New ways of generating revenue from data
Making data easy to tie together is the key to getting the most out of it. For bootstrapped data divisions, this is a lot easier said than done, because it's not a single-step process.
ThinkData does the heavy lifting for you. Our catalog puts all of your data in one place, manageable, accessible, and shareable through a single point of control. It also normalizes data using automation, making it easier to mix and merge data from different sources.
Through data enrichment, we make it possible to scalably and consistently append data to records to create meaningful connections across datasets. Pivot around a unique identifier, tie company names to ticker symbols, or standardize addresses across any variety.
All organizations generate data as a byproduct of doing business, sometimes referred to as ""data exhaust."" This data has value beyond internal analysis – it can be brought to market. As the appetite for external data grows in every industry, more and more uses for alternative data create new opportunities for data to be repackaged and sold.
With ThinkData, we offer the easiest way to monetize your data. By providing the infrastructure, we give you a secure mechanism to distribute data in a repeatable and scalable way. We also offer the ability to maintain anonymity as a data vendor to ensure protection and security. Allow data to flow through a platform that automates the complexity in making money from your data.
Ready to make data a new revenue stream?
A single ecosystem for accessing and sharing external data solves an incredible number of business problems. Within enterprise companies, there's a lack of visibility between business units; these unique divisions, however, often have a need for common data. With a ThinkData Catalog, access to data can be granted to anybody within your organization, ensuring that your company isn't wasting time and money finding, connecting to, and preparing the same datasets in each department.
Maintaining data across updates isn't easy when data is distributed throughout an organization. By centralizing external data assets, it becomes possible to distribute fresh, up-to-date data to every individual who needs it, while still being able to work with previous versions that are stable across updates.