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

Shreesha Hegde Kukkuhalli

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.

Keywords: Data augmentation, revenue recovery, customer data management, external data providers, invoicing accuracy, data governance, data integration, data platform, data quality

How to Cite?: Shreesha Hegde Kukkuhalli, "Recovering Lost Revenue by Augmenting Internal Customer Data with External Data for Accurate Invoicing for Large B2B Enterprises", Volume 13 Issue 11, November 2024, International Journal of Science and Research (IJSR), Pages: 613-615, https://www.ijsr.net/getabstract.php?paperid=SR241031200134, DOI: https://dx.doi.org/10.21275/SR241031200134