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AI Use Cases
synvert Accel­er­at­ors
woman talking on phone sitting in front of laptop
Suc­cess stories

Com­mu­nic­a­tions, Media & Telecom  - Data Recon­cili­ation

Go back to success stories

About

Com­mu­nic­a­tions, Media & Telecom

To improve billing accur­acy and cus­tomer sat­is­fac­tion, the cli­ent addressed dis­crep­an­cies between CRM and billing data by imple­ment­ing a dash­board and machine learn­ing model for real-time detec­tion and pre­ven­tion of over­char­ging and undercharging.

Ini­tial situation

The cus­tomer exper­i­enced issues in which users were occa­sion­ally over­charged or under­charged for their mobile plan.

This was due to incon­sist­en­cies between CRM and billing data.

Archi­tec­ture

  • Pys­park
  • Sklearn
  • Oracle
  • Pan­das
  • Tableau

Gen­er­ated bene­fits

The rev­enue assur­ance depart­ment can detect and pre­vent over/undercharging.

In this way, the cus­tom­ers’ sat­is­fac­tion and the fin­an­cial trans­par­ency increases.

Ser­vices accom­plished by synvert 

A dash­board was built in which incon­sist­en­cies could be eas­ily visualized.

An under­ly­ing ML model was used to detect and pre­vent such inconsistencies.

Categories
All
Tech
Banking
Communications, Media & Telecom
Consumer Goods & Retail
Energy & Resources
Health & Life Science
Industrials
Insurance
Public Sector

Vehicle Data Store

Soft­ware­Fact­ory at a lead­ing auto­mot­ive soft­ware company

DevX Impact at a HR-Tech Company

Driv­ing Inter­na­tional Expan­sion for a Lead­ing E‑Commerce Company

Accel­er­at­ing Cloud-Nat­ive Devel­op­ment in the Auto­mot­ive Industry

Retail Com­mis­sion Dia­gnostics Anom­aly Detection

Set­ting up a Reli­able and Power­ful Platform

Pre­dic­tion of cus­tomer prob­ab­il­ity to churn

Early Detec­tion of Mech­an­ical Issues

NLP​ in Auto­mot­ive Reporting

Oper­a­tional Data Lake

Real-Time Mar­ket­ing

Auto­matic clas­si­fic­a­tion of cars by their model

Dies­el­tech Program

Data Recon­cili­ation

Cent­ral­ized Data Warehouse

Data as a Ser­vice – BI & Big Data CC

Oper­a­tional Work/Support in Data Warehousing

Erosion Detec­tion with Com­puter Vision

Devel­op­ment and Imple­ment­a­tion of a Fully Auto­mated MLOps Platform

Pre­dic­tion and Alloc­a­tion Optim­iz­a­tion for sta­tion­ary Channels

Build­ing a Near Real-Time Recom­mend­a­tion System

Migra­tion AWS data plat­form to Google Cloud

Design and Devel­op­ment of a Google Cloud-Based Data Platform

Refact­or­ing, shift and new devel­op­ment of Data Ser­vices in Google Cloud

Estab­lish­ment of a Mas­ter Data Man­age­ment Foundation

Cent­ral Data Lake

Replace­ment of a com­plex IBM Data­stage structure

CRM ana­lyt­ics and lead management

Stand­ard­iz­a­tion of eval­u­ation processes

Devel­op­ment of an ERP data hub

Estab­lish­ment and fur­ther devel­op­ment of a DWH

Devel­op­ment of a group-wide BI platform

Estab­lish­ment of a new sales report­ing system

Source data migra­tion with auto­ma­tion of the source data connection

Cloud self-ser­vice BI for data-driven cor­por­ate management

Devel­op­ment of vari­ous ML use cases with AWS

Replace­ment of an in-house soft­ware development

Com­pany-wide data integration

Imple­ment­a­tion of real-time data links

Smart Data Catalog

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