Telecom

Web-Based Data Analytics Solution Development

Impala Intech created a web-based data analytics solution for a reputed telecom company situated in the US

Client’s Goal - Data Analytics With Efficient Results

Our client for the project was a renowned US-based telecom company that offers prepaid cell phones and service packages to low-income individuals. They required a data analytics solution that would offer a lower time for analyzing large packets of data

Challenges

The Challenge for Impala

Business Challenges

  • Enabling forecasting by analyzing historical data
  • Providing their users with access to user-related analytics

Technical Challenges

  • Designing and implementing a data management and analytics platform from scratch
  • Enabling the solution to gather data from multiple sources
  • Implementing user access controls
  • Collecting customer behavior insights through interaction
Workflow

How Impala Intech Made it Possible

Data Collection

These pieces of information were getting collected from 10+ sources. To collect this telemetry data and move it into the cloud, the Impala Intech team suggested the MQTT Protocol

Engagement Measurement

The client could measure the engagement of a particular user and identify their preferences

Behavior Prediction

The client’s analytics system could make predictions about how the user would behave

Spotting Trends

By analyzing the user’s interactions, the client could spot the trends from behavior analytics

Relevant Invoice Generation

The client can invoice advertisers based on their calculated share

Tech

Our Tech Stack

AWS

bigdata logo

BigData

Python

The Success of Our Solution

With the updated infrastructure the client managed to reduce 80% of AWS computing resource costs.

With the new infrastructure in place to serve the customer better, the client had a lot of new users coming in to enjoy the updated services.

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