Building a Data-Driven CulturePA UL B A R SCHPR ESENT ED TO UCSD PR OFESSIONAL SEMINAR – MAY20 17
Disruption
Technology Globalization Climate Conflict
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Survival Means Mastery
Analytics Artificial Intelligence
Cloud Computing
Blockchain
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What is Big Data?
“Big data is high volume, high velocity, and/or high variety information assets that require new forms of
processing to enable enhanced decision making, insight discovery and process optimization.” - Gartner
What is a Data-Driven Culture?
“A culture in which data and analysis drivemost aspects of the company” –Ron Bodkin, Teradata
Journey to a Data-Driven Culture
12
34
5
Traditional BI -
Reporting
Agile Analytics –
Model Building &
Rapid Prototype
Business
Innovation –
Operationalizing
Models
Organizational
Transformation
Through Data
Image credit: Teradata – Modification by Paul Barsch
Ad-Hoc Analysis
and Self-Service
Data Driven Culture: It Takes a Team
LOB Leaders
Big Data Engineer
Business Sponsor
Business Analyst
Data Scientist
DBA/ Big Data Admin
Data Steward
Application Developers
Solution Architect
Project Manager
Content Credit: Ron Bodkin & Modified by Paul Barsch
No business sponsor = Failure
Solution Architect
Image credit: Teradata
Big Data Engineer
• “The builders”
• Combination of software engineering and data platform building
• System integration
• Data pipelining – data prep, data movement, data readiness for models
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DBA/Hadoop Admin
• “The maintenance crew”
• Platform & data management
• System performance and capacity, workload mgmt., cloud bursting
• Security administration including passwords, roles and profiles, tokenization, encryption…
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Data Scientist
• “The modelers”
• Top paying job in the stack
• Turn data into information
• Capitalize on data:
• Collect/Clean
• Model complexity, build algos
• Discover patterns/insights
• Predictive analytics & ML
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Business/Data Analyst
• “The translators”
• Industry & data knowledge
• Uncover interesting nuggets/stats
• Building reports/dashboards
• Tool expertise & SQL
• Communication skills to relay insights – window to the business
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Steps to Becoming Data-Driven
Solve a business problem
Without this you’re wasting your time
Plan for the long haul
People, process, technology, strategy
Get C-Suite buy-in
Without this you don’t “pass go”
Focus on quick wins
Don’t boil the ocean. Be AGILE not Waterfall
Test and learn
Open source changes fast: keep pace!
Content credit: Paul Barsch/Ron Bodkin
For Success a Culture Change is Required
• Inquiry. Better questions = better answers
• Fact based decision making
• Accountability
• Adaptability in age of disruption
• Diversity
• High performance teaming
Connect
linkedin.com/in/barsch
@paul_a_barsch