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Role of Big Data in Disaster Management


Big data solutions are designed to store and analyze quantities of structured and unstructured data which aidinthe process of efficient decision-making. With its capability to handle large volumes of data, the big data technology can help enterprises in the formulation of better strategies and improvingplanning processes. This has widened the canvas for its potential usage as benefits of big data storage and analysis are not just limited to enterprises and business operations any more. 

Case studies have revealed the significant role played by strategically implemented big data services in improving the efficiency and effectiveness of disaster management organizations during emergencies.  With big data and its ease of accessibility, disasters can be measured accurately and precisely with real-time information. 

Some of the major benefits offered by big data technology in disaster management include: 

1. Crisis Mapping

Crisis mapping technologically emerged as an important tool that helped humanitarian organizations in providing assistance to victims in cases of emergencies and natural disasters. The platform displays reports based on big data, submitted via various communication channels by the eyewitnesses. These reports are then plotted on interactive maps which create a geospatial record of events in real-time.

In order for crisis mapping to be effective, personals in disaster zones need to help in big data collection by providing reliable information, so that humanitarian organizations can take necessary actions. Since disasters can separate families, information based on this data can help emergency responders to rescue them.

2. Social Media Mining

Many non-profit emergency organizations have identified the use of big data in filling upthe gaps in information which are crucial for an efficient response. When natural disasters hit, the community can be provided with important information of road openings, gas stations and trapped victims via social media. Using satellite information and big data collectively provides better understanding of affected area with varied perspectives. 

3. Disaster Simulation

Disaster management organizations often conduct drills and practice sessions to prepare for the time of real emergencies. They often fail to train for certain situations as theyface difficulties with insufficient available data related to a disaster. But with incorporation of big data technology, these organizations can reproduce actual conditions and prepare the disaster simulations for precise implementations in the needy hours.

4. Data Collection Benefits

Big data efficiently stores and collects large volumes of data during the time of disasters and processes it to provide vital information and reports. This information can further be used for various utilities including:
  •  Efficient allocation of necessary resources in needy areas

  •  Connecting missing people with family

  •  Direct and indirect impacts of disaster

  •  Identification of vulnerability 


5. Planning Process

Data scientists can extract information from data sets provided by mobile operators which helps them to identify reactions of past disaster victims. With the respective information they can ideate the moving patterns and responses of the people and plan in accordance with it. Big data also helps in recognizing the demographic conditions of an area. It provides information about the old and infants residing, which helps the humanitarian organizations to evacuate them before the area is hit by a disaster.

With multi-utilities, leveraging big data services offered by the leading big data service providers in India having globally recognized certified consultants is becoming a necessity as they can be of great help in preparation and aid during the time of crisis. Since time is the ultimate deciding factor during disasters, big data reports help by providing accurate and reliable information which aid in quick decision-making. 
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