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Enterprise Data Management with SAP
Published 9/2026
Created by EntSol Academy
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 33 Lectures ( 2h 59m ) | Size: 964.3 MB
Master enterprise data management with SAP - govern it, distribute it, analyse it, and power AI with it.
What you'll learn
• Explain what Enterprise Data Management means as a business discipline and why it is a strategic priority for every organisation • Distinguish between master data, transactional data, and analytical data, and understand why master data is the most critical to govern • Describe the four key master data domains: customer, supplier, material, and financials, and the real business consequences of managing them poorly • Explain what SAP Master Data Governance (MDG) does, how Central Governance and Consolidation work, and how workflows and approvals create a governed data envi • Understand why governing data and distributing data are two separate disciplines, and how SAP Master Data Integration (MDI) closes the gap • Describe how SAP Datasphere and SAP Analytics Cloud turn governed, trusted data into reliable business insight • Articulate why AI outcomes depend entirely on data quality, and how SAP Business Data Cloud connects data management to AI readiness • Apply the 8-step EDM roadmap and define meaningful KPIs to measure data quality success in your own organisation • Connect all the concepts through the NovaTrade Global story, a realistic business journey from data chaos to data confidenceRequirements
• No technical background, SAP system access, or prior data management experience is required • An interest in understanding how businesses manage their critical data and what goes wrong when they do not • A willingness to think about data as a business problem, not just an IT problemDescription
This course offers a clear, practical introduction to Enterprise Data Management with SAP. You will learn why poor data quality costs organisations time, money, and trust, and how SAP solutions help govern, distribute, analyse, and activate enterprise data for AI. A simple framework connects the entire learning journey:MDG governs it, MDI distributes it, Datasphere analyses it, and AI consumes it. Each topic begins with a recognisable business challenge and is explained through plain language, relatable examples, and memorable analogies. No system access, configuration exercises, or technical background is required. The course concludes with the NovaTrade Global case study, an engaging business story that brings the full framework together through four data crises, their root causes, and the solutions used to resolve them. By the end, you will have the vocabulary, perspective, and confidence to discuss Enterprise Data Management with business and technology stakeholders and advocate for better data practices in your organisation.
Requirements
· No technical background, SAP system access, or previous data management experience is required
· An interest in how organisations manage critical business data and what happens when that data cannot be trusted
· A willingness to view data as a business asset, not simply an IT responsibility
Target Audience
·Business analysts and data stewards who want to understand how governance fits into the wider enterprise data landscape
·Project managers and programme leads involved in SAP implementations, data migrations, or digital transformation initiatives
·ERP users who work with master data and want to understand its wider impact across the business
·Consultants and pre-sales professionals who need a confident, business-level understanding of the SAP Enterprise Data Management portfolio
·Finance, procurement, supply chain, and operations professionals who have experienced the consequences of poor master data and want to understand how those issues can be addressed
·Executives and business stakeholders who want to understand the strategic value of data governance without getting lost in technical detail
·Anyone interested in enterprise data and how large organisations manage one of their most valuable assets
What Makes This Course DifferentMany courses focus on tools and terminology. This course helps you understand the business story behind the technology and why it matters.
·No system access required: Learn through clear explanations, practical analogies, and visual before-and-after scenarios
·A complete business case study: Follow NovaTrade Global as it tackles four connected data challenges and builds a stronger foundation for growth
·One memorable framework: See how the key SAP solutions connect, from governance and distribution to analytics and AI
·Business first, technology second: Understand each solution as a response to a real business need rather than a list of features to memorise
Designed for busy professionals: Every lecture is eight minutes or less, making it easy to learn at your own pace and return whenever you need a quick refresher.
Who this course is for
• Business analysts and data stewards who work with enterprise data and want to understand the broader governance landscape • Project managers and programme leads involved in SAP implementations, data migrations, or digital transformation initiatives • ERP end users who interact with master data daily and want to understand why data quality matters beyond their own screen • Consultants and pre-sales professionals entering the SAP space who need a confident, business-level understanding of the EDM portfolio • Finance, procurement, supply chain, and operations professionals who have experienced the downstream impact of bad master data and want to understand the solution • Executives and business stakeholders who need to understand the strategic value of data governance without a technical deep-dive • Anyone curious about how large, complex enterprises manage their most critical asset their dataHomepage
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