Unlocking the power of analytics with domain knowledge
Before the business started investing in data analytics, data was “all over the place”, with different versions of Excel sheets on different people’s laptops, TK shared. Solving problems was like looking for a needle in a haystack, for they did not know where to find the data they needed in the first place, or which problem to tackle first.
“We were facing a data disaster,” he adds. “Our company was growing exponentially, with ever-increasing amounts of data, without the ability to make fact-based decisions. It was all based on emotion or individual perception, leading to sub-optimal results.”
With three major production lines in Singapore producing more than 10,000 units of high-precision semiconductor equipment, it was challenging to identify problem areas without clean and reliable data, much less prioritise. This is why TK chose to build an analytics system by bringing in the “domain knowledge experts” – people who know the work processes and are most familiar with what data they need to solve problems.
“Any data analytics system needs two components: the data analytics platform, and the domain knowledge to use it in the most effective manner,” he emphasises. “The people with domain knowledge know their area well, but they were not familiar with data analytics.”
“Tableau empowered us to understand the power of data analytics, and combined with our domain knowledge, we built a success story from the ground up,” TK says.