With more than 14 years of experience in the field of data and analytics, Siew Teng Ho, is here with us to share a lot of insights into some important yet intricate details of business intelligence implementation of your businesses.
Siew is the Head of Performance and 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 and Process Automation at Australia Post.
At Australia Post, Siew has been leading multiple high-value operations including improving business and operation performance, facilitating collaboration within and between business units, supporting the training and development of team members at all levels, and defining, managing and implementing business information strategy, policy and procedures.
Her core areas of expertise are the implementation of planning solutions and data analytics, robotics process automation, machine learning, SQL, MDX, and DAX query languages.
She also utilised those skills and gained extensive experience while working on business intelligence at multiple other reputed organisations, including Tridant Pty Ltd, a consulting firm focused on implementing financial performance management, UniSuper Management that provides financial services to Australia’s higher education and research sector, and Leica Microsystems, a developer of microscopes and scientific instruments.
Academically, Siew has a Bachelor of Engineering in Mechanical and Manufacturing Engineering from the University of Melbourne and a certified Applied Data Science professional from Columbia University of New York.
In this episode, Siew shares with us how she and Australia Post have heavily invested in business intelligence, data analytics, and robotic process automation (RPA), so they could always improve the delivery performance for Australians.
Siew further elaborated on the delivery performance from the business perspective. This can be achieved by asking the critical questions to pursue high performance and continue to improve the postal and delivery service.
By adopting this approach of strict self-evaluation, she and her team are able to foster a mindset of constant performance enhancement.
Apart from that, she also shares with us how her academic background in engineering helps as the foundation to jump-start a career in data and analytics. And how one can get into data science without having a background in computer sciences.
Having worked on the roles regarding BI and RPA, she also shares her experience on how one can transition from one to another.
Another important point that she touches on is the importance of knowing your business situation, requirements, and needs before investing in data technologies.
Also, about the issue of job loss due to technological innovation and automation, she explains how employees and leaders can work together to bring all into the journey of continuous growth and evolution.
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