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Data and analytics have been around for a long time, but monetizing data products is relatively new. Data monetization became imminent as businesses began recognizing the value of their data.
However, monetizing organizational data is a challenging process. It requires time, resources, and professionals with specialized expertise to manage properly. The process of extracting data from a source, transforming it, and otherwise preparing it for distribution can be arduous, especially for an organization with disorganized data and where the data quality can’t be verified.
That’s where data monetization consultants come in. These professionals can help your organization build a strategy to monetize your data, preparing your organization for bringing data to market.
What Does a Data Monetization Consultant Do?
Data monetization consultants develop strategies for collecting, storing, analyzing, and commercializing data. They also help organizations identify and understand the value of their data assets. Data monetization consultants help businesses implement data privacy and security measures.
To be effective, data monetization consultants must understand data management, analytics, and commercialization.
The following are the responsibilities of a data monetization consultant:
- Identify available data for monetization
- Identify use cases for data
- Define market opportunities
- Create a roadmap for monetization
1. Identify Available Data for Monetization
A data monetization consultant usually follows these steps to help identify available data for monetization:
Identify potential data sources (data discovery): Data monetization consultants must analyze existing data sets, identify gaps in the data, and assess the relevance of the data.
Understand the value of the data: The consultant should work with the organization to understand the value of certain data assets. Understanding the data’s value requires analyzing the business value of the data in the organization’s industry, including potential use cases and applications, and accessing the market’s demand for the data.
Assess data privacy: The consultant ensures monetizing the data doesn’t breach the privacy guidelines surrounding the data’s usage. It’s vital also to identify potential risks associated with the data, and classify it as low or high-risk data. Further, strategies surrounding removing sensitive information from datasets should be identified and implemented.
Prioritize data sources: Consultants prioritize data sources based on their potential value to a target market. Therefore, the organization can focus on the most promising opportunities by focusing on the low-hanging fruit first while the discovery and analysis of other potential data monetization sources are conducted.
2. Identify Use Cases for Data
The following steps help identify use cases for data:
Understanding the organization’s business model: Data monetization consultants must understand the organization’s products and services, including their value propositions and the target market.
Identify key business questions: The consultant identifies key business questions that data can help answer. The questions are usually related to the organization’s goals and objectives. These questions may border on customer needs, business innovation, and competitors’ strategies.
Assess data availability and quality: The consultant must verify if the organization’s available data is sufficient to answer questions such as: How can we improve our products or services to increase customer retention? And how effective is our marking strategy?
Develop and prioritize use cases: The consultant will develop use cases based on available data and key business questions. Use cases are focused and specific, and they demonstrate how data can be used to drive business value. The consultant will work alongside the organization to prioritize the use cases based on the feasibility of monetization and the potential value of the data.
3. Define Market Opportunities
Evaluate monetization opportunities: Evaluating monetization opportunities may include market demand analysis, identifying potential revenue streams, and assessing the practicality of the monetization approach.
Analyze data assets: The consultant analyzes the organization’s assets and identifies revenue-generating opportunities. Accessing the different data types, data gaps, and business models may reveal these opportunities.
4. Create a Roadmap for Monetizing Your Data
Data modeling: Consultants help create a model to estimate the revenue from data monetization activities. Creating these models involves developing a pricing model, forecasting revenue, and calculating ROI.
Cataloging data: Just like a library organizes its books so they are easy for patrons to find, a company needs to organize its data assets. Using data catalog tools, the metadata of a data asset can be read to determine its current location, its format, where it came from originally, its potential use cases, and much more.
Restrictions for monetizing specific data: Privacy laws and regulations exist worldwide to protect sensitive and personal data from getting into the wrong hands. Data governance protocols help ensure that sensitive or confidential data is restricted from access for specific users by removing that data from a data set completely or limiting access to the entire data set based on the user’s credentials.
5. Other Responsibilities of Data Monetization Consultant
Additional responsibilities of a data monetization consultant include the following:
Develop data monetization strategies: The strategy may involve creating new products or services, running a data-driven marketing campaign, or licensing data to third parties.
Work with cross-functional teams: A data monetization consultant collaborates with different teams within the organization, such as sales and marketing, data science, and IT, to ensure the implementation of data monetization strategies.
Monitor and optimize data monetization activities: The consultant continuously identifies opportunities for optimization and improvement.
How Can Data Monetization Consultants Enhance Your Data Strategy?
A data monetization consultant will enhance your data strategy in the following ways:
- Identify new data-driven revenue streams: Data monetization consultants can identify opportunities you may have yet to consider. Analyzing your data assets can help them understand how to extract value from them in new and innovative ways.
- Develop a data monetization strategy: These consultants help you develop a data monetization strategy in alignment with your business objectives. For example, they may identify your most valuable data assets, determine how to price and package your data, and develop a marketing and selling strategy.
- Optimize data collection and analysis: These consultants help you optimize your data collection and analysis processes, ensuring you are collecting the right data and making the best use of the data. As a result, data monetization consultants may have to develop new data collection methods, improve data quality, or use new analytical techniques.
- Ensure compliance with data privacy regulations: Navigating the landscape of data privacy regulations is complex. But data monetization consultants help ensure you comply with all relevant laws and regulations, such as GDPR and CCPA, that govern the collection, use, and sharing of personal data.
- Improve data governance: They help you establish data governance policies and procedures to ensure your data’s accuracy, reliability, and security. They may have to develop data management frameworks, establish data quality standards, and implement data security measures.
- Measure and optimize data monetization activities: These consultants can help you measure the effectiveness of your data monetization activities and identify opportunities for improvement. Optimization includes tracking key performance metrics, analyzing customer feedback, and using data to inform strategic decision-making.
How Data Monetization Fuels Business Growth
Should you monetize your organization’s data? While data monetization will create a new revenue stream for your business, its benefits are more far-reaching than simply financial gain. Consider these additional benefits of monetizing your company’s data:
- Gain a competitive advantage: Monetizing your data will differentiate your business from competitors. You can leverage this distinction to form partnerships with complementary businesses, improve customer loyalty, and increase market share.
- Increased market intelligence: Data monetization will help your organization gain valuable insight into customer behavior and market trends. This insight will help improve your offerings and operations.
- New revenue streams: Selling or licensing data on a data marketplace allows organizations to profit financially from their valuable or unique business data. These new revenue streams may include selling insights to third-party companies, developing new products or services based on data insights, or optimizing pricing strategies and increasing sales using data.
- Increased brand awareness: Being recognized as a valuable data source increases your organization’s brand awareness and market reputation.
- Improved customer experience: Analyzing data helps businesses better understand their customers to deliver personalized experiences that meet their needs and preferences. This customer experience includes targeted marketing campaigns, personalized product recommendations, or customized services.
- Operational efficiencies: Data monetization can help businesses identify operational inefficiencies and optimize processes to improve productivity and reduce costs. For example, companies use data to optimize supply chain management, improve logistics, and streamline production processes.
- Data-driven decision-making: Businesses can make more informed decisions that are based on insights and analytics by leveraging data and not simply guesswork. As a result, these businesses can identify new growth opportunities, develop more effective strategies, and make better investment decisions.
Data monetization can fuel business growth by providing new revenue streams, driving operational efficiencies, improving customer experience, enabling data-driven decision-making, and providing a competitive advantage. Next, let’s go through the ROI on data assets.
What Are the Different Ways You Can Get a Return on Your Data Assets?
You can get a return on your data assets in these ways:
- Selling Data
- Operational Improvements
- Decrease Decision-Making Time
- Favorable Contractual Terms
- Offer Enrichment
Selling Data
Selling your data will increase revenue for your business. However, the value of your data will depend on the marketplace, the type of data, and the demand for it.
Operational Improvements
Data monetization doesn’t always have to result in a clear-cut financial benefit. Sometimes, organizations use indirect data monetization methods to improve their operations, aid in the development of new products or services, or improve existing products and services, which has a cascading effect that can save or earn the business money.
For example, data analysis for an e-commerce store may reveal products that do better at a specific time of the year or advertising channels that are more effective than others. As a result, you can make better inventory management and marketing decisions with this knowledge.
Similarly, analyzing data on a manufacturing operation can give you the insight to reduce downtime, optimize maintenance, and prolong your equipment’s lifetime.
Decrease Decision-Making Time
Decreasing decision-making time through data analysis is an excellent return on investment for your data.
For example, data analysis helps you monitor sales trends and inventory levels to identify products you should restock or adjust prices to remain competitive in your retail business. Swift decision-making enables you to avoid costly stock-outs while staying ahead of the competition.
Likewise, data analysis will help you identify what equipment needs repair or replacement in a manufacturing operation. Consequently, you can minimize downtime and maintain smooth operations.
Favorable Contractual Terms
If your business regularly enters into contracts with third parties, you can leverage data and analytics to negotiate better terms, thus saving you money.
For example, a small business that frequently purchases supplies from a vendor can negotiate better payment or pricing based on data analysis. Analyzing your purchasing history will identify patterns or trends to help you negotiate volume discounts or other favorable terms.
Offer Enrichment
Data helps you understand customer preferences and behavior to help you offer personalized recommendations and tailored experiences to enhance client satisfaction and loyalty.
For example, an e-commerce business can use data to analyze customer purchase history and browsing behavior and make personalized product recommendations with insight. Helpful recommendations will improve conversion and customer retention rates.
Likewise, a financial services company will offer personalized financial advice and product recommendations specific to each customer’s needs.
Various Sales Models for Data Monetization
A data monetization consultant uses one or more of these sales models to monetize your data assets:
| Model | Explanation |
| Direct sales | Companies sell their data assets to other businesses directly |
| Data marketplace | Data buyers and sellers can connect and transact |
| Subscription model | Customers pay a recurring fee for access to the latest data set |
| Pay-per-use model | The customer is charged a fee for the data that they use |
| Data exchange model | Data is exchanged between a specific group of companies or individuals |
| API model | Customers can access a company’s API to extract the data they need for their applications or analysis |
Revelate is a self-service data marketplace solution where companies can sell their data assets directly to other businesses or individuals. The process is simple and straightforward, with no need for the involvement of IT teams. Revelate provides the infrastructure and technology to enable data buyers and sellers to connect and transact efficiently, regardless of your chosen sales model.
The platform supports public, private, and hybrid marketplace models, and robust, centralized security and access management (through our partner Immuta) allow automatic checks and balances to be performed when a data product is requested. This ensures that the individual has the right credentials to access the entire data product or a portion of it.
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!
Factors You Need to Consider for Data Monetization
There are three distinct factors to consider before monetizing data:
- Compliance
- Data Collected
- Consulting
Compliance
Ensuring compliance with data privacy regulations is crucial for data monetization since these regulations protect personal information and confirm data’s ethical and responsible use. Consequently, compliance to protect an individual’s privacy is a legal and moral responsibility.
Non-compliance with data regulations has adverse effects, such as reputational damage, financial penalties, and legal action. Moreover, data privacy regulations do evolve. Therefore, companies that want to monetize their data must keep up with these regulations.
Data Collected
Data quality and quantity are important factors for monetization. Generally, high-quality data enables more accurate analysis, insights, and decision-making.
Similarly, a large data volume will reveal patterns and insights that may be difficult to spot. However, data quantity is not always as important as quality.
Consulting
As we’ve seen, a data monetization consultant is valuable to organizations that want to monetize their data effectively. Of course, data monetization is complex and rapidly evolving, but an expert in this area is an invaluable guide for a company that wishes to monetize its data.
Conclusion
The big data industry will grow further in the coming years. So we founded Revelate as a fully featured data marketplace solution that you can use to strategically position your organization as a key data provider in your domain or industry.
Revelate supports your data monetization sales models, whether you want to provide a data subscription, pay-as-you-go, or one-time purchases through an automated, self-service system that enforces your security and access policies.
Book a demo with us today to learn more about custom data solutions and how these can support your data monetization strategy.
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!
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