Ron Shelby, IBM @ the Chief Data Officers Forum ANZ - Sydney, Feb 2015
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Transcript of Ron Shelby, IBM @ the Chief Data Officers Forum ANZ - Sydney, Feb 2015
© 2014 IBM Corporation
The Roadmap to Data-driven Advantage
Ron Shelby Director, Big Data & Analytics IBM Global Business Solutions
1
© 2014 IBM Corporation 3
It’s clear - CEOs want to use data as a basis for competitive advantage.
But where to start?
“The CEO gave me a blank paper to articulate the strategy that would help him move from a retrospective, intuitive approach to proactive marketing management.”
CDO, Insurance
© 2014 IBM Corporation 4
Data needs a leader, and it needs to be a CDO Chief Data Officer perspective
25%
“By 2015, 25% of large global organizations will have appointed Chief Data Officers.”
Gartner Newsroom www.gartner.com/newsroom January 30, 2014
Source: The new hero of big data and analytics: The Chief Data Officer, IBM Institute for Business Value. ©2014 IBM
© 2014 IBM Corporation 5
Mandates driving the CDO span multiple fronts in an organization
Source: The new hero of big data and analytics: The Chief Data Officer, IBM Institute for Business Value. ©2014 IBM
Chief Data Officer perspective
© 2014 IBM Corporation 6
How to be an agent of change for the data era
• Make the case for organizational change
• Create a singular data vision and unify data goals
• Motivate people around you and the data strategy to achieve quick wins
© 2014 IBM Corporation
• Provide data know-how to solve specific business challenges
• Showcase early wins
• Uncover new insights and new ways to use data
• Align efforts to organization’s top priorities
• Establish trust in the data and end-to-end platforms
• Scale analytics and speed delivery by enabling consumers of data and insights
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© 2014 IBM Corporation 7
Customer centricity still dominates analytics activities, but many are also focused on operations
are using data and analytics to improve customer acquisition
are using data and analytics to improve customer experience
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Organizational objectives for use of data and analytics
22%
31%
© 2014 IBM Corporation 8
Envision
Catalyze Make the case for change
Strategize Create unified data vision
Orchestrate Facilitate stakeholder action
Activate
Solve Smaller business challenges
Prove Showcase early wins; art of the possible
Innovate New ways to use data
Prioritize Align larger initiatives to organization’s top priorities
Build Organization-wide data platform and govern it
Accelerate Speed adoption, expansion, re-use of data and analytics
Transform
Roadmap to Data-driven Advantage
© 2014 IBM Corporation 9
A CDO leads an enterprise vision for strategic use of data and analytics
• Providing strategic guidance
• Creating a systematic approach
• Taking an enterprise-wide view
• Developing trusted data
© 2014 IBM Corporation 10
CDOs primary focus is to drive business value from data
Data Leverage Find ways to use existing data assets
Data
Monetization Discover new avenues of earnings and revenue
Data Enrichment Augment data by combining internal and external data
Data Protection Protect data as an asset and prevent the high risk of failure
Data Upkeep Manage the health of the data under governance
Source: The new hero of big data and analytics: The Chief Data Officer, IBM Institute for Business Value. ©2014 IBM
Turning Data into Dollars both a pervasive use of analytics and the technical capabilities to enable them
© 2014 IBM Corporation 11
Envision
Catalyze Make the case for change
Strategize Create unified data vision
Orchestrate Facilitate stakeholder action
Critical need to address data and analytics both: https://www.youtube.com/watch?v=yhdLfWVJfW8
© 2014 IBM Corporation 12
2.8 1.9 2.1 1.8
2.75
3.0
2.5
2.25
2.0
1.75 2.5 2.0 1.5 2.25 1.75
1.6 2.0 2.2 2.3
Keeping up with today’s speed requires both a pervasive use of analytics and the technical capabilities to enable them
Front Runners
Technical capabilities
Pervasiveness
Pilots and implementation
Planning
Limited use across business functions Broad use across business functions
Joggers
The Pack
Spectators
The size of the circle represents the percentage of the respondent population represented by each cluster. n=1086
Speed-driven cluster matrix
© 2014 IBM Corporation 13
Activate
Solve Smaller business challenges
Prove Showcase early wins; art of the possible
Innovate New ways to use data
© 2014 IBM Corporation 14
A CDO is better positioned to activate the entire organization
• Getting closer to customers
• Finding new value
• Going beyond stewardship
• Supporting new basis of competition
© 2014 IBM Corporation 15
Transform
Prioritize Align larger initiatives to organization’s top priorities
Build Organization-wide data platform and govern it
Accelerate Speed adoption, expansion, re-use of data and analytics
© 2014 IBM Corporation 16
A CDO leads the transformation into an analytically driven organization
• Shift to analytically driven decision making
• Treating analytics as a way of life
© 2014 IBM Corporation 17
Transform Process with Content
(COO)
Leverage Context to drive Fraud and Risk
(CRO)
Attract, grow, retain customers
(CMO)
Transform Experience
with Cognitive (CEO)
Mobile First
(CMO/COO)
Improve IT economics
(CIO)
You have chosen a series of Initiatives in your change cases – each with 5 year valuations from $100M-$500M
Cognitive
© 2014 IBM Corporation 18
Contact
• Ron Shelby
• Cortnie Abercrombie
© 2014 IBM Corporation
ibm.com/services/c-suite/cdo
ibm.com/ibmcai/cdostudy
Learn More
Future of the CDO:
https://www.youtube.com/watch?v=wCTbhOzwrs8&list=PLSmatcykxc0kmnmOHgIkTHNP1VwgUw6kI&index
© 2014 IBM Corporation 19
Data Category Description Examples of Data Points
Consumer / Profile data
Unique consumer ID and profile Includes primary identification data such as
contact information, preferences, house hold relationships and addition externally obtained information (if any)
Contains a measurement of the overall consumer value to the company
Consumer Data Consumer Profile Contact Address Email Address Telephone Number Contact Preferences Devices Consumer Overlay (externally provided) Household Related Information Consumer Value
Registration data Data collected at the time of registration with a portal of the company
Includes information on any opt-ins for regular newsletter receipt
Site Registration Details (Web & Mobile) Newsletter Preferences
Social Media data Aggregation of the social media accounts a user has shared or linked with the company
Social media profiles Calculated measures from social media
behavior (affinity, engagement, influencer score etc.)
Social Media ID by Platform Social Media Profile by Platform Engagement with the brand / titles Influencer score
Shared consumer model
Shared Consumer Model
© 2014 IBM Corporation 20
Data Category Description Examples of Data Points
Site Visit data (Web and Mobile)
Detailed data set describing web and mobile site interactions
Site Visit Summary Carrier Used (Mobile) Web Browser Geographical Location Device Used Number of Authentication Attempts
Content Consumption data
Data set specifically used to evaluate a consumer’s interaction with the company’s content
Includes type of content consumed for media channels and Services/Products purchased for eCommerce channels
Summary of Content Consumption Viewing Metrics (image, audio, video), digital
and linear (linear for sample of records through STB data or similar)
Services used Purchase Behavior (eCommerce) User Review
Marketing data Data set used to track and evaluate marketing interactions with specific consumers or consumer segments
Measures the entire marketing lifecycle from reaching out to the consumer, through the consumer response
Marketing Segment Association All In/Outbound Marketing Contact History Campaign Specific Reference History Campaign Specific Communication History Response from Consumer Offer References Email Activity Research Data (Consumer Survey) Media Spend Competitor Site Usage
Shared consumer model
Shared Consumer Model
© 2014 IBM Corporation 21
Data Category Description Examples of Data Points
Advertising data Data set that collects the ads information in the interactions of the consumer
Ad Campaign Interactions Summary (Internal / External sites)
Ad views (Internal / External sites) Ad Click Through (Internal / External
sites)
Other data Other data metrics that can be collected include external factors such as environmental information
Weather conditions
Shared consumer model
Shared Consumer Model
© 2014 IBM Corporation 22
ANZ POV
CDO skill set T shape ….. - Change mgmt. Understanding of business drivers Collaboration & evangelism - Info Governance - Data infrastructure & design - Methods & tools
3 key steps to drive long-term value for CDO - Drive a C-suite mandate - Accelerate data strategy for the enterprise - Reward innovation that drives performance
Areas in which CDS turn data into dollars - Data leverage - Data enrichment - Data monetization - Data protection - Data upkeep
© 2014 IBM Corporation 23
Mark Ramsey’s video https://www.youtube.com/watch?v=yhdLfWVJfW8
YouTube … Transformation:
https://www.youtube.com/watch?v=hmW_yRpOYh0&list=PLSmatcykxc0kmnmOHgIkTHNP1VwgUw6kI
Future of CDO…TD Bank:
https://www.youtube.com/watch?v=wCTbhOzwrs8&list=PLSmatcykxc0kmnmOHgIkTHNP1VwgUw6kI&index=4
Monetize Data: https://www.youtube.com/watch?v=MvjinavbBC0&list=PLSmatcykxc0kmnmOHgIkTHNP1VwgUw6kI&index=3
© 2014 IBM Corporation 24
So, why have a Chief Data Officer?
To envision and direct an overall data and analytics strategy for the business
To activate by using data and analytics to deliver greater value and business impact
To transform the culture to one that is analytically-driven
© 2014 IBM Corporation 24