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Transforming an
Organization using
Data Science
Successes & Challenges
Dana Smith
AI Strategy and Integration
March 4, 2019
2
NextEra Energy’s Strategy for using Data Science
 Enhance operations
 Achieve operational efficiencies
 Reimagine our business models
Ultimately we want to:
Why is NextEra Energy investing in Data Science?
 Improve customer and employee experiences
3
An Executive Order: successful data
science transformations are driven by
Executives
Successes
Toe in the Water: start small, do not set
unrealistic goals of achieving a data-
driven culture overnight
Prioritize what moves the Needle:
begin with a widely acknowledged pain-
point in the company
No Order: armed with an executive
order, dozens of departments running in
dozens of directions
Siloed Data: you don’t know what you
don’t know
Intellectual Property: protecting our
data
Data Quality & Data Governance: data
scientists continue to spend greater than
75 percent of their time on data
wrangling activities
Build the Best Team: augment existing
teams with strategic hires
Challenges
Proprietary & Confidential4
How to harness the benefits of Data Science
 Community of Practice – transforming how a company does business requires a culture change
 Trust your Data – Having solid data practices and a clear data strategy to support advanced analytics,
machine learning and AI
 Coordination across the organization – Data Science program oversight connecting the teams and
reducing duplication
 Invest in Advancing Skills – increase the data science literacy and help to manage business
expectations
5
Closing Remarks |

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Transforming an Organization using Data Science - Successes & Challenges - Dana Smith

  • 1. Transforming an Organization using Data Science Successes & Challenges Dana Smith AI Strategy and Integration March 4, 2019
  • 2. 2 NextEra Energy’s Strategy for using Data Science  Enhance operations  Achieve operational efficiencies  Reimagine our business models Ultimately we want to: Why is NextEra Energy investing in Data Science?  Improve customer and employee experiences
  • 3. 3 An Executive Order: successful data science transformations are driven by Executives Successes Toe in the Water: start small, do not set unrealistic goals of achieving a data- driven culture overnight Prioritize what moves the Needle: begin with a widely acknowledged pain- point in the company No Order: armed with an executive order, dozens of departments running in dozens of directions Siloed Data: you don’t know what you don’t know Intellectual Property: protecting our data Data Quality & Data Governance: data scientists continue to spend greater than 75 percent of their time on data wrangling activities Build the Best Team: augment existing teams with strategic hires Challenges
  • 4. Proprietary & Confidential4 How to harness the benefits of Data Science  Community of Practice – transforming how a company does business requires a culture change  Trust your Data – Having solid data practices and a clear data strategy to support advanced analytics, machine learning and AI  Coordination across the organization – Data Science program oversight connecting the teams and reducing duplication  Invest in Advancing Skills – increase the data science literacy and help to manage business expectations

Editor's Notes

  1. Abstract Many companies are going through a data science transformation.  Armed with executive support, the teams in our company quickly learned what works and what doesn’t work in transforming how the company becomes a leader in data-driven insights.  I will talk through some of the successes and challenges our company faced, provide lessons learned that have improved the way we are operating and adopting the culture shift as a result of embedding data science into the organization.
  2. FL Desoto solar
  3. CA Desert Sunlight