The Ledger

Next-Generation Manufacturing Processes Are Here to Stay

Industrial machinery and component manufacturers are stretched thin, addressing global challenges like the need for clean energy, smart cities, and a circular economy. In addition, they are confronted with ever more demanding customers and the transformation of their business ecosystem, including customers, partners, and competitors. Innovative industrial machinery and component manufacturers are tackling these challenges by pursuing new business models based monetizing data assets. These companies are embracing new technologies as they focus on strategic priorities to drive digitalization. These strategies are helping them realize their vision.

Read More at The Digitalist by SAP >

Do You Have the Tools to Promote Agility in Your Organization?

An agile way of managing application changes allows requirements to be delivered to the business in shorter, more frequent releases. This goes further than leveraging only an ERP system. Companies that are trying to improve operational efficiency and implement process improvements need more agile methodologies that can deliver continuous business value. There is nothing inherently wrong with delivering applications that are pre-planned, budgeted and have a well-defined scope. But just because it is done this way doesn’t mean that risk is removed. A tool that promotes an agile business environment allows the business to react quickly and strategically to change, and therefore create a more efficient workforce overall.

Read More at The Digitalist by SAP >

Data-Driven Analytics for Financial Services

Data-driven analytics are key to the current and future competitiveness of financial service companies. By capturing and leveraging massive volumes of data, financial services companies can capitalize on new data-driven business opportunities. The first step toward realizing this goal is a solid data management foundation that supports the analysis of both enterprise data and Big Data. Once this foundation is established, financial services organizations can begin implementing machine learning algorithms to support automated decision-making and data-driven process optimization- helping them generate insights that create better customer experiences, improve operational efficiency and drive sales.

Read More at The Digitalist by SAP >

Intelligent Automation in the C-Suite

“Intelligent automation boosts both day-to-day finance functions and the quality of finance’s strategic insight.”

Digital Transformation is in everyday tasks and gives insight into how AI impacts the average finance member up to the CFO. The greatest benefits of automated processes come from the finance function’s improved ability to be proactive and creative in providing the company with insights on trends driving the business. The heightened ability to use data to create better-informed narratives based on the fluctuation analysis provided by AI has enabled businesses to reach a higher level of sophistication in every finance team’s work.

Read More at CFO Magazine >