Digital upgrading is an effective approach for SMEs to improve productivity. In this transition, data generated from all aspects of operations are collected, analyzed, and become insights to optimize processes, prevent disruptions, predict demand, and make informed decisions.
However, as indicated in a 2019 OECD report, SMEs face significant challenges in identifying and processing relevant data, lack resources for data applications and analysis, and find it difficult to set clear strategies for data governance and data project implementation. These limit their potential for higher productivity and effective digital upgrading. To unleash the power of data, it is necessary to develop the capabilities of SMEs in acquiring and analyzing data to make objective decisions.
This e-course aims to provide fundamental knowledge of data analytics and share practical techniques and tools empowering SMEs to benefit from that knowledge to prepare for successful digital upgrading.
The main objectives of this course are:
This e-course will cover the following modules: Module 1: Data thinking: Value of data for SMEs Module 2: Data, data collection, and data organization Module 3: Data visualization Module
4: Data analytics application: Initiating a project Module 5: Big data, machine learning, and AI