George E. P. Box said it best: “Analysts, like artists, have the bad habit of falling in love with their models.”
Given all that care, attention and love -- there’s nothing more heart-wrenching than seeing a highly capable model abandoned or needlessly rejected.
Anecdote aside, arriving at valid analytic models that are ultimately not deployed, applied or adopted is very expensive and even stressful.
There are specific actions to take during the Plan and Prepare Phases to ensure that the efforts to arrive at an otherwise productive analytic model fully realizes measurable action and residual value to the organization.
After the Clinic segment, a panel of seasoned active consultants will discuss live on camera how proper assessment and socialization impact model adoption in the “Realm of Reality” segment.
With interest carrying forward from previous episodes, the April 19 Clinic Preventing Homeless Models: Preparing for Model Adoption is limited to the first 100 to enter the online auditorium. Don’t get caught standing outside the auditorium! Proceed now to reserve your space.
Watch leading experts in applied data science tackle emerging machine learning, AI and analytics challenges – in real time.
See what works, what doesn’t, and why in live onscreen experiments.
Cut through the hype and discover the true challenges of today’s analytics.
Participate in polling to view perceptions and influence hypothesis. Bring your most pressing questions for the experts.
Watch an on-camera panel of active seasoned consultants run the winning approach through the Realm of Reality.
IT & BI LEADERSHIP including CIOs, CAOs, CKOs, CTOs, Stakeholders, Functional Officers, Technical Directors and Project Managers
LINE-OF-BUSINESS EXECUTIVES AND FUNCTIONAL MANAGERS: Risk Managers, Customer Relationship Managers, Business Forecasters, Inventory Flow Analysts, Financial Forecasters, Direct Marketing Analysts, Medical Diagnostic Analysts, eCommerce Company Executives
DATA SCIENTISTS: Who recognize the importance of complementing their tactical proficiency with a strategic planning and design approach to advanced analytics
TECHNOLOGY PLANNERS: Who survey emerging technologies in order to prioritize corporate investment
THE ANALYTICALLY CURIOUS: Who desire additional perspectives on the topic
CONSULTANTS: Whose competitive environment is intensifying and whose success requires competency with machine learning, AI and related emerging analytics technologies