Top 100 analytics companies ranked and scored by Mattermark

Let us move on from Grass Eating Sauropods and talk about who’s who in the analytic space.

For every dime there are dozen analytic companies. Everybody who provides a freaking dashboard is an analytic company. Anybody that merely mentions Google, Facebook, Hadoop etc in the same sentence is somehow into BigData. Haven’t you stumbled across company pages where they claim to be expert in analytics and big data but they want you to schedule a call with them. They don’t have any products or solutions to show case yet they are Big Data/analytics folks.

So to make things easy, Mattermark released this highly curated list of 100 analytic companies. No offense to BigData, but small datasets like these are always juicy.

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Mattermakr ranks each company using their own algorithm and calls it “Mattermark Score”. After loading it up, we came up with these visualizations

 

 

 

For each funding stage, it shows the listing of companies by Mattermark score.

Some interesting questions

1. How many companies by funding stage?

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2. What is the funding by location and stage?

 

 

Another interesting visual by plotting the score against the total funding.

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We thought the above visual would tell us what kind of logic did Mattermark used to rank the companies. As suspected, apparently we cannot reverse engineer it without some additional information about the companies.

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Y Combinator companies has more funding than the sum total of all remaining accelerators

After finishing our call with Bed Bugs , we decided to check out what the startup scene looks like. We used the data from seed-db to let our analytical juices flowing.

First we asked what is the top most program (duh!!) but by how much and who are next in the list and so on.

Like most Data scientists who believe in the power of simple bar graphs we used our first “chart weapon” of choice and here it is what it rendered.

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Y Combinator is freaking huge like a dinasaur, infact very much resembles the grass eating Sauropods. In fact we had to create a chart that was 3000 pixels wide just to accommodate all.

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See the resemblance between the chart and the Sauropod?

To get better perspective we rendered it in a Treemap as shown

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Looking at the treemap, Y Combinator occupies more than the sum total of all the remaining accelerators. That is super amazing but the problem our charts were not coming up beautiful. YC is clearly the outlier and was causing us difficulty to understand the remainder startup ecosystem.

We said, lets cut off the head to dig deeper.

The moment we filtered out YC from our analysis, all of the regions became colorful and that was certainly a visual treat.

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Now we could clearly see what are the other accelerators/programs that are roughly the same size.

For example,

TechStars Boulder and AngelPad are roughly the same

TechStars NYC, TechStars Boston and 500Startups are in the same club

Similarly DreamIT, fbFund and Mucker Lab share the same color.

Now let us try to see from the location angle

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So we re-established that YC is freaking huge and having them on a chart with other accelerators does not create beautiful visualizations.

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