Skip to main content

Google - Geoeye Insurance Solution Set

    Google will now soon be entering the market of risk management and crisis event response. With the extent of satellite imagery and the extent of geospatial expertise available with Google, this was an obvious thing coming. People, especially from the insurance industry, have long being pondering on the fact, that why Google had not moved into the the Catastrophic Risk Management avenue before. But now, the wait is over and Google is soon stepping into the Risk management domain that may bring a stir in the market dominated by companies like RMS and AIR.

    Google is teaming with GeoEye to help insurance organizations across the globe, more effectively address risk management and crisis event response.  Google’s mapping solutions, combined with GeoEye’s Earth imagery and geospatial expertise, provide a platform for enabling strategic decision making, optimization of people and assets, and powerful location-based applications across the enterprise. Insurers know that having an accurate understanding of an asset’s location and associated risks (natural disaster potential, crime, lack of fire stations, high replacement costs, etc.) is critical to evaluating risk in the underwriting process.

    Having such kind of accurate location based understanding of the risks associated with the insured locations becomes all the more important in the aftermath of a crisis event when claims get filed. It helps to have an accurate view of the affected areas over time and geography.

    Google and GeoEye have developed the solution set to address these scenarios. Google had GeoEye, together hosted a webinar just recently, where Google’s Hillary Renderman and GeoEye’s Andre Kearns described several use cases, and were joined by Google’s Chris Sierra and GeoEye’s Alistair Miller, who gave a demo of the solution set.

    The slides of the presentation are as follows:



    Some of the key points from the webinar included:
  • About Google Enterprise that takes Google's most popular and innovative consumer web services and makes them ready for Businesses, Governments and Educational Institutions; aligning the way people work with the way they live.
  • Geographic information is mission critical - yet most of it remains silo ed or unused." Although more than 80% of organization data has a location dimension ... this information is rarely exploited."
  • Trends in Insurance:
    1. More efficient asset liability management models and analysis to help improve risk management
    2. Regulations on governance risk transparency and compliance
    3. Expected compliance on regulatory reporting
    4. Using Big Data to help estimate claims, credit, and market data
    5. Increase in ability to provide access by mobile and and voice for product and service delivery
    6. Analytics to help with customer insight and more efficient business processes.
  • Why Google Maps & Earth for Insurance:
    1. Better planning
    2. Optimise People, underwriting and Assets & Facilities claims
    3. Insight into policies
    4. Incident Management
    5. Regulatory Compliance better targeting for sales Disaster Deployment and marketing.
    Will this move from Google cause a stir in the issuance market? Will this change the face of the Risk Management Industry? Will catastrophic risk management and underwriting change for better? Would this solution set prove to be a threat to the risk management players in the industry? There are so many questions to answer, but will all of this lead to a better and a safer tomorrow?

Recommended for You

Where does Google get it's live traffic data from?

Referring to a post that I wrote earlier, Google’s - Live traffic Layer, ever wondered how Google collected this data? I was wondering the other day, how Google received live data to display it on their maps as a layer! I looked up the web and found something very interesting and am sharing the same with you all.As we all know, the traffic layer is available most accurately in several states in USA. Most major metro areas in the US have sensors embedded in their highways. These sensors track real time traffic data. Easy to miss at high speeds (hopefully anyway, traffic permitting), more commonly noticed may be the similar sensors that often exist at many busy intersections that help the traffic lights most efficiently let the most amount of people through. The information from these tracking sensors is reported back to the Department of Transportation (DOT). The DOT uses this data to update some of the digital signs that report traffic conditions in many metro areas. They also…

jQuery Mobile's Next Big Step

Spatial Unlimited changes to The UI Dev


After being hosted on blogger 😣 for the last 6 years 📆, this page has finally been moved to Github.io
This means a few things for you, dear reader!

You will be redirected to the new page shortly! ⏩ ⏩ ⏩


Once crapy HTML is now better looking Markdown! 😍 😍


The entire blog is a Github repo! 😍 😍


Spatial Unlimited is now The UI Dev 😍 😍


ES6 101 - Class

Spatial Unlimited changes to The UI Dev


After being hosted on blogger 😣 for the last 6 years 📆, this page has finally been moved to Github.io
This means a few things for you, dear reader!

You will be redirected to the new page shortly! ⏩ ⏩ ⏩


Once crapy HTML is now better looking Markdown! 😍 😍


The entire blog is a Github repo! 😍 😍


Spatial Unlimited is now The UI Dev 😍 😍


Two maps on the same page - Side-by-side

How good I am feeling to post a code example after such a long time! It's been all "news" over the past so many posts! Well now that I am finally doing a code example, I am posting a very highly requested code sample. Placing two Google Maps on the same page (Now that's simple you would say!), but side by side. Now this is the thing that most people struggle with. Well, implementing the second part is also very simple, as you will see in today's code.

    Let's see the code. Here it is!



    The output of the above code will be as seen in the result section above.

    As most of you will realize, there are two maps, one centered at "Pune" and other at "Noida". Why I chose these two locations? Well, just like that!...The main issue of concern is how the maps appeared side-by-side and not one below the other as would be normal behavior of two "div" elements used in the same page. Now here is the trick! Check out the the first

Geodesic Polyline

Today we will have a look at a very interesting polyline example - "The geodesic polyline". Now the first question that will pop is "What is geodesic?". Mathematically, geodesic means the shortest line between two points on a mathematically defined surface, as a straight line on a plain or an arc of a great circle or sphere.

    The next question after reading the above definition is clearly, "Why do we need geodesic polylines?" and that would be followed up with "What is this Great Circle?". We will discuss this first, before we move on to the actual example today. The example is very very similar to the normal polyline example, with just a small change.

    Having said so, I will now try to explain why we need a geodesic polyline? The shortest distance between two locations on the earth is rarely a straight line as the earth is roughly spherical in nature. So any two points on the earth, even if they are very close lie on a curve and not …