Rethinking

Analytics & Decision-Making

Edgius in a Nutshell

Building Analytics-Driven Decision-Making Culture

From Data-Driven
To Analytics-Driven

Data doesn't help make better decisions.
Analytics leverages data through skillful people to bring insights needed to make better decisions. Much more than data goes into good analytics and good decision-making.

Analytics-Driven Decision-Marking is Challenging

The Elephants Story

To get better at Analytics-Driven Decision-Making we need to address the elephants in the room

Elephant 1: Munger

50-80% is the average time analysts and data scientists spend on data preparation before they can start analyzing.

Elephant 2: Manual

500-1000 hours per year is the time analysts spend on repetitive manual work that could be automated.

Elephant 3: Duplicate

+25% is the average estimated wasted time on duplicated or highly similar analytics in large organizations.

Elephant 4: Quality

+20% is the loss in productivity related to data/analytics quality & noisy decision making.

Elephant 5: Question & Problem

85% of surveyed CEOs say their organizations are bad at problem diagnosis; not answering the right questions/problems.

Elephant 6: Bias

180+ is the number of cognitive biases negatively affecting analytics & decision making.

Elephant 7: Diversity

+20% increase in innovation & profitability are some of the benefits of people diversity. Do you leverage it?
“Elephants belong in the wild, not in your office!”

Can you spot elephant #8?

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Elephant 8:
Skills Gap

In the last 2 years, how much did your organization spend on technology for analytics, data warehouse, big data, BI & AI?

Now, how much have you invested in upskilling & empowering your people

The Skills Gap

A significant challenge to businesses and organizations success
Of all employees will need reskilling by 2025
Of current workers’ core skills are expected to change in 5 years
Of surveyed CEO consider skills gap is a barrier to the adoption of new technology
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World Economic Forum, Future of Jobs Report 2020

From technology
To skills mastery

Technology doesn't make better analytics.
Technology alone won't solve the challenge of Analytics-Driven Decision-Making, we need people with a combination of technical & power skills to get the best out of technology like analytics process automation, BI & AI/ML algorithms.

Top 10 Skills of 2025

World Economic Forum, Future of Jobs Report 2020

1

Analytical thinking & Innovation

2

Active learning & learning strategies

3

Complex problem-solving

4

Critical thinking & analysis

5

Creativity, originality & initiative

6

Leadership & social influence

7

Technology use, monitoring & control

8

Technology design & programming

9

Resilience, stress tolerance & flexibility

10

Reasoning, problem-solving & ideation

Skills Categories

  • Critical Thinking & Problem-Solving (Power Skills)
  • Self-Management (Power Skills)
  • People Network (Power Skills)
  • Technology use & development (Technical Skills)

From organization of individuals
To collective intelligence

Organizations are more than the sum of individuals.
The most valuable asset of an organization is its people and how they work together: the collective intelligence. But most organizations don't know:
  • How do people work and collaborate together?
  • How does knowledge flow between people?
  • How diverse is their network to help generate innovations & de-bias analytics & decisions?
Understanding, nurturing, and leveraging that collective intelligence is the key to unlocking an organization's true potential.

We address these challenges with CoachingTechnologyPeople Network

We see analytics & decision-making holistically

Technology

to enable automation & citizen data science

Coaching

to upskill & empower people

People Network

to leverage the collective intelligence

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

Empower your people and get fast ROI

Use Case

Combining Coaching, Technology and People Network Analytics

  • Leveraging Organizational Network Analysis to optimize coaching cohorts and to increase people network diversification
  • Measuring the benefits of the Analytics-Maker Coaching Program combined with no-code technology