TELECOM
An Indonesian global Telecom provider with a rapid growing operation, operating under the National 2G/ 3G/WCDMA licenses. They provide mobile data, and affordable voice and SMS services..
The client was having challenges managing data scalability across the streaming data coming from their towers, preventing them from filtering out the real time data, unable to get real time analytics or build AI modules.
Must explain to you how all this mistaken idea of denouncing pleasure and praising pain was born will give you a complete account of the system pain can procure.
Step1: Define the problem:
Differentiate fact from opinion.
Specify underlying causes.
Consult each faction involved for information.
State the problem specifically.
Identify what standard or expectation is violated.
Determine in which process the problem lies.
Avoid trying to solve the problem without data.
![](http://datagridz.com/wp-content/uploads/2020/03/gallery-19.jpg"")
Step2: Generate solutions:
Postpone evaluating alternatives initially
Include all involved individuals in the generating of alternatives
Specify alternatives consistent with organizational goals
Specify short- and long-term alternatives
Brainstorm on others’ ideas
Seek alternatives that may solve the problem.
Step3: Evaluate:
Evaluate alternative relative to a target standard
Evaluate all alternatives without bias
Evaluate alternatives relative to established goals
Evaluate both proven and possible outcomes
State the selected alternative explicitly.
Step4: Implement:
Plan and implement a pilot test of the chosen alternative
Gather feedback from all affected parties
Seek acceptance or consensus by all those affected
Establish ongoing measures and monitoring
Evaluate long-term results based on a final solution.
DataGridz helped deploy and configure Data lake&Comviva MRTM product, streamlining data management across their overall business applications. This exercise helped them improve drastically on analytics platform for their real time marketing, customer loyalty, compliance, billing and other business critical processes.
They were able to derive optimum value from their IT systems, resulting in improvement in their billing systems, security infrastructure and overall data flow across applications.
