Strategic Priorities in a Digital Economy
The digital economy is disruptive. High-tech companies need strategic priorities that drive transformation. SAP supports a reimagined set of E2E business scenarios to support the strategic priorities of working in a digital environment.
- Subscribing to outcomes - High-tech companies are shifting from selling products and services to selling measurable results that are relevant to their customers. Becoming an outcome provider requires a different business model –one where customers can pay for the outcome. As high-tech companies realize this, they are increasingly acquiring, building, and joining the platforms and ecosystems that are needed for the outcome economy
- Realizing a digital supply chain - Transform your supply chain into a responsive network. Companies everywhere face volatile customer demand and heightened expectations of responsiveness. Innovative technologies can help resolve these issues by providing vital business information across the network, improving real-time analysis, and enabling better collaboration across departments and trading partners –thus making the supply chain more responsive.
- Providing digital smart products - Digitally connect your products and transform them into solutions. Enabling products to provide intelligence about their usage and to be upgraded remotely any time with the latest features required by customers allows for differentiation in an industry where products get rapidly commoditized. Data-based services can be monetized, and individualized offerings can be provided cost-effectively. Leverage IoT technology to connect products to R&D and sales processes.
- Achieving customer intimacy - Putting the end customers‘ point of view at the center of every decision is a key prerequisite for success in the digital age. This does not stop in the sales department but also applies to what products are built and what services are offered
So, how does the incumbent not only defend itself but also become the disrupter?
Plan less, experiment more
Many refer to the high-tech industry as dynamic, however, it is better characterized as frenetic. Product launch delays, yield losses, and IP disputes can all lead to unexpected events that can throw off a perfectly crafted plan. However, for some, this also represents an advantage. Those who can leverage their data and incorporate more simulation and other sophisticated analytic techniques to model their environment will respond much faster to unforeseen events.
Harness the intelligence of the network
High-tech companies have a long-standing history of developing complex supply chain networks to enable high efficiency, which keeps prices down and quality high. These networks have evolved to handle more than just physical goods; they are now conducting commerce, distributing IP, and contain component pricing awareness. The data required for sophisticated decision-making has now shifted to the network, providing the next frontier for data exploration.
Make every meeting a decision making meeting
Most meetings are best described as information-sharing sessions. Participants often spend most of their time preparing and reconciling reports yet often end up with poor meeting outcomes due to a lack of current information. With the unprecedented speed of competition within the industry, executives need real-time information to make prompt decisions. Adopting innovative solutions to support rapid and informed decision-making can shift the focus from reporting to achieving outcomes.
Recognize the Knowledge Worker
Arguably, the most valuable asset for a technology company is the productivity of the knowledge worker. Far too often, these employees are straddled with excessive data preparation tasks involving spreadsheets and must spend precious time filtering through extraneous data. This leaves little time to focus on business outcomes. Decision support tools have evolved to take the burden of data preparation off individuals and provide them with predictive capabilities –accelerating productivity.
The intelligent ERP
Bringing SAP S/4HANA and SAP Leonardo technologies together as a digital core will result in a more flexible and intelligent enterprise. To achieve next-generation business processes, companies need an intelligent ERP solution that can be continuously enhanced and extended with innovative business services and applications built on emerging technologies, including machine learning, blockchain, and the Internet of Things (IoT). High-tech organizations that have big innovation appetites or prefer to be early adopters have already begun this journey.
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