Listen "E27 - Siew Teng Ho - Better Postal Performance with Data Analytics"
Episode Synopsis
With more than 14 years of experience in the field of data analytics, Siew Teng Ho, is here with us to share a lot of insights into some important yet intricate details of business intelligence implementation and automation.
Siew is the Head of Performance & Insights at Australia Post, an enterprise of the Australian government business that provides postal services with a view to connecting businesses with consumers. Before her present role, she was the Manager of Robotics & Process Automation at Australia Post.
In this episode, Siew shares with us a lot from her professional experience:
- How she & Australia Post work with business intelligence, data analytics & robotic process automation (RPA) for constant growth.
- What’s the self-evaluation approach that allows Siew & her team to always keep striving for continuous improvement.
- How her academic background in engineering helps as the foundation to jump-start a career in data analytics.
- How one can get into data science without having a background in computer sciences.
- The importance of knowing your business situation, requirements & needs before investing in data technologies.
#BusinessAnalytics #Automation #MachineLearning #PlanningAnalytics #CustomerExperience #DataScience
Siew is the Head of Performance & Insights at Australia Post, an enterprise of the Australian government business that provides postal services with a view to connecting businesses with consumers. Before her present role, she was the Manager of Robotics & Process Automation at Australia Post.
In this episode, Siew shares with us a lot from her professional experience:
- How she & Australia Post work with business intelligence, data analytics & robotic process automation (RPA) for constant growth.
- What’s the self-evaluation approach that allows Siew & her team to always keep striving for continuous improvement.
- How her academic background in engineering helps as the foundation to jump-start a career in data analytics.
- How one can get into data science without having a background in computer sciences.
- The importance of knowing your business situation, requirements & needs before investing in data technologies.
#BusinessAnalytics #Automation #MachineLearning #PlanningAnalytics #CustomerExperience #DataScience
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