizing both internal and external focuses. The first pathway is characterized by an internal focus, which revolves around enhancing operational and organizational efficiencies. This involves leveraging data to improve various aspects of the organization, including operations, productivity, and offerings. Additionally, it highlights the importance of engaging in tailored dialogues with customers by utilizing customer data, thereby fostering a more personalized approach to service delivery.
The second pathway shifts the focus externally, targeting partnerships and customer relationships. This approach centers on making organizational data accessible to external partners and customers. The objective here is to leverage this data to create new revenue streams, suggesting a more outward-looking strategy that capitalizes on collaboration and market opportunities.
The slide also notes that these pathways are not mutually exclusive, indicating that many organizations might find value in pursuing both strategies simultaneously. This dual approach can enhance operational efficiencies while also exploring new revenue opportunities through external collaborations.
Overall, the slide serves as a strategic framework for organizations contemplating their data monetization strategies. It encourages a balanced consideration of both internal improvements and external partnerships, highlighting the potential for comprehensive growth through effective data utilization. This insight can guide executives in making informed decisions about their data strategies and aligning them with broader corporate objectives.
This PPT slide presents an overview of 3 distinct external data monetization models: Data as a Service (DaaS), Insight as a Service (IaaS), and Analytics-enabled Platform as a Service (APaaS). Each model is outlined with key characteristics, revenue potential, and customer value impact.
DaaS is described as the simplest model, where data is anonymized and aggregated before being sold to customers or intermediaries. This approach has low revenue potential and customer value impact, making it a straightforward entry point for organizations looking to monetize their data.
IaaS builds on the DaaS framework by incorporating advanced analytics to derive actionable insights from the data. This model allows for data aggregation from both internal and external sources, which enhances its value. The revenue potential and customer value impact are moderate, indicating a step up in complexity and value compared to DaaS.
APaaS represents the most sophisticated model. It utilizes complex algorithms to provide enriched data through a self-service platform. This model is typically cloud-based and offers real-time data delivery, which significantly increases both revenue potential and customer value impact to high levels. APaaS not only enhances data accessibility, but also opens avenues to new markets, often referred to as "Blue Oceans."
The slide concludes by suggesting that these models can be viewed as a maturity framework, where businesses evolve from DaaS to IaaS and ultimately to APaaS as they develop their data capabilities. This progression highlights the increasing complexity and potential of data monetization strategies. Understanding these models is crucial for organizations aiming to leverage their data assets effectively.
This framework is developed by a team of former McKinsey and Big 4 consultants. The presentation follows the headline-body-bumper slide format used by global consulting firms.
For $10.00 more, you can download this document plus 2 more FlevyPro documents. That's just $13 each.
ABOUT FLEVYPRO
This document is part of the FlevyPro Library, a curated knowledge base of documents for our FlevyPro subscribers.
FlevyPro is a subscription service for on-demand business frameworks and analysis tools. FlevyPro subscribers receive access to an exclusive library of curated business documents—business framework primers, presentation templates, Lean Six Sigma tools, and more—among other exclusive benefits.
The average daily rate of a McKinsey consultant is $6,625 (not including expenses). The average price of a Flevy document is $65.
Trusted by over 10,000+ Client Organizations
Since 2012, we have provided best practices to over 10,000 businesses and organizations of all sizes, from startups and small businesses to the Fortune 100, in over 130 countries.
Read Customer Testimonials
"I have used FlevyPro for several business applications. It is a great complement to working with expensive consultants. The quality and effectiveness of the tools are of the highest standards."
– Moritz Bernhoerster, Global Sourcing Director at Fortune 500
"Last Sunday morning, I was diligently working on an important presentation for a client and found myself in need of additional content and suitable templates for various types of graphics. Flevy.com proved to be a treasure trove for both content and design at a reasonable price, considering the time I
saved. I encountered a download issue during the ordering process. However, a quick email to Flevy's support team, even on a Sunday (!!!), resulted in assistance within less than an hour, allowing me to download the content I needed. Fantastic job, Flevy! I give 5 stars for both content/price and customer service. Thank you!
"
– M. E., Chief Commercial Officer, International Logistics Service Provider
"As a young consulting firm, requests for input from clients vary and it's sometimes impossible to provide expert solutions across a broad spectrum of requirements. That was before I discovered Flevy.com.
Through subscription to this invaluable site of a plethora of topics that are key and crucial to consulting, I
have been able to exceed expectations and deliver quality advice and solutions to my clients. The quality and expertise of the authors are exemplary and gives me great confidence to use as part of my service offerings.
I highly recommend this company for any consultant wanting to apply international best practice standards in their service offerings.
"
– Nishi Singh, Strategist and MD at NSP Consultants
"I have found Flevy to be an amazing resource and library of useful presentations for lean sigma, change management and so many other topics. This has reduced the time I need to spend on preparing for my performance consultation. The library is easily accessible and updates are regularly provided. A wealth of great information."
– Cynthia Howard RN, PhD, Executive Coach at Ei Leadership
"The wide selection of frameworks is very useful to me as an independent consultant. In fact, it rivals what I had at my disposal at Big 4 Consulting firms in terms of efficacy and organization."
– Julia T., Consulting Firm Owner (Former Manager at Deloitte and Capgemini)
"FlevyPro has been a brilliant resource for me, as an independent growth consultant, to access a vast knowledge bank of presentations to support my work with clients. In terms of RoI, the value I received from the very first presentation I downloaded paid for my subscription many times over! The
quality of the decks available allows me to punch way above my weight – it's like having the resources of a Big 4 consultancy at your fingertips at a microscopic fraction of the overhead.
"
– Roderick Cameron, Founding Partner at SGFE Ltd
"Flevy.com has proven to be an invaluable resource library to our Independent Management Consultancy, supporting and enabling us to better serve our enterprise clients.
The value derived from our [FlevyPro] subscription in terms of the business it has helped to gain far exceeds the investment made, making a subscription a no-brainer for any growing consultancy – or in-house strategy team."
– Dean Carlton, Chief Transformation Officer, Global Village Transformations Pty Ltd.
"As an Independent Management Consultant, I find Flevy to add great value as a source of best practices, templates and information on new trends. Flevy has matured and the quality and quantity of the library is excellent. Lastly the price charged is reasonable, creating a win-win value for
the customer, Flevy and the various authors. This is truly a service that benefits the consulting industry and associated clients. Thanks for providing this service.
Download our FREE Digital Transformation Templates
Download our free compilation of 50+ Digital Transformation slides and templates. DX concepts covered include Digital Leadership, Digital Maturity, Digital Value Chain, Customer Experience, Customer Journey, RPA, etc.
Click main image to view in full screen.
