Orchestrating Clean Data: Master Data Management Across the Lead-to-Cash Lifecycle

In a modern data-driven enterprise, Master Data Management (MDM) is the cornerstone for operational excellence across the Lead-to-Cash (L2C) lifecycle. This paper explores how accurate, consistent, and governed master data across key business objects—such as leads, accounts, contacts, opportunities, contracts, and products—enables organizations to streamline processes, reduce duplication, and enhance customer experiences. Through detailed coverage of lead qualification, fuzzy logic matching, deduplication algorithms, and unique identifier strategies, the paper emphasizes how clean data directly impacts forecasting and sales execution. We examine best practices in managing product catalogs, organizing SKUs, and governing user-defined attributes (UDAs) that drive configuration and billing rules. The importance of a structured New Item Request (NIR) process and change control for product attributes is highlighted as a driver for catalog integrity and operational efficiency. Furthermore, we address how MDM extends into accounting segment creation and maintenance, supporting financial accuracy and compliance.

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Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-04-16
DOI
https://doi.org/10.52783/jisem.v10i36s.6726
Primary Topic
Credit Risk and Financial Regulations
Type
article
Field-Weighted Citation Impact
0.00
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article

Orchestrating Clean Data: Master Data Management Across the Lead-to-Cash Lifecycle

Debashis Jha
Journal of Information Systems Engineering & Management
Credit Risk and Financial Regulations
article

Orchestrating Clean Data: Master Data Management Across the Lead-to-Cash Lifecycle

Debashis Jha
article en

Abstract

In a modern data-driven enterprise, Master Data Management (MDM) is the cornerstone for operational excellence across the Lead-to-Cash (L2C) lifecycle. This paper explores how accurate, consistent, and governed master data across key business objects—such as leads, accounts, contacts, opportunities, contracts, and products—enables organizations to streamline processes, reduce duplication, and enhance customer experiences. Through detailed coverage of lead qualification, fuzzy logic matching, deduplication algorithms, and unique identifier strategies, the paper emphasizes how clean data directly impacts forecasting and sales execution. We examine best practices in managing product catalogs, organizing SKUs, and governing user-defined attributes (UDAs) that drive configuration and billing rules. The importance of a structured New Item Request (NIR) process and change control for product attributes is highlighted as a driver for catalog integrity and operational efficiency. Furthermore, we address how MDM extends into accounting segment creation and maintenance, supporting financial accuracy and compliance.

Journal of Information Systems Engineering & ManagementVol. 10(36s)
Technical Solutions (United States) (US)
Openalex Percentile: Top 89%
Credit Risk and Financial Regulations
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