Does your organization need a Chief Data Officer (CDO) ?
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Transcript of Does your organization need a Chief Data Officer (CDO) ?
Does your organization need a CDO?
Point B Business Intelligence & Analytics Leader
Community Roundtable August 15, 2013
Data Science
The process of taking raw data, producing information from data,
and using this information to guide actions that will bring
financial benefits to the business
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The Dictatorship of Data – Robert McNamara
Big data will be a foundation for improving
the drugs we take, the way we learn, and the
actions of individuals. However, the risk is
that its extraordinary powers may lure us to
commit the sin of McNamara: to become so
fixated on the data, and so obsessed with
the power and promise it offers, that we fail
to appreciate its inherent ability to mislead.
http://www.technologyreview.com/news/514591/the-
dictatorship-of-data/
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The 3 Architectures a Company needs
to succeed
Business
Architecture
Technology
Architecture
Data
Architecture
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Foundations of the Data team
responsibilities
• Data Strategy
• Data Analytics
• Data Insights
• Data Architecture
• Data Governance
• Data Quality
• Data Acquisitions
• Data Operations
• Data Policies
• Data Security
• Data Protection
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The role of a Chief Data Officer or
Lead Data Scientist
A data scientist is the one
who looks for insights
The insight is operationalized
in BI/DW products, by data architects
The insight is shared
with the enterprise The CDO or Lead Data Scientist is the
executive responsible and accountable for
the data life cycle inside the organization,
managing the people involved in the data
activities, such as acquisitions, analytics,
processes, governance, quality, technology
and budget
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“Organizations are about to be
swamped with massive data
tsunamis. The Chief Data Officer
is responsible for engineering,
architecting, and delivering
organizational data success” –
Peter Aiken, PhD
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At the end, on Big Data, a CDO and the
team should
• Support the data initiatives, using the assets from
different sources, with quality as a requirement
• Drive business insights, so the users can act
promptly
• Execute his/her tasks fast, in real-time if possible
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The mind set of the Data Leader
• Handle data management is not a project,
but as an evolving process
• He/she is there to break the data silos
inside business
• Know to move from products to platforms
• Able to accelerate revenue by creating new
business models and offers
• Speed up cycle time
• Work together with customers (internal or
external)
• Create an agile and lean organization
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Much more than hard skills
• The hard skills: data knowledge, technical
expertise and process mentality
• Communication is key for a data leader to
succeed
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Major points on how to structure
a data governance program
• Upper management buying and support
• Do not reinvent the wheel : use and abuse of
best practices that already exist
• Communicate always and be transparent
• Quick wins
And …
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The critical path to success :
Finding the right people
• With cloud computing, technology has become a
commodity
• Data is everywhere
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Thank you
Mario Faria Chief Data Officer and Data Strategy Advisor
http://www.linkedin.com/in/mariofaria/
Founder of the Digital Mad Men
www.slideshare.com/fariamario
Twitter : @mariofaria
+1 (425) 628-3517