Software Development

Data Mining Solutions

Additional NLP Techniques to be deployed to enhance relevance of information collected/ collated.

Objective:

One of the leading telecom tower infrastructure management company in India, wanted to monitor their infrastructure status of all sites , create and monitor trouble ticker status..

Additional Challenge

The network being live, site status changes to be monitored at regular intervals continuously.

Situation

Data of entire telecom sites , included many more infrastructure items over and above tower company requirement was available on HP and IBM OSS Platform ( Operation Support System). The need was to focus only on data of interest and analyze.

Solutions Approach

Focusing on Relevant Fields of Information from TowerCo Perspective
Analyzing Status and Changes in Integrated way
Trouble Ticket Creation, Tracking and Analytics
Prescriptive Analytics.

Data Mining :Rolls Royce IoT COE Support

The company wanted their engineering teams should be abreast with latest IoT Solutions, Products which can be of interest in their domain
Normal Study of such IOT Devices on multiple web sites would waste their lots of time in
Visiting the sites
Going through products which are of same category, but specifications are beyond their requirement zone.
Also study the same repeated listing of same product multiple times across multiple sites
So they decided to develop a Web Section – IOT Centre of Excellence – to provide details on all relevant products at one place.
While identifying the products , the requirement was to focus on – Products of Relevance, Parameter Limits of Relevance, Option to Choose Brands of Relevance, Focus to look such details at prominent online sites.
Pilot Phase I with study and analysis of data carried out across three online stores conducted, validated against client parameter boundaries and presented.