Why is Reference Data Governance Mission Critical? · Colgate-Palmolive Insurance Australia Group...

Why is

Reference Data Governance

Mission Critical?

Thursday October 29, 2015 11:30AM - 12:30PM EDT

Aaron ZornesChief Research OfficerThe MDM Institute

Bob DuCharme Senior Semantic Solutions Architect TopQuadrant

Agenda

Why is Reference Data Governance mission critical?

How does Reference Data Management (RDM) differ from (how is it similar to) MDM?

What are the “top 10” technical evaluation criteria?

What capabilities do enterprises see as the most important for the success of RDM?

TopQuadrant’s approach for Reference Data Governance

Q&A

© 2015 The MDM Institute The-MDM-Institute.com

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

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


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

Central role of reference data means RDM becoming “starting point” for many organizations planning MDM

Why Reference Data? Why Now?

SystemicFailure

Inconsistent Reporting

TransactionFailure

Regulatory Non-compliance


Poor reference data remains a leading cause of failuresin many enterprises – both operational & analytical errors

Reference Data CategoriesMulti-Domain

RDM Use CasesReal-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

OrganizationsEmployees

(i.e., much of HR & Finance Data)

Reference data required fortransaction processing

Semi-Private? (Shared)

Customized Public Reference Standards (e.g. customized D&B)

Shared Private Data (Finance)


RDM programs need to support multiple domains (kinds) of reference data to avoid RDM silos

Categories of Data Managed by RDM

Multi-DomainRDM Use Cases

Real-Time / Transactional RDM Use Cases

Public(External)

Private(Internal)

Semi-Private (Shared)

88%

59%

80% 12%

2%

RDM programs are not only managing public forms of reference data, but are focused on public & private in equal measure … Also interest

in using RDM to syndicate data services internally© 2015 The MDM Institute The-MDM-Institute.com

93%

48%

93%

22%

7%

2014 20142015 2015

Critique of “Traditional” Approaches for Multi-Domain Reference Data (vs. purpose-built)

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 existingdomain-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)


2H2015 RDM Market Survey Results

Survey methodology

Attitudes about RDM & current plans

Trending key features

Solution provider rankings


MYTH: There’s no interest in RDM MDM & DG Summit attendees drove content to 1/3 RDM sessions …

Mega vendors (& more) have RDM products … Most survey respondents are planning on investing in RDM

RDM is a Vital Topic for MDM Professionals

Governing Reference Data in the Cloud - Independence Blue Cross

Establishing Reference Data Governance in the Large Enterprise – DNB Bank

RDM in the Large Enterprise – Sabre

Evolving, Deploying & Governing Reference Data to Support the Agile Enterprise– NetApp

MDM, RDM, DRM & Big Data – Pieces, Puzzles & Strategy - Citizens Bank

Data as a Service (DaaS) for “Virtual MDM/RDM” - New York Life

Hands-On RDM for Corporate Finance & Beyond - United Technologies

Delivering Business Value through Reference Data Governance for Financial Applications – DeBeers

Reference Data Management on a Global Scale - Credit Suisse

Managing Reference Data as Enterprise Master Data - Royal Bank of Canada

Hierarchy Management via RDM - Bank of the West

Laying A Foundation for Enterprise MDM via RDM – Shell

A Model for Defining & Governing a Global Reference Master - Cargill


By popular demand, ~30% of MDM & Data Governance Summit case studies are centered on RDM

Partial List of 2014 Survey Respondents

Amgen CIT Fireman’s Fund Insurance Sabre

ANZ Bank Citi Mortgage Grant Thornton Spectrum Health

Aspen Re CitibankHellmann Worldwide Logistics

Standard Bank South Africa

Bank Audi Sal Citizens Financial Group IBM (CIO Office)State Farm Automobile Insurance

Bank of Montreal COLT Technology ServicesInsurance Commission of British Columbia

TD Ameritrade

Barclays Credit SuisseLouis Dreyfus Commodities

The Bank of New York Mellon

Blue Cross Blue Shield Association

Cummins Nippur Volvo AB

BPI FranceDept of Homeland Security/CBP

NJ Office of Information Technology

WellPoint

British American Tobacco DNB ASA OP-Pohjola Group World Vision

Cargill Electronic Arts Royal Mail Group Yorkshire Building Society

Carolinas Healthcare Fidelity InvestmentsRoyal Melbourne Institute of Technology

Zurich Insurance

© 2015 The MDM Institute The-MDM-Institute.comRDM is a key business initiative

in some of the world’s largest companies!

Partial List of 2015 Survey Respondents

Aflac Brown Brothers Harriman Euclid Solutions NAV Canada

ANZ BankCaterpillar FBL Financial

GroupNBTY

Arbejdsmarkedets Tillægspension (ATP)

Citizens BankGordon Food Service

Prorec Romania Association

APG Asset ManagementColgate-Palmolive

Insurance Australia Group (IAG)

Siemens Healthcare

BairdCooperators

Corporation of British Columbia (ICBC)

State Information Technology Agency (SITA) of South Africa

BearingPoint (DE)Danish Agency for Digitisation Konecranes Spencer Stuart Int’l

BearingPoint (UK) Deloitte Canada M&T Bank Westpac

EMCWorld Fuel Svcs


RDM is a key business initiative at many of the world’s largest enterprises!

How would you characterize your ROLE concerning responses given in this survey?

0% 10% 20% 30% 40% 50% 60% 70%

Enterprise IT — e.g., Enterprise Arch...

Departmental IT

Other (please specify)

Line-of-business or division IT

Corporate IT function — e.g. finance,...

Enterprise Architects & other Enterprise IT execs tend to be either the gatekeepers or the budget holders for RDM …

RDM is gaining enterprise level relevance & are often directly coupled to business users

How would you rate your SATISFACTION with your CURRENT RDM program(s)?

0% 5% 10% 15% 20% 25% 30% 35% 40% 45%

We have a program & it is

effective

We have a program — but

it needs impr...

No program in place —

but we are plan...

No program in place —

none planned

Don't know

Few-to-none believe their RDM programs are “effective”

>60% of Respondents Plan to Invest in RDM Within 2 Years

MYTH: There’s no interest in RDM MDM & DG Summit attendees drove content to 1/3 RDM sessions,

mega vendors (& more) have RDM products … Most survey respondents are planning on investing in RDM


Next year16%

In the next two years

46%

No plans19%

Don't know19%

Multi-Domain RDM Projects Have Enterprise-Appropriate S/W Budgets

MYTH: RDM is small scale, small investmentMulti-phase RDM programs are in multi-million US$ range …

Wide range in investment levels reflects where respondents are in RDM journey …

Vendors do provide “entry-level” pricing at $250K-$500K


0% 2% 4% 6% 8% 10% 12% 14% 16% 18%

< $250K

$250K - $500K

$500K - $1 million

$1 - 2 million

$2 - $4 million

$4 - $6 million

> $6 million

What TOOLS are you using today to MANAGE REFERENCE DATA?

0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50%

Custom-built solutions or spreadsheets

Other (please specify)

Existing MDM platform

ERP or other Enterprise Application

Commercial, purpose-built RDM solution

Hierarchy management tool — e.g., Ora...

Don't know

Most organizations are “living dangerously” via custom-built RDM solutions that are not robustly governed (auditable, secure, etc.)

On a scale of 1-5, how SATISFIED are you with the TOOLS you are using?

Few enterprises are satisfied with the tools in use for RDM … a direct result of inadequacies/failure of DIY solutions

0% 5% 10% 15% 20% 25% 30% 35% 40% 45%

5 - Completely satisfied

4 - Mostly satisfied

3 - Somewhat satisfied

2 - Mostly unsatisfied

1 - Not at all satisfied

Interest in RDM to Support Transactional & Operational Enterprise Applications

MYTH: RDM is an isolated programConsiderable interest in integrating enterprise applications with RDM

… Analyst inquiry load shows interest in tying analytical enterprise applications (BI/Big Data) to RDM


0% 10% 20% 30% 40% 50% 60%

General Ledger, other Financial

Transaction Processing (OLTP, OrderMgmt, etc.)

Customer Relationship Management(CRM)

Enterprise Resource Planning (ERP)

Human Resources

Interest in Multi-Domain RDM to Support Traditional CDI, PIM & Other Programs

MYTH: RDM is an isolated program, Part IIConsiderable interest in RDM to support traditional MDM initiatives

in Customer & Product (Why maintain country codes everywhere?)


0%

10%

20%

30%

40%

50%

60%

70%

80%

Product Customer Finance Location HumanResources

Other — e.g., Risk, Legal,

Asset, Authority Data

Top Business Drivers for RDM

Reporting, Regulatory Compliance, Ad Hoc Management & Proliferation of Data Sources = key business reasons for pursuing

RDM (bad reference data = bad reports)© 2015 The MDM Institute The-MDM-Institute.com

0% 20% 40% 60% 80% 100%

Inconsistent reporting

Regulatory non-compliance

High cost of decentralized/ad hocmgmt

Proliferation of data sources

Transaction failure

Systemic failure

Top IT Drivers for RDM

Developing standard metadata management to support enterprise application integration— e.g., common, standard data domain definitions

Providing common reporting dimensions to support analytics across departments/LOBs, application systems, data marts & data warehouses

Providing common RDM support services to support transactional application integration

Building IT governance infrastructure, technology & supporting organization

Reporting & reconciliation are also top IT drivers for RDM … Goal for IT teams = providing source of consistent & accurate

reference data to organization & applications


Top Evaluation Requirements for Commercial RDM Solutions (Ranked Order)

“Top 10 RDM platform evaluation criteria”per MDM Institute Customer Advisory Council

Rank

1 Ability to map reference data — e.g., between multiple domains, between time periods or versions of reference data

2 Management of reference data sets — e.g., implementing governance workflows

3 Connectivity & integration with other enterprise applications or MDM platforms

4 Hierarchy management over sets of reference data

5 Architecture/performance — e.g., enterprise scalable, Cloud-based deployment/licensing option

6 Versioning support — e.g., support for four main version types: as-of, effective, current, proposed/hypothetical

7 Security & access control — e.g., fine grained/field level permissioning for create, read, update, & delete of reference data

8 Administration of reference data types — e.g., handling public, semi-private & private

9 E2E lifecycle management — e.g., onboarding, managing, retiring, redacting reference data

10 Import & export


Which of the below are among your TOP FIVE TECHNICAL EVALUATION CRITERIA for COMMERCIAL RDM solutions?

0% 10% 20% 30% 40% 50% 60% 70% 80% 90%

Import & export

E2E lifecycle management — e.g., onbo...

Administration of reference data type...

Security & access control — e.g., fin...

Versioning support — e.g., support fo...

Architecture/performance — e.g., ente...

Hierarchy management over sets of ref...

Connectivity & integration with other...

Management of reference data sets — e...

Ability to map reference data — e.g.,...

All evaluation criteria are essential … some are more desired than others


Which TYPE OF SOFTWARE SOLUTION are likely purchased to support RDM program?

~35% of enterprises looking at commercial RDM, yet a high number looking at alternatives …

This is alarming as tools such as Metadata Repositories show high historical failure rates as RDM solutions

0%

5%

10%

15%

20%

25%

30%

35%

40%

Metadatarepository

CommercialRDM solution

OperationalMDM hub

Don't know Businessglossary tool

None, we willcustom build

None, wealready haveall the tools


Which RDM SOFTWARE SOLUTIONS are most likely to be on your SHORT LIST?

Multiple vendors are shortlisted for RDM (mega vendors *and* best-of-breed) … BOB has prices & faster time-to-value, etc. vs. mega vendors

… also “incumbent” does not mean best fit


0% 10% 20% 30% 40% 50% 60%

Best-of-Breed Multi-Domain RDM

Mega Vendor: IBM

Mega Vendor: Informatica

Mega Vendor: MSFT

Mega Vendor: ORCL

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

Semantic-based RDM best suited for agile Reference Data Governance

50%+ of successful MDM implementations happen on non-mega vendor solutions … RDM is tracking same

RDM is sufficiently independent from tradt’l MDM (CDI, PIM) that 3rd party RDM as adjunct is valid strategy


RDM becoming “entry point” for many organizations planning MDM & DG … BUY DON’T BUILD RDM …

Seek out providers with a flexible RDM solution

© Copyright 2015 TopQuadrant Inc. Slide 28© Copyright 2015 TopQuadrant Inc. Slide 28

About TopQuadrant

Focus: Founded in 2001 to harness

emerging technology to build practical but innovative business applications

Strong commitment to standards-

based approaches to data semantics

Team: Founder-led management team

Have over 60 years of combined experience in managing innovative technology from concept to revenue

Experience in product development, consultative selling, solution delivery at IBM and other companies

Exceptional engineers

Semantic Information

Management

TopBraid Product Family

Governance & Provisioning of Reference Data

Management of Enterprise

Metadata & Business Glossaries

Semantic Data Virtualization Semantic Application Server

www.topquadrant.com

[email protected]

http://www.topquadrant.com/

mailto:[email protected]


RDM - Capabilities Most Critical to SuccessResults from 2H2015 survey

The top rated capabilities put emphasis on user directed, agile governance and maintaining metadata about reference data, flexible modeling and

centralized verification of use and consistency across reference data


A flexible web-based solution for governing and provisioning reference data in the enterprise:

Governance

Provisioning

Comprehensive metadata

Enrichment

Powered by standards-based graph technologies, TopBraid™ RDM offers data stewards and other business users the flexibility and direct editorial access to extend, connect, enrich and distribute standard datasets.


From 2H2015 survey, these RDM capabilities were identified as key to success

1. Ability to verify that enterprise systems are

using the correct reference data – 63%


Ability to Verify

"LACK of which of the following CAPABILITIES would most negatively impact success of your RDM PROGRAM?"

63% of respondents: "Ability to verify that enterprise systems are using the correct reference data."

Sample System Compliance Report against Country Codes



1. Ability to verify that enterprise systems are using the correct reference data

– 63%

2. Ability to maintain governance information about a

reference data set (e.g. where sourced from, where

used, how frequently it changes, who is responsible for

it) – 60%

© Copyright 2015 TopQuadrant Inc. Slide 34

Confusion, wasted resources and errors result when users can’t understand the meaning of codes and how they are used

Are these IATA codes, FAA codes or ICAO codes? How do I find out? Do we subscribe to these codes?

Our FlightTracker application needs airport codes for route planning and notifications.

Business Users Need Metadata

I think this is the right dataset.

Challenge:




– 63%

2. Ability to maintain governance information about a reference data set (e.g.

where sourced from, where used, how frequently it changes, who is

responsible for it) – 60%

3. Automated consistency maintenance across reference

data (e.g. through enforcement of data quality rules for

reference data) – 60%

© Copyright 2015 TopQuadrant Inc. Slide 36

Data quality is mission-critical but easily compromised

Brian in IT thought he

could, but it would be a

project.

Can’t we

prevent it?

Our product codes should always

have 7 or 8 characters … but

anyone can enter anything.

Users Need to Actively Ensure Data Quality

Challenge:


Data Steward can easily add custom data quality constraints without programming

Results are immediately available

Solution:TopBraid RDM™ Users Create Quality Constraints


Rule violation warning prevents errors on manual data entry

Violations warning report displays automated data import errors

Benefit: TopBraid RDM™ ensures data quality. Enforces rules easily created by users.

Solution:TopBraid RDM™ Enforces Quality Constraints


RDM Dashboard Provides Data Consistency Metrics




– 63%




3. Automated consistency maintenance across reference data (e.g. through

enforcement of data quality rules for reference data) – 60%

4. Semantic integration across business concepts,

reference data & technical metadata – 52%


Integrating Enterprise Ontologies & Reference Data

42

subset in support of reference data

Enterprise Ontology

instances of Market Identifier Code

Reference Data




– 63%




3. Automated consistency maintenance across reference data (e.g. through

enforcement of data quality rules for reference data) – 60%

4. Semantic integration across business concepts, reference data &

technical metadata – 52%

5. Capture of & access to the meaning (semantics) of reference data – 50%


Making Reference Data Meaningful

TopBraid RDM enables more meaningful and effective use of reference data by capturing and managing semantic metadata about reference data and also about reference datasets


Making Reference Data Meaningful


MDM Institute Field Report (Oct 2015):

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; SaaSavailable through AmazonMarketplace

3 – Non-RDM customers using TopBraid for business glossaries & other aspects of metadata mgmt 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


The Semantic Technologies Solution

47

Thing Thing

relationship

• Based on an integrated set of W3C standards

… that expose the meaning (semantics) of distributed data in a technology-independent representation (RDF)

…and use SPARQL (semantic query standard) to run federated queries over the distributed meta-data/data.



Bottom Line on TopBraid RDM

“A self-service reference data governance hub for subject matter experts that provides ‘full spectrum’ reference data to comprehensively support an enterprise’s IT portfolio”

“Agile-style approach to business data modeling” makes it an “excellent choice as a flexible and low cost (yet fast time to value) web-based solution for reference data governance”

Its features “promote business user and data steward self-service that requires only modest initial IT support”

“Purpose-built reference data management solution rather than providing capabilities derived from an operational or consolidation MDM hub”

“Organizations evaluating reference data solutions where user-directed, agile governance of reference data is the key use case should consider the TopBraid RDM solution – independent of other MDM investments”



TopQuadrant

“An Enterprise Information Management (EIM) company that helps organizations govern its information irrespective of its structure, origin or location”

“Discovered that semantic web standards are especially well suited to providing integrated, next–generation information management and data governance solutions”

“TopQuadrant’s products… support reference data governance, business glossaries, metadata management, taxonomy and ontology management.”

Three founders “met while working at IBM... deep experience in information technology with over 60 years of combined experience in managing technology from concept to revenue... historical strong commitment to standards-based approaches to data semantics, with the mission of making enterprise information meaningful.”


TopBraid RDM™ — What’s Different?

Maintain comprehensive metadata. Data about reference data, including usage by systems and RACI matrix with notifications

Add and change fields to enhance reference data. Connect datasets

Verify and report on compliance of enterprise systems with reference data

Maintain reference data consistency

Easily create web services for distributionof reference data – without programming

Putting this power in the hands of data stewards and other business and technical users of RDM solutions is key to the success of reference data management and governance.

1

2

3

4

5

TopBraid RDM enables organizations to:

Integrated environment

Reference Data

Business and Technical

Metadata, Glossaries

Manage structured and

unstructured data


Consistent Results

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


Contact vendors & explore their solution … Unlike CDI & PIM, RDM can be tested

with real business data & users with very little setup

http://www.referencedatadigest.com/

http://www.linkedin.com/groups?home=&gid=1637247

http://www.slideshare.net/azornes/rdm-field-reports-aaron-zornes-new-york-city-october-2013-v4-print

http://www.tcdii.com/ny2011attendeesprelim.html

http://www.tcdii.com/PDF/2014 RDM Survey - Executive Summary - FINAL.pdf

http://www.orchestranetworks.com/rdm/

http://www.dama.org/i4a/pages/?pageid=3364

http://www.tcdii.com/events/cdimdmsummitseries.html

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


About TopQuadrant

Focus: Founded in 2001 to harness

emerging technology to build practical but innovative business applications

Strong commitment to standards-

based approaches to data semantics

Team: Founder-led management team

Have over 60 years of combined experience in managing innovative technology from concept to revenue

Experience in product development, consultative selling, solution delivery at IBM and other companies

Exceptional engineers

Semantic Information

Management

TopBraid Product Family

Governance & Provisioning of Reference Data

Management of Enterprise

Metadata & Business Glossaries

Semantic Data Virtualization Semantic Application Server

www.topquadrant.com

[email protected]

http://www.topquadrant.com/

mailto:[email protected]


[email protected]

Thank you!

Why is Reference Data Governance Mission Critical? · Colgate-Palmolive Insurance Australia Group...

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