How many startups did Google purchase and what did it do with them?

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

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Bigfoot vs UFO analytics

Bigfoot and UFO remain elusive but know their ways to make news from time to time.

Read more at: http://www.infocaptor.com/dashboard/bigfoot-vs-ufo-analytics

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What is the most dangerous food at Olive Garden?

Olive Garden is one of the favorite destination for Italian food and today we got hold of the entire Olive Garden menu along with their nutrition data.

A typical meal at Olive Garden starts with a drink, appetizers [free bread sticks], main dish and finally the desert.

So going in the same sequence let see what the data menu for Wine and Beer has to offer.

Amount of Carbs per serving in your favorite Wine at Olive Garden

Read more at: http://www.infocaptor.com/dashboard/what-is-the-most-dangerous-food-at-olive-garden

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List of acquisitions by Microsoft a data journey

If we look into the SEC data for Microsoft and other tech companies, Microsoft spends the most in Research and Development from [by dollar]

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Read more at: http://www.infocaptor.com/dashboard/list-of-acquisitions-by-microsoft-a-data-journey

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Popularity of Tea, Coffee, Beer and Wine Visualization

If number of searches were an indicator for gauging the popularity of a drink between Tea, Coffee, Beer and Wine then who wins the contest?

Which drink is gaining popularity and which is losing?

Read more at: http://www.infocaptor.com/dashboard/popularity-of-tea-coffee-beer-and-wine-visualization

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Cloudera certifies InfoCaptor for Big Data analytics on Hadoop

Cloudera welcomes InfoCaptor as a certified partner for data analytics and visualization. InfoCaptor delivers self-service BI and analytics to data analysts and business users in enterprise organizations, enabling more users to mine and search for data that uncovers valuable business insights and maximizes value from an enterprise data hub


Rudrasoft, the software company that specializes in data analytics dashboard solutions, announced today that it has released an updated version of its popular InfoCaptor software, which includes integration with Cloudera Enterprise. The integration takes advantage of Impala and Apache Hive for analytics.


"Our clients are increasingly looking to adopt Hadoop for their data storage and analytics requirements and their common concern is the lack of an economical web-based platform that works with their traditional data warehouses, RDBMS and with Cloudera Enterprise,"

Cloudera-certified InfoCaptor, adds native Impala functionality within Visualizer so users can leverage Date/time functions for date hierarchy visualizations, time series plots and leverage all the advanced hierarchical visualization natively on Cloudera Enterprise.


"Impala is the fastest SQL engine on Hadoop and InfoCaptor can render millions of data points into beautiful visualizations in just a blink of an eye," said Nilesh Jethwa [founder]. "This is a great promise for the big data world and affordable analytics with sub-second response time, finally CEOs and CIOs across industries can truly dream of cultivating a data driven culture and make it a reality."


"Cloudera welcomes InfoCaptor as a certified partner for data analytics and visualization. InfoCaptor delivers self-service BI and analytics to data analysts and business users in enterprise organizations, enabling more users to mine and search for data that uncovers valuable business insights and maximizes value from an enterprise data hub," said Tim Stevens, vice president of Business and Corporate Development at Cloudera.


InfoCaptor is an Enterprise Business Analytics and Dashboard software meant for:

  • Data Discovery
  • Visualizations
  • Adhoc Reports
  • Dashboards


InfoCaptor brings the power of d3js.org visualizations and the simplicity of Microsoft Excel and puts it in the hands of a non-technical user. This same user can build Circle Pack, Chord, Cluster and Treemap/Sunburst visualizations on top of Cloudera Enterprise using simple drag and drop operations.
InfoCaptor can connect with data from virtually any source in the world, including SQL database from Microsoft Excel, Microsoft Access, Oracle, SQL Server, MySQL, Sqlite, PostgreSQL, IBM DB2 and now Impala and Hive. It supports both JDBC and ODBC protocols.


InfoCaptor also serves as a powerful visualization software and it includes over 30 vector-based map Visualizations, close to 40 types of chart visualizations, over 100 flowchart icons and other HTML widgets. InfoCaptor also provides a free style dashboard editor that allows quick dashboard mockups and prototyping. With this ability users can place widgets directly anywhere on the page and use flowchart style icons and connectors for annotation and storytelling.


Users can download the application and install it within their firewall.
Alternatively, a cloud offering is also available at https://my.infocaptor.com or Download dashboard software

 

InfoCaptor is a very modestly priced Analytics and Visualization software
" Personal Dashboard License can be purchased for $149/year
" Server license starts at $599/year
" Cloud based subscription starts at $29/user/month


Visit http://www.infocaptor.com or email bigdata(at)infocaptor(dot)com for Demo and Price list

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VC Investment Data visualization and analytics

Using the data from pwcmoneytree.com and easy to use dashboard software we perform analytics on a huge dataset that spans 20 years of Venture capital investment data from 1995 onward. Having data that goes far into the history should give us enough to extract the necessary analytical juice out of it.

 

VC investment by industry

Change in investment pattern between 2000 and 2014

The year 2000 was definitely the peak for VC investment craziness. A whopping 105 Billions was pumped into startups and bringing them quickly for IPO. Ever since after the crash of 2000... Continue reading the original article

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Who made Profits for the Government on the Bailout money?

Lot of the entities have already paid the amount back to the government with interest and the government has made profits! Government has also lost money on lot of other organizations/companies that failed to repay back.

Government Bailout money visualization

Profit loss on bailout money

Checkout the full Visualization on the profit/loss analysis of Government Bailout money

And Here is the big list of all companies/organizations that made profit/loss and the percentage

government money bailout profit loss companies

Click on the image to see the full list

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Trends in Big Data, Hadoop, Business Intelligence, Analytics and Dashboards

How has the interest in Big Data, Hadoop, Business Intelligence, Analytics and Dashboards changed over the years?

One easy way to gauge the interest is to measure how much news is generated for the related term and Google Trends allows you do that very easily.

After plugging all of the above terms in Google trends and further analysis leads to the following visualizations.

Aggregating the results by year

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It is very amazing to see that the stream representing Dashboards has remained constant through out the years.

So does the stream for Analytics and Business Intelligence in general exihibit similar trend.

Analytics is kind of widening its mouth as we move forward and that is being helped by the combination of terms such as Hadoop + Big Data + Analytics being used almost together.

Now check the line chart below

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Looks like the Trend for Dashboards define the lower bound and the trend for Business Intelligence define the upper bound. The trend for Hadoop started around first Quarter of 2007. The trend for Big Data started around third Quarter of 2008 and ever since they both are rapidly increasing. It remains to see whether they will cross "Business Intelligence" in terms of popularity of kind of merge and find a stable position somewhere in the middle.

Before Big Data and Hadoop came into picture the term "Analytics" exhibited a stable ground closer to dashboards but now the trend for Analytics seems to be following Big Data and Hadoop.

Let us take a deeper look into each week since 2004

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Look at the downward spikes occuring around Christmas time. Nobody wants to hear about Big Data or Dashboards during holidays.

And finally, here is a quarterly cyclical view

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Click here to view the full interactive Visualizations

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