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Becoming the Enterprise Data Science Authority
Dave Goodsmith
Managing Data Scientist
Director of Strategic Partnerships
2
Competition
3
4
5
6
7
8
9
10
Data Trends
Data Trends
11
Data Trends
New Customers with
Valued Engagement
Leading Voice for
Enterprise Data Science
Winning Culture
Stable Product
• Viral and Social
• Fast and Repeat Value
• Edge of Research
• New data sets
• Internally available
• Fluid pathway from R&D
to tool
• Matched Stack
• In-House Code and
Control
2017 KEY RESULTS
12
Domain-Defining
Research
Exclusive Lead
Tools
How to “Own” Enterprise Data Science
13
Enterprise
Data Science
Authority
Enterprise Assessment:
Maturity and Vision
Data Scientist Strength
and Growth Metrics
Data Science Teams
Assessment
Enterprise Process
Standardization
• Public Tools
• Maturity Index
• Rankings and Awards
• Training and Skill Standards
• Defined Career Path
• Best Practices
• Innovators vs. Maintainers
• Enterprise Data Science Pipelines
• Buyer Persona Research
• Return on Investment
14
15
16
17
18
• ↑ SQL: Identify Prospects
• ↓ Sales Cycle: Articulate ROI
• ↑ CHI: Guide Existing Customers
• ↑ Share of Voice
• ↑ Reach
• ↑ Relative Brand Strength
• ↑ Dogfooding
• ↑ # of Contributed Innovations
• Feature Alignment
• First-to-Market Features
KPI’s for Enterprise Data Science Assessment
19
Questions?

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Becoming the enterprise data science authority

  • 1. Becoming the Enterprise Data Science Authority Dave Goodsmith Managing Data Scientist Director of Strategic Partnerships
  • 3. 3
  • 4. 4
  • 5. 5
  • 6. 6
  • 7. 7
  • 8. 8
  • 9. 9
  • 11. Data Trends 11 Data Trends New Customers with Valued Engagement Leading Voice for Enterprise Data Science Winning Culture Stable Product • Viral and Social • Fast and Repeat Value • Edge of Research • New data sets • Internally available • Fluid pathway from R&D to tool • Matched Stack • In-House Code and Control
  • 13. How to “Own” Enterprise Data Science 13 Enterprise Data Science Authority Enterprise Assessment: Maturity and Vision Data Scientist Strength and Growth Metrics Data Science Teams Assessment Enterprise Process Standardization • Public Tools • Maturity Index • Rankings and Awards • Training and Skill Standards • Defined Career Path • Best Practices • Innovators vs. Maintainers • Enterprise Data Science Pipelines • Buyer Persona Research • Return on Investment
  • 14. 14
  • 15. 15
  • 16. 16
  • 17. 17
  • 18. 18 • ↑ SQL: Identify Prospects • ↓ Sales Cycle: Articulate ROI • ↑ CHI: Guide Existing Customers • ↑ Share of Voice • ↑ Reach • ↑ Relative Brand Strength • ↑ Dogfooding • ↑ # of Contributed Innovations • Feature Alignment • First-to-Market Features KPI’s for Enterprise Data Science Assessment