Dissecting the “Intelligent Enterprise”


Duncan Williamson - SAP

Photo - SAP Malaysia managing director Duncan Williamson


  In the SAP world - and it's a massive one considering that SAP today serves 404,000 customers in some 180 countries throughout the world, including 92% of Forbes Global 2000 companies - the customer's journey toward being an "Intelligent Enterprise" is the Holy Grail which promises higher outcomes, greater return-on-investment, increased productivity and consistent profitability.

SAP Malaysia managing director Duncan Williamson said that SAP aspires to make all its enterprise solutions intelligent while empowering customers to fully leverage their data.

"A fully realised Intelligent Enterprise comes from a position of strength whereby it is able to reimagine the business to generate new markets and revenue streams," said Duncan. "It is about maximising the value of an enterprise's data assets, and turn the data into precious insights that is able to empower employees to operate with increased visibility, focus and agility."

"By becoming an Intelligent Enterprise, businesses are also better able to respond to individual customer needs, engage talent in new ways and create disruptive business models that are critical industry imperatives," he added.

To Duncan, the Intelligent Enterprise is able to stay ahead of the competition within today's Digital Economy.

More discerning demands within today's Digital Economy

"In simple terms, the Digital Economy is about individualisation. If you look at the economy today, people want it now, they want it the way they want it, and they want it immediately! We talk about individualisation because people today are more discerning and would rather customise things to their taste and liking," explained Duncan.

"The real critical ability for enterprises today is to be able to look at patterns and connect the dots. Business, fundamentally has not changed. That said, the expectations have changed in terms of the timeline, and quality of what is needed for delivery has changed. Something that could be delivered in a week's time before, is no longer acceptable. People just want it faster. To be able to respond quickly to such demands, it is critical for enterprises to similarly transform themselves to be more agile and nimble.

"From, say, a manufacturer's perspective, all these factors give rise to complexity. Why? Because all that complexity comes with volumes of data.

"However, all that data can be harnessed with technologies like artificial intelligence (AI), machine learning, the Internet of Things (IoT) and advanced analytics to give the end-consumer what they want, when they want it and at a cost that is efficient. That, to me, is the Intelligent Enterprise's response to today's Digital Economy and more discerning demands," he further said.

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