E112 - Linda Ginger - On Using Data Science to Engineer Winning Innovations

What if you could predict whether your business idea is doomed to
fail before you take that leap?


Each year, thousands of people all across the world try to start
their own businesses.


According to LendingTree, 65.5% of businesses fail within the
first 10 years. If that sounds like a long time to you, now
imagine wasting those 10 years on a dying business.


Is it possible to predict which business idea will ultimately
succeed or fail?


According to Linda Ginger, you absolutely can.


This week, we bring you another TAS classic all the way from
mid-2020 with Episode 25.





Meet Linda Ginger


Linda’s Role as a Market Strategy Leader at
Attractor


Linda Ginger is the Owner and Go-to-Market Strategist of
Attractor. For over 10 years, Attractor has enabled ambitious
business entrepreneurs to rapidly discover, validate, and launch
transformative opportunities. They provide this through a network
to help them rapidly identify market opportunities, discover
unmet customer needs, and apply proven, science-based
go-to-market strategies to increase their success.
Linda’s Other Work in Data Science and Technology

Linda has been a successful market strategist and innovator for
over 20 years and left her mark in almost all the industries that
you can think of. Other than her work at Attractor, Linda is a
Board Member with Growth Science, a data science research firm.
Previously, she was their Chief Executive, formulating the
strategic direction globally, establishing an Australasian
presence, and sharing research, science, and performance.


That’s not all. Currently, Linda is also a Development and Design
Integrity Panel Member at the Brisbane Airport Corporation, an
Approved Advisor with the Advisory Board Centre, and an Editor
(ANZ) at Innovation Excellence, a global innovation website. In
addition to this, she is a globally sought after speaker on
business innovation, marketing strategy, and data science.
Computer Systems, Predictions, and Growth Science

In this exclusive analytics podcast episode, Linda shares:


How computer systems can predict the likelihood of a business
failing

How Growth Science made this magic happen using data science

Use cases of the MESE computer system in action

How the system not only predicts success or failure but also
performs diagnostics to prescribe ways out of possible failures

The success rate of these predictions

How to get your go-to-market strategies sorted out by MESE

Getting access to this exclusive technology

How to use data knowledge to engineer new successful ideas

How to innovate, grow, and stay relevant in the rapidly
changing climate with one simple word

What you should do instead of everything and anything



If you are interested in becoming more customer-centric and
working backward using data analytics, technology, and science to
support this journey, this is the episode you do not want to
miss.