The Intelligent Enterprise for Life Sciences Leverages SAP Leonardo Apps and Services
Traditional business process in the Life Science industry like order/quote to cash, procure to pay, plan to make, hire to retire, and record to report used ERP systems for last few years. However, today’s business models are changing and customers are looking for innovative solutions that can make the entire extended enterprise behave in an intelligent manner with its downstream customers, upstream suppliers and managing own operations in a smart way, in-house. So, reliance on the intelligent enterprise is a necessity for the Life Science industry for the coming decade.
Intelligent Enterprise characteristics like visibility are critical for connecting IoT data for transparency in supply chain adhering to serialization regulations. Agility is required for faster time to value in bringing commercial drug and devices to market, where as focus is needed in R&D for effective clinical trials and development to identify targeting the right molecules for reducing overall time to market. Intelligent Enterprises allow for learning from historical events like forecast, quality non-conformances and allow for new insights with patient experience data, using that knowledge for focused decisions by leveraging those insights and analytics to be able to take proactive action, rather than reactive measures. SAP Leonardo has the machine learning capabilities to collect and connect machine-level data to recognize unseen patterns and improve productivity. Services can simulate the impact of potential business options in various lines of business and scarce resources can be leveraged for maximum impact. IT cloud-based applications can enable business to respond faster to changes in the marketplace, pivot business processes toward the right customer outcomes thereby generating new revenue streams as products sales moves into services sales.
The Intelligent Enterprise for Life Sciences offers scalable, flexible, modular end-to-end capabilities classified into three key areas:
- Optimizing existing business process to automate business process for generating more efficiency or reliability
- Extending current business processes beyond efficiency gains to capture new sources of value
- Transforming the company’s value chain or business model to capture new revenue streams
In Life Sciences, a few examples in the optimize category are: cash apps for accounts receivables/payables, service ticket intelligence and intelligent billing and for field service management, resume matching and resource management, intelligent travel expense and audit compliance, manufacturing performance management and remote condition monitoring of assets for shop floor areas.
Regarding extend scenarios, there are some critical examples in supply chain areas like asset intelligence network, predictive maintenance and service, digital manufacturing, sourcing simulation and optimization, and customer retention for commercial side of the business.
Every company is looking for transformative business process and SAP has industry innovation kits for cold chain in manufacturing managing time out of refrigeration and logistics – inbound and outbound monitoring temperature for bio-pharma segment.
There is also a strong focus on services and assets, supporting pay for outcome for the medical products and diagnostics segment. Another example for an end-to-end business process is around clinical trial supplies which can help the transformation of the development line of business within an enterprise,
For more information on the SAP Intelligent Enterprise, visit https://www.sap.com/products/intelligent-enterprise.html
The digital core enabled by SAP S/4 HANA becomes foundation with which realization of Intelligent Enterprise becomes a reality leveraging SAP cloud platform apps to provide exceptional customer experiences, trigger innovation that can reduce cost and improve efficiency. The above application examples were just a few ideas mentioned as part of Intelligent Enterprise for Life Sciences as we share more value added services that can support the digital economy.