Tamr
Building a Business Case for AI-native MDM Guide
Pages
20
Time to read
20 mins
Publication
Language
English
Pages
20
Time to read
20 mins
Publication
Language
English
This document is a how-to guide focused on constructing a business case for AI-native Master Data Management (MDM). It outlines the increasing demand for real-time insights and the necessity of high-quality data for successful generative AI applications. The guide emphasizes the importance of linking MDM benefits to measurable business outcomes to secure executive support. It details the MDM journey, which includes assessing current data quality, improving it, gathering user feedback, and operationalizing data. The guide identifies four essential elements for a successful business case: the team, the business problem being addressed, the justification with evidence of value, and the financial impact. It stresses the need for collaboration among stakeholders across departments to ensure the business case aligns with strategic objectives and addresses real-world challenges. The document also provides guidance on articulating the value of AI-native MDM in terms of revenue growth, cost reduction, and risk mitigation, ensuring a compelling argument for investment.