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Product Evaluation Criteria
& Field Reports for the
Leading MDM (RDM) Solutions
10th
Annual MDM & Data Governance Summit
N...
MDM Working Definitions
Master Data Management (MDM)Master Data Management (MDM)
Authoritative, reliable foundation for da...
MDM Working Definitions - continued
Multi-Entity Master Data Management (MDM)Multi-Entity Master Data Management (MDM)
An ...
What is Reference Data?
Reference data =“coded, semantically stable, relatively static
data sets shared by multiple consti...
 Errors in reference data will
ripple outwards affecting quality
of master data in each domain,
which in turn affects qua...
RDM Prologue
 In addition to MDM functionality, RDM systems also
manage complex mappings btw different reference data
rep...
“Analytical MDM” ala “RDM for Big Data”
 Analytical MDM” use case being reinvigorated as
reference data in the form of di...
Reference Data Categories
Multi-Domain
RDM Use Cases
Real-Time / Transactional
RDM Use Cases
Public
(External)
Countries &...
Multi-Domain MDM
Multidomain
RDM
Vendor RDM Approach Indicates
Level of Multi-Domain Ability
Customers
Product
RDM
RDM
Two...
Why Manage Reference Data
Independently?
(“Hub of hubs”? Federated vs. Centralized?)
Customers
Product
Industry
(NAICS, IS...
Critique of Current Approaches
for Multi-Domain Reference Data
RDM Solution Drawback Recommendation
Custom-built, manual
s...
© 2015 The MDM Institute www.the-MDM-Institute.com
“Top 10” RDM Technical Evaluation
Criteria
1. Administration of diverse reference data types
2. Ability to map reference d...
“Administration of Diverse
Reference Data Types”
From R. Thompson,/Credit Suisse, “Multidomain Enterprise Reference
Data,”...
FINANCE
LOCATIONS
“Ability to Map Reference Data”
– pt. 1 (cross-domain mapping)
Issuing Country
(ISO3166)
Name ISO 4217
C...
2013 VERSION
2007 VERSION
“Ability to Map Reference Data”
– pt. 2 (temporal referential integrity)
2013
NAICS
Description
...
RACI Tasks User
R
Update sales
hierarchies Rogers
R
Change industry
classifications Romanova
A
Approve hierarchies
and eff...
“Hierarchy Management Over
Reference Data Sets”
RDM solution should harness relationships between reference data
sets & ex...
“Versioning Support”
(a.k.a. time travel)
Cost Centers
(as-of 2013 Q2)
RDM solution needs versioning & “as of” / effective...
Reference Data Management
Strategic Planning Assumption
 Through 2015, reference data will emerge as a key entry
point fo...
Competition for Multi-Domain RDM
 Custom-built, manual solutions
 Hierarchy management system adaptations
 Do not readi...
Reference Data Management Case Study:
Mega Financial Svcs Provider - DnB NOR
ASA
 Need to manage reference data
provided ...
Reference Data Management Case Study:
Mega Financial Svcs Provider – BNP
Paribas
 Need to integrate reference data
into t...
MDM Institute Field Reports – RDM
 ASG metaRDM
 Ataccama RDM
 Collibra RDM
 IBM RDM Hub
 iGate Patni RDM
 Informatic...
Reference Data Management
“Top 10” Technical Evaluation Criteria
1. Ability to map reference data
2. Administration of ref...
Field Report:
ASG metaRDM
Strengths
 Business user friendly solution,
integrated/common UI across
metaRDM, business gloss...
Field Report:
Collibra Reference Data Accelerator
Strengths
 Centralized governance, mgmt,
stewardship & distribution1
 ...
Field Report:
IBM MDM Reference Data Mgmt Hub
Strengths
 Purpose-built,
commercially proven RDM
 Utilizes IBM MDM
founda...
Field Report:
Kalido Reference Data Mgmt
Strengths
 Rich visual modeling
 Embedded workflow engine for
stewardship & gov...
Field Report:
Oracle Data Relationship Mgmt (DRM)
Strengths
 Compatibility with Oracle EPM
 Corallary DRG workflow engin...
Field Report:
Orchestra Networks EBX5 for RDM
Strengths
● Fully integrated MDM/MDG/RDM
● Enterprise-scalable MDM1
w/
robus...
Field Report:
Profisee Maestro (Reference Data)
Strengths
 Bundled as part of MDM product
suite
 Physical & logical indu...
Field Report:
Semarchy Agile RDM
Strengths
 Iterative, agile methodology
 Flexible architecture, single
platform for MDM...
Field Report:
Software AG webMethods OneData 9.9
Strengths
 Robust solution for centralized DG,
mgmt, stewardship & distr...
Field Report:
Teradata LRDM
Strengths
 Teradata MDM always
focused on reference data
for EDW
 Includes hierarchy
managem...
Field Report:
TopQuadrant’s TopBraid RDM
Strengths
 Robust web-based self-service
solution w/focus on integration w/
othe...
BOTTOM LINE
 Impact of poor or non-existent RDM is profound
 RDM is vital for analytical, transactional &
operational sy...
BOTTOM LINE
 RDM is major IT initiative being undertaken by large # of
market-leading global 5000 enterprises
 Both as I...
Next Steps
 Web research, blogs, investigate social media SIGs,
RDM field reports on slide share & MDM Institute
website
...
MDM & Data Governance Summit™
Conference Series
“More MDM programs get their successful start at
MDM & Data Governance Sum...
About the MDM Institute
 Founded in 2004 to focus on
MDM business drivers & technology
challenges
 MDM Advisory Council™...
MDM Institute Advisory Council
 Advisor agrees to provide Institute’s
consultants with advice & insight regarding
the use...
Authoritative
Relevant
Independent
Aaron Zornes
Founder & Chief Research
Officer
www.the-MDM-Institute.com
aaron.zornes@th...
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Best Practices - Overview of Top 15 Reference Data Management (RDM) Solutions

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ANALYST UPDATE: Field Reports for 'Top 10' RDM Solutions
Aaron Zornes, The MDM Institute

Aaron Zornes session at 10th annual MDM & Data Governance Summit New York - October 2015
The impact of poor or non-existent reference data management (RDM) is profound. Errors in reference data ripple outwards affecting quality of master data in each domain, which in turn affects quality in all dependent transactional and analytical systems. Because reference data is used to drive key business processes and application logic, errors in reference data can have a major negative and multiplicative business impact. More than 55% of large enterprises surveyed by the MDM Institute are planning on implementing RDM in the next 18 months. This session will focus on the “why” and “how” of RDM by providing insight into: Why is RDM mission critical today? How does RDM differ from (how is it similar to) MDM? What are the top business drivers for RDM? Where are most organizations focusing their RDM efforts? Topics to be discussed include;
• Understanding the pros & cons of commercial RDM solutions vs. custom-built (“Buy vs. Build”)
• Applying a “top 10” evaluation criteria methodology to product evaluations for both mega vendor solutions (IBM RDM Hub, Informatica, Oracle DRM) and more pure play (Ataccama, Collibra, Kalido, Orchestra, Semarchy, Software AG, Teradata, TopQuadrant, et al)
• Planning for the future of RDM (dimension management for Big Data marts)& its relationship to overall MDM programs

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Best Practices - Overview of Top 15 Reference Data Management (RDM) Solutions

  1. 1. Product Evaluation Criteria & Field Reports for the Leading MDM (RDM) Solutions 10th Annual MDM & Data Governance Summit New York October 4-6, 2015 Aaron Zornes Chief Research Officer The MDM Institute aaron.zornes@the-MDM-Institute.com www.linkedin.com/in/aaronzornes @azornes +1 650.743.2278
  2. 2. 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. © 2015 The MDM Institute www.the-MDM-Institute.com
  3. 3. 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 © 2015 The MDM Institute www.the-MDM-Institute.com
  4. 4. 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 © 2015 The MDM Institute www.the-MDM-Institute.com
  5. 5.  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 Systemic Failure Inconsistent Reporting Transaction Failure Regulatory Non-compliance © 2015 The MDM Institute www.the-MDM-Institute.com
  6. 6. 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 © 2015 The MDM Institute www.the-MDM-Institute.com
  7. 7. “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 © 2015 The MDM Institute www.the-MDM-Institute.com
  8. 8. 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 Prices SWIFT BIC Codes (Payments) ICD-9/10 Codes (Healthcare) ACORD/ISO Codes (Insurance) Private (Internal) Legal Entities Chart of Accounts Organizations Employees (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) © 2015 The MDM Institute The-MDM-Institute.com RDM programs need to support multiple domains (kinds) of reference data to avoid RDM silos
  9. 9. 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 © 2015 The MDM Institute The-MDM-Institute.com
  10. 10. 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 HR BI/Analytics Geo GeoGeo Geo © 2015 The MDM Institute www.the-MDM-Institute.com
  11. 11. 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)© 2015 The MDM Institute www.the-MDM-Institute.com
  12. 12. © 2015 The MDM Institute www.the-MDM-Institute.com
  13. 13. “Top 10” RDM Technical Evaluation Criteria 1. Administration of diverse reference data types 2. Ability to map reference data 3. Management of reference data sets 4. Architecture/performance 5. Hierarchy management over reference data sets 6. Connectivity/integration 7. Import & export 8. Versioning support 9. Security & access control 10. 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? © 2015 The MDM Institute www.the-MDM-Institute.com
  14. 14. “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 © 2015 The MDM Institute www.the-MDM-Institute.com
  15. 15. FINANCE LOCATIONS “Ability to Map Reference Data” – pt. 1 (cross-domain mapping) Issuing Country (ISO3166) Name ISO 4217 Code USA US Dollar USD CHN Yuan Renminbi CNY JPN Japanese Yen JPY Official Currency ISO3166 USD ASM USD IOT USD ECU USD SLV USD GUM USD HTI USD MHL USD FSM USD MNP USD PLW USD PAN USD PRI USD TLS USD TCA USD USA USD VIR CNY CHN JPY JPN ISO 3166 Code Name USA United States of America CHN People’s Republic of China JPN Japan ASM American Samoa IOT British India Ocean Terr. ECU Ecuador SLV El Salvador GUM Guam HTI Haiti MHL Marshall Islands FSM Micronesia MNP Northern Mariana Islands PLW Palau PAN Panama PRI Puerto Rico TLS East Timor TCA Turks and Caicos Islands VIR 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 LOCATION&FINANCE © 2015 The MDM Institute www.the-MDM-Institute.com
  16. 16. 2013 VERSION 2007 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 Processing 311223 Other Oilseed Processing 221119 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 © 2015 The MDM Institute www.the-MDM-Institute.com
  17. 17. RACI Tasks User R Update sales hierarchies Rogers R Change industry classifications Romanova A Approve hierarchies and effective dates Stark A Approve 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 parties Sequence of interactions Permissions Responsibilities © 2015 The MDM Institute www.the-MDM-Institute.com
  18. 18. “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 © 2015 The MDM Institute www.the-MDM-Institute.com
  19. 19. “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 © 2015 The MDM Institute www.the-MDM-Institute.com
  20. 20. Reference Data Management Strategic Planning Assumption  Through 2015, 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 2015-16, 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 2017, 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 © 2015 The MDM Institute www.the-MDM-Institute.com
  21. 21. 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 © 2015 The MDM Institute www.the-MDM-Institute.com
  22. 22. 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 © 2015 The MDM Institute www.the-MDM-Institute.com
  23. 23. 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 © 2015 The MDM Institute www.the-MDM-Institute.com
  24. 24. MDM Institute Field Reports – RDM  ASG metaRDM  Ataccama RDM  Collibra RDM  IBM RDM Hub  iGate Patni RDM  Informatica RDM  Information Builders Omni CodeSet  Kalido  Microsoft RDM (to be announced)  Oracle Hyperion DRM  Orchestra EBX  Profisee Maestro  SAP MDG-R templates  Semarchy Agile RDM  Software AG WebMethods OneData  Teradata LRDM  TopQuadrant TopBraid RDM ** General-purpose or multi-domain RDM, not industry-specific solut such as capital markets, pharma, e.g., AIM, Asset Control, Eagle, Golden Source , Kingland Systems 360 Data & RSD © 2015 The MDM Institute www.the-MDM-Institute.com
  25. 25. Reference Data Management “Top 10” Technical Evaluation Criteria 1. Ability to map reference data 2. Administration of reference data types 3. Management of reference data sets 4. Architecture 5. Hierarchy management over sets of reference data 6. Connectivity 7. Import and export 8. Versioning support 9. Security & access control 10. E2E lifecycle management Understanding scope, diversity & limitations of nascent RDM offerings is challenging © 2015 The MDM Institute www.the-MDM-Institute.com
  26. 26. 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 © 2015 The MDM Institute www.the-MDM-Institute.com
  27. 27. 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-knowledgeable 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 © 2015 The MDM Institute www.the-MDM-Institute.com
  28. 28. 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  Simplified install-based licensing to predict usage & cost  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 & SAP1 – Achmea, ANZ Bank, Aviva UK, Bank of Montreal, BCBS of North Carolina, Citizens Bank, DnB NOR ASA, Emblem Health, HSBC, IBM Office of the CIO, LabCorp, Royal Mail (UK), Schweizer Bundesbahnen, Standard Bank of South Africa and The CIT Group © 2015 The MDM Institute www.the-MDM-Institute.com
  29. 29. 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  Just beginning to explicitly market RDM capabilities 1 -- BP, Comcast, ERICO, GAFRI, GAIC, JNJ, N.F. Smith & Associates, Unilever, etc. © 2015 The MDM Institute www.the-MDM-Institute.com
  30. 30. Field Report: Oracle Data Relationship Mgmt (DRM) Strengths  Compatibility with Oracle EPM  Corallary DRG workflow engine for stewardship & governance  Sophisticated hierarchy management  Enterprise-scalable architecture  Data & workflow level security  Customizable user interfaces for business self-service (searching, authoring, etc.)  Considerable 3rd party consultancy support Caveats  Lack of matching engine integration (Oracle RDQ or other 3rd party)  Lack of Oracle EPM integration  Lacks Cloud architecture & SaaS offering  Just beginning to explicitly market RDM capabilities © 2015 The MDM Institute www.the-MDM-Institute.com
  31. 31. Field Report: Orchestra Networks EBX5 for RDM Strengths ● Fully integrated MDM/MDG/RDM ● Enterprise-scalable MDM1 w/ robust RDM solution – OOTB visualization, DG, authoring, stewardship & distribution of ref data ● Business user focus, configurable, role-specific, data driven UIs ● Superior dimension & hierarchy management ● Model-driven ease of deployment, implementation & use – built-in process flows + semantic DB underpinning ● OOTB solution for Finance – displacing Oracle DRM, SAP MDG-F Caveats  Nascent AP & LA presence  Growing # of consultancies  Rapidly evolving mkt crowded with mega vendors  Under invested in mktg 1- AXA, TD Ameritrade, Bank of New York Mellon, BNP Paribas, Citi, Credit Agricole, Credit Suisse, JP Morgan Chase, McDermott International, Michelin, NCVER, Sabre, ... © 2015 The MDM Institute www.the-MDM-Institute.com
  32. 32. 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) © 2015 The MDM Institute www.the-MDM-Institute.com
  33. 33. Field Report: Semarchy Agile RDM Strengths  Iterative, agile methodology  Flexible architecture, single platform for MDM & RDM  Semantic model, rather than pre- built model, enables flexibility to manage simple-to-complex reference data  Workbench simplifies physical MDM & allows focus on logical model  Cloud availability – #1 on AMZN AWS marketplace  Scalable pricing  RDM credentials1 Caveats  Nascent plans to support syndicated public & private reference data sets (NAICS, SIC, ICD-9/10, LEI, UDI)  Nascent Cloud story  Underinvested in marketing © 2015 The MDM Institute www.the-MDM-Institute.com 1 – Billabong, Chipotle, Merck/MSD, MundiPharma, Oakley, PIMCO, Rolex, Timac Agro, Volkswagen
  34. 34. Field Report: Software AG webMethods OneData 9.9 Strengths  Robust solution for centralized DG, mgmt, stewardship & distribution  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)  New UI/search capabilities enhance SME user experience/productivity Caveats  Nascent market presence due to BPM-centric MDM  Shortage of knowledgeable consultancies  SaaS capabilities not marketed  Under invested in marketing 1 – Allianz, Chevron, Chubb Insurance, DHL, Givaudan, Nokia, Parexel, Pepsico, SwissGrid, US Office of Personnel Management, Wellpoint, … 2 – Stable, deep pockets vendor … 2015 est. revenue $1.2B, 5K employees, 70 countries© 2015 The MDM Institute www.the-MDM-Institute.com
  35. 35. 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 … © 2015 The MDM Institute www.the-MDM-Institute.com
  36. 36. Field Report: TopQuadrant’s TopBraid RDM Strengths  Robust web-based self-service solution w/focus on integration w/ other tools to provide ‘full spectrum’ reference data  Model-driven ease of deployment, use & extension  Supports comprehensive “metadata about reference data” + strong taxonomy & mappings/crosswalks  Business model & semantic querying features based on open standards1  RACI-based governance & security w/ configurable, fine-grained notifications  On-premise & Cloud-enabled2 Caveats  Curated datasets not currently supplied (planned release, YE2015)  Just beginning to explicitly market RDM capabilities3  Underinvested in marketing 1 – Widely-used, W3C (RDF, SPARQL) semantic-standards based platform 2 – Apache Docker = AMZN AWS, Azure, et al; SaaS available through Amazon Marketplace 3 – Non-RDM customers using TopBraid for business glossaries & other aspects of metadata management include: Bank of America, J&J, JP Morgan Chase, Mayo Clinic, NASA, OECC, OTPP, Lilly, ServiceNow, Syngenta, Thomson Reuters, USAF and other Fortune 1000 companies across different industries including life sciences, financial services, oil/gas, digital media, manufacturing & energy industries© 2015 The MDM Institute www.the-MDM-Institute.com
  37. 37. 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 © 2015 The MDM Institute The-MDM-Institute.com BUY DON’T BUILD RDM … Seek out multi-domain MDM providers with an RDM solution
  38. 38. 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, Semarchy, Software AG, …) & pure-play (Collibra, TopqQUadrant)  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 © 2015 The MDM Institute www.the-MDM-Institute.com Seek out multi-domain RDM solution providers that understand & have experience addressing complexity of reference data
  39. 39. 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 © 2015 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
  40. 40. 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 York Hilton Midtown ▪ October 4-6, 2015Hilton Midtown ▪ October 4-6, 2015 MDM & Data Governance Summit ShanghaiMDM & Data Governance Summit Shanghai Shanghai Int’l Convention Ctr ▪ Spring 2016Shanghai Int’l Convention Ctr ▪ Spring 2016 MDM & Data Governance Summit EuropeMDM & Data Governance Summit Europe London ▪ May 16-19, 2016London ▪ May 16-19, 2016 MDM & Data Governance Summit San FranciscoMDM & Data Governance Summit San Francisco San Francisco ▪ July 2016San Francisco ▪ July 2016 MDM & Data Governance Summit Asia-PacificMDM & Data Governance Summit Asia-Pacific Doltone House – Sydney ▪ July 2016Doltone House – Sydney ▪ July 2016 MDM & Data Governance TokyoMDM & Data Governance Tokyo Belle Salle Kanda – Tokyo ▪ August 2016Belle Salle Kanda – Tokyo ▪ August 2016 MDM & Data Governance Summit CanadaMDM & Data Governance Summit Canada The Carlu – Toronto ▪ Fall 2016The Carlu – Toronto ▪ Fall 2016 © 2015 The MDM Institute www.the-MDM-Institute.com
  41. 41. About the MDM Institute  Founded in 2004 to focus on MDM business drivers & technology challenges  MDM Advisory Council™ of 150 Global 5000 IT organizations with unlimited advice to key individuals, e.g. CTOs, CIOs, data architects  MDM Business Council™ website access & email support to 35,000+ members  MDM Road Map & Milestones™ annual strategic planning assumptions  MDM Alert™ newsletter  MDM Market Pulse™ monthly surveys  MDM Fast Track™ one-day public & onsite workshop rotating quarterly through major North American, European, & Asia-Pacific metro areas  MDM & DATA GOVERNANCE SUMMIT™ annual conferences in London, Madrid, NYC, San Francisco, Singapore, Sydney, Tokyo & Toronto “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
  42. 42. 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 © 2015 The MDM Institute www.The-MDM-Institute.com
  43. 43. Authoritative Relevant Independent Aaron Zornes Founder & Chief Research Officer www.the-MDM-Institute.com aaron.zornes@the-MDM-Institute.com www.linkedin.com/in/aaronzornes +1 650.743.2278 @azornes © 2015 The MDM Institute www.The-MDM-Institute.com

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