Convergence & Co-existence of TOGAF, COBIT & ITIL in Planning & Implementing Business Strategy
THE DATA GOVERNANCE WORKSHOP - Data To Valuedatatovalue.co.uk/WP/wp-content/uploads/2016/05/... ·...
Transcript of THE DATA GOVERNANCE WORKSHOP - Data To Valuedatatovalue.co.uk/WP/wp-content/uploads/2016/05/... ·...
THE
DATA GOVERNANCE
WORKSHOP
The Practical Data Governance Workshop
Introduction to services
We help organisations get more value from their Data
Architecture5 Core practice areas covering both business and architecture aspects of data management
Service delivery through:
Onsite consulting
Onsite / Offsite Managed Services
Expert users of technology accelerators for bridging technology & business Data gap
Lean Data Management
Focus on reducing waste & minimising TCO
Unification of unstructured information / knowledge management & structured data management
Key mantra is minimising time spent on building solutions customers do not want
Lean Information Management
Shorter iterations
Prototyping & Minimum
Viable Products
Build-Measure-
Learn cycle
Early adopters
Cross functional
teams
Actionable metrics
Unique Value Proposition
Experience & expertise
Founders have over 40 years experience working with data
Skilled in defining data strategy and implementing data architecture,
governance and analytics solutions
Focussed on delivering business value
Align data strategy with client’s strategic goals
Work packages based on business case and ROI
Lean, agile & iterative approach
Hybrid consultancy model to scale to meet demand
Partner with innovative vendors of data tools software
We have a number of industry partnerships that allow us to hit the ground running
We also use industry leading platforms such as AWS for hosting and Tableau for Data Visualisation
Our focus is on providing customers with the most appropriate tooling to continue to make progress after initial projects have completed
Tooling & Partners
Data to Value industry partners
& platforms:
Lean Approach – Iterative Process
Maturity benchmarking
Data Profiling & Data Discovery
Harvest key metadata (apps, lineage, processes etc.)
Test rules & capture metrics
Generate risk & cost metrics
Capture quality, governance & modelling notes
Review issues using visualisations & dashboards
Prototype data solutions
Implement practical
Integrated Approach
data quality & governance
metrics
data models, glossaries & dictionaries
disparate data & metadata
data profiling & metadata discovery
ontologies controlled vocabularies
Typical Outputs
DQ Issue lists & KPIs to guide decision making
Powerful, interactive visualisations
Models, Knowledge Graphs & Glossaries to understand what
data assets you have
Dashboards articulating the data quality issues that are
holding you back
Clean, actionable & well structured data in
a variety of formats
Ready to use Prototypes & POCs
Passionate, Innovative, Lean
Lean Information Management specialists
Data to Value Ltd. 2nd Floor Elizabeth House, Waterloo, London SE1 7NQ United Kingdom
T +44 (0) 208 278 7351www.datatovalue.co.uk
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Co-Founder and Managing Director of SEMANTA.
My passion is innovation and bringing fresh, sometimes
disruptive and hopefully smart ideas into the "business-as-usual" world.
It fascinates me how remarkably different our experiences are when we compare searching for something on the internet to searching for information inside corporate firewalls. For more than 15 years, my key professional domain has been Business Intelligence and Data Governance. And I’m currently trying to solve the puzzle of "how to make any corporate information easily searchable and quickly accessible."
To this end, my company, SEMANTA is the producer of the most advanced off-the-shelf Data Governance and BI portal solution on the market.
Tomáš Bárta
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Co-founder and Lead Designer of SEMANTA.
My passion is innovation and bringing fresh, sometimes
Information has been dwarfed by technology for too long. I think there's a change coming and I'm working hard to make an information system that's for people and not robots.
Specialties: Information architecture, Metadata management, Data modeling
Peter Hora
• 9:30 – 11:00
• Theory - "where it begins..."
• definitions and overview
• Reality – "where it ends...."
• lessons learned and common mistakes
• 11:15 – 13:00
• Practical Data Governannce
• 4 simple steps to make it happen
• the right approach to get DG off the ground.
Workshop Topics
• WHY?
• WHAT?
• WHO?
• WHEN?
• HOW?
Putting it in Context
2006
Why even bother?
• growing complexity information
• knowledge is spread in company and scattered in peoples heads
• no single system can contain all your information
• growing regulatory and compliance requirements
Where we are, right now?
there is a strong voice… solid theoretical resources…
there is community… even cartoons…
• 100+ data governance related groups
• 200+ information governance groups
• thousands of individuals
standards…
DMBOK
ITIL
COBIT 5
Mike 2.0
TOGAF
etc.
industry definitions (1/2)
company: European retail bank - 3 mil+ clients
goal: “we need to introduce common definitions - glossary”
team: 2-3FTE analysts working guided by DAMA 9 months
output: robust methodology with complex and thorough workflow design
with 20+ steps and states, bullet-proof system of roles and responsibilities.
Requirements for the tool to support the design.
It was very thorough, very sophisticated, addressing every possible
situation, however simple PoC (investment of 10MDs) had quickly proven,
that it won`t work.
finally: project was suspended for years
lessons learned: it`s good idea to - 1/ start and continue with small practical
exercises rather than with (big) theoretical paperworks, 2/ start picking with
low hanging fruit like governing systems and data rather than governing
glossary and definitions.
“Data Governance is the exercise of authority and
control (planning, monitoring, and enforcement) over
the management of data assets.”
DAMA International
“Data Governance is the formal orchestration of people,
processes, and technology to enable an organization to
leverage data as an enterprise asset.”
MDM Institute
“Data Governance is a system of decision rights and
accountabilities for information-related processes,
executed according to agreed-upon models which
describe who can take what actions with what
information, and when, under what circumstances,
using what methods.”
The Data Governance Institute
industry definitions (2/2)
company: European retail bank - 3 mil+ clients
goal: “we need to introduce common definitions - glossary”
team: 2-3FTE analysts working guided by DAMA 9 months
output: robust methodology with complex and thorough workflow design
with 20+ steps and states, bullet-proof system of roles and responsibilities.
Requirements for the tool to support the design.
It was very thorough, very sophisticated, addressing every possible
situation, however simple PoC (investment of 10MDs) had quickly proven,
that it won`t work.
finally: project was suspended for years
lessons learned: it`s good idea to - 1/ start and continue with small practical
exercises rather than with (big) theoretical paperwork, 2/ start picking with
low hanging fruit like governing systems and data rather than governing
glossary and definitions.
“Gartner defines information governance as the
specification of decision rights and an accountability
framework to ensure appropriate behavior in the
valuation, creation, storage, use, archiving and
deletion of information. It includes the processes,
roles and policies, standards and metrics that ensure
the effective and efficient use of information in
enabling an organization to achieve its goals.”
Gartner
“Information governance, or IG, is the set of multi-
disciplinary structures, policies, procedures, processes
and controls implemented to manage information at an
enterprise level, supporting an organization's
immediate and future regulatory, legal, risk,
environmental and operational requirements.”
wikipedia.org
DMBOK wheel
DG ORANISATION
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So, what`s the problem?
company: European retail bank - 3 mil+ clients
goal: “we need to introduce common definitions - glossary”
team: 2-3FTE analysts working guided by DAMA 9 months
output: robust methodology with complex and thorough workflow design
with 20+ steps and states, bullet-proof system of roles and responsibilities.
Requirements for the tool to support the design.
It was very thorough, very sophisticated, addressing every possible
situation, however simple Pock (investment of 10MDs) had quickly proven,
that it won`t work.
finally: project was suspended for years
lessons learned: it`s good idea to - 1/ start and continue with small practical
exercises rather than with (big) theoretical paperwork, 2/ start picking with
low hanging fruit like governing systems and data rather than governing
glossary and definitions.
Data governance has a reputation for being a
daunting task that is prone to delays and
failure.
It`s failing too often….
….
to
aren`t.
why?
We`re making it too complex
our approach?
High-level
Map
Detailed
Map
DG
Checkpoint
Get it under control
REFLECT THE
CHANGE
TAKE
CONTROL
Outputs:
• An HR DG checkpoint
• A PM office checkpoint
• A Change Management checkpoint
• An Incident Management checkpoint
Engaged staff: *)
• HR dept
• analysts
• developers
*) on top of those already engaged
Establish checkpoints everywhere; data definitions, structures and ownership can
change. Ensure that your Information Catalogue is connected into on-going change.
DG at your
Fingertips
Demand management
Discussion
Can you give this an eye?
Peter Hora Requested review
Approve Reject
Add a comment
Approval and change workflows
High-level
Maps
Detailed
Maps
DG
Checkpoints
Get them connected and harvest the fruit, work for people
ENABLE
COLLABORATION
CONNECT
PEOPLE
Outputs:
• collaboration and sharing enabled from
anywhere
• instant access to inventories from
anywhere
• data discovery enabled
Engaged staff: *)
• ordinary day-day data consumers
*) on top of already engaged
Get them all connected. Data supply team connected with data consumers. Start the information
community in action.
DG at your
Fingertips
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EXCERCISE #4
Instead of Email, Word, Excel
The Data Governance Tomorrow
Instant access to inventories from anywhere
Ask steward a question
CANCEL SEND
Collaboration and sharing enabled from anywhere
Data discovery enabled
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High-level
Maps
Detailed
Maps
DG
Checkpoints
DG at your
fingertips
people reports monitoring AIR
systems data workflow Order Book
search glossary impact analysis
wiki connectors DQ dictionary
diagraming
Collaboration
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Summary …..
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EXCERCISE
Where are we going?
The Data Governance Tomorrow
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“make your company`s
information each day a bit
more trusted and more
accessible”
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like access to information
like communication around information
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TAKEAWAYS
• THINK SIMPLE
• START SMALL
• HAVE A TOOL
• JUST DO IT
“make your company`s information each
day a bit clearer and more accessible “
start with you and your department….
+ 4 STEP method
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Thank you