Showing posts with label migration. Show all posts
Showing posts with label migration. Show all posts

Tuesday, October 14, 2014

Musing on Big Data example. Not an easy recipe to follow

If a picture is worth a thousand words, as the beaten adage goes, the use of big data, creative analytics and graphics is certainly worth much more. Here is a great example of using Big Bata to explain migration from The Economist.

As with most pictures, what is depicted here is only a small slice of the big frame, the angle the author/analyst wanted to highlight. 
I like this picture for the story that it is trying to tell different audiences in a visually appealing way. A picture like this is sure to resonate with policy makers, corporate executives and even hiring managers and recruiters. If not anything else, it raises questions and follow-up actions from the information depicted.
 
The recipe for big data analytics might look like this:
  • Define your analysis goals and audience upfront
  • Take a lot of data from different sources
  • Filter the data and replicate, but remove redundancies
  • Add relevant metadata, tags etc
  • Use relevant indexing to navigate the data environment
  • Run a lot of filters and queries on it
  • Present actionable information
  • Turn the information into insights
As is obvious, the recipe or its variances for data analytics are not easy to follow. For one, there is a challenge of defining a problem statement. And then there is the science of gathering data, developing the engine to run the analytics. Then comes the art of visualization while presenting the information.

As one might argue, there is a secret sauce missing in the recipe above!

Friday, May 31, 2013

Big data to visualize migration

Looking at my linkedin updates from my contacts, I came across this fascinating example of using Big-data posted by a former colleague, Jai Ganesh, on his blog. The blog on “Networks of Global Migration” makes for an interesting read, and is topical: The debate over immigration in the US is reaching a crescendo!

 
A few insights from the blog worth mulling over
  • According to the International Organization for Migration there are about 214 million international migrants across the world (about 3% of the global population), which is a significant increase over the year 2000 number of 150 million.
  • According to IOM, countries with a high percentage of migrants include Qatar (87%), United Arab Emirates (70%), Jordan (46%), Singapore (41%) and Saudi Arabia (28%) and countries with a low percentage of migrants include South Africa (3.7%), Slovakia (2.4%), Turkey (1.9%), Japan (1.7%), Nigeria (0.7%), Romania (0.6%), India (0.4%) and Indonesia (0.1%).
  • Global fund remittances by migrants were $529 billion in 2012. Remittances sent by migrants to developing countries were estimated at $401 billion in 2012. According to the World Bank, the top recipients of officially recorded remittances in 2012 were India ($69 billion), China ($60 billion), the Philippines ($24 billion), and Mexico ($23 billion). Other large recipients are Nigeria, Egypt, Pakistan, Bangladesh, Vietnam and Lebanon.
 
Female Migration Inflow clusters

Female Migration Inflow clusters.jpg
Male Migration Inflow clusters

Male Migration Inflow Clusters.jpg
Bottomline: If picture is worth a thousand words, use of Big-data to tell the story of migration can substitute for reams of reports or powerpoints!