Your company data could be a hidden goldmine

Monetising and selling data as an Analytics & Insight Product can offer endless scalability and internationalization opportunities. Find out how we can help your business realise this high-growth opportunity.

What if…
your data could turn into a multi-million dollar revenue stream?

Your Opportunity

The hunger for alternative data is growing at double-digit rates globally, as it can help companies improve their decisions' speed, quality, and accuracy. Digitalisation and digital transformation result in the generation of unlimited data.
Your company data could become part of the rapidly expanding "alternative data market" and become a new high-growth revenue stream for your business.

Your company data could be worth
millions if monetised and sold

Do you know company data is
already being sold?

For years, various industries have found an alternative revenue generator by monetising and selling their company data, resulting in millions of dollars in revenue. These industries include finance, government, retail, technology, and telecommunications. There are several highly relevant examples of data types and use cases where companies are currently monetising and selling data, such as investment, trading, compliance, supply chain, and advertising purposes. You can find further details below on the examples of types of data that can be relevant and their use cases, plus we have included examples from various industries on our "Industry Examples" page

Kinds of Data That Can Be Monetised
and for What Purpose:

Operational data – This data includes internal data about business processes and operations, such as supply chain, inventory management, and financial data. It can be monetized to provide insights into the business’s performance and efficiency, identify cost savings opportunities, and streamline processes.

Customer data – This data includes information about customers’ demographics, behavior, preferences, and interactions with the company. It can be monetised to create targeted marketing campaigns, improve customer experience, and identify new business opportunities.

Industry-specific data – This data includes information about the industry, such as market trends, competitors, and regulations. It can be monetised to provide insights into the industry’s performance and trends, identify potential new markets, and improve decision-making.

Example Data &
Monetization Use Cases:

Example Methods to Monetise Data:

Data-as-a-Service (DaaS) – Providing access to your data via APIs for a fee or subscription model.

Insights-as-a-Service (IaaS) – Offering data-driven insights, analysis, and recommendations to customers for a fee.

Direct Sales – Selling your data to interested parties such as investors, researchers, or other companies.

Why Choose Us

Ensensor Insight brings our clients a unique blend of international experience and a global outlook, leveraging over 20 years of expertise in monetising and selling data. Our team members have held international leadership positions in sales, product management, strategic business development, partnerships, and communication. This gives us a multi-disciplinary perspective that enables us to work effectively with and align stakeholders around a unified objective. Our experience includes successfully implementing large-scale, data-driven transformational projects with critical stakeholders such as leadership, sales, product management, legal, partners, and end clients. This proven track record enables us to deliver tailored, end-to-end solutions that help our clients monetise and sell their data successfully. We work with various clients and partners, including Fortune 500 companies, government institutions, and fintech/startups across different industry sectors. With our expertise and resources, we can help you unlock the full potential of your company data and build a new high-growth revenue stream for your business.

Schedule Free "Data Market Fit Assessment" Today

Let us help you get started by understanding the potential of your data before you invest a lot of hours and money.