Data as a Service Business Model
Hello, this is Hall T. Martin with the Startup Funding Espresso -- your daily shot of startup funding and investing.
Data as a service provides data both internally and externally to improve the functioning of the business.
Here are some key points to consider in setting up a data as a service function for your company:
Look for gaps in your data and find new data to fill the critical holes.
Consider setting up external data storage as the volume of data can overwhelm your internal servers.
After building data for an internal application, consider monetizing it by selling it to external entities.
Focus business applications on increasing revenue.
Look for ways to predict future outcomes not past results.
Look for existing revenue streams to see how to enhance the revenue.
Consider the regulatory issues around personalized data.
Mind the optics of public perception on collecting and using data.
Data as a service applications maintain Saas-like valuations and margins so it’s highly profitable.
Everything is moving online and will be digitized.
Look for that which has not yet moved online to focus your search for a new business application.
Thank you for joining us for the Startup Funding Espresso where we help startups and investors connect for funding.
Let’s go startup something today.
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