Showing posts with label trends. Show all posts
Showing posts with label trends. Show all posts

Saturday, June 14, 2014

Amazing Google Trends and Correlate

Google Trends (www.google.com/trends) is a great tool to explore trends on user interest on virtually anything under the sun. Mining its collection of all search queries from 2004 onwards ( a mind boggling number, assuming 5 billion queries a day  (which is the current rate of search queries), total number of search queries  for over last ten years would be something around 5*3660=18.3 trillion..i.e.. 18,000,000,000,000 search queries!!!!), google trends identifies user interest across time (2004 onwards) and space (for regions, city, etc.).

Until recently, inspite of having this mountain of data at its disposal to look for answers, google trends was still quite dumb at understanding the context of the search terms. In simple terms, when I type in "Amazon", I could be interested in 'n' number of things?... The river amazon, or the company amazon.com, or the amazon rainforest?.. To Google Trends it did not make any difference. For it was just a term with no meaning and hence would aggregate all content that contained the search term irrespective of its relevance. It was left to the user to somehow communicate to the tool the desired context by way of excluding terms that are not related to the context of interest. For example, to look for user interest trends on amazon.com company, I would have typed in something like "amazon.com -rainforest -river" i.e all those search queries that contain the term "amazon.com" but not "rainforest" or "river". a workaround and not a foolproof way.

That was until Google launched the new version of Trends. In the new version of Trends, Google has been able to "teach" Trends to understand what search terms mean. Using its treasure trove of search queries, Google has been able to categorise all of its search query data content into people, places, and things.  This is by no means a small feat and is a shining example of what  can be achieved using "big data" analysis.

So now when I type in "Amazon" in Trends, it understands that it could be a name of a retail company , or name of a rainforest, or name of a river, or a fictional character, or  just a plain term. It throws up all of those options for the user to select one.




















Each identified context for a search term is organised as a topic by Trends. All search queries that relate to a particular context are associated with a topic of the same name. Now when I try to find out the trends for amazon -  the company, I  can simply select the associated topic and be sure that the results reflect pure interest in amazon.com unadulterated by any other context. Google Trends claim to have more than 700,000 topics in its catalogue with more being added every day.

This stuff is really cool. It is amazing how Google can categorise the information about the world by analysing its search query database. What is stopping it from taking it further to develop a full-fledged classification of people, places, and things of everything that exists or ever existed....?.  If google has raised the bar by 10x by giving Trends some intelligence, it has raised the bar by 100x by developing Google Correlate which in tandem with Trends puts awesome power in your hands. Using Google Correlate, you can find out the correlations (and causations, if you are lucky) related to the trends that you see in time and space.

I really enjoy playing with Trends by  just typing in terms that interest me and see the trends across time and space.. For example, I was interested in finding the trends of stress levels across time (2004 onwards) and compare the same for different countries. So I typed in two terms stress and anxiety which I thought are good proxies for general stress as we understand it and then added two locations - United States and UK to bring up the following graph.





















Interesting to note the downward trend till around 2008 and an upward trend from thereon..hmm.. maybe the impact of 2008 financial crisis has something to do with it.... UK seems to be on a higher trajectory path than the United States..

Breakup by regions where relative popularity of search queries is the highest


















The possibilities are endless. You can estimate relative market share of say.., cell phone makers by using the search queries as a proxy and drill it down by region, city.. and time (last 30,60,90,... days). Or look at patterns of diseases in space and time...So take it out for a spin and you might find a gold nugget in there that can send you off in a new direction in your work, or life.



Tuesday, October 18, 2011

Term "CLOUD"

Recent Microsoft advertisement http://www.youtube.com/watch?v=tdqoQ0zL7GQ&feature=related on Cloud computing seems to be an attempt to popularise the term "Cloud" with consumers. It is interesting to note that where terms such as "Software-as-a-Service", "Service Oriented architecure", etc. failed in the past to catch on, "cloud" stands a good chance of catching on because it is a simple word that is not abstract, is not tech heavy and can be related to real world cloud in a way that makes it intuitive to understand what it is all about.

Google trends http://www.google.com/trends is a great tool to track popularity of terms over a period of time across geographies, regions, etc. It is a fun tool to use to track trends or catch them early. Typing the term "cloud" in google trends brings up following chart...



Average worldwide search volume from 2004 to present is scaled down and mapped to 1.0on y-axis of this chart. What this chart then shows is how search traffic changes from the average over a period of time. Till about end of 2007, average search volume for the term "Cloud" did not vary much from the long-term average and it is safe to assume that till this point in time, people interest was in real clouds. There is a marked increase in the term cloud in 2008 that accelerates during 2009 and really takes off in 2010. Unless people suddenly became interested in real clouds all over the world, this steep increase can only be attributed to new interest in the tech representation of the term "cloud". Though spike B in the chart is due to the interest in volcanic ash cloud over iceland.

Searching for term "Cloud Computing" brings up a similar picture.



Interesting to note is the comparison between the terms "Saas" and "Cloud Computing". Though average search volume for "Saas" is higher, which is expected since the term came into being much earlier, the trend clearly shows growing popularity of Cloud as compared to stagnant or waning popularity of "Saas" term.



Here's another chart showing relative popularity of "SaaS" and "SOA" terms. Declining trend of popularity for these terms is clearly visible in the chart.



I find Google trends not only fun to use but also very useful in getting a feel of what's on the mind of people . Are people worried about the economy?. Is Inflation or deflation a bigger concern?. Using google trends one can find answers to such questions. One can get insights into businesses by looking at search volume trends. Searching for "Amazon" brings up the chart below. One can get so many insights into amazon business using this chart. The long term upward trend that probably matches Amazon stock price. The spikes come in regularly every year during the christmas season. 2007 spike was an exceptional one, maybe that has to do with the economic conditions prevailing at that time....