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for the Leading Data Governance
Solutions
13th
Annual MDM & Data Governance Summit
November 4-6 • New York City
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. Prologue
Data governance (DG) is vital to success of MDM projects – both initially
& ongoing
During 2018-19, Global 5000 enterprises will increasingly mandate that
“no MDM program be funded without the pre-requisite DG framework”
“Proactive DG” that includes entire master data lifecycle will increasingly
be mandated as a core phase zero or phase one deliverable of most
large-scale MDM projects
Given substantial investment required for MDM programs, co-
dependence/synergy of DG & MDM must be given close scrutiny – not
only to contain costs, but also to insure success
© 2018 The MDM Institute www.the-MDM-Institute.com
3. Data Governance Working Definitions
Data Governance (DG)Data Governance (DG)
Formal orchestration of people,
process & technology to enable an
organization to leverage data as an
enterprise asset across different
lines-of-business and IT systems
Passive Data GovernancePassive Data Governance
Data steward consoles & other
reactive data management
capabilities focused on after-the-
fact data compliance; often batch-
like & not integrated with MDM
Master Data Governance aligns IT-centric viewpoints & business-centric
viewpoints regarding data quality; MDM & MDG are becoming
natural way of aligning data with business processes
Proactive Data GovernanceProactive Data Governance
Metrics-driven, crowd-sourced
capability for business users & IT
to actively control their shared
data across different lines of
business & IT systems
Active Data GovernanceActive Data Governance
Metrics-enabled, upstream data
policy enablement; replaces
manual data admin processes with
role-based, real-time SME
empowerment
© 2018 The MDM Institute www.the-MDM-Institute.com
4. Prologue
Through 2018-19, major SIs & boutique consultancies will
focus on productizing DG frameworks while MDM software
providers struggle to link governance process with process
hub technologies
Concurrently, Global 5000 size enterprises will struggle to
evolve enterprise-strength DG both in cost-effective &
practical ways that shift from “passive” to “active” to
“proactive” DG modes
DG assistance from SIs will remain especially vital to
success of MDM programs during 2018-19 as organizations
deal with a shortage of DG experience, tools & tool
expertise
© 2018 The MDM Institute www.the-MDM-Institute.com
5. Prologue
Understanding scope, diversity & limitations of current
Data Governance solution offerings is tremendously
challenging – even more so, given fast pace of M&A &
complexities of integrating such diverse software portfolios
Nonetheless, business & IT leadership chartered with
defining & executing MDM programs need help to
understand & navigate through numerous Data
Governance options
“Go governance, go early” is rallying cry of savvy
enterprise & solution architects chartered with setting
scope & direction of their enterprise’s data integration
programs
© 2018 The MDM Institute www.The-MDM-Institute.com
6. Master Data Governance Challenges
Break down functional & organizational stovepipes
Integrate processes across the enterprise – including
corporate technology, all LOBs, functional areas &
geographic regions
Engage all levels of management & adjudicate between
centralized vs. decentralized data stewardship
Evolve key stakeholders from “data ownership” to “data
stewardship”
Overcome lack of process integration in current “data
governance” offerings
Based on recognition of issues at hand, an improving economy & increasing regulatory requirements, businesses are
now recognizing opportunity to take more strategic view of data governance
© 2018 The MDM Institute www.the-MDM-Institute.com
7. Rosetta Stone of DG Maturity Models
Stage Name
I Anarchy
II Feudalism
III Monarchy
IV Federalism
The MDM Institute
Common inquiry is “How do I get from Level 2 to Level 4 or 5?”
IBM Data Governance Council
DataFlux/SAS Gartner Research
Stage Name
I Initial
II Managed
III Defined
IV Quantitatively Managed
V Optimizing
Stage Name
1 Undisciplined
2 Reactive
3 Proactive
4 Governed
Stage Name
0 Unaware
1 Aware
2 Reactive
3 Proactive
4 Managed
5 Effective
© 2018 The MDM Institute www.the-MDM-Institute.com
8. MDM Institute’s Data Governance Maturity Model
“Anarchy” (basic) – Application-centric approach; meets business
needs only on project-specific basis
“Feudalism” (foundational) – IT policy-driven standardization
on technology & methods; common usage of tools & procedures across
projects
“Monarchy” (advanced) – business-driven, rationalized data with data
& metadata actively shared in production across sources
“Federalism” (distinctive) – SOA (modular components), integrated
view of compliance requirements, formalized organization with defined roles &
responsibilities, clearly defined metrics, iterative learning cycle
Fin Svc providers are leading the way – in spend & discipline; technology can only achieve so much as organization must be prepared to continually adapt &
treat data as enterprise asset above project level; data needs to be an asset not a liability.
© 2018 The MDM Institute www.the-MDM-Institute.com
9. Data Governance
Strategic Planning Assumption
Through 2018, most enterprises will struggle with enterprise DG
while they initially focus on customer, vendor, or product;
integrated enterprise-strength DG that includes E2E data lifecycle
will remain elusive as most organizations turn to lightweight
glossaries with modest Data Steward workflows to support
devolved autonomy & multi-disciplinary, bi-modal teams
During 2019-20, the majority of MDM software & service providers
will focus on productizing such lightweight DG frameworks while
mega MDM software providers struggle to link governance
process with process & data hub technologies
By 2020, mega vendor DG solutions will finally move from
“passive-aggressive" mode to “proactive" DG mode
DG *must* evolve from point products (i.e., to address
customer or product DG only) to enterprise data governance
(supporting multiple domains such as customer, product, supplier, location, price, etc.)
© 2018 The MDM Institute www.The-MDM-Institute.com
10. MDM Institute Field Reports – Data Governance
Adaptive
Agile Solutions AIM Framework
Alation Data Catalog
ASG-Intelligent Data Catalog,
metaGlossary
Ataccama Catalog
BackOffice Associates Data Stewardship
Platform
Collibra DGC
CompactBI Unified Data Governance
DATUM Information Value Mgmt
DCR DataVantage
Denodo Data Catalog
erwin DG
Global Data Excellence
Global IDs Master DG Suite
Gaine Solutions DG Hub
IBM IGC & Stewardship Center
IBI MD Center
Infogix DG Suite (Data3Sixty)
Informatica Axon, EDG, EIC, IDD, MM
Microsoft DG Console & AZURE
Catalog
Oracle DGF, Oracle Data Relationship
Governance
Orchestra Networks
Prodago
SAP MDG
SAS Data Governance
Semarchy
STG Winshuttle SAP Master Data
Governance
Teradata MDM Studio
TopQuadrant TopBraid EDG© 2018 The MDM Institute www.The-MDM-Institute.com
11. Master Data Governance
“Top 10” Technical Evaluation Criteria
1. Methodology
2. Data exploration/profiling
3. Data model, policy model
& business glossary mgmt
4. Rules/policy mgmt
5. Decision rights mgmt
6. MDM hub integration
7. Enterprise application
integration
8. Integrated metrics
9. Multi-level, role-based
security
10. E2E data lifecycle support
Understanding scope, diversity & limitations
of currently-marketed MDG offerings is tremendously challenging
© 2018 The MDM Institute www.The-MDM-Institute.com
12. MDG = People, Process & Technology
© 2018 The MDM Institute www.The-MDM-Institute.com
"A fool with a tool is still a fool.“
Grady Booch, one of original authors of Unified Modeling Language (UML) &
IBM Chief Scientist for Software Engineering
14. Field Report:
Alation Data Catalog 4.x
Strengths
Metadata catalog focused on supporting
analytics ... complementary to MDM &
DG on IT side
Import DQ/DG rules from Collibra, INFA,
et al
Customizable dashboards & alerts for
data stewards & non-technical business
users
“Trust Check” API to support guard rails
& guidelines for analysts to do work in
native app – e.g. salesforce Einstein
Strong market presence due to in-direct
sales channel – Cloudera/Hortonworks, First SF
Partners, MicroStrategy, Tableau, Teradata, Trifacta ...
Caveats
Large customer base1
after 4
years
Missing classic DG capabilities,
i.e. Data Profiling, Lineage &
Impact Analytics, Metrics,
Decision Rights Mgmt, ...
1 – Albertsons/Safeway, Allegro, American Express,
American Family Insurance, Bawag PSK, BCBS
Michigan, BMW, BNSF, Chegg, City of San Diego,
ComEd, CommonWealth Bank, CVS Pharmacy,
Daimler, Digi-Key, Dow, eBay, Expedia, Express
Scripts, Fox Networks, General Electric, Glu,
GoDaddy, Groupon, Hello Fresh, Intuit, Invoice2Go,
LifeWay, Lime, LogMeIn, MarketShare, Meijer,
Mercado Libre, Munich Re, National Grid, Neustar,
Pepsico, Pfizer, Riot Games, Sainsbury’s, Scout24,
Square, Survey Monkey, Tesco, Tesla, Weebly, Wells
Fargo, ...© 2018 The MDM Institute www.The-MDM-Institute.com
15. Field Report:
Collibra Data Governance Center 5.3 (Catalog, Business
Glossary)
Strengths
Web-based, collaborative Data
Governance platform
Includes all key DG functions– business
semantics glossary, reference data accelerator & data
stewardship manager
Configurable predefined, operating model
3D visualization data lineage
Tableau integration
Non-IT, business user focused UI incl iOS
& Windows
Embedded business metrics from
Information Asset LLC
Supported by Cognizant & other major SIs
Caveats
Modest proof points for
integration with IBM MDM &
Informatica MDM (Collibra
Connect)
Nascent impact analysis,
lineage & semantic frameworks
1 – Collibra Data Governance Center, Collibra Catalog &
Collibra Connect for metadata management
2 – Customes (~200 w/w): Aspen Re, Barry Callebaut,
COLT Technology Services, Eandis, ENTSO-E
(European Network of Transmission System
Operators for Electricity ), Flemish Government,
HSBC, ING, Janssen Research, NetApp, Novo
Nordisk, Philips, Spectrum Health, Standard &© 2018 The MDM Institute www.The-MDM-Institute.com
16. Field Report:
DATUM Information Value Management 5.7 May 2017
Strengths
Metrics-focused, SaaS-based platform for
enterprise wide “system of record”
governance & digital transformation
Integrates existing DQ & MDM tools w/
data automation, workflow & metadata
Cloud governance & enforcement
On-premise discovery & intelligence via Catalog
Discovery & Catalog functionality to
connect DG line-of-sight to business value1
Makes “data shopping” possible by making
data assets findable, understandable &
accessible via automated data discovery &
search
Content-rich, industry-specific Accelerators
Caveats
Nascent integration with
MDM hubs for proactive/
integrated DG
Integration primarily via
extracts
Growing out of historical SAP
customer base2
Nascent SI channel
1 – Link fields, rules, standards, processes, algorithms
& metrics to drive business value calculations
2 – Focused initially on manufacturing (mfg supply
chain & CPG) -i.e., Baker Hughes, BJ’s Wholesale,
Bosch, Bunge, Colgate-Palmolive, Commscope,
ConAgra, Eli Lilly, Energizer, General Mills,
Hershey’s, Under Armour, Johnson & Johnson,
Johnson Controls, Mars, Patterson Companies,
Versum, Weber, ...
© 2018 The MDM Institute www.The-MDM-Institute.com
17. Field Report:
erwin DG May 2018
Strengths
SaaS solution
Role-based UI
Integrated Business Glossary, Data
Dictionary & Catalog
Data profiling via universal data source
harvesting + lifecycle management
Data Lineage + impact analysis
Integrated via common metadata
repository w/ erwin data modeling,
enterprise architecture & business process
Caveats
Nascent integration with
MDM hubs for proactive/
integrated DG
Integration primarily via
extracts
Growing out of historical
erwin DA2
Nascent SI channel
1 – Link fields, rules, standards, processes, algorithms
& metrics to drive business value calculations
2 – xxxxx, ...
© 2018 The MDM Institute www.The-MDM-Institute.com
18. IBM Stewardship Ctr1
& Information Governance
Catalog2
Strengths
Common DG layer across Standard
& Enterprise MDM Server editions
Create diverse policies defined in
natural business language
Ultimately will integrate with
Guardium (data lifecycle),
Optim (security), et al
Ongoing integration w/BPM
(BPMExpress a.k.a. Lombardi)
IBM BAO/GBS teams available w/w
Available as hosted or on-premise
Caveats
Lack of integration w/
Reference Data asset
Big IBM stack req’d
Lack of integration with Smart
Governance Council assets
No longer a separate product,
but instead is bundled w/
MDM Server
© 2018 The MDM Institute www.The-MDM-Institute.com
1 – Formerly named IBM Master Data Policy Manager (MDPM)
2 – Formerly named IBM Business Glossary
19. Field Report:
Infogix Data3Sixty Govern (April 2017)
Strengths
Browser-based, self-service
business glossary
Policy & business rule management
RACI-style UX & personas
DQ metrics & dashboards
Built-in support for big data
aggregation/quality + UI for
SQL/R/Python
SaaS architecture & pricing models
Caveats
Nascent market presence w/
~ customers
Lacks formal accelerators for
reference data
Lack of integration with
market-leading MDM
platforms
Lack of integration with 3rd
party BPM
© 2018 The MDM Institute www.The-MDM-Institute.com
1 – Customers: xxxx
20. Field Report:
Informatica Data Governance
Strengths
Completed acquisition of Diaku & launched
Axon DG stewardship app 1Q2017
Machine learning for data discovery &
profiling
DG vision = Enterprise Data Governance1
incl
IDQ, Enterprise Information Catalog *and*
Axon for DG ... supports E2E collaboration
w/ both business & technical stakeholders
Leverages Enterprise Unified Metadata
Intelligence & Claire™ AI for risk mgmt &
compliance – e.g. BCBS 239, UID/IDMP, HIPAA,
Solvency II, GDPR + PII security & portability (e.g. GDPR,
HIPAA) scenariosCCAR
Cloud or on-premise
Caveats
No product integration w/
other INFA s/w until 4Q2017
Confusing marketing – Axon,
EDG, EIC/EDC, IDD, MM, ...
© 2018 The MDM Institute www.The-MDM-Institute.com
1 – Enterprise Data Governance (formerly Live Data Map) to unify
Cloud DQ Radara, Big Data & all other metadata-drive INFA tools
2 – Enterprise Information Catalog = metadata-driven repository
3 – As Diaku AXON
- Belgium bank, Lloyds Bank, McGraw-Hill Education, Merck US,
UK bank
- “Collaborative Enterprise Understanding” phone book of
business data
- Fast time to value for BCBS 239, IDM
- “All you can eat” pricing
- Only modest integration to MDM hubs, i.e., expose
Diaku API to INFA IDQ
4 – Post acquisition new name customers incl Merck Research
Labs, Bank of Ireland & KBC Bank
21. Field Report:
Informatica Data Director (IDD)
Strengths
Good for robust MDM administration
as data steward console
Visualization of history & data lineage
Master data dashboards for proactive
monitoring of data quality
Dynamic masking of data for security
Embeddable UI components within CRM/ERP
applications
Supports centralized architecture
with direct input of master data
Integration with MM & Business Glossary
Externalization/integration via Controls
Caveats
Easy for end users to
inadvertently downgrade
hub performance with ill-
advised queries
1 – Formerly Siperian Business Data Director
2 – Informatica Data Director (IDD) is data
steward console application for entity lifecycle
management
© 2018 The MDM Institute www.The-MDM-Institute.com
22. Field Report:
Orchestra Networks EBX5
Strengths
● Integrated MDM/MDG/RDM product –
Policies & biz rules auto-applied to MDM/RDM hub
● Master linkages between conceptual &
physical, definitions & data
● Standalone DG or integrated with MDM
● Support for 3rd
party governance operating
models
● RACI/Governance workflows OOTB –
Review/approval, issue management, etc.
● Standard ontologies/taxonomies support,
business glossary, metadata registry1
,
governance policies2
(RACI), & business rules
● OOTB performance reporting/DQ
dashboards++/benchmarking/
Caveats
● Not perceived as a data
governance pure-play
● Small presence in AP &
LA
● Modest marketing budget
● Growing SI channel
1- Based on metadata registry standards (ISO/IEC 11179)
2 – Governance policy (RACI) integration with MDM/RDM
– integration with permissions, workflow ...
3 – Dynamic models, dictionary reuse, lifecycle
management
4 – Fully integrated MDM/MDG/RDM in one product
© 2018 The MDM Institute www.The-MDM-Institute.com
23. Field Report:
SAP Master Data Governance (MDG) 9.0 May 2017
Strengths
Ready-to-use governance
applications integrated w/SAP
ERP
Predefined & extensible data
model
Prebuilt & flexible workflows
Multi-mode data replication
Integration with HANA & BOBJ
DQ/ validation assets (cleansing,
matching, & consolidation)
Verifiable audit trail
Caveats
Late-to-market with B2C customer
Lacks flexible hierarchical
management of data
Lacks master data within
transactions
Lacks identification of data pattern
profiles
Nascent cloud-enablement &
integration
Nascent big data & analytics
support for social CRM data
1 – SAP MDG-F (finance), MDM-M (materials), MDG-S (suppliers), MDG-C (customers), MDG-X (reference data)
2 – Related SAP data governance capabilities incl: Information Steward, Data Services, Information Lifecycle Mgmt, ...
© 2018 The MDM Institute ewww.The-MDM-Institute.com
24. Field Report:
Utopia
Strengths
Strong growth North America1
SAP, Open Text & ACN partnerships
Utopia Lab/COEs, Uni
Multiple entry points for sales in
migration, quality & governance
Support (via Open Text) to integrate
unstructured
Full E2E lifecycle methodology (EDLM)
– Assessment, Strategy, Roadmap
Cloud & HANA
MENA2
depth
Caveats
No longer sole preferred
partner for SAP MDM/MDG
as of 2012
1 – Captaris, Coca Cola Enterprises, ConAgra, CSL Behring,
CVS/Caremark, Dubai Aluminum, DuPont, ExxonMobil,
Grainger, Harley-Davidson, John Deere, Kellogs’s,
Kennametal, Kimberly-Clark, Kraft, Malaysia Airlines, Neptune
Orient Lines, Newmont Mining, Pertamina, RasGas, Saudi
Arabian Airlines, Suncor Energy, Tyco Electronics, Wolters
Kluwer
2 – MENA = Middle-East & North Africa
© 2018 The MDM Institute www.The-MDM-Institute.com
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26. MDM & Data Governance Summit™ Conference
Series
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“More Digital Transformation programs get their successful start at
MDM & Data Governance Summits than anywhere else”
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27. About the MDM Institute
Founded 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 & CDI
Founder & Chief Research Officer of the MDM Institute
Conference chairman for MDM & Data Governance Summit series
Founded & ran META Group’s largest research practice for 14 years
M.S. in Management Information Systems from University of Arizona
© 2018 The MDM Institute www.The-MDM-Institute.com
28. MDM Institute Advisory Council
150 organizations who receive unlimited MDM advice to key
individuals, e.g. CTOs, CIOs, & MDM project leads
Representative Members
3M
Autotrader
Bell Canada
Caterpillar
Cisco Systems
Citizens Communications
COUNTRY Financials
Educational Testing Svcs
EMC
GE Healthcare
Honeywell
Information Handling Svcs
Intuit
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McKesson
Medtronic
Microsoft
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Nationwide Insurance
Norwegian Cruise Lines
Novartis
PC Connection
Polycom
Roche Labs
Rogers Communications
Scholastic
Stryker
SunTrust
Sutter Health
W.W. Grainger
Westpac
Weyerhaeuser
Woolworths
© 2018 The MDM Institute www.The-MDM-Institute.com
Hinweis der Redaktion A Global Perspective Trusted by 3,300+ Enterprises Worldwide
Our client base includes emerging and global IT end-user, vendor, and public-sector enterprises
More than 250 Analysts/Consultants
Average 13 of years IT experience
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Former IT vendors who understand the markets
Fun Facts
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40% were directors and above
10% were at the CxO level
20% come from the Fortune 500