Big Data Analytics @ Lord Athi Varadar Darshan in Kanchipuram

Links to earlier posts

01) https://innovationinbanking.blogspot.com/2019/07/7-lame-excuses-and-7-improvements.html

02) https://innovationinbanking.blogspot.com/2019/07/lord-athi-varadar-arises-after-40-years.html

Today i.e 28^th July 2019 is the 28^th day of Lord Athi Varadar presence on dry land.

Today being Ekadashi, there were still a larger number of devotees as compared to other days.

Another challenge on Ekadashi, is that devotees fast partially.

This means devotees partaking Ekadashi fasting need special food to keep up their energy levels.

In Hinduism and Jainism, Ekādaśī is considered a spiritual day and is usually observed by partial fast. Beans and grains are not consumed by observant people during because they are believed to be contaminated by sin.

Instead, only fruit, vegetables, and milk products are eaten. This period of abstinence starts from sunrise on the day of Ekādaśī to sunset on the following day.

The timing of each Ekādaśī is according to the position of the moon.    

     

The local administration had some arrangements to distribute water and food packets to devotees waiting in the slow-moving long queues for Lord Athi Varadar darshan

The local administration is using the data generated at various touch points to serve the devotees better.

Data Collection Point 01) Devotees arriving through trains at nearby railway stations.

Data Collection Point 02) Devotees arriving through buses at Kanchipuram and nearby towns

Data Collection Point 03) Visitors to the various medical camps setup at Kanchipuram

Data Collection Point 04) Hits to the online booking site

Data Collection Point 05) Ground visits by top District and State Administrators

Data Collection Point 06) Media coverage

Data Collection Point 07) Social Media posts

Big Data Analytics Usage 01) Deployment of medical personnel.

In an official press statement issued by the State Health Ministry, it stated, “From 14 July, 20 mobile medical teams, four 108 ambulances and 10 emergency two-wheelers have been deployed in and around the pathways leading to the temple.”

The release further said that the service has been happening from 1 July and the camps have been working round-the-clock with three doctors, nurses and pharmacist on the ground.

A trauma ward has also been set up at the Kanchipuram District Hospital.

Big Data Analytics Usage 02) Deployment of security personnel. Two IGs, two DIGs, 14 SPs, 18 Additional SPs, 57 DSPs and 177 Inspectors had been deployed for security.

In total, 5,500 police personnel were at the spot to regulate the crowd.

Further, seven fire tenders and 250 firemen were also available round the clock.

Big Data Analytics Usage 03) Arranging food and water to devotees.

Big Data Analytics Usage 04) Arriving at decision for quantum  of daily special darshan tickets

Big Data Analytics Usage 05) Requesting VIP and VVIPS to schedule their darshan during the lean period

Big Data Analytics Usage 06) Deployment of additional buses within Kanchipuram to ferry devotees.  The district administration has made available a number of buses to ferry devotee within Kanchipuram at a flat rate of INR10/- The fixation of the flat rate has reduced heated discussions between bus conductor and devotees regarding problems of monetary change, problems of overcharging, problems of short charging, etc

Big Data Analytics Usage 07) Deployment of additional Sanitary Workers. The Chief Minister two more battery-driven cars and 500 additional wheel-chairs for elderly pilgrims have been added to the facilities now, even as 615 additional sanitary workers have been appointed.