Less stress
and better,
trustworthy
decisions at scale.
Learn how our novel solutions can put the pieces together and help you optimize your data assets in the AI Era.
The Challenge
Generative AI (gen AI) has accelerated competitive evolution to an historic rate, forcing leaders to keep pace and finally resolve long-standing impediments, capability gaps, and data quality issues.
Now, imagine
a world where you can immediately identify that you trust the information you use to make crucial decisions and that your team's efforts are efficient and focused on the most important tasks.
Skillful implementation of AI-enabled processes and data management practices can make that a reality. No more last-minute realizations that something someone gave you isn't right, exhausting all-nighters for your team, missed opportunities, or strained relationships—just reliable, efficient, and impactful work.
It may be hard to imagine. Because if you are like many leaders, you have a lot on your mind.
Until then, uncertainty
How do you know if the information you use is trustworthy?
Did you ask the right questions, and were the instructions precise for the team?
Is the data complete and accurate, or does your team shoehorn the data you have?
Is your team synthesizing just the data you need, or are they wasting time boiling the ocean?
Have all potential actions and consequences (including unintentional) been identified and appropriately weighted?
What about the second and third derivative implications of an action?
How will you ensure that the shiny new black box of AI dropped into the middle of your decision-making process makes things better and not worse?
Why does everyone have to be a visualization artiste?
Why can't they give you synthesized information that doesn't take five minutes of orientation before you can apply your expertise?
Is it really that hard?!
Competitors
are also trying to answer those questions; someone will soon get it right.
When they do, your employees will prefer working for organizations that get it right because it will improve their lives the most.
So, will you gain a competitive edge or play catchup?
Leaders are concerned about challenging AI initiatives.
That may be because 2/3 of companies defer to leadership rather than being data-driven.
Why hasn't this been solved?
We perceive the decision-making chain as a complex entity, consisting of five intricate phases:
Ask: The formulation of the decision and the request for inputs.
Assemble: This is a complex process that involves data identification, acquisition, engineering, and governance.
Articulate: The analysis and synthesis of insights from data.
Act: Using information to commit resources and take action.
Assess: Retrospective analysis of the process.
The Assemble phase has seen widespread adoption of software and infrastructure engineering practices governance during the past ~ twenty years. That is possible because systems can automate oversight when process standards exist.
The adoption of automated governance for decision-making and the creation of presentation materials is rare. The primary obstacle is the necessity for defined standards, leading to the absence of the metadata crucial for automation.
Certification
Imagine that when you see a simple visual cue like a gold medal, you know the information your team is about to use to make a crucial decision is GMD™-certified.
This certification is not just a label but a confirmation of a rigorous process tailored to your organization that ensures vital information is trustworthy, synthesized, and easy to understand.
You should expect to find the gold medal on presentation slides, Excel workbooks, reports, and dashboards. Why? Because GMD™-certified information allows you to use pattern recognition to consume what you need intuitively quickly: insights synthesized from reliable data. That means you can use all of your cognitive focus to apply your expertise and confidently take action.
This is what application of the unified DI-to-PI™ framework and enabling GMD™ certification can give you and your team: Trustless confidence to make the big decisions.
What we do
Our offerings of data-related advisory, implementation, and change management support services are dedicated to assisting medium and large organizations.
About us
We deliver novel and innovative solutions backed by more than 700 years of data-related expertise.
Selected client solutions
Innovative relationship and capital markets management platform for a private equity firm: Jeff designed and developed a novel, multi-platform solution that revolutionized Wall Street idea generation and financing processes for financial sponsors.
Jeff also collaborated with members of The Data Consortium to help implement these solutions with clients:
Data analytics platform for a streaming Media client: Jeff led a team that created an analytics platform based on Google Vision and BigQuery and an innovative shopping cart application that enabled non-technical users to search billions of records and retrieve documents and individually tailored reports. Personally developed data marts and dynamic dashboards using Tableau.
Strategic redesign of data ecosystem for a global investment bank: Jeff was a team leader for an assessment that cataloged data and gap-fit analyses across seven financial systems and provided senior executive-level education regarding data mesh concepts and a multi-year road map to resolve regulatory deficiencies.
Self-serve data science sandboxes for a Healthcare client: Jeff led a team that developed a migration solution that used AWS, Matillion, and Snowflake to enable the creation of on-demand, self-serve, and HIPPA-compliant data science sandboxes for use by cancer researchers.
Data analytics and data science platform for a Media client: Jeff led a team that replaced Alteryx ingestion pipelines and built an ML analytics platform that optimizes value creation by more accurately forecasting viewership before acquiring rights to content.
