Do you have to make acquisitions?

In partnership with

The Initial Data Offering (IDO) community is a place for data enthusiasts to discover new datasets daily.

The mission is to build a community of data enthusiasts and curate high-quality, unique datasets for businesses, researchers, and organizations worldwide.

In the data & information services space, it seems like the key to success is acquisitions. You have to find your wedge, your revenue, your product market fit, but once you find it, you have to start acquiring aka Rolling up. If you are in a position of strength, you need to use it. That is if you want to build a big business.

This is my opinion, but I have seen very few if any companies get to scale with the potential for billion-dollar exits or IPOs without acquiring. Tegus acquired Canalyst and BamSec and they are well on their way to building a big business.

Alphasense acquired Sentieo and Mosaic. IHS acquired a ton of companies before they were acquired by Markit which was then acquired by S&P Global. There are other companies like Exchange Data International that has been the data vendor for data vendors for many years, based out of the UK, and have quietly been acquiring small data and information services companies.

Even in the crypto data space, we have seen the strong team at Amberdata making acquisitions, such as Genesis Volatility.

Pitchbook, which arguably leads in private market data was acquired by Morningstar. Granted the public companies can acquire easily, but this is just a good example of them taking advantage of their strength and seeing opportunity.

PE has looked at and dabbled in the data world, but we are still early. We saw MackeyRMS acquired by PE, which then bought Insider Score before rebranding to Verity. The RMS (Research Management Systems) opportunity and value I think is pretty interesting in this AI focused world. They arguably have the best access to integrating AI and making it available to hedge funds and the buy side. They are already trusted with the most secretive of information- models, notes, research, etc. What better way to train AI and integrate than building on top of an RMS

Overall acquisitions in my mind are how you get scale velocity in the Data & Information Services space. Growing organically, having a core product, and the right team are all necessary, but without having that acquisition muscle, I find it hard to believe that many companies can make it to the public markets or the unicorn status.

If we are going to see a Factset, S&P, Verisk, Morningstar-type competitor in the public markets in the next 10 years, then we are going to need to see a team that can execute on acquiring a lot of these smaller data and product companies. There are endless opportunities to do this right now and I look forward to seeing this play out in the coming years.

Whiskey Investing: Consistent Returns with Vinovest

It’s no secret that investors love strong returns.

That’s why 250,000 people use Vinovest to invest in fine whiskey.

Whiskey has consistently matured and delivered noteworthy exits. With the most recent exit at 30.7%, Vinovest’s track record supports whiskey’s value growth across categories such as Bourbon, Scotch, and Irish whiskey.

With Vinovest’s strategic approach to sourcing and market analysis, you get access to optimal acquisition costs and profitable exits.

Reply

or to participate.