THE DATA GOVERNANCE WORKSHOP - Data To Valuedatatovalue.co.uk/WP/wp-content/uploads/2016/05/... · DMBOK ITIL COBIT 5 Mike 2.0 TOGAF etc. industry definitions (1/2) company: European

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

[email protected]

Semanta © 2016, All rights reserved, Strictly confidential

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


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

http://www.dama.org/content/about-us

http://0046c64.netsolhost.com/whatIsDataGovernance.html

http://www.datagovernance.com/adg_data_governance_definition/

industry definitions (2/2)








situation, however simple PoC (investment of 10MDs) had quickly proven,

that it won`t work.



exercises rather than with (big) theoretical paperwork, 2/ start picking with



“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

http://www.gartner.com/it-glossary/information-governance

https://en.wikipedia.org/wiki/Information_governance

DMBOK wheel

DG ORANISATION


So, what`s the problem?








situation, however simple Pock (investment of 10MDs) had quickly proven,

that it won`t work.



exercises rather than with (big) theoretical paperwork, 2/ start picking with



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


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


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


Summary …..


EXCERCISE

Where are we going?

The Data Governance Tomorrow


“make your company`s

information each day a bit

more trusted and more

accessible”


like access to information

like communication around information


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


Thank you

THE DATA GOVERNANCE WORKSHOP - Data To Valuedatatovalue.co.uk/WP/wp-content/uploads/2016/05/... · DMBOK ITIL COBIT 5 Mike 2.0 TOGAF etc. industry definitions (1/2) company: European

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