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This new Sage Growth Partners report summarizes findings from a survey of healthcare executives that identified their most common data management and analytics challenges and how a smart healthcare data fabric can help address them.

How much could a typical healthcare organization save by improving its data management? Healthcare organizations (HCOs) across the U.S. are making investments in analytics a top priority. But if the underlying data are bad, how can the insights be good?

InterSystems Technology Improves Your Demand Forecast Accuracy and Fulfillment Rates by Enabling Near-Perfect OTIF of 99.999% in Months Not Years

The trend toward increasingly diverse and distributed data can prevent organizations from realizing the full benefits of data democratization. Data fabric is an architectural approach that seeks to unlock the promise of modern data by providing a unified view regardless of its format or location. It compliments, rather than replaces, established solutions such as data warehouses and data lakes and provides a dynamic data layer that enables a wide range of business-critical use cases.

Multi-source clinical data may be messy, but InterSystems technology brings it together as a single, trustworthy, and clean resource for use in achieving and reporting on performance measures.

What happens when you have a bad digital experience with a business or provider? You usually don’t go back. Imagine the type of experience a first-time patient or member has when they visit your website. Usually, they want information, and most often they are looking for a physician or other provider of medical care. Are they able to find what they want? How easily? And are the results accurate and complete?

InterSystems technology will automate and optimize your repackaging production plan by improving fill rate up to 15 points in less than two months.

Learn how having a 360 degree view of the customer provides business benefits, and how Financial Center First Credit Union has made better use of their available data assets and hyper-personalized their client service.

Data fabric has emerged to provide a unified view of disparate and distributed data and to support any type of workload, from business intelligence to ad-hoc analytics to data science. Data fabric uses metadata and artificial intelligence/machine learning (AI/ML) to automate data management functions such as onboarding new data sources and managing metadata. It also simplifies combining data of different types and from different locations to provide seamless access to enterprise data.

Logistics Congestion, Geopolitical Tensions, Labor Shortages, and Increasing Operational Costs are Keenly Felt by Supply Chain Organizations