“Once they’ve laid the business objectives and building blocks groundwork, enterprises can develop their digital transformation analytics roadmap. In order to achieve the desired business outcomes from the analytics process, they need to embrace a structured, five-step iterative approach.”
via Everest Group
Global revenue from demand planning applications will generate over $8 billion by 2025, as Artificial Intelligence (AI) capabilities offered by forward-thinking IT vendors and service providers continue to improve data-driven supply chain transformation.
According to the ‘Global Capital Confidence Barometer’, the use of technology, automation and AI for some routine processes is increasing as labor becomes scarcer and the battle for talent intensifies. This could enable companies to free up valuable resources to focus on broader strategic issues.
To an ever-increasing extent, open innovation is digital. Most innovations today are new products, processes or business models at least partly enabled by digital technologies or embodied in data and software.
The American digital economy accounted for 6.9 percent of the U.S. gross domestic product (GDP), or $1.35 trillion, in 2017, according to a new batch of statistics. The digital economy also supported 5.1 million jobs in 2017.
“CIOs must adopt an adaptive operating model — being agile will not be enough to succeed in the future. The IT organization’s capabilities, structures, governance, and leadership must support the firm’s capacity to reconfigure underlying business concepts.”