Case Study

Optimize IOT Sensors

IOT

Project Name: Optimize IOT Sensors

Client: Major Telecom and Media Client

Project Commencement Date: June 18, 2017

Project Completion Date: Present

Project url:

Business Problem:  

1.    Identify Call-In Rate for customer
2.    Reduce Sensor Call-In Rate and Truck Roll Rate
3.    Reduce Expense resulted from Truck Roll Rates

 

Business Solution:

1.    Build an analytical tool to track all the customer call and corresponding truck rolls results from the ticket from CRM.
2.    Evaluate/Estimate options to implement fixes for the sensors(both hardware/software) 
A)    Analyze and implement software solutions and prioritize the fixes as per the problem areas as per cost(Internal Engineering/Product Owners)- Plan for release schedules)
B)    Analyze hardware solutions and prioritize the fixes as per the problem areas as per cost(Involved 3rd party hardware provider and get roadmap/plan to fix the issues)

 

Technologies Used for Solutions: Splunk, Amazon Web Services, SQL Server, Tableau BI, Windows, UNIX, Lambda, Kinesis Data Stream, ALB/Routing (Split Data), Java, Spring Boot, Microservices, REST API, C#, D, Java, and Python