Geo-Enabled Data With Rugged Handhelds For India


What is meant by the IP 67 or IP 68? Geo-Enabled Data With Rugged Handhelds For India

Data is overwhelming. Information is not. Insights are still lesser.

A huge amount of data is collected, spread, shared, and published every moment. Most of the time this data is collected, collated and viewed in formats, and with the attributes, which render them almost useless.

Consider for example, you would like to gather survey data on a market in mind. You would like to understand how much your product is being sold in a particular city.

You send people with pen and paper, they collect the data into a spreadsheet, you analyse, slice and dice that data and come to some conclusions. You devise your sales and marketing strategy accordingly. In ninety percent of the cases the decision you make is based on the different form of the averages, be it mean, median, or mode or some other statistical operation.

What you miss here is the micro perspective. As you are averaging five kinara shops with the leading grocer in the locality. Possibilities are pretty high that one of the kinara shop sells as much of your product as the leading grocer, and you don’t know why. You don’t have the geospatical granularity in the data presented to you when you or any other human being actually ‘think’ geospatially.

It was because that kinara shop has the best location, and your data never elucidated this fact to you. Mere spreadsheets and databases don’t do that.

To get an insight means, to understant this why.

Once you send the same set of people on survey and get the GPS location coordinates for the data they are collecting, what you get a geospatial decision support system in front of you. When the insight form a survey itself is geospatial in nature, the scientific way to view is geospatially.

Now you know why that kinara shop sells more than the larger grocer. You have the geospatical granularity in your data. You have identified similar mom-and-pop shops throughout the city, and now you can devise your sales and marketing strategy correctly. You have the insight.

That is the strength of geo-referencing your data. To do this you simply need to send the survey people with GPS enabled rugged PDAs in hand. They take the location coordinates, enter the data in the same PDA. They don’t have to carry multiple gadgets, or error-prone pen paper.

You have your GIS based decision support system in front of you the very next day. Now you can pinpoint exactly where you would need to work, and why!

Surveys can be of multiple nature, be it for utility, agriculture, fisheries, forestry, industry, mining, or the market survey I just gave example of. GPS enabled Rugged handhelds are the best bet for you to capture this data, and geospatial decision support system are your best tool to take insightful decisions.

If you are still not sure why rugged, please do read my earlier post on rugged computing for rugged India.

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