Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media.
Ziff Davis Custom Whitepaper: Analytics relies on BI, Big Data, and data discovery to provide reporting, trend analysis, and what-if analysis.iii Analytics is defined as the scientific process of transforming data into insight for making better decisions.
Hear from the University of Michigan Health System’s CMIO, Dr. Andrew Rosenberg, to learn how this institution is achieving their goal for internal/external operability in support of their enterprise analytics roadmap to support its clinical, research, education and administrative missions. Learn more about the specific challenge's that were solved, how they integrated systems of record with medical devices, and hear about their plans for future integration.
The IBM Enterprise Health Analytics solution delivers immediate value for an organization’s specific business analytics while laying the foundation for future analytics capabilities that may be added as needs evolve.
It is important for healthcare organizations to become data driven. IBM can help organizations leverage a wide range of big data to deliver clinical and financial benefits, and the provide the steps organizations should take to become data driven.
This white paper discusses how enterprise analytics systems can assist provider organizations in building sustainable healthcare systems and achieving their vision for accountable care—from near-term demands for regulatory and quality reporting to transforming care delivery.
A multitude of “things” generate floods of big data – cars, wearables, machines and appliances. Wouldn’t you like to sift through that noise and become an organization that relies on data to make fact-based decisions? Learn about the three foundations of becoming data-driven – data management, analytics and visualization – and how they can increase profitability, boost performance, raise market share and improve operations. Read about hurdles to becoming a data-driven organization and learn best practices from others. Then get a glimpse of what the future holds with the Internet of Things (IoT), edge analytics, artificial intelligence (AI) and other technology innovations.
There is a continuing disconnect between lT and lines of business with regard to analytics. While IT sees itself contributing to and guiding analytics strategy, LOB is more likely to see it as a roadblock. But the nature of analytics is changing, presenting a new, unique role for the CIO.
This paper will discuss the barriers to data-driven decision making for midsized businesses, and how experts and non-experts alike can use SAS Visual Analytics to unlock the value of data – including big data – to increase revenue, cut operational costs and better manage their business.
With a wealth of information readily available online, consumers are now better able to compare products, services and prices—even as they shop in physical stores. When consumers interact with retailers publicly through social media, they have greater power to influence other customers or damage a brand. These and other changes in the retail industry are creating important opportunities for retailers. But to capitalize on those opportunities, retailers need ways to collect, manage and analyze a tremendous volume, variety and velocity of data.
Published By: Datawatch
Published Date: Mar 21, 2014
Big Data is not a new problem. Companies have always stored large amounts of data—structured like databases, unstructured like documents—in multiple repositories across the enterprise. The most important aspect of big data is not how big it is, or where it should be stored, or how it should be accessed. It’s the efficacy of business intelligence tools to plumb its depths for patterns and trends, to derive insight from it that will give companies competitive advantage in an increasingly challenging business climate. Visualization allows companies to analyze big data in real-time across a variety of sources in order to make better business decisions.
Adobe strives to help marketers not only collect and analyze data, but to turn data into relevant actions that reach customers in personal ways. Forrester has gathered the trends of big data and rich data to give you a sense of how they'll be used differently in 2014.
The growth of cloud, mobility, social business and big data mean that botnets, credit card theft, cyber criminals and other external threats pose increasing risk to business continuity, financial stability and brand reputation. Read the white paper, “Preventing security risks in real time,” to learn how this new reality is forcing the evolution of organizations’ defenses to become more intelligent—using global analytics to scale visibility across broad data sets, both diverse and complementary, in real time.
These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse.
The ability to keep pace with trends like big data, open data, sophisticated analytics, and the de-compartmentalization of data silos and processes, distinguishes leading master data management (MDM) solutions from their counterparts. IBM, one of the five vendors in this evaluation, is positioned as THE leader with the most prominent, widely implemented solution in the market.
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