Resource library

Before you commit budget to an AI and Data initiative, see how the last 1,000 got built

Case studies, info sheets, and success stories from engagements Infoverity has already delivered — the master data foundations, the integrations, and the AI use cases that made it into production, in the words of the CDOs and data leaders who ran them.

VIDEO TESTIMONIAL

How Fressnapf built data governance that grows with 2,800 stores

Europe’s largest pet supplies retailer needed to trust its data before it could scale on it. Here’s how Fressnapf Maxi Zoo partnered with Infoverity, on Informatica’s IDMC platform, to make data governance something business teams pull toward.

Retail

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SUCCESS STORY

Schneider Electric: More cross-sell and upsel revenue, built on data you can trust

Whether you’re managing installed base data, customer data, or product data, the pattern is the same: a trusted repository only creates value once it reaches the people making decisions. This case study lays out how Schneider Electric closed that gap.

Energy Technology · Distribution

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CHECKLIST

The Importance of Post-Launch Planning: MDM Pre-Launch Checklist

An 8-step checklist for what to do after your MDM system goes live, covering incident management, training, monitoring, and enterprise data ownership, now updated with guidance on governing AI in post-launch support and monitoring.

All industries

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CASE STUDY

Extraco Banks: one customer view across banking, loans, and wealth management

A customer data platform unified 60,000 profiles from 15 source systems, lifted campaign conversion 27% year over year, and added $64 million in new earning assets while cutting campaign turnaround from weeks to minutes.

Financial services · Central Texas regional bank

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CASE STUDY

Patterson Companies: from three updates a week to same-day publishing

A product master data implementation gave a dental and animal health distributor a single data hub, cut the time to publish product updates from three times a week to same-day, and built a data model ready for future product lines.

Healthcare distribution

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CASE STUDY

Panduit: automating catalog production from product master data

A $1.2 billion network infrastructure manufacturer connected product master data to its catalog publishing system, automating catalogs and eliminating manual reconciliation between marketing and product teams.

Manufacturing

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CASE STUDY

Wawanesa Insurance: mastering the policyholder record

An MDM implementation across Property & Casualty and Life policy systems replaced five duplicated data sources with one mastered policyholder record, making lifetime value, cross-sell, and fraud analytics reliable for the first time.

Insurance

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CASE STUDY

Regional health system: data governance and self-service analytics

A multi-state, not-for-profit health system built governed, self-service access to its own data, reducing how often clinical and operations teams had to wait on IT for routine reporting.

Healthcare · client anonymized at their request

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SUCCESS STORY

Great Clips: a single customer record across every system

An MDM implementation cut customer record volume 30% through deduplication, delivered one 360-degree view to every business group, and built CCPA-compliant anonymization into the platform from day one.

Retail & franchise services

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WHITE PAPER

A guide to non-invasive data governance

A framework for standing up data governance across people, process, and technology without disrupting how work already gets done — illustrated with a real product-data example and grounded in the cost of ungoverned data, $9.7–$14.2 million a year for the average business.

Framework · all industries

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WHITE PAPER

Top 5 business outcomes from an MDM and DG program

Five outcomes tied directly to master data programs, from faster cross-departmental collaboration to the $4.0 million in incremental income and $650K in supplier-management productivity gains Forrester and Dun & Bradstreet found tied to mature MDM.

Framework · all industries

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WHITE PAPER

Closing the gap between AI investment and value

Why so many AI initiatives stall before delivering results, and what it takes to close the gap. A practical look at how strategy, data readiness, governance, literacy, and change management work together to turn AI investment into measurable business outcomes.

Framework · all industries

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