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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Bed bugs in Boston – Analysis of Boston 311 public dataset

Digging into the Boston public Dataset can reveal interesting and juicy facts.

Even though there is nothing juicy about Bed bugs but the data about Boston open cases for Bed bugs is quite interesting and worth looking at.

We uploaded the entire 50 mb data dump which is around 500K rows into the Data Visualizer and filtered the category for Bed Bugs. Splitting the date into its date hierarchy components we then plotted the month on the Y axis.

It seems that the City of Boston started collecting this data around 2011 and has only partial data for that year.

Interestingly, the number of Bed bug cases seem to rise during the summer months.

Now if we break the lines into Quarters (we just add the quarter hierarchy to the mix)

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Color Analysis of Flags – Patterns and symbols – Visualizations and Dashboards

Categories: Other

Recently, here at InfoCaptor we started a small research on the subject of flags. We wanted to answer certain questions like what are the most frequently used colors across all country flags, what are the different patterns etc.

Read more Color and Pattern analysis on Flags of Countries – Simple visualization but interesting data

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Data Visualization and Self Service Big Data Analytics

The innovation engine in the field of Business Intelligence and Data visualization tools , is certainly cranked up. Qlikview, Tableau and Tibco Spotfire introduced new category of Data Visualization term in the field of Business Intelligence.

Now every vendor offers some form of Data Discovery. Oracle is also working on something similar adding to their confusing mix of OBIEE stack.

With the launch of new InfoCaptor, you can perform ad-hoc data visualizations and build dashboards all within the browser. Now that is refreshing. The browser is the key here. Once you deploy on the server, users can simply login, upload their datasets or point to existing database connection. Before you know users are already slicing and dicing their datasets and swimming in the world of beautiful visualizations. Yes, the visualizations are absolutely stunning and why shouldn’t they be. It is based on the excellent d3js.org library.

The key here is that the browser is your canvas and it is pretty huge, for e.g the detfault size for the visuals takes up my entire browser screen real estate. I like big visuals and if I am producing a Trellis chart then I can simply drag the corners and resize it. The visualization library is very comprehensive and offers around 30 visuals. It provides the bullet graph as well for KPI tracking.

Here are some screenshots from the website

d3 visualizations

 

InfoCaptor is also available on the cloud as a service and based on that there are few live analysis to try out without login or installing anything.

I would say with this release small business owners have truly found their Tableau or Qlikview alternative.

Go check out the new InfoCaptor Data Visualizer

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What will America pay for H1-B Jobs

Categories: Other

The H1b program will pay a sum of $60,374,682,695 that is roughly $60 Billion US dollars over a period of next three years. A total of 300,000 candidates were approved for h1-b visa. Around 8000 applications were rejected, around 9000 applications were withdrawn and around 26000 applications were approved but later withdrawn.

Read more H1B- Visa analysis

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Which CEO makes the top Dollars?

Larry Ellison and Warren Buffet owns the highest number of shares but check out who makes the top 1 year salary and 5 year salary. Checkout this CEO Dashboard

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Review and evaluation of Dashboard vendor’s front page

Categories: BI News

Dashboardzone just finished reviewing the front page of BI and Dashboard vendors.

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Checkout the different use of the bubble word cloud service

 

vendor words first second third
SAP 270 sap software business
IBM Cognos 169 cognos business software
Dundas 149 dundas dashboard dashboards
Infocaptor 184 dashboard infocaptor easy
Information Builders 272 management data business
Microstrategy 132 free microstrategy software
Logixml 137 analytics logi product
Oracle 243 oracle business learn
Tableau 139 data analytics easy
Pentaho 127 data pentaho analytics
Qlikview 139 qlikview contact support
SAS 197 sas analytics business
Sisense 185 data sisense prism
VisualMining 160 performance business software
Chartio 41 data chartio product
Gooddata 144 gooddata bash data
Jaspersoft 243 jaspersoft analytics 2013
Tibco Spotfire 178 spotfire tibco data
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World time clock on your dashboard

Categories: Other

Have you ever wandered into an office and saw a series of clocks hung on the wall. Each clock showing time for a different city named at the bottom of the clock?

Well, now you can have the same setup on your own dashboard.

InfoCaptor Dashboard Software now integrates with the powerful d3js library for some cool visualizations.

With the help of d3js, you can now put any number of analog clocks on your BI Dashboard

Check this Tutorial on How to add analog clocks on dashboard

analog clock javascript

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