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Provided by: The Modeling Agency Data Mining Failure to Launch, How To Get Predictive Modeling Off The Ground And Into OrbitAnalysis and Design |
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WHAT'S COVERED
The vast majority of BI professionals are excited about the prospects of data mining and predictive analytics, but are fully mystified about where to begin or even how to prepare. Of those who did initiate a modeling initiative, a recent industry survey of predictive analytics practitioners reports that 51% of data mining projects either never left the ground, did not realize value, or the ultimate results were not measurable.
In most cases, those who attempted an implementation ended up building valid models that were noninterpretable or answered the wrong questions. They essentially placed a perfectly good rocket upside down on the launch pad.
So, how does one approach an intangible, cryptic and seemingly immeasurable technology? Beyond the inherent up-front risks of engaging in what is essentially a discovery process, just identifying a starting point can be intimidating and mystifying.
Despite its elusive nature, data mining has surpassed the flash-in-the pan "miracle tool" stigma with widespread and sustained success stories highlighted frequently in mainstream publications and recurring case studies of improved operational efficiencies, enhanced business intelligence and residual payback.
For any organization with annual revenues more than $50 million, employing data mining technology is not a matter of whether, but when. Attend this free webinar to learn how to get started with predictive analytics and overcome both strategic and tactical limitations that cause data mining projects to fall short of their potential.
WHO SHOULD ATTEND
IT and IS EXECUTIVES AND MANAGERS: CIOs, 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
TECHNOLOGY PLANNERS: Who survey emerging technologies in order to prioritize corporate investment
CONSULTANTS: Whose competitive environment is intensifying and whose success requires competency with data mining and related emerging information technologies
The vast majority of BI professionals are excited about the prospects of data mining and predictive analytics, but are fully mystified about where to begin or even how to prepare. Of those who did initiate a modeling initiative, a recent industry survey of predictive analytics practitioners reports that 51% of data mining projects either never left the ground, did not realize value, or the ultimate results were not measurable.
In most cases, those who attempted an implementation ended up building valid models that were noninterpretable or answered the wrong questions. They essentially placed a perfectly good rocket upside down on the launch pad.
So, how does one approach an intangible, cryptic and seemingly immeasurable technology? Beyond the inherent up-front risks of engaging in what is essentially a discovery process, just identifying a starting point can be intimidating and mystifying.
Despite its elusive nature, data mining has surpassed the flash-in-the pan "miracle tool" stigma with widespread and sustained success stories highlighted frequently in mainstream publications and recurring case studies of improved operational efficiencies, enhanced business intelligence and residual payback.
For any organization with annual revenues more than $50 million, employing data mining technology is not a matter of whether, but when. Attend this free webinar to learn how to get started with predictive analytics and overcome both strategic and tactical limitations that cause data mining projects to fall short of their potential.
WHO SHOULD ATTEND
IT and IS EXECUTIVES AND MANAGERS: CIOs, 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
TECHNOLOGY PLANNERS: Who survey emerging technologies in order to prioritize corporate investment
CONSULTANTS: Whose competitive environment is intensifying and whose success requires competency with data mining and related emerging information technologies
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Training
Provided by The Modeling Agency
- P asked: I want to learn or get certified in Data mining, how can you help?
- S asked: Hello, I live in Saudi Arabia and I want to attend all training in data mining for all levels in USA. My tentitave dates is toward the th quarter of . Let me know please with the available training calander. Thanks
Data Mining Failure to Launch, How To Get Predictive Modeling Off The Ground And Into Orbit Seminar Schedule
Data Mining Failure to Launch, How To Get Predictive Modeling Off The Ground And Into Orbit
WHAT'S DELIVERED
This webinar is intended for stakeholders, functional managers and business practitioners in business, industry, government and academia, who have made substantial investments in data collection, storage, retrieval, visualization and basic analysis but may not have the technical or strategic experience necessary to chart an effective roadmap to uncover the valuable predictive insights hidden within their existing data. No prior knowledge is required. The webinar will cover:
- How and where to get started
- Why failure to implement is so common, and why pitfalls are so avoidable
- Case studies that reveal the rewards of proper design and implementation
- Why establishing an internal predictive modeling practice is within your reach
- Tips, tricks and techniques for data preparation and method selection
- Live participant polls and an interactive guru session with the experts
- Resources and direction on how to move forward with confidence
- And more...
This webinar is intended for stakeholders, functional managers and business practitioners in business, industry, government and academia, who have made substantial investments in data collection, storage, retrieval, visualization and basic analysis but may not have the technical or strategic experience necessary to chart an effective roadmap to uncover the valuable predictive insights hidden within their existing data. No prior knowledge is required. The webinar will cover:
- How and where to get started
- Why failure to implement is so common, and why pitfalls are so avoidable
- Case studies that reveal the rewards of proper design and implementation
- Why establishing an internal predictive modeling practice is within your reach
- Tips, tricks and techniques for data preparation and method selection
- Live participant polls and an interactive guru session with the experts
- Resources and direction on how to move forward with confidence
- And more...
About The Training Provider: The Modeling Agency
The Modeling Agency - The Modeling Agency (TMA) is a structured, redundant network of senior-level data mining consultants, associate modelers, application programmers, project managers and technical documentation specialists. The Modeling Agency (TMA) provides data mining guidance and results for those who are data-rich, yet information-poor through a structured network of independent consultants, or agents.
The...
