Predictive Analytics & Data Mining – Strategic Implementation

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Course Description

This 5-day comprehensive work-along exposure to the full modeling process development methodology, provides leaders and practitioners with the combined strategic and tactical orientations to predictive analytics. Live demonstrations follow short lecture segments. Participants then proceed to build an overarching project in stages with the autonomy to directly experience the natural messiness of data mining. No other training in the market provides such an immersive, skill-reinforcing and complete view of the practice – particularly with a real-world focus and vendor-neutral perspective.

Course Objectives

  • Plan and manage your predictive modeling projects effectively from the start
  • Identify, qualify and prioritize viable and actionable analytic opportunities
  • Convey a standardized process development model to implement across your team
  • Acquire the rare combination of tactical and strategic skills to stand out in the analytics practice
  • Take an incremental low-risk / high-impact approach to model development along with vendor-neutral tool exposure that will save months in product surveying
  • Apply a formal process for data preparation, model development and validation of results
  • Recognize and avoid common but costly pitfalls in data prep, method selection and results interpretation
  • Guide your IT staff to build an analytics sandbox for rapid model development and minimal IT dependency
  • Develop the rare soft skills required to assess, design and oversee actionable analytics
  • Proceed confidently upon return with the formal process templates, session files, and direct hands-on experience gained in the follow-along labs through the full 6-Phase Model Development Methodology

Who Should Attend

  • It Executives And Big Data Directors: CIOs, CAOs, CTOs, Stakeholders, Functional Officers, Technical Directors and Project Managers who desire to transform their deluge of inert data to actionable assets
  • 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
  • Consultants Whose competitive environment is intensifying and whose success requires competency with data mining and related emerging information technologies
  • IT Professionals: who wish to gain a better understanding of the data preparation, analytics and analytic sandbox development requirements to more fully support the growing demand for analytic IT support

Please contact us for a detailed course outline.