Data Business Moats

Hello, this is Hall T. Martin with the Startup Funding Espresso -- your daily shot of startup funding and investing.

In building a startup, the founder should consider monetizing the data.

Data can provide an additional range of moats for the business.

Here is a list of data moats that are ineffective:

Openly available and easily accessible data sets

General analytics on the data

Dashboards and reporting tools.

Here's a list of the data moats can bring to the company:

Turning your data into a standard data set used by the industry.

This is called data currency, which the industry players use for data exchange.

Extensive use of the data by many companies creates a de facto standard.

Proprietary data.

This data comes from a unique source that no other company has access to.

Exclusive access to data

In this case, the company has developed an exclusive arrangement for the use of data.

Proprietary data exhaust

This is the use of data from another source for a different purpose.

For example, Whole Foods captures consumer product good sales data and then sells access to CPG companies that want to know how much is sold in each category.

Consider these options for building a moat into your startup using data.

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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