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. 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
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.
