Using Data Modeling and Predictive Analytics to Power Smarter Healthcare

Futurety

The healthcare market is trending to reach an expenditure upwards of $32 billion by 2022. Big Data continues to be at the forefront in compelling the industry forward. Join Bill Balderaz and Philip Payne during this 30-minute webinar to understand how Big Data is transforming the healthcare landscape: reducing medication errors, decreased hospital costs and wait times, improving services, and increasing patient privacy. Balderaz and Payne will also discuss how Big Data is predicting opioid usage and preventing hospital readmissions.
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Spotlight

Take a virtual tour through IBM Impact 2014 and discover how to elevate your big data and analytics with live streaming videos, in-depth coverage, big announcements from the event and more...

OTHER ON-DEMAND WEBINARS

Building the Road Map for Real-Time Data and Analytics

As organizations strive to be more competitive, they often need real-time insights; no one wants to make decisions based on stale data. TDWI research indicates that real-time data collection is already in the mainstream. Some use cases include inventory management, fulfillment, supply chain, and logistics in which retailers must be able to assess product availability and consumer demand in real time. Forward-looking organizations also want to enrich real-time data with other data types to provide even better analytics.
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Modernizing Metadata

tdwi.org

Metadata is more relevant than ever. It continues to be a powerful enabler for high-value data-driven business activities across operations, analytics, and compliance. However, to maintain this relevance, metadata management must deal with the increasing complexity of today’s business use cases and hybrid data environments. Metadata management is notoriously manual which makes it slow in development and error-prone in maintenance. Metadata management needs better tool automation. Metadata management is typically siloed due to users managing metadata per tool or platform. Metadata management needs a unified solution that is suited to sharing, reuse, governance, and comprehensive views of distributed data.
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Why Your Data Management Strategy Isn’t Working

IDERA

Despite good intentions, data management strategy and practices are coming up short in the majority of organizations. This is often due to many factors that are attributable to low data maturity and misalignment with business objectives. IDERA’s Ron Huizenga will discuss a number of misconceptions and behaviors that limit effectiveness, as well as how to overcome them. This will enable you to identify and implement the necessary changes to achieve business alignment and derive maximum value from your data management strategy and practices
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Data Privacy During Economic Downturn: How to Make It Work With Limited Resources?

The global spread of the novel coronavirus (COVID-19) and the economic impact that followed has prompted many businesses to furlough the workforce or migrate from the traditional office to remote-working environments. The volatile landscape has created incremental risks, especially for organizations heavily relying on IT Sec/Ops teams to monitor security and privacy and enforce regulatory compliance.
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