Material includes online lectures, videos, demos, project work, readings and discussions. This course is ideal for c-suite professionals, directors and senior-level managers who want to develop a data-driven mindset. Learners should have some familiarity with reading reports, gathering and using data, and interpreting visualizations. It is the first course in the Data-Driven Decision Making (DDDM) specialization.
Continuing education units (CEUs) and professional development hours (PDHs) are available through the UB Center for Industrial Effectiveness (UB TCIE) for learners who earn a course certificate.
What You Will Learn
- Develop a plan to align operational and performance goals
- Devise a data collection strategy and validate data integrity
- Understand how to create current and future state process maps
- Prioritize data gaps for root cause analysis
Course 1 of 3 in the Data-Driven Decision Making (DDDM) Specialization
Operations and Performance Goals
This module covers the business case for establishing a data strategy, including why it is important, from a strategic level, to align your operations and performance goals before you undertake implementation.
This module covers best practices for collecting data.
This module will prepare you to develop current state process maps, prioritize data gaps, and formulate future state process maps.
Project: Operational Context and Data
This module provides an opportunity to bridge theory and practice. Learners apply knowledge from this course to solve a business problem.