如果你是企業的工程師，即使你知道SAP S/4HANA 有多厲害﹑功能有多全面，你可能會也對立刻升級/遷移SAP S/4HANA有點猶豫。 這也無可厚非，工程師的主要工作是管理系統的設計和工作量以及系統的更新，所以你可能不會太積極重新採用新技術，原因不難理解，新技術往往需要時間/資源重新學習或適應背後的支援工作。話雖這樣說，墨守成規很容易不進則退，因此工程師需要不斷關注此類升級/遷移的進展情況。 在2019年2月和3月，SAPinsider開展了一項調查以了解SAP客戶在使用SAP S/4HANA的情況。 調查結果顯示大多數受訪者（70％）在不同的程度上都在朝著升級/遷移到SAP S/4HANA這個新的解決方案邁進。 技術是一個很大的心理關口。在沒有徹底審查和測試新系統的情況下，採用新系統是一個存在風險的舉動，因為害怕新系統有甚麼差錯，導致錯漏百出。 根據SAPinsider的調查結果顯示出，早期採用新系統的都是由數碼轉營和競爭驅動的企業。 這些企業都是： 優先考慮分析和數據驅動策略; 希望改善決策並支持數字化轉型; 和…
According to the pioneering science fiction author William Gibson, “The future is already here, it’s just not evenly distributed.”
The opening of the new 55-kilometre Hong Kong–Zhuhai–Macao Bridge might change that. It has certainly made distributing opportunities and enabling forward-looking businesses to integrate and accelerate a lot easier.
That interconnected future received a further boost with the Central Government’s announcement of its Greater Bay Area (GBA) blueprint, which encourages Hong Kong to to “seize new areas of economic growth and improve living standards.”
However, some Hong Kong professionals and businesspeople felt that the blueprint was big on ideas but a little light on specifics about how to achieve them.
There was talk of a push to strengthen the city’s research and development capabilities, and enabling local institutes to enjoy the same level of funding as mainland ones. There will also be help for start-ups.
But, if you ask me for one idea that would make a massive difference for Hong Kong businesses and, ultimately, for the entire GBA, it would have to be intelligence. Or, more accurately, the Intelligent Enterprise.
Intelligent technologies will drive tomorrow’s economy
The Intelligent Enterprise was one of the most talked about topics at last year’s SAP SAPPHIRE NOW conference. And for good reason. For a start, advances in machine learning are enabling algorithms to become highly accurate at understanding natural language and in image and speech recognition.
That may sound a bit “Star Trek,” but I can assure you there are genuine practical benefits. Businesses can use these sophisticated capabilities to drive intelligent business-processes automation to an entirely new level and actually do what technology has been promising for decades – eliminate repetitive manual tasks.
That’s the theory. And, until recently, that kind of innovation was an expensive and difficult proposition. Not anymore. It can now be implemented far more cost-effectively, because it is embedded more and more within business processes.
All of which means that employees – which are usually an enterprise’s most expensive valuable asset – will no longer be bogged down in minutiae. Instead, they’ll be freed up to focus on high-value activities like customer success, strategic planning, and innovation.
More than the sum of its parts
That’s isn’t the end of the Intelligent Enterprise story. Not by a long chalk.
Ubiquitous connectivity and edge computing are creating a step-change in business productivity. Coupled with artificial intelligence and machine learning, it can be used to analyse petabytes of data and affect real business outcomes.
IoT can connect the entire value chain, from design to production to supply chain, and data-driven insights of customer preferences can inspire better design, lower material costs, and reduce risk.
And real-time analysis of machines can predict even maintenance needs, identify potential quality problems in manufacturing processes before they occur, and reduce asset downtime by as much as 50%.
Adding it all up
That all sounds great. But, in the great scheme of things, why does it matter? The simple answer is economics.
The global growth we’ve seen over the last decade has been powered largely by technology. Record corporate profits and new business models can all be tied directly to technology-driven innovation.
You can actually see it happening in real-time. Just look at the S&P 500 list, where on average one company being replaced every two weeks. This “tumble rate” is accelerating. The difference the between winners and losers essentially boils down to one thing – their ability to effectively embrace digital technologies.
Focussed on the future
It’s too early to tell if the GBA blueprint will be the success everyone is hoping for. But one thing is certain – it will create a shift in market dynamics, which will require the new skills and capabilities.
Intelligent Enterprises already have those, enabling them to take full advantage of opportunities in and outside the GBA, and stay ahead of the game in a world where constant disruption is the status quo.
As William Gibson might say, Intelligent enterprises are not yet evenly distributed. But, for Hong Kong, the rest of the GBA, and the world, they are definitely the future!