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Building a Data-Driven Culture
PAUL BARSCH
PRESENTED TO UCSD PROFESSIONAL SEMINAR – MAY2017
Disruption
Technology Globalization Climate Conflict
Image credits: Creative Commons License
Survival Means Mastery
Analytics Artificial
Intelligence
Cloud
Computing
Blockchain
Image credits: Creative Commons License
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 drive
most aspects of the company” –Ron Bodkin, Teradata
Journey to a Data-Driven Culture
1
2
3
4
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
Image credit: Creative Commons License
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…
Image credit: Creative Commons License
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
Image credit: Creative Commons License
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
Image credit: Creative Commons License
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

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UCSD: Building a Big Data Culture - It Takes a Village

  • 1. Building a Data-Driven Culture PAUL BARSCH PRESENTED TO UCSD PROFESSIONAL SEMINAR – MAY2017
  • 2. Disruption Technology Globalization Climate Conflict Image credits: Creative Commons License
  • 3. Survival Means Mastery Analytics Artificial Intelligence Cloud Computing Blockchain Image credits: Creative Commons License
  • 4. 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
  • 5. What is a Data-Driven Culture? “A culture in which data and analysis drive most aspects of the company” –Ron Bodkin, Teradata
  • 6. Journey to a Data-Driven Culture 1 2 3 4 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
  • 7. 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
  • 10. 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 Image credit: Creative Commons License
  • 11. 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… Image credit: Creative Commons License
  • 12. 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 Image credit: Creative Commons License
  • 13. 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 Image credit: Creative Commons License
  • 14. 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
  • 15. 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

Editor's Notes

  1. Agile analytics http://data-informed.com/benefits-agile-analytics-development-right/