The Attributes of a Successful Data-as-a-Service Company

Data is the new oil? The new electricity? Or just a variation on an old theme? Read Alex Rosen’s TechCrunch article on The Attributes that Define the Increasingly Critical Data-As-A Service Industry. Data is valuable but if it “don’t make dollars it don’t make sense.”

Here’s an excerpt via TechCrunch:

The market for data is increasing in size at a rapid rate, mostly due to new methods of measurement (like mobile phones, IoT sensors and satellite imagery) that generate new forms of information, as well as new, prevalent use cases like AI, which rely on huge quantities of high-quality data to work (emphasis on the high-quality).

These changes have led to unprecedented demand for data outside of traditionally data-hungry markets, like finance, marketing and real estate. They have also led to an iteration of data company that’s being classified as Data-as-a-Service (DaaS) — companies like Datanyze (acquired by ZoomInfo), Safegraph, Clearbit, PredictHQ and DataFox. DaaS stresses higher velocity, higher-quality, near real-time data that can support more rigorous needs, such as training machine learning algorithms. Non-financial corporations are more than happy to ingest external data that will help them streamline their operations, supply chain and marketing.