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

Big data continues to be the topic of much discussion and hype, and companies that have pioneered ways to analyze big data and integrate it with traditional data are finding that the benefits are very real. Big data—information gleaned from nontraditional sources such as blogs, social media, email, sensors, photographs, video footage, etc., and therefore typically unstructured and voluminous—holds the promise of giving enterprises deeper insight into their customers, partners, and business. This data can provide answers to questions they may not have even thought to ask. What’s more, companies benefit from a multidimensional view of their business when they add insight from big data to the traditional types of information they collect and analyze. For example, a company that operates a retail Web site can use big data to understand site visitors’ activities, such as paths through the site, pages viewed, and comments posted.

OTHER ON-DEMAND WEBINARS

Overcoming the Obstacles for Data Lake Success

Business users have a tremendous appetite for data. The “single version of the truth” was a rallying cry to deliver business data in data warehouses for years. Users were able to digest and analyze large volumes of corporate data. They reviewed trends, identified anomalies, and supported decision-making because they had the detailed data to support action. As the business/data environment matured, the need for more diverse detail and increased delivery speed only grew. The data lake became a successful mechanism for delivering data from diverse systems in a timely manner.
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Data-Driven Product Development

DataCamp

In this webinar, Ramnath Vaidyanathan, VP Product Research at DataCamp, shares how DataCamp uses data in a big way to drive the development of products and content at scale. He gives some practical examples & insights of ways data has shaped DataCamp's products. Finally, Ramnath goes through the data-driven development process so you can apply the same principles to the products you are building.
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The Rise of Data Mesh and Data Fabric Architectures

As businesses strive to advance digital transformation efforts, legacy architectures can be a significant obstacle to enabling the agility required to succeed in today's ever-changing data landscape. Many enterprises struggle with scaling the delivery of data and analytics to accommodate the growing array of data domains, users, and use cases. As a result, data mesh and data fabric architectures are on the rise with the aim of abstracting data management complexity, increasing data availability, and fostering greater collaboration.
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Modernizing the Legacy Data Warehouse – What, Why, and How

cloudera

The Eckerson Group's Dave Wells and Cloudera's Eva Nahiri share the challenges of legacy data warehousing, the goals of modern data warehousing, and the design patterns and frameworks that help to accelerate modernization efforts.
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Spotlight

Big data continues to be the topic of much discussion and hype, and companies that have pioneered ways to analyze big data and integrate it with traditional data are finding that the benefits are very real. Big data—information gleaned from nontraditional sources such as blogs, social media, email, sensors, photographs, video footage, etc., and therefore typically unstructured and voluminous—holds the promise of giving enterprises deeper insight into their customers, partners, and business. This data can provide answers to questions they may not have even thought to ask. What’s more, companies benefit from a multidimensional view of their business when they add insight from big data to the traditional types of information they collect and analyze. For example, a company that operates a retail Web site can use big data to understand site visitors’ activities, such as paths through the site, pages viewed, and comments posted.

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