Why high-stakes initiatives fail and how to navigate back on plan
Change rarely fails from lack of effort or strategy. It fails when plans replace reality and assumptions replace facts. As environments shift—people, incentives, data, technology—execution drifts, decisions slow, and outcomes erode.
Success is not determined by decks, roadmaps, or designs. It’s determined by how well teams navigate reality as conditions change. Anyone can define a plan. Fewer can execute under pressure. Fewer still detect drift early enough to correct it.
We research how organizations successfully operate in practice through mindsets, data, and automation, not how they intend to operate. C-SUITE experience and DATA-driven evidence help us surface friction points leaders rarely see but teams feel. This is where initiatives drift off plan and where recovery begins.
NavFirst™ is our meta-framework for high-stakes initiatives. It guides teams on why, what, and how to act, aligning perception, incentives, and actions to deliver stable, sustainable outcomes that actually work in their environment.
c-suite advisory – foresight
executive perspective, thought leadership, and organizational foresight
Will AI Replace You or Redefine You?
What Does A Data Scientist Really Do?
What Is The Chief Data Officer?
When Will We Bow To Our Machine Overlords?
How Do You Accelerate Your Analysis?
How Do You Build Your Big Data and Data-Driven Organization?
What Is The Data-Driven Organization?
Does Data Scientist Mean What You Think It Means?
Do You Have What It Takes To Build Your Data Office?
Big Data? Data-Driven? Think Even Bigger!
Training and Education: Can Big Data Help Us Compete With What the Web Gives Away for Free
Do Multipliers Trump Big Data Analytics?
Is Data The New Capital? 4 Paradigms Needed
Big Data, Artificial Intelligence, and Human Intelligence
Is Big Data The New Multiplier For Revenue Growth?
How Do You Interpret The Models That Drive Us?
What does Big Data and Data-Driven mean to the rest of us?
What are Consultants good for?
strategic program execution
planning, aligning, and scaling high-stakes initiatives
Re-engineering Change: the AI reset
how to get strategies back on track
How do you plan and budget multi-year projects?
Top 3 Problems in Projects
Strategic Change: How Much Art Do We Need In Data Science?
What is involved in the Data Strategy Conversation?
data – ai implementation
technology, ai, and data science applied to drive business outcomes
AI replaces jobs — how to win at AI adoption
top 3 AI adoption patterns
adopting AI is the same as adopting anything new
AI Business Requirements
AI workflow from the high-level
Drive the AI Conversation with Reference Architecture
the AI – data ecosystem – it’s been around for a while
how AI fails and how to fix it
RISKS from AI are the real COSTS
AI + Business Engineering = SUCCESS
BI to AI
5 whys AI fails
10 Algorithm Categories For A.I., Big Data, And Data Science
risk – compliance optimization
managing ai and data risks, governance, and failure mitigation
how AI fails and how to fix it
RISKS from AI are the real COSTS
TOP 5 tech training fails
TOP 5 ways to get bugs in software
Data Abuse In Identity Politics
How Big Data Failed America
people – leadership enablement
human factors, leadership behaviors, training, and workforce acceleration
TOP 5 leader behaviors
How to do DEI and not go DOA
How do you think at the speed of sight with Visualizations?
5 Techniques for the Innovation Culture
Leadership: Do Underdogs Really Win?
Leadership: Data Odyssey For The Data Officer
Big Data Builds Stellar Leaders
practical examples
examples emphasizing lessons from human execution and organizational outcomes
Commodore 64 – the 80s tech paradigm comeback
5 Techniques for the Innovation Culture
5 CDO Steps For Month 1
3 Big Data Areas For Non-Profits
7 Things For Effective Big Data Training
7 Big Data Steps in Health Science
What are the Top 5 Building Blocks for Data Driven Innovation?