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Addo AI

TELECOM

Intelligent Data Platform for a Multinational Telecom Operator

IMPACT BY THE NUMBER

2X

reduction in the cost of data analytics

20TB+

data migrated from 50+ diverse sources into IDP

75+

use cases implemented

The Challenge

A telco wanted to build an analytics infrastructure to enable a 360-degree real-time view of customers, business operations and to reduce the cost by sunsetting the expensive legacy systems after migration of data and reports into the new data platform.

The Solution

A modern data platform architecture was designed, provisioned and optimized for performance, scalability and cost efficiency. 

Salient features of the platform were:

  • 20TB+ data migration and sunsetting of legacy systems
  • Data ingestion data from 50+ diverse sources into IDP
  • Tiered storage to optimize query and cost optimization. MDM was implementation on semantic layer for multiple domains. 
  • Enabled Data Virtualization layer and integrated seamlessly with BI reporting for improved access management and governance
  • Development and deployment of 75+ use cases

The Results

  • The built data analytics platform enabled business users to gain real-time insights for decision making and a 2x reduction in the cost of data analytics infrastructure and licensing was observed. Within two years of platform launch, 75+ use cases have been implemented successfully and a daily volume of ~25 TB is generated for the data platform from over 50 source systems.

Technologies Used

Kubernetes

Talend

Jupyter Notebook

YARN

Sqoop

Qlik

Cloudera/HDFS

Hive

Vertica

Apache hadoop

Apache Spark

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