1) The document discusses cloud computing and its implications for data governance. Cloud computing refers to delivering computing as an internet-based service rather than a product. It allows for virtual allocation of resources and pay-per-use models. 2) Moving to the cloud presents both opportunities and challenges for data governance. It could improve governance through fewer devices holding data but requires enhanced focus on governance within and outside the organization. Organizations may lose physical control of their data. 3) Adapting to the cloud will change data governance roles and skills. Governance professionals should get involved in cloud strategies, ensure data challenges are addressed, and plan for new issues around security, compliance, and partner governance. The cloud computing landscape

1. TRILLIUM SOFTWARE 2013 CUSTOMER CONFERENCE
Both Sides Now
Cloud Computing & Data Governance
Presented By:
Nigel Turner
VP Information
Management Strategy
1

2. Confused? I was…
“I've looked at clouds
from both sides now
From up and down, and
still somehow
It's cloud illusions I
recall
I really don't know
clouds at all”
Both Sides Now
Joni Mitchell 1967

3. Cloud Computing – the
Wikipedia view

4. Cloud Computing – Some
alternative definitions
 “Cloud computing is the delivery of computing as a service
rather than a product, whereby shared resources, software, and
information are provided to computers and other devices as a
metered service over a network (typically the Internet).”
(Wikipedia)
 “Internet or network based subscription services for
applications, platforms or infrastructure” (IBM)
 “Marketing term for the technologies that provide computation,
software, data access, and storage services that do not require
end-user knowledge of the physical location or configuration of
the system that delivers the services.” (Trillium Software)

5. Cloud Computing –
core elements
 Provision of services via the Internet / network
 Virtual not physical allocation of resources
 Multi-tenanted hosting
 Pay as you use not outright purchase (cf
utilities)
 Cloud is a disruptive technology as it provides
a clear alternative model to outright purchase
of hardware, platforms & applications

6. Cloud Computing – how
it can be offered
 Public/private/hybrid options
 Public – via the internet
 Private – via an intranet
 Hybrid – combination

7. Cloud Computing – what can
be offered
 Infrastructure as a service (IaaS)
 Hosted hardware, storage and servers
 Key providers include Amazon, Google
 Platform as a service (PaaS)
 Access to an externally managed platform for
application development & integration
 Key providers include AT&T, MS (Azure), Rackspace,
Jaspersoft
 Software as a service (SaaS)
 Access to software applications not managed in-house
 Thousands of examples…

8. Examples of SaaS

10. Cloud Computing: potential
benefits (1)
 Speed to deploy new applications &
services
 Greater standardisation
 Scalability & elasticity
 Lower initial implementation costs –
CAPEX to OPEX
 Better cost control and lower internal IT
costs (e.g. help desks)

11. Cloud Computing: potential
benefits (2)
 Benefits to SMEs who cannot afford to
purchase
 Try before you buy options – benefits
both customers & suppliers
 Self-service and self-configuration of
services
 Better and faster user adoption
 Potentially improved performance
 Automatic data back ups

12. And senior executives like
it…
12
55% - Cloud improves effectiveness
(87% Leaders)
58% - Cloud improves business processes
(90% Leaders)
59% - Cloud stimulates innovation
(93% Leaders)
Source: Forbes Insight / Cisco global survey of 532 Senior Executives
(May 2013)

13. Cloud Computing – barriers
& risks
DATADATA
SECURITYSECURITY
& PRIVACY& PRIVACY
CONCERNSCONCERNS
COMMERCIALCOMMERCIAL
& OPERATIONAL& OPERATIONAL
FACTORSFACTORS
APPLICATIONAPPLICATION
& DATA& DATA
INTEGRATIONINTEGRATION
CHALLENGESCHALLENGES
LEGAL &LEGAL &
REGULATORYREGULATORY
RESTRICTIONSRESTRICTIONS

14. Barriers: Data Security &
Privacy Concerns
 Many organisations are reluctant to allow
their data & applications to be physically
held outside their immediate control
 Moving personal information into the
Cloud may increase the chances of
misuse and security breaches
 BUT… are hosted services less secure
than in-house?

15. Barriers: Legal &
Regulatory Restrictions
 Data protection laws (e.g. EU Data Protection
Acts) restricts where data can be held
physically – default is not outside EU unless
special provisions made
 Industry specific regulations (e.g. Finance) also
restrict where data can be held
 As Cloud hosting is virtual difficult to track and
verify where data is physically held
 If data is misused, who is responsible?

16. Barriers: Commercial &
operational factors
 Reduces CAPEX but some claim higher OPEX will
negate OPEX savings
 Creates a commercial & technical dependency on
the supplier
 Potential for supplier downtime and loss of
service
 Broadband speeds variable – e.g. rural areas
 Immature & volatile market so choosing reliable
and long term providers difficult

17. Barriers: Application &
Data Integration
 Public Cloud customers have to work out how
to integrate existing in house IT investments
with new Cloud services
 Many potential Cloud customers do not have
sufficiently virtualised in-house applications to
enable them to integrate
 Cloud might encourage greater fragmentation
of applications

18. So what’s the impact of Cloud on
Data Governance?
New Data
Quality & Data
Governance
challenges
What do we need
to do?
Changing DQ
and DG roles &
skills

19. Cloud Computing – the DG impact
• DG / DQ will be key to
Cloud migration success –
before, during and after
migration
• Internal and external data
integration will become key
• Could improve DG as fewer
devices will hold data
• Host and application
companies may offer
DQaaS
• Cloud will require an
enhanced focus on data
governance – within and
outside the enterprise
• Organisations may lose
physical control of data
• DG / DQ SLAs (EULAs) will
be needed with data hosts
/ suppliers
• Legal & regulatory
compliance becomes a
major challenge

20. Cloud & new Data Governance: the
changing landscape
PREDOMINANTLY
BATCH DQ
CUSTOMER
ORGANISATION
FOCUS
PROCEDURAL
FOCUS MAINLY
WITHIN
THE ENTERPRISE
THE TRADITIONAL
DG LANDSCAPE
SUPPLIER
ORGANISATION
FOCUS
PREDOMINANTLY
REAL TIME DQ
GROWING FOCUS
OUTSIDE
THE ENTERPRISE
COMMERCIAL
DG LANDSCAPE
IN THE CLOUD

21. Moving to the Cloud –
potential DQ / DG involvement
Preparing data for migration
• Scoping and scaling data to be migrated
• Evaluating its suitability for integration with other data sources
• Undertaking source data rationalization & cleanse
Migrating to the cloud environment
• Profiling data in advance of data migration
• Enhancing data in preparation for migration
• Maintaining DQ during ETL processes
Managing data in the cloud
• Enforcing business rules to be applied in the Cloud environment
• Auditing data to ensure security, adherence and quality
• Supporting data governance activities

22. Cloud Computing – the
future
 Cloud has arrived and will
grow
 Drives & driven by Big Data,
Data Virtualization etc.
 For SMEs Cloud will become
the norm
 Larger organisations likely
to evolve to a Hybrid model,
with a mix of internally and
externally sourced services

23. So what should we as data
management professionals
do to prepare ourselves?
 Understand and get involved in any current
Cloud Computing strategies underway in your
organisation
 Ensure that the data management opportunities
& challenges of Cloud are understood and taken
into account in these strategies
 Participate in due diligence of potential Cloud
suppliers
 Plan for the the new challenges of security,
compliance and governance

24. A final thought…
“It’s not the will to
win but the will to
prepare to win that
makes the
difference”
Bear Bryant – US Football Coach
1913 – 1983

25. Questions
Both Sides Now:
Cloud Computing & Data Governance
25