

Current glitches:
· The biggest bottleneck
faced by the telecom industry is the call
drop rate. Call drop rate is the number of calls disconnected without the
initiation of any party, per hundred calls.
· The limited availability
of bandwidth for setting up a network leads to a lot of competition. Also, this
limited bandwidth puts a limitation on the number of subscribers that can be
serviced in a particular area at a time.
· The demand for high speed
data transfer over limited bandwidth is also a huge limitation. This results in
slower downloads and uploads.
Data analytics in
telecom industry:
With the immense popularity that big data has been
gaining these days, its entry to telecom wasn’t surprising. Using the enormous
amount of data available with us, it is amazing how a little compilation can help
the industry immensely. The major areas in which telecom industries put big
data to use are:
· De-cluttering
– By compiling the data from various base stations, rush hours for a particular
area can easily be calculated. When the network provider is aware of the times
when their network is most congested, alternative solutions can be planned out
for it.
· Customer loyalty,
acquisition and retention – The key part of any
business is its customer and customer satisfaction is the thing that ultimately
generates revenue. By using data analytics, the network providers can now
access the details of every one of their users and determine their preferences
in order to come up with plans that lead to customer satisfaction.
· Call plans
– The various calling plans available at the market today are all based on
models designed with the help of data analysis. Understanding the different
types of customers and their needs is the basis of designing customized plans.
· Network performance
optimization – The efficiency of a network can be
increased considerably with the help of data analytics. In order to serve the
customers in best possible way, the network needs to be optimized.
· Failure prediction
– Knowing the success rate of a particular plan in advance is always a great
advantage. Using big data, the success or failure of a plan can be accurately
predicted hence reducing the cost of application to a huge extent.
· Security
– No matter how neat the world out there is, the probability of fraud cannot be
ignored. Even with the best possible security in place, there can be loopholes
causing damage to the network. Using data analysis, these loopholes can easily
be detected hence reducing the chances of fraud and security breach.
· Event based marketing campaign - Depending on the events currently in trend, different plans are designed to attract customers into choosing them as their (customer) network provider. These current market trends are based on the results from analysis of big data. The accuracy of the analysis is directly proportional to the amount of data used in analysis
Catering to
customer satisfaction:
·
Customer demographic
(age, marital status, etc.)
·
Sentiment analysis of
social media
·
Customer usage patterns
·
Calling-circle data
·
Browsing behavior
·
Support call center
statistics
Future
enhancement:
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Wouldn't it be a good idea to create a course?