Recovering Lost Revenue by Augmenting Internal Customer Data with External Data for Accurate Invoicing for Large B2B Enterprises

In today's competitive business environment, accurate invoicing plays a pivotal role in ensuring financial stability. Organizations often face challenges in maintaining precise customer data, leading to lost revenue due to incorrect invoicing. This paper presents a solution to recover lost revenue by augmenting internal customer data with data from external data providers such as Zoominfo, Dun & Bradstreet. By improving customer data accuracy and targeting the right contacts for invoicing, organizations can minimize billing errors and enhance revenue recovery. The proposed approach combines advanced data integration techniques with robust data governance practices to ensure that customer information is up - to - date, reliable, and sufficient for accurate billing processes across enterprise systems that either contribute or consume customer data. Towards the end of the paper, I will present a case study where proposed approach was applied within a large global enterprise to recover $1.8M unpaid elevator maintenance bills by resending the invoice to right email address.

Authors

Publication Details

Journal
International Journal of Science and Research (IJSR)
Published
2024-11-05
DOI
https://doi.org/10.21275/sr241031200134
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Recovering Lost Revenue by Augmenting Internal Customer Data with External Data for Accurate Invoicing for Large B2B Enterprises

Shreesha Hegde Kukkuhalli
International Journal of Science and Research (IJSR)
Big Data and Business Intelligence
article

Recovering Lost Revenue by Augmenting Internal Customer Data with External Data for Accurate Invoicing for Large B2B Enterprises

Shreesha Hegde Kukkuhalli
article en

Abstract

In today's competitive business environment, accurate invoicing plays a pivotal role in ensuring financial stability. Organizations often face challenges in maintaining precise customer data, leading to lost revenue due to incorrect invoicing. This paper presents a solution to recover lost revenue by augmenting internal customer data with data from external data providers such as Zoominfo, Dun & Bradstreet. By improving customer data accuracy and targeting the right contacts for invoicing, organizations can minimize billing errors and enhance revenue recovery. The proposed approach combines advanced data integration techniques with robust data governance practices to ensure that customer information is up - to - date, reliable, and sufficient for accurate billing processes across enterprise systems that either contribute or consume customer data. Towards the end of the paper, I will present a case study where proposed approach was applied within a large global enterprise to recover $1.8M unpaid elevator maintenance bills by resending the invoice to right email address.

International Journal of Science and Research (IJSR)Vol. 13(11)
Openalex Percentile: Top 69%
Big Data and Business Intelligence
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Recovering Lost Revenue by Augmenting Internal Customer Data with External Data for Accurate Invoicing for Large B2B Enterprises — Shreesha Hegde Kukkuhalli · International Journal of Science and Research (IJSR) (2024) | TGRS Research Map | TGRS