1 day, 7 Instructional Hours
7 PDHs (Professional Development Hours for Engineers)
An organization’s ability to make data-driven decisions is essential to being agile in the current fast-paced business environment. Using data analytics is not confined to large companies. Small and medium-sized businesses can also implement data analytics successfully, as seen in examples given in the course. The purpose of this course is to help small and medium-sized organizations understand the sufficient, high-quality data sources, and basic data analysis knowledge needed to identify opportunities for improving the business. The course gives examples of needs that can be addressed with data analytics, provides steps for creating a data inventory, examines the role of perception-based data, applies data analytics techniques, and integrates quantitative and qualitative data to effectively make business decisions.
Upon completion learners will be able to:
- Define data analytics
- Describe the purpose of data analytics
- Identify challenges associated with data analytics
- Understand data analytics results
- Create a high-level data analytics plan for their business
Each participant will receive a student workbook containing exercises, templates and copies of lecture materials.
Who Should Attend?
This course was designed for Small to Mid-size Manufacturers (SMM) in order to assist in the evaluation and understanding what data analytics is, how it benefits SMMs and how to successfully implement data analytics in their companies.
No prior experience with data analytics is necessary. Students are strongly encouraged to bring a laptop with Microsoft Excel installed.
*This material was produced under a grant from the U.S Commerce Department’s National Institute of Standards and Technology (NIST) in support of its MEP Digital Supply Chain Network (MDSCN)