SlideShare a Scribd company logo
1 of 18
Download to read offline
Katrina Read
Analytics Client Architect Leader
IBM Asia Pacific
The Chief Data Officer:
Tomorrow’s corporate rockstar
@katsinsight
katsinsight.com
CHIEF DATA OFFICER FORUM, Melbourne
Data is the basis
of competitive
advantage
CHIEF DATA OFFICER FORUM, Melbourne
The Insight
Economy
CHIEF DATA OFFICER FORUM, Melbourne
. . . across all industries, all geographies, organisations of all sizes
Data is fueling analytics-based innovation
Petrol
Banking
/ FSS
Client
CHIEF DATA OFFICER FORUM, Melbourne
Organisations at the forefront are
investing in highly skilled data
leaders and moving ahead rapidly to
capture new value from data.
“We need to start selling the conversation around
data as a strategic business asset, it’s not an IT
problem; it’s actually a business problem.”
-- CDO, Finance
CHIEF DATA OFFICER FORUM, Melbourne
Those steered by data leaders are seeing business benefits…
A research institute
implemented a four-step
analytics endorsement process
that drove the success rate
of clinical research up 30%
An insurance firm discovered
patterns in claims information
to decrease fraud, worth
$90 million per one percent
in reduction
A manufacturing company
generated an extra $2M in
revenue through newly built
tools that predict customer
needs
A major city synthesized data
sources to predict early
release prisoners’ propensity
to re-commit
a crime
A contract research
organization built an advanced
platform for clinical data
integration that cuts patient
recruitment period by six
months
A hospital accelerated
appointments for patients
based on their forecasted
likelihood for
pre-admission
CHIEF DATA OFFICER FORUM, Melbourne
To achieve data-driven success, data leaders need to help the business by
overcoming challenges, taking new approaches and driving action
Collaboration is key when
helping the business leverage
data as a strategic asset. Data
initiatives are most successful
when business stakeholders are
included in the transition process
and clearly understand the end
benefits.
Companies can dream of
cutting-edge analytical
capabilities, but those goals will
remain imaginary without the
personnel to execute their
vision. To combat the dearth of
available talent, data leaders
have started training their
existing employees.
Companies cannot unlock the
full potential of their information
if it is isolated in disparate
locations. By allowing for the
combination of data sources,
businesses are unlocking new
insights.
The payoff: Better business outcomes
CHIEF DATA OFFICER FORUM, Melbourne
1 Make data a priority
CHIEF DATA OFFICER FORUM, Melbourne
Data leaders help the business make data a priority in order to leverage it
as a strategic business asset
Undervaluation of data
“As more data is available to the business, there are going to be missed opportunities and innovations
because the business just doesn’t understand the data or the value of the data it has.”
– CDO, Finance
Collaborate for an enterprise-wide data strategy
“We’re trying to go to leadership and figure out what’s critical to their operations. We ask about timeliness,
consistency and usability. Those teams are now more energised to partner.”
– VP of Enterprise Data Management, Healthcare
Seek endorsement from executive sponsors
“I formed a global leadership team roughly representing our 12 top offices in terms of revenue by
determining the local data and analytics leaders – who’s the subject matter expert, who has the most client
experience, who has the right social expertise? So that's working really, really well.”
– CDO, Media and Advertising
CHALLENGE
APPROACH
ACTION
CHIEF DATA OFFICER FORUM, Melbourne
A media CDO earned buy-in from local leaders to create an enterprise-
wide data strategy that is seamlessly applied in new offices
“Because I went to all of the local
leaders and got their buy-in, it’s been
really successful. It was collaborative
from the very beginning. The data
strategy looks very similar now across
geographies, when even a year ago
we couldn’t make any sense out of it at
all.”
-- CDO, Media and Advertising
CHIEF DATA OFFICER FORUM, Melbourne
Develop from within
2
CHIEF DATA OFFICER FORUM, Melbourne
Data leaders seek and develop skillsets from within in order to execute
their vision
Shortage of the right data talent
“We’re looking for people who have that combo package – who have that mindset of an analyst and the
technical skills of a developer.”
– VP of Enterprise Data Management, Healthcare
Look for potential, not perfection
“We’re going to find people who want to learn. If they can have three out of five of the key skills and show
aptitude in the other two, then we’ll take the time to train them.”
– VP of Enterprise Architecture, Insurance
Create learning opportunities
“This past fall, we launched a Data Academy. It’s basically a training curriculum on anything from Excel all
the way up to information design, data management or data usability. Every class is booked out with waiting
lists – people love them.”
– CDO, major US city
CHALLENGE
APPROACH
ACTION
CHIEF DATA OFFICER FORUM, Melbourne
A government CDO created a data academy to develop skills and
standardise analytical capabilities across a decentralised team
“The city is decentralised, and there are
a lot of analytical people out there who
need to be refreshed or learn how to be
more efficient or learn new skills. So we
use the Data Academy to address the
data skills and capacity gaps we see
across the City.”
-- CDO, major US city
CHIEF DATA OFFICER FORUM, Melbourne
3 Free the data
CHIEF DATA OFFICER FORUM, Melbourne
Data leaders free the data and allow for the combination of data sources
to uncover insights
Insufficient utilisation of data
“You’d think we have a 360-degree view of our customers, but we really don’t. We know what policies and
claims we have, but we can’t link all of that information without having to dive into ten different systems.”
– VP of Enterprise Architecture, Insurance
Increase sharing of data
“Know what data exists, be able to effectively and efficiently access that data, and then be able to get to it
effectively. This capability falls in the knowledge bucket.”
– CDO, major US city
Invest in holistic data solutions
“Our tool gives immediate, contextualised and integrated access to all the data, past and present,
operational and clinical, in one place, from anywhere on the planet, any minute of the day. If you use this
information wisely, you can save six months on a clinical trial.”
– CDO, Pharmaceuticals
CHALLENGE
APPROACH
ACTION
CHIEF DATA OFFICER FORUM, Melbourne
A CDO at a research organisation designed a platform that accelerates
clinical trials, leading to big deals with pharma companies
“We’re on the verge of signing up yet
another provider for a deal the likes of
which the industry has never seen
before. That has a direct, measurable,
quantifiable impact on the company’s
top line.”
-- CDO, Pharmaceuticals
CHIEF DATA OFFICER FORUM, Melbourne
1
3
Make data a priority
Develop from within
Free the data
2
CHIEF DATA OFFICER FORUM, Melbourne
IBM, the IBM logo, and ibm.com are trademarks of IBM Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies.
A current list of IBM trademarks is available on the web at “Copyright and trademark information” at ibm.com/legal/copytrade.shtml. © Copyright IBM Corporation 2015.
ibm.biz/chiefdataofficer

More Related Content

What's hot

MIT ICIQ 2017 Keynote: Data Governance and Data Capitalization in the Big Dat...
MIT ICIQ 2017 Keynote: Data Governance and Data Capitalization in the Big Dat...MIT ICIQ 2017 Keynote: Data Governance and Data Capitalization in the Big Dat...
MIT ICIQ 2017 Keynote: Data Governance and Data Capitalization in the Big Dat...Pieter De Leenheer
 
New Analytic Uses of Master Data Management in the Enterprise
New Analytic Uses of Master Data Management in the EnterpriseNew Analytic Uses of Master Data Management in the Enterprise
New Analytic Uses of Master Data Management in the EnterpriseDATAVERSITY
 
Data Profiling: The First Step to Big Data Quality
Data Profiling: The First Step to Big Data QualityData Profiling: The First Step to Big Data Quality
Data Profiling: The First Step to Big Data QualityPrecisely
 
Building an Intelligent Supply Chain Frankfurt Supply Chain Interests Group 2002
Building an Intelligent Supply Chain Frankfurt Supply Chain Interests Group 2002Building an Intelligent Supply Chain Frankfurt Supply Chain Interests Group 2002
Building an Intelligent Supply Chain Frankfurt Supply Chain Interests Group 2002Michael Cairns
 
Enterprise Data World Webinar: A Strategic Approach to Data Quality
Enterprise Data World Webinar: A Strategic Approach to Data Quality Enterprise Data World Webinar: A Strategic Approach to Data Quality
Enterprise Data World Webinar: A Strategic Approach to Data Quality DATAVERSITY
 
Competing IT Priorities - An Operating Model for Data Stewardship and Busines...
Competing IT Priorities - An Operating Model for Data Stewardship and Busines...Competing IT Priorities - An Operating Model for Data Stewardship and Busines...
Competing IT Priorities - An Operating Model for Data Stewardship and Busines...Jaleann M McClurg MPH, CSPO, CSM, DTM
 
Develop and Implement an Effective Data Management Strategy and Roadmap
Develop and Implement an Effective Data Management Strategy and Roadmap Develop and Implement an Effective Data Management Strategy and Roadmap
Develop and Implement an Effective Data Management Strategy and Roadmap Info-Tech Research Group
 
Data Insights and Analytics: The Importance of Effective Communications in An...
Data Insights and Analytics: The Importance of Effective Communications in An...Data Insights and Analytics: The Importance of Effective Communications in An...
Data Insights and Analytics: The Importance of Effective Communications in An...DATAVERSITY
 
Hiring and Developing Analytics Talent in the CPG and Retail Industry - Mohi...
 Hiring and Developing Analytics Talent in the CPG and Retail Industry - Mohi... Hiring and Developing Analytics Talent in the CPG and Retail Industry - Mohi...
Hiring and Developing Analytics Talent in the CPG and Retail Industry - Mohi...Molly Alexander
 
Big Data Strategy
Big Data StrategyBig Data Strategy
Big Data StrategyHeru Sutadi
 
How to Create and Manage a Successful Analytics Organization
How to Create and Manage a Successful Analytics OrganizationHow to Create and Manage a Successful Analytics Organization
How to Create and Manage a Successful Analytics OrganizationDATAVERSITY
 
Getting down to business on Big Data analytics
Getting down to business on Big Data analyticsGetting down to business on Big Data analytics
Getting down to business on Big Data analyticsThe Marketing Distillery
 
TiE DC GovCon Panel on Emerging Technologies: AI/ML/Blockchain/Data Managemen...
TiE DC GovCon Panel on Emerging Technologies: AI/ML/Blockchain/Data Managemen...TiE DC GovCon Panel on Emerging Technologies: AI/ML/Blockchain/Data Managemen...
TiE DC GovCon Panel on Emerging Technologies: AI/ML/Blockchain/Data Managemen...Pieter De Leenheer
 
Self-Service Analytics Framework - Connected Brains 2018
Self-Service Analytics Framework - Connected Brains 2018Self-Service Analytics Framework - Connected Brains 2018
Self-Service Analytics Framework - Connected Brains 2018LoQutus
 
How different between Big Data, Business Intelligence and Analytics ?
How different between Big Data, Business Intelligence and Analytics ?How different between Big Data, Business Intelligence and Analytics ?
How different between Big Data, Business Intelligence and Analytics ?Thanakrit Lersmethasakul
 
Fuel your Data-Driven Ambitions with Data Governance
Fuel your Data-Driven Ambitions with Data GovernanceFuel your Data-Driven Ambitions with Data Governance
Fuel your Data-Driven Ambitions with Data GovernancePedro Martins
 
Smart Data Webinar: Knowledge as a Service
Smart Data Webinar: Knowledge as a ServiceSmart Data Webinar: Knowledge as a Service
Smart Data Webinar: Knowledge as a ServiceDATAVERSITY
 
Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...
Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...
Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...DATAVERSITY
 

What's hot (20)

MIT ICIQ 2017 Keynote: Data Governance and Data Capitalization in the Big Dat...
MIT ICIQ 2017 Keynote: Data Governance and Data Capitalization in the Big Dat...MIT ICIQ 2017 Keynote: Data Governance and Data Capitalization in the Big Dat...
MIT ICIQ 2017 Keynote: Data Governance and Data Capitalization in the Big Dat...
 
New Analytic Uses of Master Data Management in the Enterprise
New Analytic Uses of Master Data Management in the EnterpriseNew Analytic Uses of Master Data Management in the Enterprise
New Analytic Uses of Master Data Management in the Enterprise
 
Data Profiling: The First Step to Big Data Quality
Data Profiling: The First Step to Big Data QualityData Profiling: The First Step to Big Data Quality
Data Profiling: The First Step to Big Data Quality
 
Building an Intelligent Supply Chain Frankfurt Supply Chain Interests Group 2002
Building an Intelligent Supply Chain Frankfurt Supply Chain Interests Group 2002Building an Intelligent Supply Chain Frankfurt Supply Chain Interests Group 2002
Building an Intelligent Supply Chain Frankfurt Supply Chain Interests Group 2002
 
Enterprise Data World Webinar: A Strategic Approach to Data Quality
Enterprise Data World Webinar: A Strategic Approach to Data Quality Enterprise Data World Webinar: A Strategic Approach to Data Quality
Enterprise Data World Webinar: A Strategic Approach to Data Quality
 
Competing IT Priorities - An Operating Model for Data Stewardship and Busines...
Competing IT Priorities - An Operating Model for Data Stewardship and Busines...Competing IT Priorities - An Operating Model for Data Stewardship and Busines...
Competing IT Priorities - An Operating Model for Data Stewardship and Busines...
 
Data Quality
Data QualityData Quality
Data Quality
 
Develop and Implement an Effective Data Management Strategy and Roadmap
Develop and Implement an Effective Data Management Strategy and Roadmap Develop and Implement an Effective Data Management Strategy and Roadmap
Develop and Implement an Effective Data Management Strategy and Roadmap
 
Data Insights and Analytics: The Importance of Effective Communications in An...
Data Insights and Analytics: The Importance of Effective Communications in An...Data Insights and Analytics: The Importance of Effective Communications in An...
Data Insights and Analytics: The Importance of Effective Communications in An...
 
Hiring and Developing Analytics Talent in the CPG and Retail Industry - Mohi...
 Hiring and Developing Analytics Talent in the CPG and Retail Industry - Mohi... Hiring and Developing Analytics Talent in the CPG and Retail Industry - Mohi...
Hiring and Developing Analytics Talent in the CPG and Retail Industry - Mohi...
 
Big Data Strategy
Big Data StrategyBig Data Strategy
Big Data Strategy
 
How to Create and Manage a Successful Analytics Organization
How to Create and Manage a Successful Analytics OrganizationHow to Create and Manage a Successful Analytics Organization
How to Create and Manage a Successful Analytics Organization
 
Getting down to business on Big Data analytics
Getting down to business on Big Data analyticsGetting down to business on Big Data analytics
Getting down to business on Big Data analytics
 
Information Security Forum (ISF) Congress 2013
Information Security Forum (ISF) Congress 2013 Information Security Forum (ISF) Congress 2013
Information Security Forum (ISF) Congress 2013
 
TiE DC GovCon Panel on Emerging Technologies: AI/ML/Blockchain/Data Managemen...
TiE DC GovCon Panel on Emerging Technologies: AI/ML/Blockchain/Data Managemen...TiE DC GovCon Panel on Emerging Technologies: AI/ML/Blockchain/Data Managemen...
TiE DC GovCon Panel on Emerging Technologies: AI/ML/Blockchain/Data Managemen...
 
Self-Service Analytics Framework - Connected Brains 2018
Self-Service Analytics Framework - Connected Brains 2018Self-Service Analytics Framework - Connected Brains 2018
Self-Service Analytics Framework - Connected Brains 2018
 
How different between Big Data, Business Intelligence and Analytics ?
How different between Big Data, Business Intelligence and Analytics ?How different between Big Data, Business Intelligence and Analytics ?
How different between Big Data, Business Intelligence and Analytics ?
 
Fuel your Data-Driven Ambitions with Data Governance
Fuel your Data-Driven Ambitions with Data GovernanceFuel your Data-Driven Ambitions with Data Governance
Fuel your Data-Driven Ambitions with Data Governance
 
Smart Data Webinar: Knowledge as a Service
Smart Data Webinar: Knowledge as a ServiceSmart Data Webinar: Knowledge as a Service
Smart Data Webinar: Knowledge as a Service
 
Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...
Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...
Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...
 

Viewers also liked

PROCESO ENFERMERO PATOLOGÍA HERNIO-PLASTIA.
PROCESO ENFERMERO PATOLOGÍA HERNIO-PLASTIA.PROCESO ENFERMERO PATOLOGÍA HERNIO-PLASTIA.
PROCESO ENFERMERO PATOLOGÍA HERNIO-PLASTIA.Teniente Fantasma
 
The mobile-enabled consumer
The mobile-enabled consumerThe mobile-enabled consumer
The mobile-enabled consumerKatrina Read
 
PROCESO ENFERMERO DE ALZHEIMER.
PROCESO ENFERMERO DE ALZHEIMER.PROCESO ENFERMERO DE ALZHEIMER.
PROCESO ENFERMERO DE ALZHEIMER.Teniente Fantasma
 
PROCESO ENFERMERO DE ALZHEIMER.
PROCESO ENFERMERO DE ALZHEIMER.PROCESO ENFERMERO DE ALZHEIMER.
PROCESO ENFERMERO DE ALZHEIMER.Teniente Fantasma
 
An 812 guide - Tell me how you create a brand?
An 812 guide - Tell me how you create a brand?An 812 guide - Tell me how you create a brand?
An 812 guide - Tell me how you create a brand?Lindsay Tucker
 
PROCESO ENFERMERO DE ALZHEIMER.
PROCESO ENFERMERO DE ALZHEIMER.PROCESO ENFERMERO DE ALZHEIMER.
PROCESO ENFERMERO DE ALZHEIMER.Teniente Fantasma
 
Transforming assessment and feedback with technology - Jisc Digifest 2016
Transforming assessment and feedback with technology - Jisc Digifest 2016Transforming assessment and feedback with technology - Jisc Digifest 2016
Transforming assessment and feedback with technology - Jisc Digifest 2016Jisc
 
The Transformational Play for Utilities
The Transformational Play for UtilitiesThe Transformational Play for Utilities
The Transformational Play for Utilitiesaccenture
 

Viewers also liked (12)

PROCESO ENFERMERO PATOLOGÍA HERNIO-PLASTIA.
PROCESO ENFERMERO PATOLOGÍA HERNIO-PLASTIA.PROCESO ENFERMERO PATOLOGÍA HERNIO-PLASTIA.
PROCESO ENFERMERO PATOLOGÍA HERNIO-PLASTIA.
 
The mobile-enabled consumer
The mobile-enabled consumerThe mobile-enabled consumer
The mobile-enabled consumer
 
PROCESO ENFERMERO DE ALZHEIMER.
PROCESO ENFERMERO DE ALZHEIMER.PROCESO ENFERMERO DE ALZHEIMER.
PROCESO ENFERMERO DE ALZHEIMER.
 
eto na (part 2) (1)
eto na (part 2) (1)eto na (part 2) (1)
eto na (part 2) (1)
 
PROCESO ENFERMERO DE ALZHEIMER.
PROCESO ENFERMERO DE ALZHEIMER.PROCESO ENFERMERO DE ALZHEIMER.
PROCESO ENFERMERO DE ALZHEIMER.
 
resume for job
resume for jobresume for job
resume for job
 
An 812 guide - Tell me how you create a brand?
An 812 guide - Tell me how you create a brand?An 812 guide - Tell me how you create a brand?
An 812 guide - Tell me how you create a brand?
 
PROCESO ENFERMERO DE ALZHEIMER.
PROCESO ENFERMERO DE ALZHEIMER.PROCESO ENFERMERO DE ALZHEIMER.
PROCESO ENFERMERO DE ALZHEIMER.
 
Transforming assessment and feedback with technology - Jisc Digifest 2016
Transforming assessment and feedback with technology - Jisc Digifest 2016Transforming assessment and feedback with technology - Jisc Digifest 2016
Transforming assessment and feedback with technology - Jisc Digifest 2016
 
Diagnóstico del ECM
Diagnóstico del ECMDiagnóstico del ECM
Diagnóstico del ECM
 
The Transformational Play for Utilities
The Transformational Play for UtilitiesThe Transformational Play for Utilities
The Transformational Play for Utilities
 
Chemical Engineer
Chemical EngineerChemical Engineer
Chemical Engineer
 

Similar to The Chief Data Officer: Tomorrow's Corporate Rockstar

Teaching organizations to fish in a data-rich future: Stories from data leaders
Teaching organizations to fish in a data-rich future: Stories from data leadersTeaching organizations to fish in a data-rich future: Stories from data leaders
Teaching organizations to fish in a data-rich future: Stories from data leadersAmanda Sirianni
 
Cost & benefits of business analytics marshall sponder
Cost & benefits of business analytics marshall sponderCost & benefits of business analytics marshall sponder
Cost & benefits of business analytics marshall sponderMarshall Sponder
 
Driving A Data-Centric Culture: A Bottom Up Opportunity
Driving A Data-Centric Culture: A Bottom Up OpportunityDriving A Data-Centric Culture: A Bottom Up Opportunity
Driving A Data-Centric Culture: A Bottom Up OpportunityPlatfora
 
Driving a data-centric culture: a bottom-up opportunity
Driving a data-centric culture: a bottom-up opportunityDriving a data-centric culture: a bottom-up opportunity
Driving a data-centric culture: a bottom-up opportunityThe Economist Media Businesses
 
Tuesday's Leaders. Enabling Big Data, a Boston Consulting Group Report.
Tuesday's Leaders. Enabling Big Data, a Boston Consulting Group Report.Tuesday's Leaders. Enabling Big Data, a Boston Consulting Group Report.
Tuesday's Leaders. Enabling Big Data, a Boston Consulting Group Report.BURESI
 
District Office of Info and KM - Proposed - by Joel Magnussen - 2004
District Office of Info and KM - Proposed - by Joel Magnussen - 2004District Office of Info and KM - Proposed - by Joel Magnussen - 2004
District Office of Info and KM - Proposed - by Joel Magnussen - 2004Peter Stinson
 
00 14092011-0900-derick-de leo
00 14092011-0900-derick-de leo00 14092011-0900-derick-de leo
00 14092011-0900-derick-de leoguiabusinessmedia
 
Modern Finance and Best Use of Analytics - Oracle Accenture Case Study
Modern Finance and Best Use of Analytics - Oracle Accenture Case StudyModern Finance and Best Use of Analytics - Oracle Accenture Case Study
Modern Finance and Best Use of Analytics - Oracle Accenture Case StudyJames Hartshorn FIRP MIoD
 
Driving A Data-Centric Culture: The Leadership Challenge
Driving A Data-Centric Culture: The Leadership ChallengeDriving A Data-Centric Culture: The Leadership Challenge
Driving A Data-Centric Culture: The Leadership ChallengePlatfora
 
Harnessing big data for improved decision making
Harnessing big data for improved decision makingHarnessing big data for improved decision making
Harnessing big data for improved decision makingThe Marketing Distillery
 
The value of big data
The value of big dataThe value of big data
The value of big dataSeymourSloan
 
Enabling Success With Big Data - Driven Talent Acquisition
Enabling Success With Big Data - Driven Talent AcquisitionEnabling Success With Big Data - Driven Talent Acquisition
Enabling Success With Big Data - Driven Talent AcquisitionDavid Bernstein
 
IBM 20th Global C-Suite Study - Build Your Trust Advantage
IBM 20th Global C-Suite Study - Build Your Trust AdvantageIBM 20th Global C-Suite Study - Build Your Trust Advantage
IBM 20th Global C-Suite Study - Build Your Trust AdvantageMark Terry
 
Data Science - Part I - Sustaining Predictive Analytics Capabilities
Data Science - Part I - Sustaining Predictive Analytics CapabilitiesData Science - Part I - Sustaining Predictive Analytics Capabilities
Data Science - Part I - Sustaining Predictive Analytics CapabilitiesDerek Kane
 
Guide to Data Analytics: The Trend That's Reshaping the Insurance Industry
 Guide to Data Analytics: The Trend That's Reshaping the Insurance Industry Guide to Data Analytics: The Trend That's Reshaping the Insurance Industry
Guide to Data Analytics: The Trend That's Reshaping the Insurance IndustryApplied Systems
 
Analytics Isn’t Enough To Create A Data–Driven Culture
Analytics Isn’t Enough To Create A Data–Driven CultureAnalytics Isn’t Enough To Create A Data–Driven Culture
Analytics Isn’t Enough To Create A Data–Driven CultureaNumak & Company
 

Similar to The Chief Data Officer: Tomorrow's Corporate Rockstar (20)

Teaching organizations to fish in a data-rich future: Stories from data leaders
Teaching organizations to fish in a data-rich future: Stories from data leadersTeaching organizations to fish in a data-rich future: Stories from data leaders
Teaching organizations to fish in a data-rich future: Stories from data leaders
 
Cost & benefits of business analytics marshall sponder
Cost & benefits of business analytics marshall sponderCost & benefits of business analytics marshall sponder
Cost & benefits of business analytics marshall sponder
 
CDO IBM
CDO IBMCDO IBM
CDO IBM
 
Driving A Data-Centric Culture: A Bottom Up Opportunity
Driving A Data-Centric Culture: A Bottom Up OpportunityDriving A Data-Centric Culture: A Bottom Up Opportunity
Driving A Data-Centric Culture: A Bottom Up Opportunity
 
Driving a data-centric culture: a bottom-up opportunity
Driving a data-centric culture: a bottom-up opportunityDriving a data-centric culture: a bottom-up opportunity
Driving a data-centric culture: a bottom-up opportunity
 
Tuesday's Leaders. Enabling Big Data, a Boston Consulting Group Report.
Tuesday's Leaders. Enabling Big Data, a Boston Consulting Group Report.Tuesday's Leaders. Enabling Big Data, a Boston Consulting Group Report.
Tuesday's Leaders. Enabling Big Data, a Boston Consulting Group Report.
 
District Office of Info and KM - Proposed - by Joel Magnussen - 2004
District Office of Info and KM - Proposed - by Joel Magnussen - 2004District Office of Info and KM - Proposed - by Joel Magnussen - 2004
District Office of Info and KM - Proposed - by Joel Magnussen - 2004
 
00 14092011-0900-derick-de leo
00 14092011-0900-derick-de leo00 14092011-0900-derick-de leo
00 14092011-0900-derick-de leo
 
Modern Finance and Best Use of Analytics - Oracle Accenture Case Study
Modern Finance and Best Use of Analytics - Oracle Accenture Case StudyModern Finance and Best Use of Analytics - Oracle Accenture Case Study
Modern Finance and Best Use of Analytics - Oracle Accenture Case Study
 
Driving A Data-Centric Culture: The Leadership Challenge
Driving A Data-Centric Culture: The Leadership ChallengeDriving A Data-Centric Culture: The Leadership Challenge
Driving A Data-Centric Culture: The Leadership Challenge
 
Driving a data-centric culture
Driving a data-centric cultureDriving a data-centric culture
Driving a data-centric culture
 
Harnessing big data for improved decision making
Harnessing big data for improved decision makingHarnessing big data for improved decision making
Harnessing big data for improved decision making
 
The 10 best performing big data & business analytics companies july 2017
The 10 best performing big data & business analytics companies july 2017The 10 best performing big data & business analytics companies july 2017
The 10 best performing big data & business analytics companies july 2017
 
The value of big data
The value of big dataThe value of big data
The value of big data
 
Winning with a data-driven strategy
Winning with a data-driven strategyWinning with a data-driven strategy
Winning with a data-driven strategy
 
Enabling Success With Big Data - Driven Talent Acquisition
Enabling Success With Big Data - Driven Talent AcquisitionEnabling Success With Big Data - Driven Talent Acquisition
Enabling Success With Big Data - Driven Talent Acquisition
 
IBM 20th Global C-Suite Study - Build Your Trust Advantage
IBM 20th Global C-Suite Study - Build Your Trust AdvantageIBM 20th Global C-Suite Study - Build Your Trust Advantage
IBM 20th Global C-Suite Study - Build Your Trust Advantage
 
Data Science - Part I - Sustaining Predictive Analytics Capabilities
Data Science - Part I - Sustaining Predictive Analytics CapabilitiesData Science - Part I - Sustaining Predictive Analytics Capabilities
Data Science - Part I - Sustaining Predictive Analytics Capabilities
 
Guide to Data Analytics: The Trend That's Reshaping the Insurance Industry
 Guide to Data Analytics: The Trend That's Reshaping the Insurance Industry Guide to Data Analytics: The Trend That's Reshaping the Insurance Industry
Guide to Data Analytics: The Trend That's Reshaping the Insurance Industry
 
Analytics Isn’t Enough To Create A Data–Driven Culture
Analytics Isn’t Enough To Create A Data–Driven CultureAnalytics Isn’t Enough To Create A Data–Driven Culture
Analytics Isn’t Enough To Create A Data–Driven Culture
 

Recently uploaded

科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理e4aez8ss
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxEmmanuel Dauda
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfgstagge
 
Generative AI for Social Good at Open Data Science East 2024
Generative AI for Social Good at Open Data Science East 2024Generative AI for Social Good at Open Data Science East 2024
Generative AI for Social Good at Open Data Science East 2024Colleen Farrelly
 
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改yuu sss
 
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDINTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDRafezzaman
 
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...soniya singh
 
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...limedy534
 
B2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docxB2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docxStephen266013
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPramod Kumar Srivastava
 
20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdfHuman37
 
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝DelhiRS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhijennyeacort
 
GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]📊 Markus Baersch
 
04242024_CCC TUG_Joins and Relationships
04242024_CCC TUG_Joins and Relationships04242024_CCC TUG_Joins and Relationships
04242024_CCC TUG_Joins and Relationshipsccctableauusergroup
 
Industrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfIndustrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfLars Albertsson
 
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort servicejennyeacort
 
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一fhwihughh
 

Recently uploaded (20)

科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptx
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdf
 
Generative AI for Social Good at Open Data Science East 2024
Generative AI for Social Good at Open Data Science East 2024Generative AI for Social Good at Open Data Science East 2024
Generative AI for Social Good at Open Data Science East 2024
 
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
 
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
 
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDINTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
 
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
 
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
 
B2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docxB2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docx
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
 
Call Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort ServiceCall Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort Service
 
20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf
 
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝DelhiRS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
 
GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]
 
04242024_CCC TUG_Joins and Relationships
04242024_CCC TUG_Joins and Relationships04242024_CCC TUG_Joins and Relationships
04242024_CCC TUG_Joins and Relationships
 
Industrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfIndustrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdf
 
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
 
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
 
E-Commerce Order PredictionShraddha Kamble.pptx
E-Commerce Order PredictionShraddha Kamble.pptxE-Commerce Order PredictionShraddha Kamble.pptx
E-Commerce Order PredictionShraddha Kamble.pptx
 

The Chief Data Officer: Tomorrow's Corporate Rockstar

  • 1. Katrina Read Analytics Client Architect Leader IBM Asia Pacific The Chief Data Officer: Tomorrow’s corporate rockstar @katsinsight katsinsight.com
  • 2. CHIEF DATA OFFICER FORUM, Melbourne Data is the basis of competitive advantage
  • 3. CHIEF DATA OFFICER FORUM, Melbourne The Insight Economy
  • 4. CHIEF DATA OFFICER FORUM, Melbourne . . . across all industries, all geographies, organisations of all sizes Data is fueling analytics-based innovation Petrol Banking / FSS Client
  • 5. CHIEF DATA OFFICER FORUM, Melbourne Organisations at the forefront are investing in highly skilled data leaders and moving ahead rapidly to capture new value from data. “We need to start selling the conversation around data as a strategic business asset, it’s not an IT problem; it’s actually a business problem.” -- CDO, Finance
  • 6. CHIEF DATA OFFICER FORUM, Melbourne Those steered by data leaders are seeing business benefits… A research institute implemented a four-step analytics endorsement process that drove the success rate of clinical research up 30% An insurance firm discovered patterns in claims information to decrease fraud, worth $90 million per one percent in reduction A manufacturing company generated an extra $2M in revenue through newly built tools that predict customer needs A major city synthesized data sources to predict early release prisoners’ propensity to re-commit a crime A contract research organization built an advanced platform for clinical data integration that cuts patient recruitment period by six months A hospital accelerated appointments for patients based on their forecasted likelihood for pre-admission
  • 7. CHIEF DATA OFFICER FORUM, Melbourne To achieve data-driven success, data leaders need to help the business by overcoming challenges, taking new approaches and driving action Collaboration is key when helping the business leverage data as a strategic asset. Data initiatives are most successful when business stakeholders are included in the transition process and clearly understand the end benefits. Companies can dream of cutting-edge analytical capabilities, but those goals will remain imaginary without the personnel to execute their vision. To combat the dearth of available talent, data leaders have started training their existing employees. Companies cannot unlock the full potential of their information if it is isolated in disparate locations. By allowing for the combination of data sources, businesses are unlocking new insights. The payoff: Better business outcomes
  • 8. CHIEF DATA OFFICER FORUM, Melbourne 1 Make data a priority
  • 9. CHIEF DATA OFFICER FORUM, Melbourne Data leaders help the business make data a priority in order to leverage it as a strategic business asset Undervaluation of data “As more data is available to the business, there are going to be missed opportunities and innovations because the business just doesn’t understand the data or the value of the data it has.” – CDO, Finance Collaborate for an enterprise-wide data strategy “We’re trying to go to leadership and figure out what’s critical to their operations. We ask about timeliness, consistency and usability. Those teams are now more energised to partner.” – VP of Enterprise Data Management, Healthcare Seek endorsement from executive sponsors “I formed a global leadership team roughly representing our 12 top offices in terms of revenue by determining the local data and analytics leaders – who’s the subject matter expert, who has the most client experience, who has the right social expertise? So that's working really, really well.” – CDO, Media and Advertising CHALLENGE APPROACH ACTION
  • 10. CHIEF DATA OFFICER FORUM, Melbourne A media CDO earned buy-in from local leaders to create an enterprise- wide data strategy that is seamlessly applied in new offices “Because I went to all of the local leaders and got their buy-in, it’s been really successful. It was collaborative from the very beginning. The data strategy looks very similar now across geographies, when even a year ago we couldn’t make any sense out of it at all.” -- CDO, Media and Advertising
  • 11. CHIEF DATA OFFICER FORUM, Melbourne Develop from within 2
  • 12. CHIEF DATA OFFICER FORUM, Melbourne Data leaders seek and develop skillsets from within in order to execute their vision Shortage of the right data talent “We’re looking for people who have that combo package – who have that mindset of an analyst and the technical skills of a developer.” – VP of Enterprise Data Management, Healthcare Look for potential, not perfection “We’re going to find people who want to learn. If they can have three out of five of the key skills and show aptitude in the other two, then we’ll take the time to train them.” – VP of Enterprise Architecture, Insurance Create learning opportunities “This past fall, we launched a Data Academy. It’s basically a training curriculum on anything from Excel all the way up to information design, data management or data usability. Every class is booked out with waiting lists – people love them.” – CDO, major US city CHALLENGE APPROACH ACTION
  • 13. CHIEF DATA OFFICER FORUM, Melbourne A government CDO created a data academy to develop skills and standardise analytical capabilities across a decentralised team “The city is decentralised, and there are a lot of analytical people out there who need to be refreshed or learn how to be more efficient or learn new skills. So we use the Data Academy to address the data skills and capacity gaps we see across the City.” -- CDO, major US city
  • 14. CHIEF DATA OFFICER FORUM, Melbourne 3 Free the data
  • 15. CHIEF DATA OFFICER FORUM, Melbourne Data leaders free the data and allow for the combination of data sources to uncover insights Insufficient utilisation of data “You’d think we have a 360-degree view of our customers, but we really don’t. We know what policies and claims we have, but we can’t link all of that information without having to dive into ten different systems.” – VP of Enterprise Architecture, Insurance Increase sharing of data “Know what data exists, be able to effectively and efficiently access that data, and then be able to get to it effectively. This capability falls in the knowledge bucket.” – CDO, major US city Invest in holistic data solutions “Our tool gives immediate, contextualised and integrated access to all the data, past and present, operational and clinical, in one place, from anywhere on the planet, any minute of the day. If you use this information wisely, you can save six months on a clinical trial.” – CDO, Pharmaceuticals CHALLENGE APPROACH ACTION
  • 16. CHIEF DATA OFFICER FORUM, Melbourne A CDO at a research organisation designed a platform that accelerates clinical trials, leading to big deals with pharma companies “We’re on the verge of signing up yet another provider for a deal the likes of which the industry has never seen before. That has a direct, measurable, quantifiable impact on the company’s top line.” -- CDO, Pharmaceuticals
  • 17. CHIEF DATA OFFICER FORUM, Melbourne 1 3 Make data a priority Develop from within Free the data 2
  • 18. CHIEF DATA OFFICER FORUM, Melbourne IBM, the IBM logo, and ibm.com are trademarks of IBM Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the web at “Copyright and trademark information” at ibm.com/legal/copytrade.shtml. © Copyright IBM Corporation 2015. ibm.biz/chiefdataofficer