Model Life Cycle Management

Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level

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Overview/Description
Analyst must continuously manage analytical models, such as monitoring performance over time and interacting with various stakeholders. Explore the operational decision making stages of model life cycle management.

Target Audience
All individuals who are new to predictive analytics and wish to use it to optimize their business performance; business leaders; analysts; marketing, sales, software, and IT professionals who want to add predictive analytics to their skill set; and decision makers of any kind

Prerequisites
None

Expected Duration (hours)
0.6

Lesson Objectives

Model Life Cycle Management

start the course

identify key aspects for understanding the business problem and securing the right data

recognize best practices for creating and deploying the forecasting model

recognize the high-level activities and planning for model deployment

identify important aspects of stakeholder management

recognize the best practices for training users and developing project documentation

recognize the importance of monitoring and recalibrating the forecasting model

recognize the importance of business validation and the various types of benchmarks to assess the forecasting model project

Course Number:
df_prma_a17_it_enus

Expertise Level
Intermediate