Don Woodlock reviews the current state of healthcare, the challenges it faces, and the potential strategies and innovations that could be used to improve it.
Presented by Don Woodlock, Head of Healthcare Solutions, InterSystems
InterSystems Data Fabric Studio is an essential element of a modern data strategy required to enable growth, optimize business reporting, reduce risk, and support compliance for any firm in the financial services industry.
Ta reda på vad en relationsdatabas är, dess viktigaste funktioner och varför den är så viktig för ditt företag. Lär dig mer om dess fördelar, populära system och hur den står sig i jämförelse med andra databaser
Data fabric is a more flexible data architecture that can work without building yet more data silos and instead synamically access data in situ in operational source systems.
InterSystems, one of the world’s most trusted data management platform providers, is expanding its partnership ecosystem to bring innovation to supply chain management. In the face of constant change, disruption, and opportunity, organizations need a streamlined source of unified and reliable data that is available in real-time. InterSystems Supply Chain Orchestrator eliminates the data challenges that organizations encounter on their path to insight-driven performance across their entire supply chain. Empower your supply chain application ecosystem by leveraging a centralized data platform that acts as a connective tissue, enabling seamless integration of diverse data sources, and real-time detection of disruptions and opportunities. This unified approach provides a comprehensive view of your organization’s supply chain data, resulting in one reality.
Today more than ever before, organizations are striving to gain a competitive edge, deliver more value to customers, reduce risk, and respond more quickly to the needs of the business. To achieve these goals, organizations need easy access to a single view of accurate, consistent, and trusted data – and all in real time. However, growing volumes and complexities of data make this difficult to achieve in practice. As data grows, so does the prevalence of data silos, making integrating and leveraging data from internal and external data sources a challenge.