Slide 1

Slide 1 text

Harnessing Decision Science for Tech Enterprises Michelle Robbins Manager, Decision Science Turing Fest - June 28, 2023

Slide 2

Slide 2 text

Michelle Robbins Decision Scientist Analyst | Engineer | Board Member Caffeine-based lifeform

Slide 3

Slide 3 text

No content

Slide 4

Slide 4 text

Decision Science Where interdisciplinary fields come together

Slide 5

Slide 5 text

Decision Science Where interdisciplinary fields come together

Slide 6

Slide 6 text

The Role of Decision Science • Strategic Decision-Making • Optimizing Business Processes

Slide 7

Slide 7 text

The Role of Decision Science • Strategic Decision-Making • Optimizing Business Processes • Risk Assessment • Data Analysis & Interpretation

Slide 8

Slide 8 text

Leveraging Decision Science A comprehensive landscape of methods, tools and techniques • Advanced Analytics • Predictive Modeling

Slide 9

Slide 9 text

Leveraging Decision Science A comprehensive landscape of methods, tools and techniques • Advanced Analytics • Predictive Modeling • Data Visualization • Decision Modeling • Optimization Techniques

Slide 10

Slide 10 text

Leveraging Decision Science A comprehensive landscape of methods, tools and techniques • Advanced Analytics • Predictive Modeling • Data Visualization • Decision Modeling • Optimization Techniques • AI and Machine Learning

Slide 11

Slide 11 text

Case Studies

Slide 12

Slide 12 text

Strategic Decision Making at Netflix Content Recommendations, Investments and Creation

Slide 13

Slide 13 text

No content

Slide 14

Slide 14 text

Content Decisions What to produce?

Slide 15

Slide 15 text

No content

Slide 16

Slide 16 text

Content Decisions How much money to invest?

Slide 17

Slide 17 text

No content

Slide 18

Slide 18 text

Decision Science at Amazon • Cost Optimization • Logistics • Supply Chain Management • Dynamic Pricing Strategy • Inventory Management • Transportation Delivery Network • Fulfillment Centers

Slide 19

Slide 19 text

No content

Slide 20

Slide 20 text

No content

Slide 21

Slide 21 text

No content

Slide 22

Slide 22 text

No content

Slide 23

Slide 23 text

No content

Slide 24

Slide 24 text

Airbnb: Risk Mitigation

Slide 25

Slide 25 text

No content

Slide 26

Slide 26 text

No content

Slide 27

Slide 27 text

By leveraging analytical tools, and predictive models, these tech companies were able to overcome significant challenges and achieve impressive results.

Slide 28

Slide 28 text

Decision Science and Start- ups

Slide 29

Slide 29 text

Decision Science and Start- ups

Slide 30

Slide 30 text

Operational Optimization • Product Development • Customer Acquisition • Customer Retention

Slide 31

Slide 31 text

Operational Optimization • Product Development • Customer Acquisition • Customer Retention • Talent Acquisition • Talent Management

Slide 32

Slide 32 text

Operational Optimization • Product Development • Customer Acquisition • Customer Retention • Talent Acquisition • Talent Management • Financial Planning • Resource Allocation

Slide 33

Slide 33 text

Operational Optimization • Product Development • Customer Acquisition • Customer Retention • Talent Acquisition • Talent Management • Financial Planning • Resource Allocation • Risk Management

Slide 34

Slide 34 text

Case Study: Stitch Fix Growth through Advanced Analytics • Personalization Algorithms • Collaborative filtering • Content-based filtering

Slide 35

Slide 35 text

Case Study: Stitch Fix Growth through Advanced Analytics • Personalization Algorithms • Collaborative filtering • Content-based filtering • Inventory Management • Stylist Selection

Slide 36

Slide 36 text

No content

Slide 37

Slide 37 text

Scale-ups and Decision Science Unlock Rapid Growth

Slide 38

Slide 38 text

Scale-ups and Decision Science Unlock Rapid Growth

Slide 39

Slide 39 text

No content

Slide 40

Slide 40 text

Data-driven Decision Making The key to operational efficiency and intelligent scaling

Slide 41

Slide 41 text

Case Study:Uber Rapid growth and transformation Dynamic Pricing Route Optimization Market Expansion Driver Retention

Slide 42

Slide 42 text

No content

Slide 43

Slide 43 text

No content

Slide 44

Slide 44 text

No content

Slide 45

Slide 45 text

No content

Slide 46

Slide 46 text

No content

Slide 47

Slide 47 text

Building Your Team Creating an end-to-end Decision Science Discipline

Slide 48

Slide 48 text

Set a Strong Foundation Build with intention, index on immediate needs, iterate and continually develop your talent • Define clear roles • Identify necessary skills

Slide 49

Slide 49 text

Set a Strong Foundation Build with intention, index on immediate needs, iterate and continually develop your talent • Define clear roles • Identify necessary skills • Prioritize a strong domain background • Value relevant experience

Slide 50

Slide 50 text

Set a Strong Foundation Build with intention, index on immediate needs, iterate and continually develop your talent • Define clear roles • Identify necessary skills • Prioritize a strong domain background • Value relevant experience • Build a culture that values data-driven decision making • Invest in continued training and development

Slide 51

Slide 51 text

Set a Strong Foundation Build with intention, index on immediate needs, iterate and continually develop your talent • Define clear roles • Identify necessary skills • Prioritize a strong domain background • Value relevant experience • Build a culture that values data-driven decision making • Invest in continued training and development • Foster diversity

Slide 52

Slide 52 text

Hiring for an end-to-end decision-focused data organization Full-Stack Data Team Roles and Responsibilities Data Engineer - Develop, construct, test, and maintain architectures (cloud, large-scale data systems/warehouses) - Extract, transform, and load data from various sources into the data platform. - Create and manage data pipeline architecture and structure the flow of data from various sources. Data Analyst - Collect, process, and interpret complex data to derive actionable insights. - Develop, manage, and maintain databases, data systems, and reports. - Identify, analyze, and interpret trends or patterns in complex data sets. Data Scientist - Data mining using state-of-the-art methods. - Select features, build and optimize classifiers using machine learning techniques. - Implement new statistical or other mathematical methodologies as needed for specific models or analysis. Statistician - Apply statistical theory to solve real- world problems, often in the context of making decisions in an uncertain environment. - Develop, validate and maintain statistical models. - Explain complex statistical concepts and analysis outcomes to non-statistical stakeholders. Decision Scientist - Identify and understand business problems to improve decision making. - Conduct quantitative analysis and modeling of business scenarios. - Collaborate with other departments to ensure implementation of strategic. - Define the metrics used to monitor and predict performance

Slide 53

Slide 53 text

SQL Python/R Stats Eng. ML AI Data Engineer Data Analyst Statistician Data Scientist Decision Scientist Full-Stack Data Team Core Competencies *

Slide 54

Slide 54 text

Technical, Educational and Experience-based skills Full-Stack Data Team Core Competencies Engineering Data Engineer only/primarily: - Scaled data infra (Azure, GCP, AWS, Hadoop, Oracle, IBM) - ETL/ELT (Azkaban, Airflow, etc.) - ML/AI tooling and infra (Azure Data Factory, Google Cloud AI, IBM Watson, etc.) SQL Core capability for all team members • Data engineer • Data analyst • Statistician • Data Scientist • Decision Scientist Statistics Core capability for most team members • Data Analyst • Statistician • Data Scientist • Decision Scientist Python / R Core capability for most team members • Data engineer • Statistician • Data Scientist • Decision Scientist Nice to have: • Data Analyst ML / AI Core capability for some team members • Data Scientist Nice to have: • Decision Scientist • Statistician

Slide 55

Slide 55 text

What’s Next? Innovation in the field of Decision Science

Slide 56

Slide 56 text

Thank you! Join me for the roundtable Q&A @12:50 Michelle Robbins Manager, Decision Science June 28, 2023