SlideShare una empresa de Scribd logo
1 de 26
Descargar para leer sin conexión
P / 1
Information is at
the Heart of ALL
Architectures
B C S D A M A “ I N F O R M A T I O N T H E
O R G A N I S A T I O N A L E N A B L E R ”
J U N E 1 8 T H 2 0 1 5 – L O N D O N
C H R I S T O P H E R B R A D L E Y
P / 2
Christopher Bradley
Blog: Information Management, Life & Petrol
http://infomanagementlifeandpetrol.blogspot.com
@InfoRacer
uk.linkedin.com/in/christophermichaelbradley/
Christopher Bradley
Information Management Strategist
T: +44 7973 184475
chris@chrismb.co.uk
P / 3
Christopher Bradley
Chris has 34 years of Information Management
experience & is a leading Information Management
strategy advisor.
In the Information Management field, Chris works with
prominent organizations including HSBC, Celgene, GSK,
Pfizer, Icon, Quintiles, Total, Barclays, ANZ, GSK, Shell, BP,
Statoil, Riyad Bank & Aramco. He addresses challenges
faced by large organisations in the areas of Data
Governance, Master Data Management, Information
Management Strategy, Data Quality, Metadata
Management and Business Intelligence.
He is a Director of DAMA- I, holds the CDMP Master
certification, is an examiner for CDMP, a Fellow of the
Chartered Institute of Management Consulting (now IC) a
member of the MPO, and SME Director of the DM Board.
A recognised thought-leader in Information Management
Chris is the author of numerous papers, books, including
sections of DMBoK 2.0, a columnist, a frequent contributor
to industry publications and member of several IM
standards authorities.
He leads an experts channel on the influential
BeyeNETWORK, is a sought after speaker at major
international conferences, and is the co-author of “Data
Modelling For The Business – A Handbook for aligning the
business with IT using high-level data models”. He also
blogs frequently on Information Management (and
motorsport).
P / 4
Recent Presentations
DAMA UK Webinar: June 2015; “Data Modelling” Disciplines of the DAMA DMBoK”
PRISME Pharmaceutical Congress: May 2015, Basel, CH; “Building & exploiting a Pharmaceutical
Industry consensus data model”
MDM DG Europe (IRM): May 2015, London; “CDMP Examination Preparation” & “Data Governance
By Stealth?, Can you ‘sell’ Data Governance if the stakeholders don’t get it?”
DAMA UK Webinar: April 2015; “Master & Reference Data Management” Disciplines of the DMBoK”
Enterprise Data World: April 2015, Washington DC USA; “Data Modelling For The Business” and
“Evaluating Information Management Tools”
DAMA UK Webinar: February 2015; “An Introduction to the Information Disciplines of the DMBoK”
Dataversity Webinar: February 2015; “How to successfully introduce Master & Reference data
management”
Petroleum Information Management Summit 2015: February 2015, Berlin DE,
“How to succeed with MDM and Data Governance”
Enterprise Data & Business Intelligence 2014: (IRM), November 2014, London, UK “Data Modelling 101
Workshop”
Enterprise Data World: (DataVersity), May 2014, Austin, Texas, “MDM Architectures & How to identify
the right Subject Area & tooling for your MDM strategy”
E&P Information Management Dubai: (DMBoard),17-19 March 2014, Dubai, UAE “Master Data
Management Fundamentals, Architectures & Identify the starting Data Subject Areas”
DAMA Australia: (DAMA-A),18-21 November 2013, Melbourne, Australia “DAMA DMBoK 2.0”,
“Information Management Fundamentals” 1 day workshop”
Data Management & Information Quality Europe:
(IRM Conferences), 4-6 November 2013, London, UK
“Data Modelling Fundamentals” ½ day workshop:
“Myths, Fairy Tales & The Single View” Seminar
“Imaginative Innovation - A Look to the Future” DAMA Panel Discussion
IPL / Embarcadero series: June 2013, London, UK, “Implementing Effective Data Governance”
Riyadh Information Exchange: May 2013, Riyadh, Saudi Arabia,
“Big Data – What’s the big fuss?”
Enterprise Data World: (Wilshire Conferences), May 2013, San Diego, USA, “Data and Process
Blueprinting – A practical approach for rapidly optimising Information Assets”
Data Governance & MDM Europe: (IRM Conferences), April 2013, London, “Selecting the Optimum
Business approach for MDM success…. Case study with Statoil”
E&P Information Management: (SMI Conference), February 2013, London,
“Case Study, Using Data Virtualisation for Real Time BI & Analytics”
E&P Data Governance: (DMBoard / DG Events), January 2013, Marrakech, Morocco, “Establishing a
successful Data Governance program”
Big Data 2: (Whitehall), December 2012, London, “The Pillars of successful knowledge
management”
Financial Information Management Association (FIMA): (WBR), November 2012, London; “Data
Strategy as a Business Enabler”
Data Modeling Zone: (Technics), November 2012, Baltimore USA
“Data Modelling for the business”
Data Management & Information Quality Europe: (IRM), November 2012, London; “All you need to
know to prepare for DAMA CDMP professional certification”
ECIM Exploration & Production: September 2012, Haugesund, Norway:
“Enhancing communication through the use of industry standard models; case study in E&P
using WITSML”
Preparing the Business for MDM success: Threadneedles Executive breakfast briefing series,
July 2012, London
Big Data – What’s the big fuss?: (Whitehall), Big Data & Analytics, June 2012, London,
Enterprise Data World International: (DAMA / Wilshire), May 2012, Atlanta GA,
“A Model Driven Data Governance Framework For MDM - Statoil Case Study”
“When Two Worlds Collide – Data and Process Architecture Synergies” (rated best workshop in
conference); “Petrochemical Information Management utilising PPDM in an Enterprise
Information Architecture”
Data Governance & MDM Europe: (DAMA / IRM), April 2012, London,
“A Model Driven Data Governance Framework For MDM - Statoil Case Study”
AAPG Exploration & Production Data Management: April 2012, Dead Sea Jordan; “A Process
For Introducing Data Governance into Large Enterprises”
PWC & Iron Mountain Corporate Information Management: March 2012, Madrid; “Information
Management & Regulatory Compliance”
DAMA Scandinavia: March 2012, Stockholm,
“Reducing Complexity in Information Management” (rated best presentation in conference)
Ovum IT Governance & Planning: March 2012, London;
“Data Governance – An Essential Part of IT Governance”
American Express Global Technology Conference: November 2011, UK,
“All An Enterprise Architect Needs To Know About Information Management”
FIMA Europe (Financial Information Management):, November 2011, London; “Confronting
The Complexities Of Financial Regulation With A Customer Centric Approach; Applying a
Master Data Management And Data Governance Process In Clydesdale Bank “
Data Management & Information Quality Europe: (DAMA / IRM), November 2011, London,
“Assessing & Improving Information Management Effectiveness – Cambridge University Press
Case Study”; “Too Good To Be True? – The Truth About Open Source BI”
ECIM Exploration & Production: September 12th 14th 2011, Haugesund, Norway: “The Role Of
Data Virtualisation In Your EIM Strategy”
Enterprise Data World International: (DAMA / Wilshire), April 2011, Chicago IL; “How Do You
Want Yours Served? – The Role Of Data Virtualisation And Open Source BI”
Data Governance & MDM Europe: (DAMA / IRM), March 2011, London,
“Clinical Information Data Governance”
Data Management & Information Management Europe: (DAMA / IRM), November 2010,
London,
“How Do You Get A Business Person To Read A Data Model?
DAMA Scandinavia: October 26th-27th 2010, Stockholm,
“Incorporating ERP Systems Into Your Overall Models & Information Architecture” (rated best
presentation in conference)
BPM Europe: (IRM), September 27th – 29th 2010, London,
“Learning to Love BPMN 2.0”
IPL / Composite Information Management in Pharmaceuticals: September 15th 2010, London,
“Clinical Information Management – Are We The Cobblers Children?”
ECIM Exploration & Production: September 13th 15th 2010, Haugesund, Norway: “Information
Challenges and Solutions” (rated best presentation in conference)
Enterprise Architecture Europe: (IRM), June 16th – 18th 2010, London: ½ day workshop; “The
Evolution of Enterprise Data Modelling”
Recent Publications
Book: “Data Modelling For The Business – A Handbook for aligning the business with IT using high-level data models”; Technics
Publishing;
ISBN 978-0-9771400-7-7; http://www.amazon.com/Data-Modeling-Business-Handbook-High-Level
White Paper: “Information is at the heart of ALL Architecture disciplines”,; March 2014
Article: The Bookbinder, the Librarian & a Data Governance story ; July 2013
Article: Data Governance is about Hearts and Minds, not Technology January 2013
White Paper: “The fundamentals of Information Management”, January 2013
White Paper: “Knowledge Management – From justification to delivery”, December 2012
Article: “Chief INFORMATION Officer? Not really” Article, November 2012
White Paper: “Running a successful Knowledge Management Practice” November 2012
White Paper: “Big Data Projects are not one man shows” June 2012
Article: “IPL & Statoil’s innovative approach to Master Data Management in Statoil”, Oil IT Journal, May 2012
White Paper: “Data Modelling is NOT just for DBMS’s” April 2012
Article: “Data Governance in the Financial Services Sector” FSTech Magazine, April 2012
Article: “Data Governance, an essential component of IT Governance" March 2012
Article: “Leveraging a Model Driven approach to Master Data Management in Statoil”, Oil IT Journal, February 2012
Article: “How Data Virtualization Helps Data Integration Strategies” BeyeNETWORK (December 2011)
Article: “Approaches & Selection Criteria For organizations approaching data integration programmes” TechTarget (November
2011)
Article: Big Data – Same Problems? BeyeNETWORK and TechTarget. (July 2011)
Article “10 easy steps to evaluate Data Modelling tools” Information Management, (March 2010)
Article “How Do You Want Your Data Served?” Conspectus Magazine (February 2010)
Article “How do you want yours served (data that is)” (BeyeNETWORK January 2010)
Article “Seven deadly sins of data modelling” (BeyeNETWORK October 2009)
Article “Data Modelling is NOT just for DBMS’s” Part 1 BeyeNETWORK July 2009 and Part 2 BeyeNETWORK August 2009
Web Channel: BeyeNETWORK “Chris Bradley Expert Channel” Information Asset Management
http://www.b-eye-network.co.uk/channels/1554/
Article: “Preventing a Data Disaster” February 2009, Database Marketing Magazine
P / 7
Data Drives the Business
– Make sure it’s Correct
In today’s information age, data drives
key business decisions.
Executives ask questions such as:
_ How many customers do I have?
_ What is total revenue by region for last fiscal year?
_ Which products drove the most revenue this
quarter?
Behind the answers to those questions
lies a data model:
_Documenting the source and structure
of data
› What database(s) store customer information
› How are these databases structured to store
customer information
_Defining key business terms
› What is a product? e.g. Finished goods only? Raw
materials?
_Regulating business rules
› Can a customer have more than one account?
“Data errors can cost a company millions of
dollars, alienate customers, suppliers and
business partners, and make implementing
new strategies difficult or even impossible.
The very existence of an organisation can
be threatened by poor data”
Joe Peppard – European School of Management
and Technology
“Ultimately, poor data quality
is like dirt on the windshield.
You may be able to drive for
a long time with slowly
degrading vision, but at some
point you either have to stop
and clear the windshield or
risk everything”
Ken Orr, The Cutter
Consortium
P / 8
In many case Data IS the
Business – Make sure it’s Correct
In many cases, data IS the core business asset.
vs
P / 9
Information in Context
T H E R E ’ S M O R E T O D A T A T H A N M E E T S T H E E Y E
I’d like a
report showing
all of our
customers
SUPPORT
ENGINEER
A person’s not a
customer if they
don’t have an
active
maintenance
account.
SALES
A customer is
someone who
wants to buy
our product.
SYBASE
DB2
ORACLE
SQL SERVER
MS
SQL AZURE
INFORMIX
TERADATA
SAP
DBA
Which customer
database do you
want me to pull
this from? We have
25.
BUSINESS
EXECUTIVE
DATA
ARCHITECT
And, by the way, the
databases all store
customer information
in a different format.
“CUST_NM” on DB2,
“cust_last_nm” on
Oracle, etc. It’s a
mess.
ACCOUNTING
A customer is
someone who
owns our
product.
HUMAN
RESOURCES
My customers
are internal
employees.
P / 10
BUSINESS
ARCHITECTURE
Business Objectives
& Goals
Motivations &
Metrics
Functions, Roles,
Departments
BUSINESS PROCESS
ARCHITECTURE
Overall Value Chain
High-Level Business
Processes
Workflow Models
Architecture Disciplines
WHAT we are trying to accomplish
WHY is this important (“so what”)
HOW do we measure this?
WHO … what roles and structures
are required to undertake this?
The company is
undertaking a radical
approach to enhance
Customer experience,
service and satisfaction
by providing seamless
multi-channel
Customer access to all
core services
The sequence of steps carried
out by the actors involved in the
process
The process or activities by
which a company adds value to
an article or service, including
production, marketing, and the
provision of after-sales service.
The major high level business
processes. Not yet
decomposed into sub-processes
or workflow
P / 11
Architecture Disciplines
Business systems (manual or IT)
Cross reference of Business
Processes to Systems
A business service that is triggered in
order to complete a business event
How an actor completes a
process step by interacting with a
system to obtain a service
The things of significance about
which the organization wishes to
know or hold, together with the
facts about them.
The organization may maintain
records of these and processes and
systems will act on them.
APPLICATION / SYSTEMS
ARCHITECTURE
Systems within
Scope
High-Level Mapping
Business Services
Presentation Services
(use cases)
INFORMATION
ARCHITECTURE
Enterprise Data
Model
Conceptual Data
Models
Logical Data Models
Physical Data
Models & DB’s
P / 12
BUSINESS
ARCHITECTURE
Business Objectives
& Goals
Motivations &
Metrics
Functions, Roles,
Departments
BUSINESS PROCESS
ARCHITECTURE
Overall Value Chain
High-Level Business
Processes
Workflow Models
Architecture Disciplines
The company is
undertaking a radical
approach to enhance
Customer experience,
service and satisfaction
by providing seamless
multi-channel
Customer access to all
core services
NOUN:
Customer
VERB : QUALIFIER: NOUN:
QUALIFIER
Credit Check Customer
P / 13
Architecture Disciplines
APPLICATION / SYSTEMS
ARCHITECTURE
Systems within
Scope
High-Level Mapping
Business Services
Presentation Services
(use cases)
INFORMATION
ARCHITECTURE
Enterprise Data
Model
Conceptual Data
Models
Logical Data Models
Physical Data
Models & DB’s
VERB : QUALIFIER: NOUN:
QUALIFIER
Credit Check Customer
NOUN :
Customer
ACTOR : VERB : QUALIFIER:
NOUN:
Customer inserts card
P / 14
BUSINESS
ARCHITECTURE
Business Objectives
& Goals
Motivations &
Metrics
Functions, Roles,
Departments
INFORMATION
ARCHITECTURE
Enterprise Data
Model
Conceptual Data
Models
Logical Data Models
Physical Data
Models
PROCESS
ARCHITECTURE
Overall Value Chain
High-Level Business
Processes
Workflow Models
APPLICATION / SYSTEMS
ARCHITECTURE
Systems within
Scope
High-Level Mapping
Business Services
Presentation Services
(use cases)
The company is undertaking
a radical approach to
enhance Customer
experience, service and
satisfaction by providing
seamless multi-channel
Customer access to all core
services
BUSINESS OBJECTIVES INFORMATION SERVICES BUSINESS SERVICES
PRESENTATION SERVICES
BUSINESS PROCESS
Information Is At The HEART Of
ALL Architecture Disciplines
P / 15
What Is Data Modelling?
P / 16
P / 17
Entities are the “Nouns”
of the Organization
_ Who? Employee, Customer, Student, Vendor
_ What? Product, Service, Raw Material, Course
_ Where? Location, Address, Country
_ When? Fiscal Period, Year, Time, Semester
_ Why? Transaction, Inquiry, Order, Claim, Credit, Debit
_ How? Invoice, Contract, Agreement, Document
P / 18
Is the “Data Asset” really different?
OIL
MONEY
BLOOD
PEOPLE
PROPERTY
MATERIALS
IP
DATA
P / 19
Is the “Data Asset” really different?
COPYABLE
OIL NO
MONEY NO
BLOOD NO
PEOPLE NO
PROPERTY NO
MATERIALS NO
IP NO *
DATA YES
P / 20
Is the “Data Asset” really different?
COPYABLE “USE”
DEPLETES IT
OIL NO YES
MONEY NO YES
BLOOD NO YES
PEOPLE NO NO
PROPERTY NO PART
MATERIALS NO YES
IP NO * NO
DATA YES NO
P / 21
Is the “Data Asset” really different?
COPYABLE “USE”
DEPLETES IT
ASCRIBE
££ TO IT
OIL NO YES YES
MONEY NO YES YES
BLOOD NO YES PART
PEOPLE NO NO NO
PROPERTY NO PART YES
MATERIALS NO YES YES
IP NO * NO PART
DATA YES NO NO
P / 22
Is the “Data Asset” really different?
COPYABLE “USE”
DEPLETES IT
ASCRIBE
££ TO IT
REAL or
ABSTRACT
OIL NO YES YES REAL
MONEY NO YES YES REAL *
BLOOD NO YES PART REAL
PEOPLE NO NO NO REAL
PROPERTY NO PART YES REAL
MATERIALS NO YES YES REAL
IP NO * NO PART NOT
DATA YES NO NO NOT
P / 23
Is the “Data Asset” really different?
COPYABLE “USE”
DEPLETES IT
ASCRIBE
££ TO IT
REAL or
ABSTRACT
PROCESS
TO YIELD
VALUE
OIL NO YES YES REAL YES
MONEY NO YES YES REAL * NO
BLOOD NO YES PART REAL YES
PEOPLE NO NO NO REAL YES
PROPERTY NO PART YES REAL NO
MATERIALS NO YES YES REAL PART
IP NO * NO PART NOT PART
DATA YES NO NO NOT YES
P / 24
Is the “Data Asset” really different?
COPYABLE “USE”
DEPLETES IT
ASCRIBE
££ TO IT
REAL or
ABSTRACT
PROCESS
TO YIELD
VALUE
OIL NO YES YES REAL YES
MONEY NO YES YES REAL * NO
BLOOD NO YES PART REAL YES
PEOPLE NO NO NO REAL YES
PROPERTY NO PART YES REAL NO
MATERIALS NO YES YES REAL PART
IP NO * NO PART NOT PART
DATA YES NO NO NOT YES
P / 25
Summary
_ Information is different to most
other assets we encounter
_ All of the business depends on
information to a greater or lesser
degree
_ The quality & management of
Information can affect the very
existence of an organisation
_Ignore information management
at your peril
P / 26
@inforacer
uk.linkedin.com/in/christophermichaelbradley/
+44 7973 184475
infomanagementlifeandpetrol.blogspot.com
Chris Bradley
Information Management Strategist
chris@chrismb.co.ukE

Más contenido relacionado

La actualidad más candente

Slides: Knowledge Graphs vs. Property Graphs
Slides: Knowledge Graphs vs. Property GraphsSlides: Knowledge Graphs vs. Property Graphs
Slides: Knowledge Graphs vs. Property GraphsDATAVERSITY
 
RWDG Slides: Building Data Governance Through Data Stewardship
RWDG Slides: Building Data Governance Through Data StewardshipRWDG Slides: Building Data Governance Through Data Stewardship
RWDG Slides: Building Data Governance Through Data StewardshipDATAVERSITY
 
Everybody is a Data Steward – Get Over It!
Everybody is a Data Steward – Get Over It!Everybody is a Data Steward – Get Over It!
Everybody is a Data Steward – Get Over It!DATAVERSITY
 
RWDG Slides: Master Data Governance in Action
RWDG Slides: Master Data Governance in ActionRWDG Slides: Master Data Governance in Action
RWDG Slides: Master Data Governance in ActionDATAVERSITY
 
Trends in Enterprise Advanced Analytics
Trends in Enterprise Advanced AnalyticsTrends in Enterprise Advanced Analytics
Trends in Enterprise Advanced AnalyticsDATAVERSITY
 
Big data as a gateway to knowledge management
Big data as a gateway to knowledge managementBig data as a gateway to knowledge management
Big data as a gateway to knowledge managementDATAVERSITY
 
Data Management vs Data Strategy
Data Management vs Data StrategyData Management vs Data Strategy
Data Management vs Data StrategyDATAVERSITY
 
Getting Started with Data Stewardship
Getting Started with Data StewardshipGetting Started with Data Stewardship
Getting Started with Data StewardshipDATAVERSITY
 
Data-Ed Online Webinar: Data Architecture Requirements
Data-Ed Online Webinar: Data Architecture RequirementsData-Ed Online Webinar: Data Architecture Requirements
Data-Ed Online Webinar: Data Architecture RequirementsDATAVERSITY
 
RWDG Slides: Data Governance versus Information Governance
RWDG Slides: Data Governance versus Information GovernanceRWDG Slides: Data Governance versus Information Governance
RWDG Slides: Data Governance versus Information GovernanceDATAVERSITY
 
Data Quality Success Stories
Data Quality Success StoriesData Quality Success Stories
Data Quality Success StoriesDATAVERSITY
 
The Why, When, and How of NoSQL - A Practical Approach
The Why, When, and How of NoSQL - A Practical ApproachThe Why, When, and How of NoSQL - A Practical Approach
The Why, When, and How of NoSQL - A Practical ApproachDATAVERSITY
 
Data Governance vs. Information Governance
Data Governance vs. Information GovernanceData Governance vs. Information Governance
Data Governance vs. Information GovernanceDATAVERSITY
 
2016 Building Bridges - Need for a Data Management Strategy
2016 Building Bridges - Need for a Data Management Strategy2016 Building Bridges - Need for a Data Management Strategy
2016 Building Bridges - Need for a Data Management StrategyBrad Bronsch
 
Introduction to Harnessing Big Data
Introduction to Harnessing Big DataIntroduction to Harnessing Big Data
Introduction to Harnessing Big DataPaul Barsch
 
RWDG Slides: Data Architecture Is Data Governance
RWDG Slides: Data Architecture Is Data GovernanceRWDG Slides: Data Architecture Is Data Governance
RWDG Slides: Data Architecture Is Data GovernanceDATAVERSITY
 
DataEd Online: Unlock Business Value through Data Governance
DataEd Online: Unlock Business Value through Data GovernanceDataEd Online: Unlock Business Value through Data Governance
DataEd Online: Unlock Business Value through Data GovernanceDATAVERSITY
 
DataEd Slides: Growing Practical Data Governance Programs
DataEd Slides: Growing Practical Data Governance ProgramsDataEd Slides: Growing Practical Data Governance Programs
DataEd Slides: Growing Practical Data Governance ProgramsDATAVERSITY
 
Big Challenges in Data Modeling: Modeling Metadata
Big Challenges in Data Modeling: Modeling MetadataBig Challenges in Data Modeling: Modeling Metadata
Big Challenges in Data Modeling: Modeling MetadataDATAVERSITY
 
RWDG Slides: What is a Data Steward to do?
RWDG Slides: What is a Data Steward to do?RWDG Slides: What is a Data Steward to do?
RWDG Slides: What is a Data Steward to do?DATAVERSITY
 

La actualidad más candente (20)

Slides: Knowledge Graphs vs. Property Graphs
Slides: Knowledge Graphs vs. Property GraphsSlides: Knowledge Graphs vs. Property Graphs
Slides: Knowledge Graphs vs. Property Graphs
 
RWDG Slides: Building Data Governance Through Data Stewardship
RWDG Slides: Building Data Governance Through Data StewardshipRWDG Slides: Building Data Governance Through Data Stewardship
RWDG Slides: Building Data Governance Through Data Stewardship
 
Everybody is a Data Steward – Get Over It!
Everybody is a Data Steward – Get Over It!Everybody is a Data Steward – Get Over It!
Everybody is a Data Steward – Get Over It!
 
RWDG Slides: Master Data Governance in Action
RWDG Slides: Master Data Governance in ActionRWDG Slides: Master Data Governance in Action
RWDG Slides: Master Data Governance in Action
 
Trends in Enterprise Advanced Analytics
Trends in Enterprise Advanced AnalyticsTrends in Enterprise Advanced Analytics
Trends in Enterprise Advanced Analytics
 
Big data as a gateway to knowledge management
Big data as a gateway to knowledge managementBig data as a gateway to knowledge management
Big data as a gateway to knowledge management
 
Data Management vs Data Strategy
Data Management vs Data StrategyData Management vs Data Strategy
Data Management vs Data Strategy
 
Getting Started with Data Stewardship
Getting Started with Data StewardshipGetting Started with Data Stewardship
Getting Started with Data Stewardship
 
Data-Ed Online Webinar: Data Architecture Requirements
Data-Ed Online Webinar: Data Architecture RequirementsData-Ed Online Webinar: Data Architecture Requirements
Data-Ed Online Webinar: Data Architecture Requirements
 
RWDG Slides: Data Governance versus Information Governance
RWDG Slides: Data Governance versus Information GovernanceRWDG Slides: Data Governance versus Information Governance
RWDG Slides: Data Governance versus Information Governance
 
Data Quality Success Stories
Data Quality Success StoriesData Quality Success Stories
Data Quality Success Stories
 
The Why, When, and How of NoSQL - A Practical Approach
The Why, When, and How of NoSQL - A Practical ApproachThe Why, When, and How of NoSQL - A Practical Approach
The Why, When, and How of NoSQL - A Practical Approach
 
Data Governance vs. Information Governance
Data Governance vs. Information GovernanceData Governance vs. Information Governance
Data Governance vs. Information Governance
 
2016 Building Bridges - Need for a Data Management Strategy
2016 Building Bridges - Need for a Data Management Strategy2016 Building Bridges - Need for a Data Management Strategy
2016 Building Bridges - Need for a Data Management Strategy
 
Introduction to Harnessing Big Data
Introduction to Harnessing Big DataIntroduction to Harnessing Big Data
Introduction to Harnessing Big Data
 
RWDG Slides: Data Architecture Is Data Governance
RWDG Slides: Data Architecture Is Data GovernanceRWDG Slides: Data Architecture Is Data Governance
RWDG Slides: Data Architecture Is Data Governance
 
DataEd Online: Unlock Business Value through Data Governance
DataEd Online: Unlock Business Value through Data GovernanceDataEd Online: Unlock Business Value through Data Governance
DataEd Online: Unlock Business Value through Data Governance
 
DataEd Slides: Growing Practical Data Governance Programs
DataEd Slides: Growing Practical Data Governance ProgramsDataEd Slides: Growing Practical Data Governance Programs
DataEd Slides: Growing Practical Data Governance Programs
 
Big Challenges in Data Modeling: Modeling Metadata
Big Challenges in Data Modeling: Modeling MetadataBig Challenges in Data Modeling: Modeling Metadata
Big Challenges in Data Modeling: Modeling Metadata
 
RWDG Slides: What is a Data Steward to do?
RWDG Slides: What is a Data Steward to do?RWDG Slides: What is a Data Steward to do?
RWDG Slides: What is a Data Steward to do?
 

Similar a Information is at the heart of ALL Architectures - Chris Bradley, From Here On - 18/6/15

Selecting Data Management Tools - A practical approach
Selecting Data Management Tools - A practical approachSelecting Data Management Tools - A practical approach
Selecting Data Management Tools - A practical approachChristopher Bradley
 
Data Governance by stealth v0.0.2
Data Governance by stealth v0.0.2Data Governance by stealth v0.0.2
Data Governance by stealth v0.0.2Christopher Bradley
 
Enterprise Data World Webinar: How to Get Your MDM Program Up & Running
Enterprise Data World Webinar: How to Get Your MDM Program Up & RunningEnterprise Data World Webinar: How to Get Your MDM Program Up & Running
Enterprise Data World Webinar: How to Get Your MDM Program Up & RunningDATAVERSITY
 
DMBOK 2.0 and other frameworks including TOGAF & COBIT - keynote from DAMA Au...
DMBOK 2.0 and other frameworks including TOGAF & COBIT - keynote from DAMA Au...DMBOK 2.0 and other frameworks including TOGAF & COBIT - keynote from DAMA Au...
DMBOK 2.0 and other frameworks including TOGAF & COBIT - keynote from DAMA Au...Christopher Bradley
 
How to identify the correct Master Data subject areas & tooling for your MDM...
How to identify the correct Master Data subject areas & tooling for your MDM...How to identify the correct Master Data subject areas & tooling for your MDM...
How to identify the correct Master Data subject areas & tooling for your MDM...Christopher Bradley
 
Implementing Effective Data Governance
Implementing Effective Data GovernanceImplementing Effective Data Governance
Implementing Effective Data GovernanceChristopher Bradley
 
Incorporating ERP metadata in your data models
Incorporating ERP metadata in your data modelsIncorporating ERP metadata in your data models
Incorporating ERP metadata in your data modelsChristopher Bradley
 
Data Modeling Best Practices - Business & Technical Approaches
Data Modeling Best Practices - Business & Technical ApproachesData Modeling Best Practices - Business & Technical Approaches
Data Modeling Best Practices - Business & Technical ApproachesDATAVERSITY
 
BDA 2012 Big data why the big fuss?
BDA 2012 Big data why the big fuss?BDA 2012 Big data why the big fuss?
BDA 2012 Big data why the big fuss?Christopher Bradley
 
Self-Service Data Analysis, Data Wrangling, Data Munging, and Data Modeling –...
Self-Service Data Analysis, Data Wrangling, Data Munging, and Data Modeling –...Self-Service Data Analysis, Data Wrangling, Data Munging, and Data Modeling –...
Self-Service Data Analysis, Data Wrangling, Data Munging, and Data Modeling –...DATAVERSITY
 
Data Modeling, Data Governance, & Data Quality
Data Modeling, Data Governance, & Data QualityData Modeling, Data Governance, & Data Quality
Data Modeling, Data Governance, & Data QualityDATAVERSITY
 
Trends in Data Modeling
Trends in Data ModelingTrends in Data Modeling
Trends in Data ModelingDATAVERSITY
 
Data strategy in a Big Data world
Data strategy in a Big Data worldData strategy in a Big Data world
Data strategy in a Big Data worldCraig Milroy
 
Smart Data Module 1 introduction to big and smart data
Smart Data Module 1 introduction to big and smart dataSmart Data Module 1 introduction to big and smart data
Smart Data Module 1 introduction to big and smart datacaniceconsulting
 
DAS Slides: Emerging Trends in Data Architecture – What’s the Next Big Thing?
DAS Slides: Emerging Trends in Data Architecture – What’s the Next Big Thing?DAS Slides: Emerging Trends in Data Architecture – What’s the Next Big Thing?
DAS Slides: Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
 
Agenda's for Preservation Research
Agenda's for Preservation ResearchAgenda's for Preservation Research
Agenda's for Preservation ResearchMicah Altman
 
DAS Slides: Building a Future-State Data Architecture Plan - Where to Begin?
DAS Slides: Building a Future-State Data Architecture Plan - Where to Begin?DAS Slides: Building a Future-State Data Architecture Plan - Where to Begin?
DAS Slides: Building a Future-State Data Architecture Plan - Where to Begin?DATAVERSITY
 
Data Modeling Techniques
Data Modeling TechniquesData Modeling Techniques
Data Modeling TechniquesDATAVERSITY
 

Similar a Information is at the heart of ALL Architectures - Chris Bradley, From Here On - 18/6/15 (20)

Selecting Data Management Tools - A practical approach
Selecting Data Management Tools - A practical approachSelecting Data Management Tools - A practical approach
Selecting Data Management Tools - A practical approach
 
Data Governance by stealth v0.0.2
Data Governance by stealth v0.0.2Data Governance by stealth v0.0.2
Data Governance by stealth v0.0.2
 
Enterprise Data World Webinar: How to Get Your MDM Program Up & Running
Enterprise Data World Webinar: How to Get Your MDM Program Up & RunningEnterprise Data World Webinar: How to Get Your MDM Program Up & Running
Enterprise Data World Webinar: How to Get Your MDM Program Up & Running
 
Data modeling for the business
Data modeling for the businessData modeling for the business
Data modeling for the business
 
Data modelling 101
Data modelling 101Data modelling 101
Data modelling 101
 
DMBOK 2.0 and other frameworks including TOGAF & COBIT - keynote from DAMA Au...
DMBOK 2.0 and other frameworks including TOGAF & COBIT - keynote from DAMA Au...DMBOK 2.0 and other frameworks including TOGAF & COBIT - keynote from DAMA Au...
DMBOK 2.0 and other frameworks including TOGAF & COBIT - keynote from DAMA Au...
 
How to identify the correct Master Data subject areas & tooling for your MDM...
How to identify the correct Master Data subject areas & tooling for your MDM...How to identify the correct Master Data subject areas & tooling for your MDM...
How to identify the correct Master Data subject areas & tooling for your MDM...
 
Implementing Effective Data Governance
Implementing Effective Data GovernanceImplementing Effective Data Governance
Implementing Effective Data Governance
 
Incorporating ERP metadata in your data models
Incorporating ERP metadata in your data modelsIncorporating ERP metadata in your data models
Incorporating ERP metadata in your data models
 
Data Modeling Best Practices - Business & Technical Approaches
Data Modeling Best Practices - Business & Technical ApproachesData Modeling Best Practices - Business & Technical Approaches
Data Modeling Best Practices - Business & Technical Approaches
 
BDA 2012 Big data why the big fuss?
BDA 2012 Big data why the big fuss?BDA 2012 Big data why the big fuss?
BDA 2012 Big data why the big fuss?
 
Self-Service Data Analysis, Data Wrangling, Data Munging, and Data Modeling –...
Self-Service Data Analysis, Data Wrangling, Data Munging, and Data Modeling –...Self-Service Data Analysis, Data Wrangling, Data Munging, and Data Modeling –...
Self-Service Data Analysis, Data Wrangling, Data Munging, and Data Modeling –...
 
Data Modeling, Data Governance, & Data Quality
Data Modeling, Data Governance, & Data QualityData Modeling, Data Governance, & Data Quality
Data Modeling, Data Governance, & Data Quality
 
Trends in Data Modeling
Trends in Data ModelingTrends in Data Modeling
Trends in Data Modeling
 
Data strategy in a Big Data world
Data strategy in a Big Data worldData strategy in a Big Data world
Data strategy in a Big Data world
 
Smart Data Module 1 introduction to big and smart data
Smart Data Module 1 introduction to big and smart dataSmart Data Module 1 introduction to big and smart data
Smart Data Module 1 introduction to big and smart data
 
DAS Slides: Emerging Trends in Data Architecture – What’s the Next Big Thing?
DAS Slides: Emerging Trends in Data Architecture – What’s the Next Big Thing?DAS Slides: Emerging Trends in Data Architecture – What’s the Next Big Thing?
DAS Slides: Emerging Trends in Data Architecture – What’s the Next Big Thing?
 
Agenda's for Preservation Research
Agenda's for Preservation ResearchAgenda's for Preservation Research
Agenda's for Preservation Research
 
DAS Slides: Building a Future-State Data Architecture Plan - Where to Begin?
DAS Slides: Building a Future-State Data Architecture Plan - Where to Begin?DAS Slides: Building a Future-State Data Architecture Plan - Where to Begin?
DAS Slides: Building a Future-State Data Architecture Plan - Where to Begin?
 
Data Modeling Techniques
Data Modeling TechniquesData Modeling Techniques
Data Modeling Techniques
 

Último

BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service
BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort ServiceBDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service
BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort ServiceDelhi Call girls
 
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Callshivangimorya083
 
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Delhi Call girls
 
Ravak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxRavak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxolyaivanovalion
 
Halmar dropshipping via API with DroFx
Halmar  dropshipping  via API with DroFxHalmar  dropshipping  via API with DroFx
Halmar dropshipping via API with DroFxolyaivanovalion
 
Edukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFxEdukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFxolyaivanovalion
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysismanisha194592
 
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...amitlee9823
 
Carero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxCarero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxolyaivanovalion
 
Week-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionWeek-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionfulawalesam
 
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...amitlee9823
 
CebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptxCebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptxolyaivanovalion
 
Invezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz1
 
Data-Analysis for Chicago Crime Data 2023
Data-Analysis for Chicago Crime Data  2023Data-Analysis for Chicago Crime Data  2023
Data-Analysis for Chicago Crime Data 2023ymrp368
 
Best VIP Call Girls Noida Sector 22 Call Me: 8448380779
Best VIP Call Girls Noida Sector 22 Call Me: 8448380779Best VIP Call Girls Noida Sector 22 Call Me: 8448380779
Best VIP Call Girls Noida Sector 22 Call Me: 8448380779Delhi Call girls
 
Mature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxMature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxolyaivanovalion
 

Último (20)

BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service
BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort ServiceBDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service
BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service
 
Sampling (random) method and Non random.ppt
Sampling (random) method and Non random.pptSampling (random) method and Non random.ppt
Sampling (random) method and Non random.ppt
 
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
 
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
 
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
 
Ravak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxRavak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptx
 
(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7
(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7
(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7
 
Halmar dropshipping via API with DroFx
Halmar  dropshipping  via API with DroFxHalmar  dropshipping  via API with DroFx
Halmar dropshipping via API with DroFx
 
Edukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFxEdukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFx
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysis
 
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
 
Carero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxCarero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptx
 
Week-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionWeek-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interaction
 
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
 
Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Doha Qatar (+966572737505 ! Get CytotecAbortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec
 
CebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptxCebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptx
 
Invezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signals
 
Data-Analysis for Chicago Crime Data 2023
Data-Analysis for Chicago Crime Data  2023Data-Analysis for Chicago Crime Data  2023
Data-Analysis for Chicago Crime Data 2023
 
Best VIP Call Girls Noida Sector 22 Call Me: 8448380779
Best VIP Call Girls Noida Sector 22 Call Me: 8448380779Best VIP Call Girls Noida Sector 22 Call Me: 8448380779
Best VIP Call Girls Noida Sector 22 Call Me: 8448380779
 
Mature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxMature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptx
 

Information is at the heart of ALL Architectures - Chris Bradley, From Here On - 18/6/15

  • 1. P / 1 Information is at the Heart of ALL Architectures B C S D A M A “ I N F O R M A T I O N T H E O R G A N I S A T I O N A L E N A B L E R ” J U N E 1 8 T H 2 0 1 5 – L O N D O N C H R I S T O P H E R B R A D L E Y
  • 2. P / 2 Christopher Bradley Blog: Information Management, Life & Petrol http://infomanagementlifeandpetrol.blogspot.com @InfoRacer uk.linkedin.com/in/christophermichaelbradley/ Christopher Bradley Information Management Strategist T: +44 7973 184475 chris@chrismb.co.uk
  • 3. P / 3 Christopher Bradley Chris has 34 years of Information Management experience & is a leading Information Management strategy advisor. In the Information Management field, Chris works with prominent organizations including HSBC, Celgene, GSK, Pfizer, Icon, Quintiles, Total, Barclays, ANZ, GSK, Shell, BP, Statoil, Riyad Bank & Aramco. He addresses challenges faced by large organisations in the areas of Data Governance, Master Data Management, Information Management Strategy, Data Quality, Metadata Management and Business Intelligence. He is a Director of DAMA- I, holds the CDMP Master certification, is an examiner for CDMP, a Fellow of the Chartered Institute of Management Consulting (now IC) a member of the MPO, and SME Director of the DM Board. A recognised thought-leader in Information Management Chris is the author of numerous papers, books, including sections of DMBoK 2.0, a columnist, a frequent contributor to industry publications and member of several IM standards authorities. He leads an experts channel on the influential BeyeNETWORK, is a sought after speaker at major international conferences, and is the co-author of “Data Modelling For The Business – A Handbook for aligning the business with IT using high-level data models”. He also blogs frequently on Information Management (and motorsport).
  • 5. Recent Presentations DAMA UK Webinar: June 2015; “Data Modelling” Disciplines of the DAMA DMBoK” PRISME Pharmaceutical Congress: May 2015, Basel, CH; “Building & exploiting a Pharmaceutical Industry consensus data model” MDM DG Europe (IRM): May 2015, London; “CDMP Examination Preparation” & “Data Governance By Stealth?, Can you ‘sell’ Data Governance if the stakeholders don’t get it?” DAMA UK Webinar: April 2015; “Master & Reference Data Management” Disciplines of the DMBoK” Enterprise Data World: April 2015, Washington DC USA; “Data Modelling For The Business” and “Evaluating Information Management Tools” DAMA UK Webinar: February 2015; “An Introduction to the Information Disciplines of the DMBoK” Dataversity Webinar: February 2015; “How to successfully introduce Master & Reference data management” Petroleum Information Management Summit 2015: February 2015, Berlin DE, “How to succeed with MDM and Data Governance” Enterprise Data & Business Intelligence 2014: (IRM), November 2014, London, UK “Data Modelling 101 Workshop” Enterprise Data World: (DataVersity), May 2014, Austin, Texas, “MDM Architectures & How to identify the right Subject Area & tooling for your MDM strategy” E&P Information Management Dubai: (DMBoard),17-19 March 2014, Dubai, UAE “Master Data Management Fundamentals, Architectures & Identify the starting Data Subject Areas” DAMA Australia: (DAMA-A),18-21 November 2013, Melbourne, Australia “DAMA DMBoK 2.0”, “Information Management Fundamentals” 1 day workshop” Data Management & Information Quality Europe: (IRM Conferences), 4-6 November 2013, London, UK “Data Modelling Fundamentals” ½ day workshop: “Myths, Fairy Tales & The Single View” Seminar “Imaginative Innovation - A Look to the Future” DAMA Panel Discussion IPL / Embarcadero series: June 2013, London, UK, “Implementing Effective Data Governance” Riyadh Information Exchange: May 2013, Riyadh, Saudi Arabia, “Big Data – What’s the big fuss?” Enterprise Data World: (Wilshire Conferences), May 2013, San Diego, USA, “Data and Process Blueprinting – A practical approach for rapidly optimising Information Assets” Data Governance & MDM Europe: (IRM Conferences), April 2013, London, “Selecting the Optimum Business approach for MDM success…. Case study with Statoil” E&P Information Management: (SMI Conference), February 2013, London, “Case Study, Using Data Virtualisation for Real Time BI & Analytics” E&P Data Governance: (DMBoard / DG Events), January 2013, Marrakech, Morocco, “Establishing a successful Data Governance program” Big Data 2: (Whitehall), December 2012, London, “The Pillars of successful knowledge management” Financial Information Management Association (FIMA): (WBR), November 2012, London; “Data Strategy as a Business Enabler” Data Modeling Zone: (Technics), November 2012, Baltimore USA “Data Modelling for the business” Data Management & Information Quality Europe: (IRM), November 2012, London; “All you need to know to prepare for DAMA CDMP professional certification” ECIM Exploration & Production: September 2012, Haugesund, Norway: “Enhancing communication through the use of industry standard models; case study in E&P using WITSML” Preparing the Business for MDM success: Threadneedles Executive breakfast briefing series, July 2012, London Big Data – What’s the big fuss?: (Whitehall), Big Data & Analytics, June 2012, London, Enterprise Data World International: (DAMA / Wilshire), May 2012, Atlanta GA, “A Model Driven Data Governance Framework For MDM - Statoil Case Study” “When Two Worlds Collide – Data and Process Architecture Synergies” (rated best workshop in conference); “Petrochemical Information Management utilising PPDM in an Enterprise Information Architecture” Data Governance & MDM Europe: (DAMA / IRM), April 2012, London, “A Model Driven Data Governance Framework For MDM - Statoil Case Study” AAPG Exploration & Production Data Management: April 2012, Dead Sea Jordan; “A Process For Introducing Data Governance into Large Enterprises” PWC & Iron Mountain Corporate Information Management: March 2012, Madrid; “Information Management & Regulatory Compliance” DAMA Scandinavia: March 2012, Stockholm, “Reducing Complexity in Information Management” (rated best presentation in conference) Ovum IT Governance & Planning: March 2012, London; “Data Governance – An Essential Part of IT Governance” American Express Global Technology Conference: November 2011, UK, “All An Enterprise Architect Needs To Know About Information Management” FIMA Europe (Financial Information Management):, November 2011, London; “Confronting The Complexities Of Financial Regulation With A Customer Centric Approach; Applying a Master Data Management And Data Governance Process In Clydesdale Bank “ Data Management & Information Quality Europe: (DAMA / IRM), November 2011, London, “Assessing & Improving Information Management Effectiveness – Cambridge University Press Case Study”; “Too Good To Be True? – The Truth About Open Source BI” ECIM Exploration & Production: September 12th 14th 2011, Haugesund, Norway: “The Role Of Data Virtualisation In Your EIM Strategy” Enterprise Data World International: (DAMA / Wilshire), April 2011, Chicago IL; “How Do You Want Yours Served? – The Role Of Data Virtualisation And Open Source BI” Data Governance & MDM Europe: (DAMA / IRM), March 2011, London, “Clinical Information Data Governance” Data Management & Information Management Europe: (DAMA / IRM), November 2010, London, “How Do You Get A Business Person To Read A Data Model? DAMA Scandinavia: October 26th-27th 2010, Stockholm, “Incorporating ERP Systems Into Your Overall Models & Information Architecture” (rated best presentation in conference) BPM Europe: (IRM), September 27th – 29th 2010, London, “Learning to Love BPMN 2.0” IPL / Composite Information Management in Pharmaceuticals: September 15th 2010, London, “Clinical Information Management – Are We The Cobblers Children?” ECIM Exploration & Production: September 13th 15th 2010, Haugesund, Norway: “Information Challenges and Solutions” (rated best presentation in conference) Enterprise Architecture Europe: (IRM), June 16th – 18th 2010, London: ½ day workshop; “The Evolution of Enterprise Data Modelling”
  • 6. Recent Publications Book: “Data Modelling For The Business – A Handbook for aligning the business with IT using high-level data models”; Technics Publishing; ISBN 978-0-9771400-7-7; http://www.amazon.com/Data-Modeling-Business-Handbook-High-Level White Paper: “Information is at the heart of ALL Architecture disciplines”,; March 2014 Article: The Bookbinder, the Librarian & a Data Governance story ; July 2013 Article: Data Governance is about Hearts and Minds, not Technology January 2013 White Paper: “The fundamentals of Information Management”, January 2013 White Paper: “Knowledge Management – From justification to delivery”, December 2012 Article: “Chief INFORMATION Officer? Not really” Article, November 2012 White Paper: “Running a successful Knowledge Management Practice” November 2012 White Paper: “Big Data Projects are not one man shows” June 2012 Article: “IPL & Statoil’s innovative approach to Master Data Management in Statoil”, Oil IT Journal, May 2012 White Paper: “Data Modelling is NOT just for DBMS’s” April 2012 Article: “Data Governance in the Financial Services Sector” FSTech Magazine, April 2012 Article: “Data Governance, an essential component of IT Governance" March 2012 Article: “Leveraging a Model Driven approach to Master Data Management in Statoil”, Oil IT Journal, February 2012 Article: “How Data Virtualization Helps Data Integration Strategies” BeyeNETWORK (December 2011) Article: “Approaches & Selection Criteria For organizations approaching data integration programmes” TechTarget (November 2011) Article: Big Data – Same Problems? BeyeNETWORK and TechTarget. (July 2011) Article “10 easy steps to evaluate Data Modelling tools” Information Management, (March 2010) Article “How Do You Want Your Data Served?” Conspectus Magazine (February 2010) Article “How do you want yours served (data that is)” (BeyeNETWORK January 2010) Article “Seven deadly sins of data modelling” (BeyeNETWORK October 2009) Article “Data Modelling is NOT just for DBMS’s” Part 1 BeyeNETWORK July 2009 and Part 2 BeyeNETWORK August 2009 Web Channel: BeyeNETWORK “Chris Bradley Expert Channel” Information Asset Management http://www.b-eye-network.co.uk/channels/1554/ Article: “Preventing a Data Disaster” February 2009, Database Marketing Magazine
  • 7. P / 7 Data Drives the Business – Make sure it’s Correct In today’s information age, data drives key business decisions. Executives ask questions such as: _ How many customers do I have? _ What is total revenue by region for last fiscal year? _ Which products drove the most revenue this quarter? Behind the answers to those questions lies a data model: _Documenting the source and structure of data › What database(s) store customer information › How are these databases structured to store customer information _Defining key business terms › What is a product? e.g. Finished goods only? Raw materials? _Regulating business rules › Can a customer have more than one account? “Data errors can cost a company millions of dollars, alienate customers, suppliers and business partners, and make implementing new strategies difficult or even impossible. The very existence of an organisation can be threatened by poor data” Joe Peppard – European School of Management and Technology “Ultimately, poor data quality is like dirt on the windshield. You may be able to drive for a long time with slowly degrading vision, but at some point you either have to stop and clear the windshield or risk everything” Ken Orr, The Cutter Consortium
  • 8. P / 8 In many case Data IS the Business – Make sure it’s Correct In many cases, data IS the core business asset. vs
  • 9. P / 9 Information in Context T H E R E ’ S M O R E T O D A T A T H A N M E E T S T H E E Y E I’d like a report showing all of our customers SUPPORT ENGINEER A person’s not a customer if they don’t have an active maintenance account. SALES A customer is someone who wants to buy our product. SYBASE DB2 ORACLE SQL SERVER MS SQL AZURE INFORMIX TERADATA SAP DBA Which customer database do you want me to pull this from? We have 25. BUSINESS EXECUTIVE DATA ARCHITECT And, by the way, the databases all store customer information in a different format. “CUST_NM” on DB2, “cust_last_nm” on Oracle, etc. It’s a mess. ACCOUNTING A customer is someone who owns our product. HUMAN RESOURCES My customers are internal employees.
  • 10. P / 10 BUSINESS ARCHITECTURE Business Objectives & Goals Motivations & Metrics Functions, Roles, Departments BUSINESS PROCESS ARCHITECTURE Overall Value Chain High-Level Business Processes Workflow Models Architecture Disciplines WHAT we are trying to accomplish WHY is this important (“so what”) HOW do we measure this? WHO … what roles and structures are required to undertake this? The company is undertaking a radical approach to enhance Customer experience, service and satisfaction by providing seamless multi-channel Customer access to all core services The sequence of steps carried out by the actors involved in the process The process or activities by which a company adds value to an article or service, including production, marketing, and the provision of after-sales service. The major high level business processes. Not yet decomposed into sub-processes or workflow
  • 11. P / 11 Architecture Disciplines Business systems (manual or IT) Cross reference of Business Processes to Systems A business service that is triggered in order to complete a business event How an actor completes a process step by interacting with a system to obtain a service The things of significance about which the organization wishes to know or hold, together with the facts about them. The organization may maintain records of these and processes and systems will act on them. APPLICATION / SYSTEMS ARCHITECTURE Systems within Scope High-Level Mapping Business Services Presentation Services (use cases) INFORMATION ARCHITECTURE Enterprise Data Model Conceptual Data Models Logical Data Models Physical Data Models & DB’s
  • 12. P / 12 BUSINESS ARCHITECTURE Business Objectives & Goals Motivations & Metrics Functions, Roles, Departments BUSINESS PROCESS ARCHITECTURE Overall Value Chain High-Level Business Processes Workflow Models Architecture Disciplines The company is undertaking a radical approach to enhance Customer experience, service and satisfaction by providing seamless multi-channel Customer access to all core services NOUN: Customer VERB : QUALIFIER: NOUN: QUALIFIER Credit Check Customer
  • 13. P / 13 Architecture Disciplines APPLICATION / SYSTEMS ARCHITECTURE Systems within Scope High-Level Mapping Business Services Presentation Services (use cases) INFORMATION ARCHITECTURE Enterprise Data Model Conceptual Data Models Logical Data Models Physical Data Models & DB’s VERB : QUALIFIER: NOUN: QUALIFIER Credit Check Customer NOUN : Customer ACTOR : VERB : QUALIFIER: NOUN: Customer inserts card
  • 14. P / 14 BUSINESS ARCHITECTURE Business Objectives & Goals Motivations & Metrics Functions, Roles, Departments INFORMATION ARCHITECTURE Enterprise Data Model Conceptual Data Models Logical Data Models Physical Data Models PROCESS ARCHITECTURE Overall Value Chain High-Level Business Processes Workflow Models APPLICATION / SYSTEMS ARCHITECTURE Systems within Scope High-Level Mapping Business Services Presentation Services (use cases) The company is undertaking a radical approach to enhance Customer experience, service and satisfaction by providing seamless multi-channel Customer access to all core services BUSINESS OBJECTIVES INFORMATION SERVICES BUSINESS SERVICES PRESENTATION SERVICES BUSINESS PROCESS Information Is At The HEART Of ALL Architecture Disciplines
  • 15. P / 15 What Is Data Modelling?
  • 17. P / 17 Entities are the “Nouns” of the Organization _ Who? Employee, Customer, Student, Vendor _ What? Product, Service, Raw Material, Course _ Where? Location, Address, Country _ When? Fiscal Period, Year, Time, Semester _ Why? Transaction, Inquiry, Order, Claim, Credit, Debit _ How? Invoice, Contract, Agreement, Document
  • 18. P / 18 Is the “Data Asset” really different? OIL MONEY BLOOD PEOPLE PROPERTY MATERIALS IP DATA
  • 19. P / 19 Is the “Data Asset” really different? COPYABLE OIL NO MONEY NO BLOOD NO PEOPLE NO PROPERTY NO MATERIALS NO IP NO * DATA YES
  • 20. P / 20 Is the “Data Asset” really different? COPYABLE “USE” DEPLETES IT OIL NO YES MONEY NO YES BLOOD NO YES PEOPLE NO NO PROPERTY NO PART MATERIALS NO YES IP NO * NO DATA YES NO
  • 21. P / 21 Is the “Data Asset” really different? COPYABLE “USE” DEPLETES IT ASCRIBE ££ TO IT OIL NO YES YES MONEY NO YES YES BLOOD NO YES PART PEOPLE NO NO NO PROPERTY NO PART YES MATERIALS NO YES YES IP NO * NO PART DATA YES NO NO
  • 22. P / 22 Is the “Data Asset” really different? COPYABLE “USE” DEPLETES IT ASCRIBE ££ TO IT REAL or ABSTRACT OIL NO YES YES REAL MONEY NO YES YES REAL * BLOOD NO YES PART REAL PEOPLE NO NO NO REAL PROPERTY NO PART YES REAL MATERIALS NO YES YES REAL IP NO * NO PART NOT DATA YES NO NO NOT
  • 23. P / 23 Is the “Data Asset” really different? COPYABLE “USE” DEPLETES IT ASCRIBE ££ TO IT REAL or ABSTRACT PROCESS TO YIELD VALUE OIL NO YES YES REAL YES MONEY NO YES YES REAL * NO BLOOD NO YES PART REAL YES PEOPLE NO NO NO REAL YES PROPERTY NO PART YES REAL NO MATERIALS NO YES YES REAL PART IP NO * NO PART NOT PART DATA YES NO NO NOT YES
  • 24. P / 24 Is the “Data Asset” really different? COPYABLE “USE” DEPLETES IT ASCRIBE ££ TO IT REAL or ABSTRACT PROCESS TO YIELD VALUE OIL NO YES YES REAL YES MONEY NO YES YES REAL * NO BLOOD NO YES PART REAL YES PEOPLE NO NO NO REAL YES PROPERTY NO PART YES REAL NO MATERIALS NO YES YES REAL PART IP NO * NO PART NOT PART DATA YES NO NO NOT YES
  • 25. P / 25 Summary _ Information is different to most other assets we encounter _ All of the business depends on information to a greater or lesser degree _ The quality & management of Information can affect the very existence of an organisation _Ignore information management at your peril
  • 26. P / 26 @inforacer uk.linkedin.com/in/christophermichaelbradley/ +44 7973 184475 infomanagementlifeandpetrol.blogspot.com Chris Bradley Information Management Strategist chris@chrismb.co.ukE