Making the Business Case for MDM in Asset-Intensive Industries

Unorganized data costs more than you think. Discover how to build a results-driven business case for MDM, backed by ROI and real-world pain points.
vendor codes and customer codes

Your ERP isn’t broken. But your data might be. And that disconnect is quietly costing your business millions through stock-outs, overstocking, missed compliance, and rework. This post is for decision-makers ready to challenge the status quo and expose the hidden business impact of poor master data. If you’re looking to build a strong, board-ready business case for MDM, you’re in the right place.

Why MDM Needs a Business-First Lens

Master Data Management (MDM) is often viewed through a technical or compliance lens. But when done right, it becomes a strategic lever for efficiency, savings, and scalability.

Rather than presenting MDM as a back-office cleanup exercise, your business case should link data quality to high-impact outcomes like:

  • Accelerated digital transformation
  • Inventory cost reduction
  • Procurement accuracy
  • Compliance readiness
  • Streamlined ERP go-lives

Core Challenges That MDM Solves

Procurement

  • Frequent purchases of already-stocked items
  • Free-text orders in local languages
  • Underused catalogs and inconsistent descriptions

Finance

  • Inaccurate CAPEX vs. OPEX tracking
  • Delayed book closings due to reconciliation issues
  • Repeated SOX 404 compliance failures

IT

  • Customizations caused by bad data
  • User distrust of ERP outputs
  • Repeated project delays due to pre-launch data cleanup

Operations

  • Spare part mismatches
  • Receiving wrong components
  • Unused inventory cluttering warehouses

Here’s how poor data creates real cost:

FunctionBreakdownBusiness Impact
ProcurementDuplicate or vague material recordsExcess purchases, missed savings
FinanceMisaligned material categorizationWrong reporting, audit red flags
ITDirty data from legacy systemsExtended timelines, system rework
OperationsLack of visibility in spare partsDowntime, delayed maintenance

Why MDM Projects Often Fail to Get Buy-In

Many MDM proposals get dismissed because they sound like internal housekeeping. To get decision-makers on board, shift the narrative from “cleaning data” to “optimizing business performance.”

The strongest business cases quantify the problem and connect MDM to KPIs that leadership cares about:

  • Working capital locked in excess inventory
  • Stock-out-driven production losses
  • Unnecessary supplier onboarding
  • Regulatory compliance risk

How to Build a Business Case for MDM That Gets Funded

Let’s walk through a framework:

1. Diagnose the Business Problem

Use actual metrics: duplicate materials, excess inventory, failed audits, or project delays.

2. Quantify Financial Impact

Tap into known benchmarks:

  • Inventory carrying cost: ~20% annually
  • Manual data maintenance cost: ~$10–$25 per record per year
  • Mismatched POs and invoices: 10–15% of total volume

3. Show Strategic Alignment

Map MDM outcomes to key initiatives:

  • ERP optimization
  • Procurement transformation
  • ESG and compliance reporting
  • Maintenance and reliability improvements

4. Highlight Savings & ROI

Example:

  • Inventory: $25M
  • Duplicate rate: 10%
  • Cost savings: $2.5M
  • ROI period: <6 months

5. Address Risk Mitigation

MDM also reduces risk by:

  • Supporting audit readiness (SOX, INTRASTAT)
  • Avoiding unplanned downtime
  • Minimizing emergency orders

The Untapped Value of Indirect and MRO Materials

Most SAP users focus on data quality for finished goods and raw materials. But indirect materials like MRO, tools, and consumables often go unmanaged.

These categories:

  • Contain tens of thousands of SKUs
  • Are poorly described or classified
  • Lead to false stock-outs or redundant purchases

The Before vs. After: Data-Driven Transformation

AreaBefore MDMAfter MDM
Inventory VisibilityFragmented, high WIPReal-time, optimized holdings
Procurement AccuracyFrequent errors, manual checksAutomated validation, fewer returns
ERP Go-Live ReadinessDelayed by monthsOn-time with verified data
ComplianceManual reviews, patchwork dataStructured reporting, aligned fields

What Makes CODASOL’s Approach Different

With PROSOL, CODASOL offers more than a data tool. It’s a full-stack MDM platform tailored for indirect materials and complex enterprise environments:

  • Native SAP, Oracle, and Maximo compatibility
  • AI/ML-driven deduplication and classification
  • Role-based approvals and governance
  • Live integration with supplier catalogs
  • Fully auditable change history

Curious how much cost is hiding in your material master?

Business case MDM

Governance Isn’t an Add-On

Your data will never stay clean unless the governance layer is automated, embedded, and role-aware.

With PROSOL, you get:

  • In-flight duplicate detection
  • Enrichment with taxonomy standards (UNSPSC, ECCMA, eCl@ss)
  • Category- and usage-based validations

The result? Long-term impact:

  • 30% reduction in inventory holding costs
  • 40% improvement in PO accuracy
  • 75% lower manual data maintenance effort
Master data management

Ready to present a compelling MDM proposal to leadership? We’ll help you build it with ROI. No guesswork!

Frequently Asked Questions

1: Who should own the MDM business case? IT or Business?
Ideally both. IT can validate the technical landscape, but business teams must highlight pain points and strategic benefits.

2: What kind of data delivers the fastest ROI?
Indirect materials and MRO data often yield high returns due to volume and complexity.

3: How can I measure MDM benefits?
Look at inventory levels, PO error rates, vendor count reduction, and ERP project costs pre/post MDM.

4: Do I need a new tool for this?
Not always. With a platform like PROSOL, you get built-in intelligence, compliance, and integration without needing to rip and replace.

5: What if I already did a one-time cleansing?
One-time efforts decay over time. True value comes from governance, automation, and ongoing accuracy.

Final Thought:

You don’t need to argue for more technology. You need to make your data worth trusting. Start with MDM. Because every intelligent system begins with intelligent data.

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