ai-driven governance in collaboration with...planning data-driven projects to generate value from...
TRANSCRIPT
Grab’n Go
Empower your Chief Data Officer with Smart Services
22 May 2019
AI-driven governance in collaboration with
22
Industry 4.0 Revolution
Past Future2000
Future
Today’s Inflection Point
Classical Data
Management
The “CDO” Role
Industry 4.0
Data Driven Advantage
2010+
From data management to a data advantage perspective
ContinuedTraditional Models
Big Shifts
regulatory and compliance focus
data usage for reaction to crisis
periodic data cleanupshaving good data becomes important
new role for CDO
advent of business analytics
integration of data with the business
digitization of white collar jobs
advances in data science
greater business results
increased spend
companies manage data as an advantage
33
Industry 4.0 Revolution
Past Future2000
Future
Today’s Inflection Point2010+
From data management to a data advantage perspective
ContinuedTraditional Models
Big Shifts
“Gartner estimates that by 2021, the office of the CDO will be an integral function,
comparable to IT, business operations, HR, and finance in 75% of large enterprises.”
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Executive level alignment
Leader who can deliver and perform multiple roles:
• Operator
• Catalyst
• Technologist
• Strategist
New talent model support
A successful office of the CDO needs:
Overcoming challenges to get to a data advantage perspective
Critical Role of CDO Leadership
Copyright © 2018 Deloitte Development LLC. All rights reserved. 5
Ensure data project deliver value
In the race for competing priorities, companies
should create a value map based on areas of
enterprise data to visualize data to value
relationships and prioritize the data areas to target
Allocate approx. 10% of Capex Data
As the role of data management is
increasing, it is important that companies
are spending enough on resources who
make sure data serves business needs
CDO Executive Leader
The Chief Data Officer (CDO) role is quickly transforming and emerging as a critical enabler among the leadership team. CDOs are tasked with enhancing executive decision making, improving operational efficiency and empowering innovation.
Big Shifts In Data Strategy
Achieving Data
Advantage
CDO/Exec.
Leadership
Business
and Value
Outcomes
Data
Function
Funding
Accelerate business through a data advantage perspective
66Chief Data Officer Smart Services
North Americas
Europe
Public TechFinancial Services
Pharma
The Chief Data Officer is an evolving role – in its infancy in Europe – most mature in North America within Public, FSI, Pharma and Tech companies.
The rise of the Chief Data Officer
77Chief Data Officer Smart Services
Transformational Leader & Innovator
CDO 2.0CDO 3.0
CDO 4.X
Business Enabler CDO + Analytics
Business Strategy Enabler“Insight Driven Organization”
- 2015
2016 - 2017Starting now..
Role focused on facing off to regulators
Responsibilities mainly towards improving data quality, availability and compliance
CDO emerges as an enabler supporting growth, cost reduction, and risk reduction strategies.
Emergence of the role as a data and analytics empowered strategic leader.
Focus on innovation in leveraging emerging technologies to solve the data and analytics challenge
Is a business enabler to the CFO, CRO, COO and LOB executives
Data aware and analytics driven towards an “Insight Driven Organization.
The Chief Data Officer will champion insight driven organizations
The rapid development of the CDO role
88
Is it really that simple and solely a success story? The Chief Data Officer has one of the most challenging jobs to get done: clean up the mess of decades of legacy, history and emotional connections with what was..
Source: Gartner, The third annual Gartner Chief Data Officer survey
“
“Organizations need support in developing and defining the role to fit their unique cultural and organizational objectives.”Gartner
50 per cent of these CDO’s will be seen to fail
90 per cent of large companies will have a chief data officer by
the end of 2019
Majority of the CDO’s stop within24 months
90% 50% 24 months
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NAVIGATING THE CHIEF DATA OFFICER ON THE ROAD TO A DATA-DRIVEN ORGANIZATION
Shifting from incremental siloed initiatives to a holistic data journey characterized by leadership, commitment, inclusion, engagement and collaboration
Getting our basics right
Industry Insights
Business Strategy
Stakeholder Landscape
Data Strategy
Data Governance
Data Architecture
Data Quality
Data Accessibility
Data culture & change readiness
Data Utilization Use Cases
Optimize & Innovate
The CDO building blocks for
sustainable success
Data Landscape
Technology landscape
Third Parties
Cyber security, Privacy & Ethics
Understand the environment
Understand where we are
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What Deloitte’s CDO Smart Services can do The CDO-as-a-service model is a turnkey service that delivers an end-to-end team that will immediately begin to assess, prioritize and address the transformational data issues for your organization
CDO-Smart
Services
Operating model design of CDO office & relationship with other C-suite executives
Developing overall CDO vision and strategy and change management approach
Implementing and/or running of CDO office, including defining skills and recruiting
Assisting in execution and management of strategic initiatives & realization of data value
Periodic audits and maturity & compliance assessments
Why CDO-Smart Services ?
1
2
3
4
5
Need for a cross-functional data vision and strategy
Understanding need to operate as a data-driven organization
Lack of clarity on CDO reporting structure or support model
Concerns about data quality impact on regulatory compliance
Desire to make data an enterprise-wide asset
What does CDO-Smart Services offer?
Data value realization opportunities
Modernized data operations
CDO office with the right goals and tools
Mitigation of regulatory risks
CDO-Smart Services Organization Impact
22nd May 2019
From Data Management to Data Advantage
Arne Löfgren
Alliance lead Nordics
We’re at a Tipping Point
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~80% of leaders
Sources: RightScale, Gartner, Compuware
will adopt self-
service BI
initiatives
looking at multi-
cloud strategy,
averaging about 5
clouds
define
data/analytics
strategy as top CDO
responsibility
say in 2 years
companies will
compete on
customer experience
admit they don’t
know where all their
customer data
resides
Are you building a
data-drivenintelligent
enterprise for the future?
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CDO challenges- What does CDO smart services have to solve
1. Need for a cross functional data vision and strategy
2. Understanding need to operate as a data driven organization
3. Lack of clarity on CDO reporting structures or support model
4. Concerns about data quality impact on regulatory compliance n
5. Desire to make data an enterprise wide asset
1. How to track and communicate value connected to processes and strategy
2. Create an operational Data Goverance process
3. Clarify and Visualize priority areas n
4. Visualize the system environment and potential risks connected to compliance policies
5. Categorize, validate and communicate available data assets to the organisation
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Digital Transformation: Powered by DataHow do we make data an asset?
53% 78% 71% 90%IT decision-
makers are
planning data-
driven projects
to generate
value from
existing data
report that big
data could
fundamentally
change the
way their
company does
business
feel strongly
that data will
create new
revenue
streams & lines
of business
within three
years
of the CIOs
surveyed
believe in
Digital
Transformation
Source: IDG & CIO.com Survey
Only 15%
are executing
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TransparencyValue
ChangeRoles
SkillsUnderstandingSilos
VisionAlignment to the Business
What’s holding you back?And do you have a plan for overcoming these obstacles?
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Data must be easy to find and understand to ease compliance
Rapid Collaborative
Innovation
Regulatory Requirements
Ease of compliance
Technical data search and view for IT
Contextual data search and view for business
R&D Production & Supply Chain
Commercial Devices & Social
Partnerships & Outsourcing
Data must be easy to find and understand to ease compliance & regulatory requirements
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The Good newsMuch of what we need already exists, or can be discovered
What we know
• Biz Processes
• Project plans
• Regulations
What we think
we know
• Talk to ‘experts’
superuser
• Poll the team
What we can
discover
• Manual
• Existing tools
• Automation
Reusable Discoverable Discoverable
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COMPUTE
MONITOR AND MANAGE
Usage Operational
Technical Business
How can you Connect and DiscoverUtilize the Value of Metadata Intelligence and AI
Exploiting Metadata through AI and Automation
Self-service data discovery with AI
Intelligent recommendations
Catalog-driven intelligent development
Self-integrating, self-healing systems
AI to cluster data (Like Photo Tagging)
Intelligent semantic search, 360 view
aug
me
nta
tio
n
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Intelligent Data Governance principlesPowering Digital Transformation
1. Enable collaboration across stakeholders to collect the knowledge and context
already in a business
2. Realise governance by connecting policy efforts with the technical and
operational efforts
3. Enable the data governance stakeholder to act with authority and confidence
to achieve measurable results with searchable and actionable enterprise views
4. Empower the data governance stakeholder to always be in control by monitoring
and reporting attainment over time in the right business context
5. Democratise data access for all with the right user experiences spanning non-
technical business users to IT
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Intelligent Data Governance drives business valueThe CDO role needs to control and balance this process
Collaboration
• Getting the Business and IT collaborating around data
Data Landscape
• Really understand your data landscape
Change
• Supporting change, when change is the only constant
Value
• How data governance drives business value
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So why is this important?Data related change happens often and in many different areas
Processes Projects Regulations
Systems Applications
How do we glue this together?
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Clue: Connect what you knowConnect as much, or as little, as needed
Regulation
Policy
Process
Glossary
System
Dataset
Data
Project
Data Quality
StakeholderRole
Legal EntityGeography
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Adoption ProcessIt’s a simple, 3 step process
Start Small
• Small projects
• Value recipients
• Timing &
Comms
Think Big
• Long term
vision
• Data centric
• Change
Scale Fast
• Ramp up
• Adjacency
• New projects
InSummary
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Data must be easy to find and understand to ease compliance
Rapid Collaborative
Innovation
Regulatory Requirements
Ease of compliance
Technical data search and view for IT
Contextual data search and view for business
R&D Production & Supply Chain
Commercial Devices & Social
Partnerships & Outsourcing
Ideas & Innovation
New Business Models
Data must be easy to find and understand to ease compliance & power digital transformation
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What does the CDO role have to solve- Applied with Informatica tools
Requirements and actions Informatica Intelligence
1. Need for a cross functional data vision and strategy
2. Understanding need to operate as a data driven organization
3. Lack of clarity on CDO reporting structures or support model
4. Concerns about data quality impact on regulatory compliance n
5. Desire to make data an enterprise wide asset
1. How to track and communicate value connected to processes and strategy
2. Create an operational Data Goverance process
3. Clarify and Visualize priority areas n
4. Visualize the system environment and potential risks connected to compliance policies
5. Categorize, validate and communicate available data assets to the organisation
• Streaming Data Management
• Hybrid Cloud Data Management
• AI data tagging & lineage
• AI Data Governance
Innovate and Develop
Tomorrow
Applied IntelligenceApply and amplify intelligence through
sophisticated algorithms and automations by harnessing data in a
modern hybrid environment
True Potential
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Past Future
2020
Today’s
Inflection Point
Classical Data
Management
The “CDO”
Role
Industry 4.0
Data Driven
Advantage
2010+
From data management to a data advantage perspective
Continued
Traditional Models
Big Shifts
2929
Building a Successful CDO FunctionThere are four critical building blocks that are essential to empowering the CDO and aligning the function with business priorities:
CDO-SmartServices
CDO Priorities and Relationships
CDO Strategy & Periodic Health Check
CDO Organization Talent Development
Data Business Value Realization
Data Priorities
Data Insights
Data Engineering
Data Platforms
3030
What can you do next?The CDO is here to stay. As the impact and value of the role is being understood and recognized, it is important to develop an awareness of your current capabilities and develop a course of action.
Where are we today? What do we need to do?Where could we be going?
Plan
• Understand the needs of your business partners
• Build a governance practice to treat data as an asset
• Plan for the long term and develop a roadmap for the short term
Assess
• Assess your current data capabilities
• Build a catalog of your data and digital assets
• Review the state of your organization
Execute
• Prioritize potential projects
• Start small to demonstrate value
• Automate as much as possible to achieve high reliability and consistent quality
• Consider if you need external support to get the ball rolling
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Contacts
Thomas HolmenManager
T: +45 51 39 30 25 E: [email protected]
Arne LöfgrenPartner Manager Alliances Nordic
T: +46 766 26 77 20E: [email protected]
Join our CDO- survey
Be a member in our CDO network
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What does CDO smart services have to solve
- Using Informatica tools
Requirements and actions Informatica platform
1. Need for a cross functional data vision and strategy
2. Understanding need to operate as a data driven organization
3. Lack of clarity on CDO reporting structures or support model
4. Concerns about data quality impact on regulatory compliance n
5. Desire to make data an enterprise wide asset
1. How to track and communicate value connected to processes and strategy
2. Create an operational Data Goverance process
3. Clarify and Visualize priority areas n
4. Visualize the system environment and potential risks connected to compliance policies
5. Categorize, validate and communicate available data assets to the organisation