Gartner Blog Network


Who is Buying Which Data Companies?

by Andrew White  |  May 22, 2018  |  Comments Off on Who is Buying Which Data Companies?

An article in today’s US print edition of the Financial Times reports that IHS Markit is to acquire Ipreo.  Ipreo sells data and indices for hard-to-value assets and accounts.  Apparently Ipreo was last acquired by its current owner from private equity group KKR, 4 years ago, for about $975m.  The deal is reported in the article at about $1.86bn.

I used to follow IHS Markit some year’s ago when I focused on buy-side business processes and their use of 3rd party data for, for example, commodity classification.  But I have not covered the vendor or that space for over 6 years.  But the move does look like yet another industry move that reinforces the desire of some organizations to own access to data that otherwise drives how everyone else works.  Conventional wisdom today tells us that AI/ML and algorithms are a lending source of differentiation.  Smart algorithms will find patterns in complex data and also help automate work.  But already see in some parts of the economy stories of algorithm versus algorithm.  I just blogged in this recently; see Outsmarting AI.

But if you look beyond the algorithm and you understand how they work, you would conclude that owning data will likely be more competitive than owning the algorithm.  Hence the article today seems to reinforce that.  Perhaps IHS Markit sees the same long term opportunity.  Which vendors do you follow that exhibit the same insight.

 

 

Category: aiml  artificial-intelligence  data-ownership  data-as-a-service  

Andrew White
Research VP
8 years at Gartner
22 years IT industry

Andrew White is a research vice president and agenda manager for MDM and Analytics at Gartner. His main research focus is master data management (MDM) and the drill-down topic of creating the "single view of the product" using MDM of product data. He was co-chair… Read Full Bio




Comments are closed

Comments or opinions expressed on this blog are those of the individual contributors only, and do not necessarily represent the views of Gartner, Inc. or its management. Readers may copy and redistribute blog postings on other blogs, or otherwise for private, non-commercial or journalistic purposes, with attribution to Gartner. This content may not be used for any other purposes in any other formats or media. The content on this blog is provided on an "as-is" basis. Gartner shall not be liable for any damages whatsoever arising out of the content or use of this blog.