Your current MDM Single Customer View will FAIL GDPR – Find out if your risk is thousands or millions of customer records?
Right to Erasure
Finally you can measure your False-Negative match error risks with clear Governance, Risk & Compliance (GRC) KPI metrics – Then DataDelta can help reconfigure your current customer record fuzzy matching to improve GDPR compliance (and show due-diligence to the ICO)
- 2-Day CRM vs MDM Match Conflict Cloud Audit (no PII required)
- 1-Week GDPR Fast Cloud Audit (no PII required)
- 4-Week GDPR Onsite Deep Audit (analyzes copy of PII protected at your datacenter)
Patent-Pending Big Data Graph DB Technology analyzes your entire customer hub +4 Billion recs
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 Right to Erasure Risk Audit
Current CRM & MDM Single Customer View Hubs fail GDPR 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
14-year Leader in Match Accuracy Analytics and 2009 Gartner "MDM Cool Vendor"
50% of the Fortune 8 have engaged DataDelta, including many Fortune 1000
Meet the team
Ed Allburn, President & CEO
Ed has over 30 years deep domain expertise with customer data ranging from leading Customer Data Integration R&D for 1:1 Database Marketing in the ‘80s through MDM and Governance, Risk & Compliance such as GDPR today. An experienced Expert Witness for DLA Piper and international speaker, in addition to technical roles such as at the IBM TJ Watson Research Center he also served in strategic Product Management roles at multiple leading Data Quality vendors before founding DataDelta in 2004
Karen Caloia, VP Bus Dev
Karen has over 20 years experience working with clients at both the technical and strategic business levels of Data Quality, Database Marketing and MDM for companies such as Group 1 Software, Experian, and Pitney Bowes. She has implemented multiple successful data integration solutions including real time and international data solutions for various industries including retail, finance and manufacturing with unique knowledge of custom data modeling and it’s statistical use and analysis (FICO, Unica, Dun & Bradstreet)
Aaron Zornes, Board of Advisors
Chief Research Officer, The MDM Institute
Aaron is Conference chairman for the largest conference on MDM, CDI, and data governance – The MDM SUMMIT held in annually New York City, San Francisco, London, Frankfurt, Sydney, & Madrid. He is the most quoted industry analyst on the topic of master data management (MDM), customer data integration (CDI), & data governance while providing editorial direction & monthly contribution to DM Review’s CDI & MDM Newsletters as well as being the monthly columnist for both CDI & MDM.
David Raab, Board of Advisors
Founder, The CDP Institute
David has >30 years experience as a marketer, consultant, author and analyst consulting for major firms in financial services, health care, telecom, publishing, consumer goods, technology and other industries. He has written hundreds of articles on marketing issues and addressed audiences in North America, Europe, Asia and Australia. The Customer Data Platform Institute is a vendor-neutral educational project to help marketers build a unified customer and provides a library of information, daily newsletter and blog, discussion forums, and other services.
Philip Howard, Board of Advisors
Research Director: Information Management at Bloor Research
In addition to the numerous reports Philip has written on behalf of Bloor Research, Philip also contributes regularly to IT-Director.com and IT-Analysis.com and was previously editor of both “Application Development News” and “Operating System News” on behalf of Cambridge Market Intelligence (CMI). He has also contributed to various magazines and written a number of reports published by companies such as CMI and The Financial Times. Philip speaks regularly at conferences and other events throughout Europe and North America.