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Review of the top 15 software solutions/platforms for Reference Data Management (RDM)
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Product Evaluation Criteria & Field Reports for the
Leading MDM (RDM) Solutions
9th Annual MDM & Data Governance Summit New York
October 5-7, 2014
Aaron ZornesChief Research Officer
The MDM Institute aaron.zornes@the-MDM-Institute.com
www.linkedin.com/in/aaronzornes @azornes
+1 650.743.2278
MDM Working Definitions
Master Data Management (MDM) Master Data Management (MDM)
Authoritative, reliable foundation for data used across many applications & constituencies with goal to provide single view of truth
no matter where it lies.
CDI is mandatory first step for most organizations on journey to MDM
Product Information Mgmt (PIM)
Product Information Mgmt (PIM)
Processes & technologies for recognizing PRODUCT,
SUPPLIER, & PRICING master data
Customer Data Integration (CDI)
Customer Data Integration (CDI)
Processes & technologies for recognizing a customer & its
relationships at any touch-point while aggregating, managing &
harmonizing accurate, up-to-date knowledge about that customer to
deliver it ‘just in time’ in an actionable form to touch-points.
© 2014 The MDM Institute www.the-MDM-Institute.com
MDM Working Definitions - continued
Multi-Entity Master Data Management (MDM)Multi-Entity Master Data Management (MDM)
An MDM solution to concurrently manage multiple, diverse master data domains
(customers, accounts, products) across intra- and extra-enterprise business processes
Reference Data Management (RDM) Reference Data Management (RDM)
Non-volatile reference data shared across the enterprise in context within applications (&
possibly within the industry via “exchanges”); examples: units of measure; currency rates;
calendars; other look-up tables
Large enterprises assume MDM = multi-entity MDM when evaluating software; Managing “simple” reference data will prove to be a key sales entry point for large enterprises i.e.,
a "ramp up" point of entry for many organizations planning for CUSTOMER, PRODUCT master & other domains
© 2014 The MDM Institute www.the-MDM-Institute.com
What is Reference Data?
Reference data =“coded, semantically stable, relatively static data sets shared by multiple constituencies”
(people, systems, & other master data domains)
Customers
Product
Industry
Sales Person
Geo
Cost / Revenue Acct
Business Unit ID
In the logical view, private & public forms of reference data connect domains & application; consistent values
(& semantics) required for multi-domain views & hierarchies© 2014 The MDM Institute www.the-MDM-Institute.com
Errors in reference data will ripple outwards affecting quality of master data in each domain, which in turn affects quality in all dependent transactional systems
RDM needed in both operational & analytical MDM use cases where capability often used to provide attributes, hierarchies & KPIs
Why Reference Data? Why Now?
Central role of reference data means RDM becoming“starting point” for many organizations planning MDM & MDG
SystemicFailure
Inconsistent Reporting
TransactionFailure
Regulatory Non-compliance
© 2014 The MDM Institute www.the-MDM-Institute.com
RDM Prologue
In addition to MDM functionality, RDM systems also manage complex mappings btw different reference data representations & different data domains across the enterprise
Manual or custom RDM often lack change management, audit controls, & granular security/permissions
Because reference data is used to drive key business processes &application logic, errors in reference data can have a major negative & multiplicative business impact
Mismatches in reference data impact on data quality affect the integrity of BI reports and also are a common source of application integration failure
Just as businesses no longer build own CRM, ERP, &MDM systems, so too are organizations beginning to acquire commercial RDM, which can be easily
tailored or configured & have full ongoing support of major software vendor
© 2014 The MDM Institute www.the-MDM-Institute.com
“Analytical MDM” ala “RDM for Big Data”
Analytical MDM” use case being reinvigorated as reference data in the form of dimensions (enterprise finance especially) being managed around Hadoop big data systems a.k.a. “monster marts”
Similar to the way that early commercial RDM systems were used to rationalize reporting data marts
© 2014 The MDM Institute www.the-MDM-Institute.com
Reference Data Categories
Multi-Domain RDM Use Cases
Real-Time / Transactional RDM Use
Cases
Public(External)
Countries & Subdivisions (FIPS10)
Currencies (ISO 4217)Time Zones (ISO 8601)
Industry Classification (NAICS, ISIC)
Security PricesSWIFT BIC Codes (Payments)ICD-9/10 Codes (Healthcare)
ACORD/ISO Codes (Insurance)
Private(Internal)
Legal Entities Chart of Accounts
OrganizationsEmployees
(i.e., much of HR & Finance Data)
Reference data required for transaction processing
Semi-Private? (Shared)
Customized Public Reference Standards (e.g. customized D&B)
Shared Private Data (Finance)
© 2014 The MDM Institute The-MDM-Institute.com
RDM programs need to support multiple domains (kinds) of reference data to avoid RDM silos
Multi-Domain MDM
Multidomain RDM
Vendor RDM Approach Indicates Level of Multi-Domain Ability
Customers
Product
RDM
RDM
Two main approaches to RDM = Synchronization-driven (buy lots of ETL) vs. Multi-domain (buy commercial RDM) …
Synchronization-driven requires $$$ for data integration & lacks semantic stability/governance of hub approach
Suppliers
RDM
Synchronization-Centric
Private RD
RDM
ETL/DI
Private
Public
Customers
Product
Suppliers
RDM Hub or Multi-Domain MDM
Implementation
© 2014 The MDM Institute The-MDM-Institute.com
Why Manage Reference Data Independently? (“Hub of hubs”? Federated vs. Centralized?)
Customers
Product
Industry(NAICS, ISIC)
Sales Person
Geo(ISO3166,
FIPS)
Cost / Revenue
Acct
Business Unit ID
Geo
Geo
In the logical model, reference data connects domains & applications; in implementations local copies exist for each consumer; challenges include: governance, synchronizing,
versioning, & custom hierarchies/internationalizations
ERP
Finance HRBI/Analytics
Geo
Geo
Geo
Geo
© 2014 The MDM Institute www.the-MDM-Institute.com
Critique of Current Approaches for Multi-Domain Reference Data
RDM Solution Drawback Recommendation
Custom-built, manual solutions
Heavy TCO burden Avoid unless reference data demands are truly unique
Spreadsheets Difficult to govern, secure, version, & audit; no modeling, poor hierarchy management
Distribute data in spreadsheets; govern data in RDM solution
Repurpose hierarchy management solution (MSFT MDS, ORCL DRM)
Poor cross-domain support, no classification mapping, few enterprise integration options
Seek out multi-domain RDM solution with hierarchy management
Customize existing domain-specific MDM (Customer or Product)
Rudimentary data modeling, lifecycle mgmt capabilities, & governance features (esp. authoring & workflow)
Use multi-domain RDM solution to maintain connections & govern/update into CDI & PIM via data services
ERP / Enterprise Application
Limited governance, versioning, distribution; also reference data customized use in app may have limited appeal in other systems
Master in external platform. RDM can be used to govern baseline set, versions and adaptations
Real-time / industry-specific RDM
Premium priced R/T RDM solutions do not represent good economic sense
Leverage R/T RDM solutions for R/T use cases (trading, claims processing, payments)
© 2014 The MDM Institute www.the-MDM-Institute.com
© 2014 The MDM Institute www.the-MDM-Institute.com
“Top 10” RDM Technical Evaluation Criteria
1. Administration of diverse reference data types2. Ability to map reference data3. Management of reference data sets4. Architecture/performance5. Hierarchy management over
reference data sets6. Connectivity/integration7. Import & export 8. Versioning support9. Security & access control10. E2E lifecycle management
Coming to market are RDM solutions characterized by multiple, diverse levels of integration w/ market-dominant MDM hubs as well as repackagings of existing mid-market
MDM solutions – HOW TO EVALUATE?© 2014 The MDM Institute www.the-MDM-Institute.com
“Administration of Diverse Reference Data Types”
From R. Thompson,/Credit Suisse, “Multidomain Enterprise Reference Data,” 7th Annual MDM & Data Governance Summit New York 2013
Private Ref Data
Public Ref Data
RDM solution should support a wide mix of data structures from name:value pairs to hierarchies (see criteria #5)
RDM Top 10 Eval Criteria
#1
© 2014 The MDM Institute www.the-MDM-Institute.com
FINANCELOCATIONS
“Ability to Map Reference Data” – pt. 1 (cross-domain mapping)
Issuing Country (ISO3166)
Name ISO 4217Code
USA US Dollar USD
CHNYuan Renminbi CNY
JPNJapanese Yen JPY
Official Currency
ISO3166
USD ASMUSD IOTUSD ECUUSD SLVUSD GUMUSD HTIUSD MHLUSD FSMUSD MNPUSD PLWUSD PANUSD PRIUSD TLSUSD TCAUSD USAUSD VIRCNY CHNJPY JPN
ISO 3166Code
Name
USA United States of AmericaCHN People’s Republic of ChinaJPN JapanASM American SamoaIOT British India Ocean Terr.ECU EcuadorSLV El SalvadorGUM GuamHTI HaitiMHL Marshall IslandsFSM MicronesiaMNP Northern Mariana IslandsPLW PalauPAN PanamaPRI Puerto RicoTLS East TimorTCA Turks and Caicos IslandsVIR Virgin Islands
RDM solutions need to preserve values & mappings between reference data sets – both in domain and across domains.
RDM Top 10 Eval Criteria
#2
LO
CA
TIO
N &
FIN
AN
CE
© 2014 The MDM Institute www.the-MDM-Institute.com
2013 VERSION2007 VERSION
“Ability to Map Reference Data” – pt. 2 (temporal referential integrity)
2013 NAICS
Description
311224 Soybean and Other Oilseed Processing
221114 Solar Electric Power Generation
221115 Wind Electric Power Generation
221116 Geothermal Electric Power Generation
221117 Biomass Electric Power Generation
221118 Other Electric Power Generation
2007 NAICS
Description
311222 Soybean Processing311223 Other Oilseed
Processing221119 Other Electric Power
Generation - solar electric power generation
RDM solution needs to maintain links between versions, creating a migration path between versions of reference data … “Crosswalks”
are important for understanding how something changed.
MERGE
SPLIT
RDM Top 10 Eval Criteria
#2
© 2014 The MDM Institute www.the-MDM-Institute.com
RACI Tasks User
RUpdate sales hierarchies Rogers
RChange industry classifications Romanova
AApprove hierarchies and effective dates Stark
AApprove industry classifications Banner
A Approve merge into effective dated
Fury
“Mgmt of Reference Data Sets” (Governance workflows)
RDM Top 10 Eval Criteria
#3
An RDM solution needs to support governance workflows; includes defining: responsible & accountable parties (including systems), permissions & area of responsibility for each party
(field, instance, container level), how parties interact/tasks & auditing/history…
Accountable partie
s
Sequence of interactions
Permissions
Responsibilities
© 2014 The MDM Institute www.the-MDM-Institute.com
“Hierarchy Management Over Reference Data Sets”
RDM solution should harness relationships between reference data sets & existing party or thing data to create hierarchies
SIC Codes
Customer & SIC Code Mapping
ICD-10 Codes
Active Ingredients & ICD-10 Mapping
Active Ingredients & Product Mapping
Viewing customers by industry classification
Viewing drugs by Active Ingredient interactions & ICD-10 Codes
RDM Top 10 Eval Criteria
#5
© 2014 The MDM Institute www.the-MDM-Institute.com
“Versioning Support” (a.k.a. time travel)
Cost Centers(as-of 2013 Q2)
RDM solution needs versioning & “as of” / effective dating to support recall of reference data values, relationships or hierarchies
(versioning has *major* implications for analytics/ BI!)
Cost Centers(Current)
Cost Centers(Effective 2013 Q1)
RDM Top 10 Eval Criteria
#8
© 2014 The MDM Institute www.the-MDM-Institute.com
Reference Data ManagementStrategic Planning Assumption
Through 2014, reference data will emerge as a key entry point for enterprises & in turn unduly influence choice of MDM for Customer, Product & other domains; large enterprises will continue to mandate that REFERENCE data be part of MDM platform's native entity types
During 2014-15, MDM vendors will begin to market RDM to apply an MDM approach for centralized governance, stewardship & control; Sis will move into this market via OEMing of Informatica & IBM MDM into "securities master" mkt under pricing umbrella of GoldenSource
By 2016, pervasive, low cost RDM will be commoditized via the efforts of Ataccama, Microsoft & Oracle
MDM MILESTONE
Managing “simple” reference data will prove to be a key sales entry point for MDM vendors
© 2014 The MDM Institute www.the-MDM-Institute.com
Competition for Multi-Domain RDM
Custom-built, manual solutions Hierarchy management system adaptations
Do not readily support publish-subscribe, classification mapping, etc.
Custom MDM domain type Lack of data modeling flexibility, rudimentary lifecycle
management capabilities & limited data governance features, esp. authoring & workflow
Multi-domain RDM RDBMS vs. semantic/OODBMS
Purpose-built or industry-specific RDM Premium priced real-time RDM solutions do not
represent good economic sense
Seek out multi-domain RDM solution providers that understand & have experience addressing complexity of reference data
© 2014 The MDM Institute www.the-MDM-Institute.com
Reference Data Management Case Study: Mega Financial Svcs Provider - DnB NOR ASA
Need to manage reference data provided by external standard bodies
Reference data changes managed manually
No clear ownership of reference data across the business
Reference data must be entered, updated & managed in multiple places, yielding duplication & introducing errors
Manage & consolidate Reference Data for data warehouse load
Manage MDM code tables & map MDM codes to legacy systems codes
Publish reference data (changes) to consuming systems
Provide governance, process, security, audit control around reference data mastering
Apply commercial software (IBM RDM Hub Asset) rather than build RDM is major step in longer term transformation of the bank to
move from silo-driven business & IT culture to become “ONE – Group”
Business Issues Solution
© 2014 The MDM Institute www.the-MDM-Institute.com
Reference Data Management Case Study: Mega Financial Svcs Provider – BNP Paribas
Need to integrate reference data into the bank's service-oriented architecture (SOA) infrastructure
Lack of harmonization & propagation of reference data across the bank's groups (lines of businesses)
Need to streamline the Data Governance process via a cross-business governance (group-level)
Evolve MDM capabilities "Think big but start small"
orientation Provide a controlled perimeter for
master data & processes Centralize the data governance
function Create value at the MDM level (point
of truth = point of creation) Manage scope
Identify what’s in MDM and what’s not & what is RDM
Manage master data & processes independently without requiring strong coupling with the business
Keep unstructured or transactional data out of MDM scope
Apply commercial software (Orchestra Networks EBX) rather than build RDM is a key enabler of its MDM Shared Services Center COE
whose charter is to provide shared enterprise data services
Business Issues Solution
© 2014 The MDM Institute www.the-MDM-Institute.com
MDM Institute Field Reports – RDM
ASG metaRDM Ataccama RDM Collibra RDM IBM RDM Hub iGate Patni RDM Informatica RDM Kalido Microsoft RDM
(to be announced)
Oracle Hyperion DRM Orchestra EBX Profisee Maestro SAP MDG-R templates Software AG
WebMethods OneData Teradata LRDM Vin MDM
** General-purpose or multi-domain RDM, not industry-specific solutions such as capital markets, pharma, e.g., AIM, Asset Control, Eagle, Golden Source , Kingland Systems 360 Data & RSD
© 2014 The MDM Institute www.the-MDM-Institute.com
Reference Data Management “Top 10” Technical Evaluation Criteria
1. Ability to map reference data2. Administration of reference
data types3. Management of reference
data sets4. Architecture5. Hierarchy management over
sets of reference data6. Connectivity7. Import and export 8. Versioning support9. Security & access control10. E2E lifecycle management
Understanding scope, diversity & limitations of nascent RDM offerings is challenging
© 2014 The MDM Institute www.the-MDM-Institute.com
Field Report: ASG metaRDM
Strengths Business user friendly solution,
integrated/common UI across metaRDM, business glossary & Rochade metadata repository apps
Foundational compliance support via integrated data lineage & impact analysis capabilities, centralized governance/mgmt/stewardship & distribution
Strong taxonomy & hierarchical management of ref data via extensible Metamodel
Flagging & automated scanning of ref data within operational DBs
Caveats Under invested in
marketing ASG metaRDM
solution is relatively new to market
Lacks Cloud architecture & SaaS offering
© 2014 The MDM Institute www.the-MDM-Institute.com
Field Report: Collibra Reference Data Accelerator
Strengths Centralized governance, mgmt,
stewardship & distribution1 Business user friendly solution (similar
to SFDC as portal for glossaries) Strong taxonomy support &
mappings Model-driven ease of deployment,
implementation & use (built-in process flows + semantic layer on RDBMS)
OOTB integration w/MDM (IBM, INFA), Data Glossary (ASG Rochade, IBM Business Glossary) & DQ (IBM Info Analyzer, Informatica IDQ, Trillium)
Cloud-based, SaaS option
Caveats Nascent North American
market presence 2
Relative shortage of Collibra-knowledgable consultancies
Vulnerability in rapidly evolving market crowded with mega vendors & other nouveau MDM vendors
Under invested in mktg
1 - Large multi-national insurer, Independence Blue Cross, COLT, ING Bank (group finance level), Kyivstar, NCR, …
2 - Major North American operations only began 2H2013
© 2014 The MDM Institute www.the-MDM-Institute.com
Field Report: IBM MDM Reference Data Mgmt Hub
Strengths Purpose-built,
commercially proven RDM
Utilizes IBM MDM foundation
Full function with strong taxonomy support & mappings
Ease of deployment, implementation, & use
Market momentum1
Caveats Lack of BPM integration &
workflow (needs configurable workflow)
Lacks Cloud architecture & SaaS offering
Perception of excessive software stack foundation
Missing adapters for other IBM software (Discovery, etc.) & other major apps such as Oracle & SAP
1 – Achmea, ANZ Bank, BCBS of North Carolina, CIT, Citi Mortgage, DnB NOR ASA, IBM Office of the CIO, LabCorp, RBS Citizens, Standard Bank of South Africa and The CIT Group
© 2014 The MDM Institute www.the-MDM-Institute.com
Field Report: Kalido Reference Data Mgmt
Strengths Rich visual modeling Embedded workflow engine for
stewardship & governance Embedded domain-agnostic
matching engine Sophisticated time variance Enterprise-scalable architecture Data & workflow level security Customizable user interfaces for
business self-service (searching, authoring, etc.)
Significant consultancy support for Kalido RDM
Caveats Lack of BPM integration Lacks Cloud architecture &
SaaS offering Perception of loss of
overall market momentum Just beginning to explicitly
market RDM capabilities
1 -- BP, Comcast, ERICO, GAFRI, GAIC, JNJ, N.F. Smith & Associates, Unilever, etc.
© 2014 The MDM Institute www.the-MDM-Institute.com
Field Report: Orchestra Networks EBX5 for RDM
Strengths
● Fully integrated MDM/MDG/RDM● Robust solution for centralized
DG, mgmt, stewardship & distribution of reference data
● Enterprise-scalable RDM1
● Strong taxonomy support, hierarchy mgmt & graph views
● Model-driven ease of deployment, implementation, & use (built-in process flows + semantic DB underpinning)
● OOTB integration with Excel, EPM/Finance Solutions (Hyperion)
Caveats● Nascent AP & LA
presence● Growing # of
consultancies● Rapidly evolving mkt
crowded with mega vendors
● Under invested in mktg
1- Bank of New York Mellon, BNP Paribas, Citi, Credit Agricole, Credit Suisse, McDermott Int’l, Michelin, National Bank of Canada, Sabre, ...
© 2014 The MDM Institute www.the-MDM-Institute.com
Field Report: Profisee Maestro (Reference Data)
Strengths Bundled as part of MDM product suite Physical & logical industry models via
ERwin & XML specification Banking, insurance (ACORD), retail
(ARTS), healthcare, gaming & hospitality
Strong support for selective merging of metadata from physical MDM reference metadata, logical models in ERwin & external data
Versioning (via Microsoft MDS) Modeling & cross-walk of both
reference & master data into collated models
Caveats Under invested
in marketing Lacks Cloud
architecture &SaaS offering(planned CY2015)
© 2014 The MDM Institute www.the-MDM-Institute.com
Field Report: Software AG webMethods OneData
Strengths Robust solution for centralized DG, mgmt,
stewardship, & distribution of enterprise reference data
Proven multi-domain RDM1
Deep cross-referencing/hierarchy capabilities w/impact analysis
Strong taxonomy support/ mappings for public & private reference data
Can ingest customer metadata models & UI wraps around model
Model-driven ease of deployment, implementation, & use (integration w/ BPM for SOA & MDM deployment)
Stable, deep pockets vendor 2
Caveats Nascent market
presence Shortage of
knowledgable consultancies
SaaS capabilities not marketed
Under invested in marketing
1 – Allianz, Chubb Insurance, General Electric, Givaudan, Nokia, Parexel, Pepsico, SwissGrid, US Office of Personnel Management, Wellpoint, …
2 – 2012 est. revenue $1.2B, 5K employees, 70 countries
© 2014 The MDM Institute www.the-MDM-Institute.com
Field Report: Teradata LRDM
Strengths Teradata MDM always
focused on reference data for EDW
Includes hierarchy management, workflow & versioning
Strong Excel integration Ease of deployment,
implementation & use Market momentum1
within Teradata base
Caveats Requires Teradata
platform Not fully multi-domain
RDM due to EDW focus
1 – Intel, Lloyds TSB, Meredith, PepsiCo, Standard Chartered Bank, Swisscom, Target, Telstra, Vodafone Australia, Vodafone Netherlands …
© 2014 The MDM Institute www.the-MDM-Institute.com
BOTTOM LINE
Impact of poor or non-existent RDM is profound
RDM is vital for analytical, transactional & operational systems— reflected in investment levels within the organization
Initial RDM investments are manageable— getting started won’t kill your budget like CRM, ERP, CDI or PIM
50% of successful MDM implementations happen on non-mega vendor solutions … RDM is tracking to the same market dynamics
RDM is independent from tradt’l MDM (CDI, PIM)—forward looking MDM providers have a distinct RDM strategy
e.g., IBM, Oracle, Orchestra Networks
© 2014 The MDM Institute The-MDM-Institute.com
BUY DON’T BUILD RDM …Seek out multi-domain MDM providers with an RDM solution
BOTTOM LINE
RDM is major IT initiative being undertaken by large # of market-leading global 5000 enterprises
Both as IT discipline & COTS software solution, RDM solutions are being brought to market at an increasing pace
Mega vendor MDM hubs (IBM, INFA, ORCL, SAP) Repackagings of existing mid-market MDM capabilities (MSFT
RDM product for MSFT MDS, ORCL DRM, etc.) Best of breed multi-domain RDM (Ataccama, Orchestra Networks,
Profisee, Software AG, …) Expect to pay between $250K-$1M for commercial solution
RDM is good entry-level project to show success for initial MDM investment which can be built on as DG model
© 2014 The MDM Institute www.the-MDM-Institute.com
Seek out multi-domain RDM solution providers that understand & have experience addressing complexity of reference data
Next Steps
Web research, blogs, investigate social media SIGs, RDM field reports on slide share & MDM Institute website
Read market studies, analyst reports, investigate academic resources, e.g., DAMA-DMBOK
Attend industry conferences & network with veteran RDM practitioners
© 2014 The MDM Institute The-MDM-Institute.com
Contact vendors & explore their solution … Unlike CDI & PIM, RDM can be tested
with real business data & users with very little setup
MDM & Data Governance Summit™Conference Series
“More MDM programs get their successful start at MDM & Data Governance Summits than anywhere else”
MDM & Data Governance Summit New YorkMDM & Data Governance Summit New YorkSheraton Times Square ▪ October 5-7, 2014Sheraton Times Square ▪ October 5-7, 2014
MDM & Data Governance Summit San FranciscoMDM & Data Governance Summit San FranciscoHyatt Fisherman’s Wharf – May 2015Hyatt Fisherman’s Wharf – May 2015
MDM & Data Governance Summit Europe MDM & Data Governance Summit Europe London ▪ May 18-20, 2015London ▪ May 18-20, 2015
MDM & Data Governance Tokyo MDM & Data Governance Tokyo Belle Salle Kanda– Tokyo ▪ July 2015Belle Salle Kanda– Tokyo ▪ July 2015
MDM & Data Governance Summit Canada MDM & Data Governance Summit Canada The Carlu – Toronto ▪ July 2015The Carlu – Toronto ▪ July 2015
MDM & Data Governance Summit Asia-Pacific MDM & Data Governance Summit Asia-Pacific Doltone House, Darling Island Wharf – Sydney ▪ July 28-30, 2015Doltone House, Darling Island Wharf – Sydney ▪ July 28-30, 2015
MDM & Data Governance Summit ShanghaiMDM & Data Governance Summit ShanghaiShanghai Int’l Convention Ctr ▪ Fall 2015
© 2014 The MDM Institute www.the-MDM-Institute.com
About the MDM Institute
Founded in 2004 to focus on MDM business drivers & technology challenges
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“Independent, Authoritative, & Relevant”
About Aaron Zornes Most quoted industry analyst authority on topics of MDM, RDM & Data Governance
Founder & Chief Research Officer of the MDM Institute Conference chair for Information Mgmt’s MDM & Data Governance Summit
conferences Founded & ran META Group’s largest research practice for 14 years M.S. in Management Information Systems from University of Arizona
MDM Institute Advisory Council
Advisor agrees to provide Institute’s consultants with advice & insight regarding the use of MDM software & related business processes at Advisor’s convenience
Advisor agrees to participate in at least one fifteen (15) minute survey teleconference call every sixty (60) days
Optionally, Advisor may respond to the bi-monthly survey request via email or Internet-based survey fulfillment
Results of such MDM market research surveys shall be aggregated by the Institute & made available to all Advisory Council members
In no case, shall any Advisor-specific survey information be made available to other parties unless Advisor has specifically agreed to the release of such information in writing150 organizations who receive unlimited MDM advice to key
individuals, e.g. CTOs, CIOs, & MDM project leads
Representative Members• 3M• Bell Canada• Caterpillar• Cisco Systems• Citizens Communications• Doctors Without Borders• Educational Testing Services• GE Healthcare• Honeywell• Information Handling Services• Intuit• JC Penney• McKesson• Medtronic• Microsoft• Motorola• National Australia Bank• Nationwide Insurance• Norwegian Cruise Lines• Novartis• Polycom• Roche Labs • Rogers Communications• Scholastic• SunTrust• Sutter Health• Visa• Westpac• Weyerhaeuser
© 2014 The MDM Institute www.The-MDM-Institute.com
Authoritative
Relevant
Independent
Aaron ZornesFounder & Chief Research
Officer www.the-MDM-Institute.com
aaron.zornes@the-MDM-Institute.comwww.linkedin.com/in/aaronzornes
+1 650.743.2278 @azornes
© 2014 The MDM Institute www.The-MDM-Institute.com
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