There is an overwhelming list of expectations – and challenges – in this new, emerging and evolving role. In this presentation, given at the 2016 CDO Summit, Joe Caserta focuses on:
- Defining the CDO title
- Outlining the skills that enhance chances for success
- Listing all the many things the company thinks you are responsible for
- Providing an overview of the core technologies you need to be familiar with and will serve to ultimately support your success
- Presenting a concise list of the most pressing challenges
- Sharing insights and arguments for how best to meet the challenges and succeed in your new role
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The Rise of the CDO in Today's Enterprise
1. @joe_Caserta #ChiefDataNY@joe_Caserta
The Rise of the CDO in Today’s Enterprise
Presented By:
Joe Caserta
Dec 7, 2016
@joe_Caserta
@casertaconcepts
Chief Data Officer Summit
New York City
#ChiefDataNY
2. @joe_Caserta #ChiefDataNY
Joe Caserta Timeline
Launched Big Data practice
Co-author, with Ralph Kimball, The Data
Warehouse ETL Toolkit (Wiley)
Data Analysis, Data Warehousing and Business
Intelligence since 1996
Began consulting database programing and data
modeling 25+ years hands-on experience building database
solutions
Founded Caserta Concepts in NYC
Web log analytics solution published in Intelligent
Enterprise magazine
Launched Data Science, Data Interaction and Cloud
practices
Laser focus on extending Data Analytics with Big Data
solutions
1986
2004
1996
2009
2001
2013
2012
2014
Dedicated to Data Governance Techniques on Big
Data (Innovation)
Awarded Top 20 Big Data Companies 2016
Top 20 Most Powerful
Big Data consulting firms
Launched Big Data Warehousing (BDW) Meetup NYC:
2,000+ Members
2016 Awarded Fastest Growing Big Data Companies
2016
Established best practices for big data ecosystem
implementations
3. @joe_Caserta #ChiefDataNY
About Caserta Concepts
– Consulting Data Innovation
– Award-winning company
– Internationally recognized work force
– Strategy, Architecture, Implementation, Governance
– Innovation Partner
– Strategic Consulting
– Advanced Architecture
– Build & Deploy
• Leader in Enterprise Data Solutions
– Big Data Analytics
– Data Warehousing
– Business Intelligence
Data Science
Cloud Computing
Data Governance
7. @joe_Caserta #ChiefDataNY
A Day in the Life of Data
Business: “I need to analyze some new data”
ü IT collects requirements
ü Creates normalized and/or dimensional data models
ü Profiles and conforms and the data
ü Sophisticated ETL programs and quality standards
ü Loads it into data models
ü Builds a BI semantic layer
ü Creates dashboards and reports
IT: “You can access your data in 3-6 months to see if it has value!
– Onboarding new data is difficult!
– Rigid Structures and Data Governance
– Disconnected/removed from business
10. @joe_Caserta #ChiefDataNY
The New Data Paradigm
OLD WAY:
• Structure Data Ingest Data Analyze Data
• Fully Governed
• Monolith
NEW WAY:
• Ingest Data Analyze Data Structure Data
• Just Enough Governance
• Dynamic
RECIPE:
• Data Officer & Data Organization
• Enterprise Data Lake
• Corporate Data Pyramid
11. @joe_Caserta #ChiefDataNY
Why a Chief Data Officer?
• Evangelize a data vision for the organization
• Support & enforce data governance policies via outreach, training & tools
• Monitor and enforce data quality in collaboration with data owners
• Monitor and enforce data security along with Legal/Security/Compliance
• Work with IT to develop/maintain an enterprise repository of strategic data
• Set standards for analytical reporting and generate data insights
• Provide a single point of accountability for data
initiatives and issues
• Innovate ways to use existing data
• Enrich and augment data by combining internal and
external sources
• Support efficient and agile analytics through training
and templates
14. @joe_Caserta #ChiefDataNY
Chief Data Organization (Oversight)
Vertical Business Area
[Sales/Finance/Marketing/Operations/Customer Svc]
Product Owner
SCRUM Master
Development Team
Business Subject Matter Expertise
Data Librarian/Data Stewardship
Data Science/ Statistical Skills
Data Engineering / Architecture
Presentation/ BI Report Development Skills
Data Quality Assurance
DevOps
IT Organization
(Oversight)
Enterprise Data Architect
Solution Engineers
Data Integration Practice
User Experience Practice
QA Practice
Operations Practice
Advanced Analytics
Business Analysts
Data Analysts
Data Scientists
Statisticians
Data Engineers
Planning Organization
Project Managers
Data Organization
Data Gov Coordinator
Data Librarians
Data Stewards
It Takes a Village!
21. @joe_Caserta #ChiefDataNY
CDO Success in Summary
• Self-service, reduce ongoing
dependency on IT
• Automate Workflows
Streamline Processes AutomationBusiness Definitions
• Identification of KPI’s
• Iterative Process – definitions
mature over time
• Tools provide user-centric
experience
• Data Discovery
• Data Profiling
• Workflows
• Data Quality
• Automated ILM
• CDO
• Data Governance Council
• Data Stewardship Team
• Business SME’s
• Data Scientists for Insights
Roles MetricsArchitecture
• Consolidated view of data
• Flexibility for future growth
• Viewable Everywhere
• Gauge overall governance of data
• Data Quality reporting
• Issue Tracking
Data Centric, Technology Enabled, Business Focused