DataDelta Entity Resolution fuzzy match algorithm fine-tuning & change analytics technology helps find & fix Single Customer View fuzzy match algorithm problems for MDM vendors such as Ataccama, IBM, Informatica, Oracle, Orchestra, Profisee, Reltio, SAP, Semarchy, Stibo, Syncsort/Trillium, TIBCO and custom match engines
Compare Before/After fuzzy match change results of Your *Entire* Customer Hub (up to 4 Billion records)
See *exact* impact of match changes caused by:
- Answer “What Matches Changed?” Fuzzy match algorithm fine-tuning & troubleshooting
- Data silo onboarding – how badly will new data skew probabilistic matching?
- Match vendor migration & consolidation (including custom coded match engines)
- Mergers & Acquisition data merge & match engine standardization eval
- Referential Data matching to 3rd-Party sources – increase match rates
- Data quality cleansing & standardization match impact analysis
- Householding and hierarchical matching
- GDPR & CCPA compliance risks of Subject Access Requests (SARs)
- Compare competing MDM vendor match results
- Config new match engines to generate same results as legacy match platforms by reverse engineering legacy match algorithms
Patent-Pending Big Data Graph DB Technology analyzes your *entire* customer hub up to 4 Billion records
Globally provided as a pure consulting service – your team saves time & expense not having to purchase & learn DataDelta tools (our consultants use on your behalf)
Compatible with fuzzy record match engine tools from *all* CRM, MDM, MCIF, CDP, and Data Quality vendors – including custom, home-grown match engines developed in-house
GDPR & CCPA Subject Access Request (SAR) Risk Audit
Current CRM & MDM Single Customer View Hubs fail DSARs due to strict fuzzy match requirements. Is your risk thousands or millions of False-Negative errors? Get fast, reliable risk metrics to prioritize resources
Match Conflict Audit: CRM vs MDM vs MCIF
What CRM fuzzy matches are missed by your MDM, and vise versa? Which is better for GDPR? Uncover exact match differences for your *entire* Single Customer View Hubs in just 2-days (no PII required)
Match Accuracy Audit
DataDelta tools find fuzzy match errors missed by other vendors because we analyze *entire* hubs, not just tiny samples, to identify problem trends & determine impact analysis. VIP customers have most complex data & highest risk of match errors
Match Engine Configuration Fine-Tuning
Improve your *current* match engine accuracy. Compare before/after fuzzy match algorithm change results for *entire* hubs to confirm old problems fixed & catch surprising new problem side effects. Impact analysis of onboarding new data silos to avoid skewing match behavior also available
Match Vendor Migration & Consolidation
Enhance business user confidence to safely migrate or consolidate onto a new match engine by comparing old vs new match results of your *entire* hub (not tiny samples) to ensure no ugly surprises. Optionally reverse-engineer old match configuration to make new match engine generate same results
Custom Home-Grown to COTS Match Engine Migration
Safely replace your old, custom developed match engine with a maintainable Commercial Off The Shelf match tool from *any* vendor - while avoiding disruptive match changes. DataDelta's technology can reverse engineer your old match engine to help configure your new tool to generate near identical matches by comparing old Vs new results for the *entire* hub
18-year Leader in Match Accuracy Analytics and
Gartner "MDM Cool Vendor"
50% of the Fortune 8 have engaged DataDelta, including many Fortune 1000
Meet the team
Founding President & CEO
Ed's background includes the IBM TJ Watson Research center where he focused on Big Data Graph Database technology for large consumer databases in Database Marketing and Analytics. He has over 30 years deep domain experience with DW, CRM, MDM & CDP "360-Degree Single Customer View" hubs for numerous Fortune 1000 companies including RegTech HIPAA, GDPR & CCPA and is an international speaker conducting workshops in North America, Europe, Asia, Israel and South Africa.
Board of Advisors
Chief Research Officer, MDM Inst
"Godfather of MDM"
Aaron has shepherded the US$2B/year MDM industry as Conference Chair for his MDM & Data Governance Summit series since 2004 ((London, Madrid, NYC, San Francisco, Singapore, Sydney, Tokyo, Toronto). More than 30,000 IT executives and managers have attended this 14 year old series of professional conferences. Aaron has also been an MDM/DG advisor to many of the world’s largest & most dynamic enterprises as they leverage master data in their digital transformation strategies.
David Raab, Board of Advisors
Founder Customer Data Platform
David has over 30 years experience as a marketer, consultant, author and analyst. He has consulted with major firms in financial services, health care, telecommunications, publishing, consumer goods, technology and other industries. Mr. Raab has written hundreds of articles on marketing issues and addressed audiences in North America, Europe, Asia and Australia.