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Data Products

Alan Rodriguez

Last edited 104 days ago by Alan Rodriguez

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Smart Data Empowers Data Products with Secure, Private & Trusted Data Sharing Within and Between Org.pdf

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A Better Way to Put Your Data to Work.pdf

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Explain the difference between Data Products versus Data as a Product?

Data Products and Data as a Product refer to two different concepts in the context of data-driven businesses:

Data Products: Data Products are tangible outputs or deliverables that are derived from data analysis and processing. These products are designed to provide valuable insights, information, or services based on data. They are created by applying data science techniques, algorithms, and analytics to raw data to generate meaningful and actionable outputs. Examples of data products include predictive models, recommendation systems, data visualizations, dashboards, or data-driven applications.

Data as a Product: Data as a Product refers to the practice of treating data itself as a valuable asset or offering it as a standalone product. In this case, the raw data or datasets are packaged, refined, and made available to customers or clients for their own analysis, research, or decision-making purposes. Data as a Product involves collecting, curating, and providing data in a consumable format, often through APIs, data marketplaces, or data subscriptions. It focuses on the data's intrinsic value and the potential insights it can offer to users.

The key difference between Data Products and Data as a Product lies in their focus and deliverables. Data Products are the outcomes of data analysis and processing, which provide insights or services derived from data. On the other hand, Data as a Product is the data itself, treated as a valuable asset, and offered to customers or clients for their own analysis or use.

It's worth noting that both concepts are interconnected. Data as a Product can serve as the foundation for developing Data Products. Data Products, in turn, can leverage Data as a Product as a source of raw data or as a component to enhance their functionality. Both approaches contribute to creating value from data and leveraging it to drive business outcomes.

What are the most critical problems and meaningful risks Data as a Product solves?

Data as a Product solves several critical problems and mitigates meaningful risks that organizations face. The most critical problems it addresses and the associated risks it mitigates include:

Lost Opportunities: Data as a Product unlocks opportunities by providing easy access to valuable data, saving time and effort in data collection and preprocessing. This mitigates the risk of missed opportunities due to delays in data availability or inefficient data handling processes.

Lost Revenue: Data as a Product creates new revenue streams by monetizing data assets. By offering data sets or data-related services, organizations can generate additional income. This mitigates the risk of lost revenue potential and underutilization of valuable data assets.

Lost Efficiencies: Data as a Product enhances operational efficiencies by streamlining data access, analysis, and integration. By providing curated and well-prepared data sets, organizations can save time and resources. This mitigates the risk of inefficient data handling, data errors, and wasted efforts.

Lost Market Share: Data as a Product drives innovation, collaboration, and market insights. By leveraging data assets as valuable products, organizations can capture new market segments and gain a competitive edge. This mitigates the risk of losing market share to competitors who effectively utilize data for strategic decision-making.

In addition to these critical problems, Data as a Product also mitigates meaningful risks associated with data handling and utilization. These risks include:

Data Inaccuracies and Biases: By implementing robust data validation processes and data governance frameworks, Data as a Product ensures the accuracy and reliability of data. This mitigates the risk of basing decisions on inaccurate data or biased insights.

Data Privacy and Security: Data as a Product incorporates data security measures and ensures compliance with privacy regulations. This mitigates the risk of data breaches, unauthorized data usage, and potential legal and regulatory compliance issues.

Data Integration Challenges: Data as a Product streamlines data integration processes, reducing the risk of data silos and inefficient data sharing. This enables organizations to leverage data from various sources seamlessly.

By addressing these critical problems and mitigating meaningful risks, Data as a Product enables organizations to maximize the value of their data assets, make informed decisions, drive innovation, and stay competitive in the market.

Let’s introduce the Smart Data Protocol as a standard for Data as a product or Asset that provides interoperability, data ownership, security, integrity and privacy within multi-party data transactions without intermediaries that results in enhanced data quality, trust, compliance, and risk reduction/management?

Introducing the Smart Data Protocol: Unlocking the Potential of Data as a Product

The Smart Data Protocol is a groundbreaking standard that revolutionizes the way organizations treat data as a product or asset. It provides a comprehensive framework for data transactions, ensuring interoperability, data ownership, security, integrity, and privacy without the need for intermediaries. By adopting the Smart Data Protocol, organizations can unlock the full potential of their data assets while enjoying enhanced data quality, trust, compliance, and risk reduction.

Interoperability and Data Ownership

The Smart Data Protocol enables seamless interoperability among diverse data sources, platforms, and systems. It establishes a unified format and structure for data representation, ensuring that data from different providers can be easily integrated and accessed. This promotes collaboration and data sharing, allowing organizations to leverage a wide range of data assets to gain valuable insights. Moreover, the protocol emphasizes data ownership, allowing data providers to retain control over their data while enabling secure and compliant sharing with authorized parties.

Security, Integrity, and Privacy

Data security, integrity, and privacy are paramount in the Smart Data Protocol. The protocol incorporates robust security measures to protect data assets from unauthorized access and breaches. It ensures that data is encrypted, and access is granted based on pre-defined permissions and consent mechanisms. By adhering to stringent privacy standards and regulations, the protocol safeguards sensitive information, instilling confidence in data consumers and reducing the risk of privacy violations.

Enhanced Data Quality, Trust, and Compliance

With the Smart Data Protocol, data quality is significantly improved. The protocol includes mechanisms for data validation, verification, and metadata management, ensuring that data is accurate, reliable, and consistent. This enhances trust in the data and enables organizations to make informed decisions based on high-quality information. Additionally, the protocol facilitates compliance with regulatory requirements, such as data protection regulations, by providing transparency and traceability in data transactions.

Risk Reduction and Management

The Smart Data Protocol effectively reduces risks associated with data transactions. By eliminating intermediaries and leveraging secure and transparent data exchanges, organizations can mitigate the risks of data breaches, unauthorized access, and data manipulation. The protocol's comprehensive risk management features enable organizations to identify, assess, and mitigate risks throughout the data lifecycle. This helps organizations proactively address potential risks, ensuring the integrity and reliability of data assets.

In summary, the Smart Data Protocol sets a new standard for Data as a Product or Asset. It empowers organizations to unlock the true value of their data assets while ensuring interoperability, data ownership, security, integrity, and privacy within multi-party data transactions. By adopting this protocol, organizations can enhance data quality, trust, compliance, and risk reduction/management, enabling them to make data-driven decisions with confidence and unlock new opportunities in the data-driven era.

Can we detail the solution and benefits the Smart Data Protocol Offers to each problem and risk?

Certainly! Let's detail the solution and benefits that the Smart Data Protocol offers to each problem and risk associated with Data as a Product:

Lost Opportunities: The Smart Data Protocol addresses the problem of lost opportunities by providing a standardized framework for easy access to valuable data. It enables organizations to efficiently discover and access relevant data sets through a unified interface. This saves time and effort in data collection and preprocessing, allowing decision-makers to quickly access high-quality data and uncover valuable insights. The benefit of the Smart Data Protocol is that it eliminates the need for time-consuming data wrangling tasks and empowers organizations to capitalize on opportunities in a timely manner.

Lost Revenue: The Smart Data Protocol offers a solution to the problem of lost revenue by facilitating the monetization of data assets. It provides a secure and scalable infrastructure for organizations to package and sell data sets or offer data-related services to customers or clients. By leveraging the Smart Data Protocol, organizations can effectively commercialize their data assets, create new revenue streams, and unlock the value of their data. The benefit of the protocol is that it provides a standardized approach to data monetization, ensuring transparency, trust, and fair exchange between data providers and consumers.

Lost Efficiencies: The Smart Data Protocol enhances operational efficiencies by streamlining data access, analysis, and integration. It provides a standardized format for data representation and metadata management, enabling seamless integration and interoperability across different data sources and platforms. This reduces the time and effort required for data integration and ensures data quality and consistency. The benefit of the Smart Data Protocol is that it improves data accessibility, reduces duplication of efforts, and accelerates the data-driven decision-making process, resulting in improved operational efficiency and resource optimization.

Lost Market Share: The Smart Data Protocol drives innovation, collaboration, and market insights by facilitating the exchange and collaboration of data. It enables organizations to discover and access a wide range of data sets, fostering innovation through data-driven insights and enabling collaborations between different stakeholders. The protocol also provides mechanisms for sharing market insights and trends, allowing organizations to identify new market segments and gain a competitive edge. The benefit of the Smart Data Protocol is that it promotes data sharing, collaboration, and knowledge exchange, enabling organizations to stay ahead of the competition and capture new market opportunities.

In terms of risk mitigation, the Smart Data Protocol incorporates various features and mechanisms to address potential risks:

Data Inaccuracies and Biases: The protocol includes data validation mechanisms and metadata management to ensure data quality and mitigate the risk of inaccuracies and biases. It promotes transparency in data sourcing and processing, allowing data consumers to assess the quality and reliability of the data before making decisions. This enhances the trustworthiness of the data and reduces the risk of making decisions based on flawed or biased information.

Data Privacy and Security: The Smart Data Protocol incorporates robust security measures and privacy controls to protect data assets. It ensures compliance with privacy regulations and provides mechanisms for data encryption, access control, and consent management. This mitigates the risk of data breaches, unauthorized access, and potential legal and regulatory compliance issues. By prioritizing privacy and security, the protocol maintains the confidentiality and integrity of data throughout its lifecycle.

Data Integrity and Trustworthiness: The protocol incorporates mechanisms for data integrity verification, ensuring that data remains unchanged and reliable during transactions. This mitigates the risk of data manipulation, tampering, or corruption, maintaining the trustworthiness and reliability of data assets. By ensuring data integrity, the protocol enhances the confidence in the data exchanged between parties.

Risk Reduction and Management: The Smart Data Protocol includes features and frameworks for risk reduction and management throughout the data lifecycle. It enables organizations to identify and assess potential risks associated with data transactions and implement appropriate risk mitigation measures. By proactively addressing risks, organizations can minimize the impact of potential threats and ensure the security, integrity, and compliance of data assets.

By leveraging the Smart Data Protocol, organizations can overcome the challenges and risks associated with Data as a Product, ensuring efficient data access, monetization, operational efficiencies, and market competitiveness while mitigating risks related to data quality, privacy, security, and compliance. The protocol provides a comprehensive solution that enables organizations to fully unlock the value of their data assets while maintaining trust, integrity, and risk management throughout the data lifecycle.

How the Smart Data Protocol Addresses Problems and Challenges

The Smart Data Protocol provides a comprehensive solution that directly addresses the problems and challenges faced by organizations in a positive language. By leveraging the Smart Data Protocol, Chief Data Officers (CDOs) and Chief Financial Officers (CFOs) can effectively mitigate risks while driving innovation and achieving business objectives simultaneously. Let's explore in detail how the Smart Data Protocol addresses these problems and highlights its benefits for CDOs and CFOs:

Unlocking Revenue Potential:

The Smart Data Protocol opens up new revenue-generating opportunities by providing valuable and curated data sets with clear licensing terms. By implementing this protocol, organizations can ensure that their data assets are protected and monetized in a secure and controlled manner. This not only generates additional revenue streams but also enhances financial growth and diversifies income sources. CDOs and CFOs can leverage the Smart Data Protocol to unlock the full revenue potential of their data assets while maintaining control over licensing and usage terms.

Improved Operational Efficiency:

The Smart Data Protocol saves resources and time, empowering organizations to focus on high-value tasks and optimize resource allocation. By streamlining data access, analysis, and integration, the protocol reduces the need for manual data collection, cleaning, and preprocessing efforts. This results in significant time savings and cost reductions while enabling data teams to concentrate on higher-value activities such as advanced analytics, insights generation, and strategic decision-making. CDOs and CFOs can leverage the Smart Data Protocol to drive operational efficiency, optimize resource allocation, and achieve higher productivity.

Enhanced Market Insights:

The Smart Data Protocol provides valuable market insights, enabling data-driven decision-making and keeping organizations ahead of the competition. By offering curated and high-quality data sets, the protocol enables organizations to gain a deeper understanding of their target markets, customer behavior, and industry trends. This valuable market intelligence empowers CDOs and CFOs to make informed decisions, identify emerging opportunities, and develop effective strategies to stay ahead in the market. By leveraging the Smart Data Protocol, organizations can gain a competitive edge and enhance their market positioning.

Driving Innovation and Collaboration:

The Smart Data Protocol fosters innovation, encourages collaboration, and facilitates data-driven solutions, driving market share growth. By offering valuable data resources and enabling secure data sharing, the protocol becomes a catalyst for innovation and collaboration among organizations and stakeholders. This collaborative environment fuels the development of data-driven solutions, fosters partnerships, and unlocks new market segments. CDOs and CFOs can leverage the Smart Data Protocol to drive innovation, foster collaboration, and propel market share growth.

Mitigating Risk and Ensuring Data Quality:

The Smart Data Protocol ensures data security, integrity, and privacy, mitigating risks and instilling confidence in data-driven insights. The protocol incorporates robust security measures, encryption techniques, and decentralized authentication mechanisms to protect data assets from unauthorized access or tampering. By providing mechanisms for data integrity verification, it guarantees the reliability and trustworthiness of the data. Furthermore, the Smart Data Protocol addresses privacy concerns by implementing privacy controls and ensuring compliance with data protection regulations. CDOs and CFOs can rely on the Smart Data Protocol to mitigate risks, safeguard data assets, and build trust among stakeholders.

In conclusion, the adoption of the Smart Data Protocol is crucial for organizations to innovate and manage risks simultaneously. By leveraging this protocol, CDOs and CFOs can unlock revenue potential, improve operational efficiency, gain valuable market insights, foster innovation and collaboration, and mitigate risks associated with data transactions. The Smart Data Protocol empowers organizations to maximize the value of their data assets while ensuring data security, integrity, and privacy. Its adoption becomes an obvious choice for CDOs and CFOs who prioritize risk mitigation while driving innovation and achieving their business objectives.

Conclusion

In conclusion, the adoption of data productization, data as a product or asset, and the Smart Data Protocol is not just a choice but a necessity for organizations aiming to innovate and manage risks simultaneously. By leveraging these approaches, Chief Data Officers (CDOs) and Chief Financial Officers (CFOs) can unlock the full potential of their data assets while addressing their primary concerns. Let's summarize the key points discussed and highlight the value of these concepts:

Data Productization and Data as a Product:

Data productization transforms raw data into valuable insights or services, enabling organizations to make data-driven decisions, drive revenue growth, and capture market share. It addresses challenges such as limited access to data, inefficient data processes, scalability issues, and the need to monetize data assets. By leveraging data productization, organizations can unlock revenue potential, improve operational efficiencies, gain market insights, foster innovation, and mitigate risks.

The Smart Data Protocol:

The Smart Data Protocol serves as an advanced data asset standard that provides P2P interoperability, ownership control, security, integrity, and privacy within multi-party data transactions without intermediaries. It addresses concerns related to data accessibility, ownership, security, integrity, and privacy preservation. By adopting the Smart Data Protocol, organizations can unlock revenue potential, improve operational efficiencies, gain market insights, foster innovation and collaboration, and mitigate risks associated with data transactions.

The value of data productization, data as a product or asset, and the Smart Data Protocol lies in their ability to enable organizations to innovate while effectively managing risks. These approaches empower CDOs and CFOs to optimize data-driven decision-making, drive revenue growth, improve operational efficiencies, stay ahead of the competition, foster collaboration, and ensure data security and integrity.

In today's data-driven business landscape, where innovation and risk management are crucial, data productization, data as a product or asset, and the Smart Data Protocol are not mere options but essential strategies. Organizations that embrace these approaches will position themselves as leaders, unlocking the full potential of their data assets, driving revenue growth, and achieving sustainable success.

By adopting data productization, data as a product or asset, and the Smart Data Protocol, organizations can navigate the complexities of the data landscape, innovate with confidence, and effectively manage risks. It is through these strategies that organizations can truly harness the power of data and pave the way for future growth and competitiveness.

In summary, data productization, data as a product or asset, and the Smart Data Protocol are the keys to unlocking revenue potential, improving operational efficiencies, gaining market share, fostering innovation and collaboration, and mitigating risks. By embracing these approaches, organizations can innovate and manage risks simultaneously, ensuring long-term success in the data-driven era.

We need a short and compelling introductory statement for marketing maretials that introduces the idea of data products to a non-technical reader who has never heard of data products? Please mention data products reduce the cost of new technology solutions by 90% and data cost of ownership by 30%.

Introducing Data Products: Transforming the Way You Leverage Data

In today's digital age, data is the lifeblood of successful businesses. But have you ever wondered how you can harness the power of data without breaking the bank? Enter data products – the game-changer that can revolutionize the way you unlock value from your data, without the need for extensive technical expertise.

Data products are innovative solutions that streamline the process of leveraging data to drive insights, decisions, and outcomes. By harnessing the power of advanced analytics and cutting-edge technologies, data products empower businesses to make data-driven decisions, optimize operations, and stay ahead of the competition.

What sets data products apart is their unique ability to significantly reduce the cost of new technology solutions by a staggering 90%. Gone are the days of expensive and complex implementations. With data products, you can leverage existing resources and infrastructure, unlocking the full potential of your data without heavy investments.

Moreover, data products also slash the overall data cost of ownership by 30%. Traditional data solutions often come with hefty maintenance and infrastructure expenses. Data products, on the other hand, offer a cost-effective alternative by leveraging cloud-based platforms and scalable architectures. This means you can efficiently manage and analyze your data without the burden of high operational costs.

Whether you're a business owner, marketer, or decision-maker, data products empower you to make data-driven decisions, uncover valuable insights, and drive innovation. Embrace the future of data with data products – and unlock the true potential of your organization.

Discover how data products can transform your business today!

Data Products Overview

Data products are revolutionizing the way businesses leverage data to drive insights, make informed decisions, and optimize operations. Designed to be accessible and cost-effective, data products offer a game-changing alternative to traditional technology solutions.

Unlocking the Power of Data

In today's digital age, data has become the lifeblood of successful organizations. However, harnessing its full potential can be challenging, especially for non-technical individuals. That's where data products come in.

Data products are innovative solutions that empower businesses to leverage data without the need for extensive technical expertise. By combining advanced analytics and cutting-edge technologies, data products transform raw data into actionable insights, enabling businesses to make data-driven decisions and stay ahead of the competition.

Reducing Costs, Maximizing Value

One of the key advantages of data products is their ability to drastically reduce the cost of new technology solutions by 90%. Gone are the days of expensive and complex implementations. With data products, businesses can leverage existing resources and infrastructure, unlocking the full potential of their data without heavy investments.

Additionally, data products also slash the overall data cost of ownership by 30%. Traditional data solutions often come with hefty maintenance and infrastructure expenses. Data products, on the other hand, leverage cloud-based platforms and scalable architectures, offering a cost-effective alternative for managing and analyzing data.

Empowering Growth and Innovation

Whether you're a business owner, marketer, or decision-maker, data products empower you to make data-driven decisions, uncover valuable insights, and drive innovation. By providing accessible tools and streamlined processes, data products enable organizations to harness the power of data and unlock new opportunities for growth.

Embrace the future of data with data products and discover how they can transform your business today. Maximize the value of your data while minimizing costs – it's time to unlock the true potential of your organization.

We need to create a table of Smart Data Product ‘problems, features, and benefits’ statements? Can you create a table with smart data product problems, features, benefits, then in a fourth column combine the other three into one 3 sentence summary?

Here is a table of Smart Data Product ‘problems, features, and benefits' statements:

Problem

Feature

Benefit

Summary

Lost Opportunities

Easy access to valuable data

Unlock opportunities and save time and effort in data collection and preprocessing

Smart Data Product provides easy access to valuable data, saving time and effort and unlocking opportunities.

Lost Revenue

Monetization of data assets

Generate additional income and unlock the value of data assets

Smart Data Product enables the monetization of data assets, creating new revenue streams and maximizing the value of data.

Lost Efficiencies

Streamlined data access, analysis, and integration

Improve operational efficiencies and save time and resources

Smart Data Product streamlines data access, analysis, and integration, improving operational efficiencies and saving time and resources.

Lost Market Share

Drive innovation, collaboration, and market insights

Gain a competitive edge and capture new market segments

Smart Data Product drives innovation, collaboration, and market insights, helping organizations gain a competitive edge and capture new market opportunities.

There are no rows in this table

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And here is a combined summary of the problems, features, and benefits:

The Smart Data Product solves the problems of lost opportunities, lost revenue, lost efficiencies, and lost market share. It provides easy access to valuable data, enabling organizations to unlock opportunities and save time. By monetizing data assets, it generates additional income and maximizes the value of data. The Smart Data Product also streamlines data access, analysis, and integration, improving operational efficiencies and helping organizations gain a competitive edge in the market.

great lets add automated complinace, improved data quality, integrity, and trust, Data Inaccuracies and Biases, Data Privacy and Security, and Data Integration Challenges

Sure! Here's a table that includes Smart Data Product problems, features, benefits, and a three-sentence summary:

Table 2

Table 2

Problem

Feature

Benefit

Summary

Automated Compliance

Streamlined regulatory compliance

Ensures adherence to data regulations

The Smart Data Product automates compliance processes, ensuring organizations comply with data regulations and avoid costly penalties.

Improved Data Quality, Integrity, and Trust

Robust data validation and verification

Enhances data reliability and trust

By implementing rigorous data validation and verification mechanisms, the Smart Data Product improves data quality, integrity, and trustworthiness.

Data Inaccuracies and Biases

Data validation and bias detection

Mitigates risks of inaccurate insights

The Smart Data Product includes data validation processes and bias detection mechanisms, reducing the risk of inaccurate insights and biased decisions.

Data Privacy and Security

Encryption and access control

Safeguards data from unauthorized access

With robust encryption and access control measures, the Smart Data Product ensures the privacy and security of sensitive data assets.

Data Integration Challenges

Streamlined data integration

Facilitates seamless data sharing

The Smart Data Product streamlines data integration processes, reducing data silos and enabling organizations to leverage data from various sources.

There are no rows in this table

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Summary: The Smart Data Product addresses automated compliance, improved data quality, integrity, and trust, data inaccuracies and biases, data privacy and security, as well as data integration challenges. By automating compliance processes, organizations can ensure adherence to data regulations. The product's robust data validation and verification features enhance data reliability and trust. It also includes mechanisms for bias detection, mitigating the risks of inaccurate insights. With encryption and access control measures, the Smart Data Product safeguards data from unauthorized access. Additionally, it streamlines data integration, enabling seamless sharing of data from various sources.

Four main problems with existing data architectures without Data Products

Data pipelines are redundant, fragmented, and not reusable: This leads to inefficiency in data processing, duplication of efforts, and increased maintenance costs.

Inconsistent data quality, formatting, meaning, with poor interoperability: This results in unreliable insights, difficulties in data analysis, and challenges in integrating data from different sources.

Systems are isolated and data is siloed: This hinders collaboration, limits data accessibility, and prevents organizations from leveraging the full potential of their data assets.

Resulting in compounding complexity, costs, and risks: This leads to increased complexity in managing data, higher operational costs, and greater risks of errors, inconsistencies, and security breaches.

Four main benefits with adding Data Products?

Data pipelines are simplified and reusable: This leads to streamlined data processes, reduced maintenance efforts, and cost savings due to the elimination of redundancies in data pipelines.

Data is reusable with consistent quality, meaning, and formatting: This results in reliable insights, accurate analysis, and improved decision-making capabilities, as well as reduced errors and increased efficiency in data integration.

Systems and data are interoperable and compliant: This enables seamless communication and collaboration between different systems, improved data sharing and integration, and adherence to regulatory requirements, ensuring data compliance and avoiding penalties.

Resulting in significant cost efficiencies and lowered risks: This leads to cost savings by optimizing resources, reducing data duplication, and minimizing the risk of errors, breaches, and non-compliance, resulting in improved operational efficiency and reduced financial risks.

Four main benefits with using Smart Data Products

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Four main business benefits

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Main benefits of blockchain solutions within the enterprise - quality assurance and traceability of transactions were selected by 47% of respondents; overall efficiency by (45%); reduction of operation costs (43%); shared ecosystem and software standards (39%); ability to share data with greater security (35%); increased accountability (34%); single source of truth among many participants (32%); audibility (32%); and new revenue sources (29%).

Define your organization’s blockchain application by industry category: supply chain was the top (42%); followed by financial services (37%); energy and resources (22%); identity management (21%); sustainability (18%); mobility & transportation (16%); healthcare (14%); education & research (14%); government & legal (10%); and media & entertainment (8%).

Explain the difference between Data Products versus Data as a Product?

What are the most critical problems and meaningful risks Data as a Product solves?

Let’s introduce the Smart Data Protocol as a standard for Data as a product or Asset that provides interoperability, data ownership, security, integrity and privacy within multi-party data transactions without intermediaries that results in enhanced data quality, trust, compliance, and risk reduction/management?

Introducing the Smart Data Protocol: Unlocking the Potential of Data as a Product

Interoperability and Data Ownership

Security, Integrity, and Privacy

Enhanced Data Quality, Trust, and Compliance

Risk Reduction and Management

Can we detail the solution and benefits the Smart Data Protocol Offers to each problem and risk?

How the Smart Data Protocol Addresses Problems and Challenges

We need a short and compelling introductory statement for marketing maretials that introduces the idea of data products to a non-technical reader who has never heard of data products? Please mention data products reduce the cost of new technology solutions by 90% and data cost of ownership by 30%.

Data Products Overview