Supreme of Data

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Collaborations in data are underappreciated. These are partnerships where two data vendors work together or a data vendor and an analytics provider come together to create a new dataset. Some of the best data products are collaborations.

I think collaborations are similar to what we see in the fashion world when a top designer or brand partners or does a collab with another brand. Think Supreme or Malbon. The Supreme drops (when they release new exclusive offerings) or collaborations are the most hyped announcements in streetwear. Supreme does collaborations with everyone from Nike to Oreo. That’s right, Supreme did an Oreo partnership at one time. Malbon is similar in golf. They release new clothing with partners such as Adidas. I love that these collabs are released in what’s called a ‘drop.’ Everyone gets excited for the next collab and the next drop. I think there is an opportunity for the right analytics provider or the right raw data provider to build hype around their own drops and collabs.

In the data world, we have seen dozens if not hundreds of successful collaborations or partnerships over the years. Some of the most valuable datasets I have bought in my hedge fund life were collaborations.

Yodlee is the king of the consumer transaction partnerships with Earnest being one of their strongest partners. In the early years of my time in quantitative finance, Ravenpack had one of the strongest partnerships with Dow Jones to create news feeds with sentiment and dozens of other analytics & data points. As Stocktwits opens up their firehose they are working on dozens of partnerships with Context Analytics being one of the first out the gates with their sentiment product (Announced today on IDO). The founder of Context Analytics, formerly known as Social Marker Analytics, is Joe Gits who co-founded Quantitative Analytics (QA Direct) which was acquired by Thomson Reuters.

The data partnership or collaboration opportunity is a great way for companies to expand their product offering. I have met dozens of early-stage startups building data products off the backs of large raw data providers. I think there will be a data provider or analytics provider that will emerge in the coming months that really builds the marketing muscle to tease new collabs and drops in the data space. I look forward to watching this unfold.

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