Leveraging Data Marketplaces: Benefits, Challenges, & Solutions


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As business continues to evolve and grow, companies need help managing the vast amounts of data generated from the proliferation of big data and the Internet of Things (IoT). The abundance of data creates several new challenges for organizations, including organizing, securing, and ensuring data accuracy and that the right people can access it.

Fortunately, there is a solution to these challenges—the data marketplace. While data marketplaces hold tremendous potential, businesses must navigate several hurdles to fully leverage the benefits. To overcome these obstacles, it’s essential to gain a deep understanding of how data marketplaces operate. Doing so can unlock the full potential of the platform and give businesses a competitive edge.

In this blog post, we will explore the concept of a marketplace for data and address key questions on leveraging them. Furthermore, we will closely examine the available marketplaces, the benefits and challenges of setting up a marketplace for data, and how a well-designed data marketplace can transform a company’s data landscape and lead to better results. More still, we will discuss what the future of these marketplaces for data may look like.

What is a Data Marketplace?

A marketplace for data is an online platform for buying and selling data. It serves as a centralized or decentralized hub where organizations and individuals can access, purchase, and sell data, making it easier to discover, process, and use large volumes of information in a secure environment.

A marketplace for data can provide diverse or niche datasets and can be utilized for various purposes such as data analysis, research, marketing, and even machine learning and artificial intelligence.

As a bridge between data providers and consumers, data marketplaces allows businesses to monetize their data and for data consumers to purchase data for their use. The marketplace creates a win-win situation, allowing companies to earn revenue from their data while enabling others to access valuable information they may not have obtained otherwise. This leads to a more efficient and cost-effective data landscape, where businesses can focus on their core competencies and use data to drive growth and innovation.

With a marketplace for data, businesses can access, purchase, and sell data with greater ease and efficiency, leading to better data management, increased productivity, and improved decision-making.

Furthermore, a data marketplace helps to reduce data silos while creating new opportunities for businesses to monetize their data and for others to access valuable information.

Types of Data Marketplaces

There are several types of data marketplaces, including internal, external, hybrid, and decentralized data marketplaces. Let’s explore each type in detail.

Internal Data Marketplace

An internal data marketplace is a platform within an organization where different departments can exchange and share data. This type of marketplace is designed to promote data sharing, collaboration, and utilization of data assets within the company.

The platform provides a centralized location for data discovery, allowing departments to access data they might not otherwise have access to, improving decision-making, and reducing data silos. The marketplace for data should promote organizational data governance and security, ensuring that data is used correctly and complies with company policies.

External Data Marketplace

An external data marketplace is a platform that operates outside of an organization. It enables businesses to buy and sell data with other companies or individuals. External data marketplaces provide a wealth of information that may not be available through internal sources, making it an essential tool for businesses looking to expand their knowledge and stay ahead of the competition.

Hybrid Data Marketplace and Multilayered Data Marketplace

A Multilayered marketplace is a platform that combines elements of internal and external marketplaces for data. It provides monitored access to datasets depending on the “layers” of the dataset, including raw, processed, or derived data that’s been aggregated, transformed, or otherwise changed in some way to offer it to external data consumers.

A hybrid data marketplace offers both an internal and external storefront. In other words, some parts of the data marketplace are available to view publicly through a link, while others can only be accessed through a private link. This controls data access so one platform can be utilized for an internal and external audience. Licensing is maintained for different user access levels, so, for instance, a large dataset could be fully available for internal users. Still, only small parts could be available for external data consumers.

Aggregated Data Marketplace

An aggregated data marketplace sells data that are combined from various sources. For instance, an IoT marketplace for data could be considered an aggregated data marketplace, as it combines data from various smart device sensors (smartphones, connected cars, etc.) and provides that data for sale. The aggregated datasets can be listed by data providers or the data marketplace owner. By aggregating data from multiple sources, these platforms offer a one-stop-shop for data consumers to access diverse data sets.

Revelate as a Data Marketplace Solution

Regardless of the type of data marketplace you’d like to create, Revelate can accommodate your business needs with one dynamic storefront. This means that users with different credentials will be able to access the data that they need and/or are authorized to access, whether they are internal or external users. For instance, you’re a financial institution selling transactional data using different credit cards. Sensitive information like names, addresses, etc. would be removed, leaving only the data required for purchase.

Further, only datasets that the user can access will be displayed on the storefront based on their credentials, minimizing confusion and ensuring ease of access.

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Data Marketplaces vs. Exchanges on a Data Cloud

Data marketplaces and exchanges on a data cloud are two distinct platforms, but they share similarities in terms of their purpose and function. However, there are several key differences between them:

Marketplace for Data Exchange of Data on Cloud
Data products are purchases with money or via a subscription Data products are exchanged one-to-one, or made available to anyone to access (provided they meet the licensing and access requirements)
Data can be made publicly available, or through limited access via a private data marketplace Similar to a data marketplace, data can be made publicly or privately available
More of a one-sided relationship where the data provider provides a dataset for sale and the data consumer purchases it. Typically has a longer sales cycle for larger datasets. Datasets provide mutual value to the members of the data exchange

Due to technical advancements in how data sharing or monetization platforms work, the terms data marketplace and data exchange have become synonymous. Basically, platforms that can facilitate data transfer between two organizations can typically provide the full gambit of monetization options or exchange options, fully accommodating how an organization wants to facilitate data transfer.

Revelate supports a marketplace for data and data exchange functionality. Complete customization options, from how metadata for data products is displayed, data product segmentation, and white-labeling with your organization’s logo and colors, is possible. Discover how Revelate can revolutionize your data monetization or sharing initiatives. Get Started

Benefits and Uses for a Marketplace for Data


A marketplace for data offers several key benefits and uses for businesses and organizations:

  • Access to a wide range of data: Marketplaces provide access to a vast collection of data from multiple sources, making it easier to find the specific data you need.
  • Improved data quality: Marketplaces have a vested interest in ensuring that data providers are selling or sharing high-quality data products, since it affects the reputation and user buy-in for the marketplace.
  • Data governance: Marketplaces have the ability to manage data access, usage, and compliance, ensuring that data is being used in a secure and responsible manner.
  • Increased efficiency: Marketplaces can help organizations to streamline their data procurement process, reducing the time and resources required to obtain the data they need.
  • Increased collaboration: Marketplaces encourage collaboration between organizations and internally, helping to break down data silos and improving the flow of information.
  • New revenue streams: Marketplaces offer businesses the opportunity to monetize their data, creating a new source of revenue.
  • Competitive advantage: Access to high-quality data can provide a competitive advantage, helping companies to make informed decisions and stay ahead of the curve.
  • Better decision-making: By providing access to a wealth of data, marketplaces can help organizations to make better-informed decisions, increasing the accuracy and effectiveness of their data-driven insights.

A marketplace for data offers numerous benefits and uses for businesses and organizations and can be an essential tool in helping organizations to improve their data strategy and make better-informed decisions.

When do you Need a Data Marketplace?

Do you feel bogged down by the hurdles of accessing, sharing, and utilizing data within your organization? Do you find it difficult to break through data silos, manage poor data quality and unlock the full potential of your valuable data?

If your answer is a resounding yes, a data marketplace may be the solution to your data democratization woes.

Traditionally, IT teams were burdened with data fulfillment for internal and external data consumers. In other words, if someone from marketing needed data from finance to determine an accurate number of conversions on a product, the responsibility of fulfilling that data order would fall to IT.

Data marketplaces are a game-changer for businesses. With a data marketplace solution like Revelate, it is possible to create a private or public storefront where all stakeholders can easily access datasets with just a click of a button. This makes it much easier for people to find and use the data they need.

The process of delivering the data is automated, which means it can be done without needing much involvement from people. Even though the process is automated, the rules around data governance, privacy, and security are still followed. This means that confidential or sensitive datasets are still kept safe and secure.

By making data more accessible, a data marketplace democratizes access to information without sacrificing safety. It also takes some of the burden off of IT teams who would otherwise be responsible for fulfilling data requests.

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Revelate provides a suite of capabilities for data sharing and data commercialization for our customers to fully realize the value of their data. Harness the power of your data today!

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How Does Marketplace Data Improve Data Sharing?

A marketplace for data improves data sharing by providing a centralized platform for exchanging data. This platform offers several benefits for data sharing:

  • Standardization: Data marketplaces enforce data standards to ensure that data is in a consistent and easily understandable format, making it easier to share and access.
  • Accessibility: Data marketplaces make it easier for users to search, browse, and retrieve data, reducing the time and effort required to find the data they need.
  • Quality control: Data providers on a marketplace are required to ensure the accuracy and relevance of the data they share, ensuring that the data available on the platform is high quality and trustworthy.
  • Security: Data marketplaces can provide secure data sharing by implementing strict security measures to protect sensitive information and prevent unauthorized access.
  • Data discovery: Data marketplaces make it easier for businesses to discover new data sources, expanding the types and sources of data available to them.
  • Monetization: Data marketplaces also provide a platform for data owners to monetize their data, encouraging them to share their data and creating a more vibrant and diverse data ecosystem.

By providing these benefits, a marketplace for data helps businesses to access the data they need, improving their ability to make informed decisions and drive growth.

The Influence of Data Marketplaces on Data Strategies

The influences of data marketplaces on data strategies are numerous. They can best be understood by evaluating enterprise data marketplaces and how internal data marketplaces transform a company’s data landscape.

Enterprise Data marketplaces

An enterprise marketplace for data is a platform for exchanging and trading data within an organization. It provides a centralized and secure location for buying, selling, and exchanging data among different departments, business units, and partners. An enterprise data marketplace aims to facilitate the discovery, exchange, and monetization of data assets, promoting data-driven innovation and decision-making within the enterprise.

How a Well-Designed Data Marketplace Architecture can be the Solution to Your Data Challenges

A well-designed data marketplace architecture can solve data challenges by:

  • Improving data discovery: a centralized platform makes it easy for data consumers to find and access relevant data sets.
  • Streamlining data exchange: standardizing data formats, quality control processes, and metadata management can help simplify data exchange.
  • Facilitating data monetization: creating a marketplace for data can help organizations realize the value of their data assets, generating new revenue streams.
  • Enhancing data security: secure data sharing practices and user authentication and authorization can help protect sensitive data.
  • Driving data-driven innovation: making data more easily accessible can help encourage data-driven decision-making and innovation.

Overall, a well-designed data marketplace can address common data challenges, promote data literacy and innovation, and help organizations realize the full potential of their data assets.

How Can Internal Data Marketplace Transform Your Data Landscape?

An internal data marketplace can transform the data landscape by:

  • Centralizing data access: a single platform makes it easy for employees to find and access the data they need, improving productivity and efficiency.
  • Enhancing data quality: standardizing data formats and implementing quality control processes can help improve the accuracy and reliability of data.
  • Fostering data-driven culture: promoting data literacy and making data more accessible can help encourage a data-driven culture within the organization.
  • Improving data security: secure data sharing practices and user authentication and authorization can help protect sensitive data.
  • Maximizing data value: creating a marketplace for data can help organizations realize the full potential of their data assets and make better use of data-driven insights.

By transforming the data landscape, an internal data marketplace can drive innovation, promote data literacy, and help organizations make better use of their data.

Key Strategies for Building and Managing an Internal Data Marketplace Framework


  1. Define data governance policies: establish clear policies and procedures for data access, usage, and management to ensure data security and quality.
  2. Build a data catalog: create a centralized repository of data assets, including metadata and data dictionaries, to facilitate data discovery and exchange.
  3. Establish data standardization: standardize data formats and metadata to simplify data exchange and improve data quality.
  4. Implement security and privacy measures: ensure secure data-sharing practices and implement user authentication and authorization measures to protect sensitive data.
  5. Foster collaboration and data literacy: encourage collaboration and data literacy by promoting data-driven decision-making and training employees on how to use the marketplace for data.
  6. Continuously monitor and improve: regularly evaluate the data marketplace’s performance, address any issues, and continuously improve processes to ensure the platform meets the changing needs of the organization.

By implementing these strategies, organizations can build and manage a robust internal data marketplace framework that drives innovation, improves data literacy, and maximizes the value of data assets.

Components of Internal Data Marketplace Framework

The critical components of an internal data marketplace framework include:

  • Data Cataloging: A centralized system that catalogs and classifies all data assets within the organization to make it easily discoverable and accessible to authorized users.
  • Data Governance Model: A set of policies, processes, and procedures that regulate the management and use of data within the organization to ensure data accuracy, security, and privacy.
  • Data Automation: The use of technology to automate repetitive data-related tasks and processes, such as data extraction, transformation, and loading.
  • Data Quality Management: A process for ensuring that data is accurate, consistent, and fit for its intended purpose.
  • Data Access and Security: Mechanisms for controlling who can access and use data, including data encryption, access controls, and security audits.
  • Metadata Management: A system for capturing and storing information about data, such as data definitions, data lineage, and data ownership.
  • Data Integration and Data Movement: Mechanisms for integrating data from multiple sources and moving data between systems and applications.
  • Data Analytics and Reporting: Tools and platforms for analyzing and reporting on data to support informed decision-making and data-driven insights.
  • Data Monetization: Strategies and approaches for generating revenue from data, such as licensing, selling, or trading data.
  • By incorporating these components, an Internal Data Marketplace Framework can help organizations effectively manage and leverage their data assets to support business goals and initiatives.

By integrating these components, organizations can build a comprehensive and effective internal data marketplace framework that drives innovation, improves data literacy, and maximizes the value of their data assets.

What Does a Decentralized Data Marketplace Mean for the Future?

A decentralized data marketplace is a system where data can be bought, sold, and traded without the involvement of a central authority. This has the potential to significantly impact the future of data management and usage. Firstly, it could increase privacy and security for data as there is no central authority controlling transactions, reducing the risk of data breaches. Secondly, it could make data transactions more efficient and cost-effective, as well as provide better access to valuable data for individuals and organizations. It could also give individuals more control over their personal data.

Decentralized data marketplaces have the potential to greatly change the way data is managed and used. The absence of a central authority controlling transactions could increase privacy and security, while also making data transactions more efficient and cost-effective. The decentralized system could also provide better access to valuable data and give individuals more control over their personal information. This could lead to more innovation and growth in various industries.

Examples of Companies That Leverage Data Marketplaces

The following companies are leveraging the power of data to inform their business decisions, improve their products and services, and stay ahead of the competition. The use of data marketplaces is becoming increasingly important as businesses recognize the value of data in today’s data-driven world.

Companies How They Use Data Marketplaces
Dun & Bradstreet Provides a range of business data and analytics to companies and financial institutions
AccuRate Offers a wealth of financial data and analytics covering a variety of financial instruments and markets
Epsilon Delivers data-driven insights and solutions that inform marketing campaigns
Zillow Provides valuable data and analytics on the housing market, aiding in home buying and selling decisions.
Experian Provides credit and marketing data to companies and financial institutions.
NASA The National Aeronautics and Space Administration operates a marketplace for data that offers satellite imagery, climate data, and other scientific data sets to researchers and businesses.
Ayasdi to provide data-driven insights and solutions to inform medical decision-making in the healthcare industry.



In conclusion, data marketplaces are a powerful tool that can help organizations manage, monetize, and make use of their data. With its ability to centralize and streamline data access, ensure data quality and governance, and provide access to a wide range of data, data marketplaces have the potential to transform the way organizations use data. Whether you are an individual, a small business, or a large corporation, there is a marketplace for data that can meet your specific needs and goals.

To realize the full benefits of a marketplace for data, it is important to have a well-designed platform that can meet your specific needs and requirements. A well-designed marketplace for data should be user-friendly, scalable, and able to provide the level of security and data governance that your organization requires.

If you are considering setting up a marketplace for data or want to learn more about the different types of marketplaces and their benefits, don’t hesitate to reach out to us. Our team of experts can help you understand the benefits of data marketplaces, evaluate your specific needs and goals, and guide you in setting up a platform that meets your needs.

So, what are you waiting for? Take the first step in unlocking the full potential of your data and contact us today!

Unlock Your Data's Potential with Revelate

Revelate provides a suite of capabilities for data sharing and data commercialization for our customers to fully realize the value of their data. Harness the power of your data today!

Get Started