How To Drive Value-Based Care With Modern Data Management

How To Drive Value-Based Care With Modern Data Management

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.

Reltio Partner Ecosystem Shines Brightly at Inaugural Modern Data Management Summit

Reltio Partner Ecosystem Shines Brightly at Inaugural Modern Data Management Summit

The Reltio hosted Modern Data Management Summit aka, #DataDriven17, industry conference where the remarkable Reltio partner ecosystem was in full force. The knowledge and content-rich material that was shared by the Reltio partners garnered positive feedback from all attendees.

What’s So ‘Modern’ About Modern Data Management?

What’s So ‘Modern’ About Modern Data Management?

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.

4 Barriers to Leveraging Big Data for Operational Innovation

4 Barriers to Leveraging Big Data for Operational Innovation

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.

Big Data in Life Sciences. Blessing or Curse?

Big Data in Life Sciences. Blessing or Curse?

Whether Big Data in life sciences is a blessing or curse depends on whether the organization repeats the same mistakes, or proceeds down the wrong path to obtain much desired insight. Read on to find out the mistakes to avoid.

Driving Business Value Through a Data-driven Supplier Ecosystem

Driving Business Value Through a Data-driven Supplier Ecosystem

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.