Ever wondered, how may startups or companies did Google acquire so far and how much did it pay for them?
But the main question is, what happened to the acquired companies? Was it all waste of money?
With the recent re-structuring, Google became a subsidiary of Alphabet Inc., which now owns most of the parts.
Using infocaptor kpi dashboard software, we analyze the list of companies, products and services that Google has acquired since 2001.
Google has acquired around 184 companies as of October 2015. Google has spent atleast 28 billion USD on acquisitions.
Read the complete list of top google acquisitions in an interactive dashboard
Average undergraduate tuition and fees and room and board rates
These figures are inflation adjusted and look how just the tuition fees have increased compared to the Dorm and Board rates
Now comparing the rate increase for 2-year program
So for the 2 year program, the board rates have remained at the same level compared to the dorm rates.
Now check out the interesting graph for 4 year program below
Comparing the slope of 2 year Board rates to the 4 year Board rates, the 4 year has significant increase
If price of meals is same for both programs then both 4 year and 2 year programs should have the same slope. So why is the 4 year slope different than 2 year?
Now, let see about the Dorm rates
And finally the 4 year vs 2 year Tuition rates
Here is the data table for the above visualization
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.
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?
2. What is the funding by location and stage?
Another interesting visual by plotting the score against the total funding.
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.