AI case study

Telia CompanyData tagging

With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.

Published|today

Key results

Cost Savings
€700,000
Time Savings
10,000 hours
Data Fields Updated
87,000

Result highlights

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The story

Context

A major Nordic telecommunications provider managing vast repositories of customer interactions, sales inquiries, and call records across the region.

Challenge

In one major data warehouse, only 1% of the records had corresponding metadata. This missing context forced employees to sift through unlabeled...

Solution
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The company

Telia Company logo

Telia Company

teliacompany.com

Mobile and broadband connectivity provider in the Nordic and Baltic regions.

IndustryTelecommunications
LocationSolna, Sweden
Employees10K-50K
Founded1853

The implementation partner

Accenture logo

Accenture

accenture.com
IndustryProfessional Services
LocationDublin, Ireland
Employees100K+
Founded1989

The vendor

Amazon Web Services (AWS) logo

Amazon Web Services (AWS)

aws.amazon.com
ROLE IN THIS CASE STUDY

Provided Amazon Bedrock to build an intelligent solution for updating data tags and descriptions.

IndustryTechnology
LocationSeattle, WA, USA
Employees100K+
Founded2006

Use case

Telia Company's Data tagging is part of this use case:

Data Extraction
123 case studies(+51% YoY)
Proven impact?
LowModerateVery Strong
4.3Moderate
10.3Very strongwithin Knowledge Management

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