
Harness the new technologies that match your growth ambitions
Data is everywhere – and it’s waiting to be used to drive the development of new business processes and disruptive new business models. Your company’s ability to harness the power of data is the key to future-proof decision-making and the great differentiator of the digital age.
Even more, data is used to power emerging machine-learning platforms that drive truly intelligent business processes with minimal input. However, in this dawning era of digitally made decisions, it’s important to balance the complementary advantages of human and machine.
your company’s ability to harness the power of data is the key to future-proof decision-making and the great differentiator of the digital age.
The 4 stages of leveraging data
- Capturing: identifying the appropriate data to track is the first step toward high-impact business intelligence.
- Management and governance: having the data isn’t enough; it also has to be clean, accurate and relevant. A concrete approach to data management and governance is a key step towards real insights.
- Modeling and analytics: raw data is useless. Structuring it in a way that meets your needs is the fast track to unlocking its secrets.
- Consumption: in this final step, data is leveraged using data visualization, descriptive, predictive and prescriptive approaches, enabling the development of a data-driven organization.
ENABLING TECHNOLOGIES
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Quality assurance on SAP S/4HANA
Whether you’re building cars or code, the importance of quality assurance (QA) can’t be overstated. Not only does compromising on quality lead to customer dissatisfaction – or worse: accidents – it also causes significant delays and additional costs. Unsurprisingly, QA is gaining a lot of attention in coding and development. But what exactly are the characteristics of high-quality code, and how can developers meet these requirements?

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As the next generation of ERP, SAP S/4HANA has the potential to transform your organization’s business strategy by enabling your people to make informed, data-driven decisions in real time. It also paves the way for new technologies like AI, machine learning, and IoT, and its lightning-fast data handling accelerates every data-related process.