Digging It Deep With Data Science | @swachhcoin

Over the years, Big Data has been utilized in various industries like healthcare, banking, and education. The success of Big Data in these industries has led to the exploration of ways of introducing the technology in the waste management industry. However, before we shed more light on the role Big Data can play in the waste and recycling industry, let us take a look at the concept behind Big Data.
 1. Volume:
this is the amount of data collected by an entity. Historical data
collected by the company determine the amount of information that can be
extracted and analyzed for business decisions.
2. Velocity:
this refers to the speed at which data are collected which will also
determine the processing speed of these data. When the data collection
speed is fast, then companies can collate timely situation reports.
3. Variety:
this refers to the diversity of the sources of the data. Data should be
collected from varied sources so that the company can make efficient
reports.
4. Veracity:
Veracity refers to the frequency at which data is collected as well as
the quality of collected data. Data is expected to be collected
consistently because analyzing outdated data could lead to wrong
business decisions.
Now
that we have understood the concept of Big Data, let us take a look at
the way it can optimize waste management and recycle systems.

How Will Big Data Optimize The Waste Management And Recycle Industry?

It
has been discovered that the waste management industry can utilize Big
Data to optimize waste collection routes by analyzing waste and
recycling history. As such, collecting data relating to the volume,
level, and contents of waste in trash cans will immensely reduce the
operating costs of waste management firms
Also,
recycling rates can be optimized by utilizing Big Data, as waste
processing plants can by-pass lots of paperwork and weighing processes.
This is possible because historical data for the volume and contents of
trash cans is already collected and analyzed. As such, recycling plants
can easily use this data speed up recycling processes.

How Can Big Data Be Implemented In The Waste Management System?

The
implementation of Big Data in the waste collection and recycling
industry is still nascent. As such, only a few firms in the industry
have been able to come up with innovative ways of utilizing Big Data to
improve current waste management processes. One such firm is Swachh.
Swachh
is planning on harnessing the potentials of Big Data, AI, Internet of
Things (IoT), and blockchain In order to create a state-of-the-art waste
management ecosystem. Swachh’s model will capitalize on the strength of
each of these technologies in both the waste collection and recycle
processes. As a result, Swachh is positioned to become a major
influencer and pacesetter in the waste management industry.
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