Integrated predictive analytics, big data, mobility, and real-time analytics are transforming all industries, including life sciences. These tools and technologies can change how the industry works, how a life sciences organization is run, and how information is managed.
Forward-thinking businesses of today need to consider digitization and reflect the continuously changing requirements through their processes. Indian top-level executives need to reimagine business processes and models to embark on the path of digitization.
Even in the Indian life sciences space, companies must digitize in order to grow profit and revenue, and cut down costs by simplifying operations. The digital economy finds value in serving the patient, the provider, and the physician. These solutions connect the workforce, the Internet of Things, the supply network, and the end consumers.
Key Focus Areas for a Digital Life Sciences Enterprise
There are five critical areas to focus on to build a digital enterprise in life sciences:
- Outcome-based customer experience and enhanced patient interactions which can lead to personalized medication, value-added services, and outcome-based treatment
- Smarter, empowered, and engaged workforce across employees, contractors, and clinical researchers
- Re-imagined core business processes that combine transactions and analytics to result in faster, simpler, and easier real-time operations
- Improved collaboration with suppliers, contract organizations, care providers, and scientists to accelerate innovation and growth
- Improving R&D operations with assets, big data, and IoT. Connecting providers and patients and harnessing real-time data about patients or the status of machines and apparatus.
Get Around Tech Limitations with Digital Core
Advanced in-memory computing puts an end to running a business in batch mode and building complex reporting applications.
The digital core for the digital life sciences enterprise is an integration of:
- Real-time – Real-time insights into the business can impact how life sciences enterprises work, how they approach specific market segments, and how they organize internally and with health sciences network.
- Prediction and Simulation – Employees can drive research, quick responsiveness, high quality, and ensure compliance to improve patient outcomes by leveraging real world data with prediction and simulation.
- Agility – The flexibility to understand new insights, implement changes, and acquire new clinical platforms will mean an edge over the competition.
- Deployment and TCO – Running the core should be anything but complex. Given the choice to deploy on-premise or on-cloud, with in-memory computing, life sciences companies will reduce TCO and free up resources to innovate services, devices, and drugs.
- Consumer-grade UX – User experience is critical to success. It drives engagement, adoption, and productivity enabling better patient-centricity.
Get a single, real-time view of the plant and access real-time analysis of quality and risk with SAP S/4HANA. SAP S/4HANA covers org-wide processes and runs in memory.
SAP S/4HANA can give you a 360-degree view of the customer segments to bring better patient outcomes. With SAP S/4HANA, companies can write data once but use it multiple times for predictions, analytics, decision making, and simulations.
Get in touch with the experts at itelligence (an SAP Platinum Partner) if you have any questions or if you would like a free consultation.