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Coaching Programs
Analytics & Decision

Goal
  • To empower and upskill your teams to master automation & critical thinking in order to deploy faster & better analytics & decision-making
  • To create synergy between Analytics-Makers and Decisions-Makers
  • To build up resilience, agility and innovation through People network diversification
How
  • We focus our coaching on major improvement areas like: Automation, critical thinking & network diversity
  • Participants apply learning to a real project generating benefits while they learn
  • Management & leadership coaching increases analytics-driven decision-making skills
What
  • We leverage easy-to-use no-code technology to enable analysts with any technical skills to automate data & analytic processes & develop their citizen data science skills
  • We run People Network Analysis to optimize coaching cohorts & increase points of view diversity
  • We measure success and ROI

Ready to build an Analytics-Driven Decision-Making culture?

It's time to address the elephants in the room

Results

Productivity
Gains

  • 50% Increase in productivity on analytics projects
  • +400 Hours is the average saved time per year from automation and avoided rework per participant
  • +500% ROI

Results

Virtuous
Circle

  • 2x Faster & better insights to fast track your decision-making process
  • Accelerated Digital Transformation
  • 25% Reduction in BI/IT requests

Results

People
Benefits

  • 4x Increase in Participant's Network  Diversity 
  • Increase People Engagement
  • Talent Risk Reduction

Our Coaching Approach isExperientialPractical Impactful

Designed to address different learning styles and reinforces learnings through a multi-faceted approach

Learn

Concepts & techniques presented in the form of concrete & practical examples while promoting exchanges between participants

Do

Exercises to practice what was learned and Challenges to prepare for what’s ahead

Apply

Generalize new learning by applying them to a concrete project from the participant

Action

Anchor the learning by asking participants to explain their solutions to challenges/projects

Measure

Participant understands the impact of the program by measuring the benefits obtained

Analytics Path

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Level 1
Analytics-Maker Foundation

Focus:
  • Analytic Process Automation
  • Critical Thinking & Problem Solving
  • Collaboration Network Diversity
Objectives:
  • Expand analyst's mindset, skills & network
  • Significantly increase analysts' efficiency with easy-to-use no-code technology
Duration: 35 hours
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Level 2
Citizen Data Sciences

Focus:
  • ML/AI for analysts
  • Modelisation: Prediction vs Causality
  • Addressing Biases & Noise with People Network
Objectives:
  • Enable analyst with no data science or math background to leverage advanced analytics
  • Leverage no-code data sciences technology
Duration: 40 hours
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Decision Path

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Level 1
Decision-Maker Foundation

Focus:
  • Creating synergies with Analytics-Makers
  • Critical Thinking: Cognitive Biases & Noise
  • Collaboration Network problem solving
Objectives:
  • Changing the mindset about decision making and increasing Analytics-Driven Decision-Making competencies
  • Tools to improve decision quality
Duration: 8 hours
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Level 2
AI & Models for Decision

Focus:
  • ML/AI for Decision-Makers
  • Decisions & Models: Prediction vs Causality
  • People Network Power & Co-Decision
Objectives:
  • Understand ML/AI, what it’s good at & not
  • Learn how to make decisions based on insights from ML/AI & models
Duration: 8 hours
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