Our process for understanding complex industries and detailing audience groups is driven by decades of experience working across dozens of corporate and venture backed market and innovation projects.
This process includes five fundamental questions…
What are we trying to accomplish?
Building a data driven innovation process requires basic definition around goals. Regardless of these goals being ‘soft and fuzzy’ or ‘razor sharp’ in focus, they set the basic benchmarks for continual improvement and the expectations of a successful partnership. Foundational strategic ideation also helps to clarify if a specific goal is a ‘must have’ or a ‘nice to have.’
Is almost perfect good enough?
One of the catastrophic failures of innovation is ‘designing for perfect’ when perfect is either impractically priced or even impossible. In most cases a good offering will take market share and leverage a first mover advantage while a ‘perfect’ offering slowly misses the window of opportunity and becomes an expensive mothball.
What proprietary data do we have access to?
When building a competitive strategy one should always consider if key resources enable a disruptive leap in capabilities that have inherent market advantages and create cost prohibitive obstacles for industry challengers.
Can you implement the insight provided?
Creating a map to an exotic place and dream destination is only effective if you can get there. Most strategic initiatives fail due to four key obstacles: lack of talent, lack of budget, lack of time, and leadership. Establishing costly data models without the capability to implement on that insight is simply as waste of your money and our time.
What unfair strategic relationships can be leveraged?
A critical stage in defining market opportunity is to have trusted strategic partners that provide very specific and unique ingredients. Knowledge of supply and demand for specific ingredients means that market inventory can be secured to secure market share (examples include talent, unique product, and technical IP.)
Ethical, legal, and moral
Our team is very strict on these concepts. As a group of subject matter experts dealing with data sovereignty, data residency, and some of the world’s largest data breaches we believe that you should fully comply with community standards regarding privacy, PII, HIPAA, and Opt-out/Opt-In process. We also encourage excessive application of ethical, legal, and moral guidance on emerging artificial intelligence trends such as biometric classification, facial recognition, and discrimination bias.
As cyber security professionals encourage always acting in the best interests of your customer, your community, your employees, and your business from bad data decisions.
We are not data brokers
We do not sell your information. The basic difference is a data broker sells your data, while we understand how to identify where data is (with a data broker or online service.)
We hope that organizations understand that data can be useful, but that data is also a valuable asset that requires responsible and thoughtful utilization (and permission.)
We apply subject matter expertise to create models and methods of discovering information for the purpose of extracting meaningful and actionable insight. If you would like to read about data brokers (people who sell your information) you can visit this excellent article from Avast Antivirus.
If you read this and still want to know how your organization can take advantage of data, use the contact button.