A Modern Data Management Platform lays the foundation for achieving: Right Living where patients are encouraged to play an active role in their own health by making the right choices about their lifestyle; Right Care where patients receive the most timely, appropriate treatment available; Right Provider where they have strong performance records and can achieve the best outcomes; Right Value where providers and payers continually look for ways to improve value while improving health-care quality; and Right Innovation where all stakeholders focus on identifying new therapies and approaches to health-care delivery.
The healthcare and life sciences track at Modern Data Management Summit 2017 invited industry leaders who shared thoughts on contemporary industry themes such as data-driven strategies to improve commercial effectiveness in life sciences, democratization of master data management (MDM) helping pre-commercial companies with faster product launches, insights-driven customer and patient engagement in healthcare, and real-time data enrichment with data as a service.
The inagural Modern Data Management Summit attracted more than 300 data management leaders and practitioners who came together to learn, share, and network.The cross-industry participation from life science, healthcare, media, high technology, automotive, financial services, and consulting gave participants an opportunity to learn from best practices outside their market. With 39 sessions in two days, the event was a cornucopia of knowledge.
Hadoop, HBase, Cassandra, Graph Databases, MapReduce, Spark and the continuous stream of new technologies have changed the way data can and should be managed. However stitching together all of the pieces required to have a complete end-to-end offering and support a wide variety of business needs across an enterprise is a complex undertaking. A Modern Data Management Platform helps you keep up with this evolving technology landscape and allow you to solve all your operational (as well as analytical) challenges faster and in a more agile manner.
To only see innovation as “a product” would be myopic. New services, processes, alliances, and business models equally contribute toward making a meaningful innovation ecosystem. However, there are 4 significant barriers to operational innovation namely - #1 Data Silos Within Organization. #2 Data Silos Across Organizations. #3 Rigid Data Model. #4 Unreliable & Out-of-Context Data. Data-driven applications built upon a Modern Data Management Platform help transcend these barriers and put all business users at the helm of growth, innovation, and digital transformation trajectory.
The combination of modern data management and data-driven applications will dramatically change the way organizations manage their suppliers. Business leaders must take a holistic approach to digital transformation for revamping their supplier ecosystem and staying competitive in today’s global market.