2018 Women in Analytics Conference
https://www.womeninanalytics.org/
This talk with focus on what the speaker believes to be the four most important aspects of creating a team:
1. Set the Vision - what do you want the team to be known for? These are the things you want to be able to say you accomplished together as a team - you need a solid understanding of where the market and industry is going to set the appropriate vision.
2. Define the Culture - cultivate a community. When a group of people, a team, feel connected, like a family, they will do better and be better.
3. Build the Team - what talent should you be recruiting to help you achieve your vision? Make sure you also focus on developing your existing talent.
4. Be a Leader - every team has a lead, but great leader motivates their army to want to follow them even when things get tough.
3. 3
HI, I’M SANDY STEIGER
Education
Career
Family
Me
Individualization
Harmony
Responsibility
Positivity
Arranger
4. 4
WE KNOW WHO WE WANT TO BE
We are analysts, we are researchers, we are social scientists, we are data scientists, we are
thought leaders. We are connected by our belief in using data, science, and customer
understanding to drive better results across every decision in the enterprise.
We leverage technology to rapidly test new ideas, continuously improve, and pioneer
scalable solutions that can adapt to our clients’ ever-changing needs.
We provide each analyst with opportunities that challenge and stimulate them mentally. We
help them grow by playing to their strengths and developing their weaknesses.
We aspire to be the organizational glue that connects our missions and functions;
continuously looking for opportunities to partner, share, and train so that our company
evolves into a highly-unified data science provider.
We are change agents, always looking for new approaches to help us know our customers
better than anyone. We live in a constant state of experimentation, looking for a “better
way,” and treat innovation work as a priority.
7. 7
WE UNDERSTAND ANALYSTS ARE DIFFERENT
Tech
Spectrum
Analytical
Types
BI Tools Data Services Data Query
& Discovery
Orchestration
Tools
Scientific
Languages
Deep
Sciences
Machine
Learning
More
Technical
More
Consultative
I am not a technical guru. I’m not even sure you could say I’m a data scientist. I’m a former analyst who cares about the people I lead.
We know who we want to be for the organization, and what we want to be known for in the industry. We will need to evolve the team in order to achieve these success statements
I believe if you don’t love what you are doing (at least a majority of the time), then you shouldn’t be doing it. One thing that helps the people love their work is who they work with and for.
We make people’s lives easier
Winning in Today’s World:
Customers demands are ever increasing – what I want, when I want it, priced right… all personalized to me
Amazon, Lidl, Blue Apron, etc. are coming. Now more than ever, 84.51° is critical to Kroger’s sustained success
Kroger needs to become more efficient to help fund investments in customer
We built a talent strategy that will meet the needs of our entire analytics community – we are meeting each person where they are. A personalized experience, if you will!
Clearly define expectations for the team – they know what I expect of them every single day
Radical Candor
Lollipop Moments (Ted Talk – Drew Dudley) – leave someone feeling better once you’ve left them