advanced analytics

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Published By: GE Healthcare     Published Date: Jun 29, 2015
The financial environment in which healthcare providers operate has dramatically shifted with the passage of the Patient Protection and Affordable Care Act (ACA) and the associated market transformations in coverage, care delivery and reimbursement. Importantly, providers are taking on higher levels of risk. They are managing existing fee-for-service arrangements, a growing number of risk-based arrangements, care coordination with community partners, and quality reporting. The complex and changing landscape of how care is organized, measured and reimbursed is forcing financial leaders to seek out new approaches and tools to help them meet and adapt to healthcare reform. This paper will explore some of the market dynamics driving the financial volatility in healthcare and will explore how advanced analytics, with the right IT backbone and organizational competencies, can help organizations successfully identify ways to manage revenue cycle profitability.
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GE Healthcare
Published By: Zaloni     Published Date: Apr 24, 2019
Why your data catalog won’t deliver significant ROI According to Gartner, organizations that provide access to a curated catalog of internal and external data assets will derive twice as much business value from their analytics investments by 2020 than those that do not. That’s a ringing endorsement of data catalogs, and a growing number of enterprises seem to agree. In fact, the global data catalog market is expected to grow from US$210.0 million in 2017 to US$620.0 million by 2022, at a Compound Annual Growth Rate (CAGR) of 24.2%. Why such large and intensifying demand for data catalogs? The primary driver is that many organizations are working to modernize their data platforms with data lakes, cloud-based data warehouses, advanced analytics and various SaaS applications in order to grow profitable digital initiatives. To support these digital initiatives and other business imperatives, organizations need more reliable, faster access to their data. However, modernizing data plat
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Zaloni
Published By: Hewlett Packard Enterprise     Published Date: Jul 12, 2016
Technology enables business transformation To thrive in today’s idea economy, small and midsize companies like yours are using technology to transform their business. Like your peers, you know that mobile applications, cloud-based solutions, and advanced analytics can help you increase productivity, reduce costs, and grow your business. Older servers, storage, and networking products weren’t built to handle the exploding amount of data that is being shared today. In order to take advantage of these modern applications, many companies have found that they need to close the gap between what their business demands and what their IT systems can deliver.
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best practices, business optimization, business management, application management, enterprise application, business intelligence, transformation
    
Hewlett Packard Enterprise
Published By: Cisco     Published Date: Jul 08, 2016
What You Will Learn: This document will identify the essential capabilities you need in an advanced malware protection solution, the key questions you should ask your vendor, and shows you how Cisco combats today’s advanced malware attacks using a combination of four techniques: • Advanced analytics • Collective global security threat intelligence • Enforcement across multiple form factors (networks, endpoints, mobile devices, secure gateways, and virtual systems) • Continuous analysis and retrospective security
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Cisco
Published By: SAS     Published Date: Jan 17, 2018
Insurers have long been plagued by fraud, error, waste, and abuse in health care payments. The costs are huge – amounting to as much as 25 percent of payments made. Today’s data management and analytics platforms promise breakthroughs by incorporating comparative and behavioral data to predict as well as detect loss in all its forms. To explore the opportunities and how insurers can capitalize on them, IIA spoke with Ben Wright, Sr. Solutions Architect in SAS’s Security Intelligence Global Practice.
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SAS
Published By: Pentaho     Published Date: Nov 04, 2015
Although the phrase “next-generation platforms and analytics” can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and today’s reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.
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pentaho, analytics, platforms, hadoop, big data, predictive analytics
    
Pentaho
Published By: Oracle CX     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
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Oracle CX
Published By: Riverbed     Published Date: Jan 25, 2018
This Enterprise Management Associates® (EMA™) research summary, sponsored by Riverbed®, highlights some of the key findings of EMA’s landmark report, “Network Management Megatrends 2016: Managing Networks in the Era of the Internet of Things, Hybrid Cloud, and Advanced Network Analytics.” It examines several major areas of change and evolution affecting network management. These “megatrends” include hybrid cloud networking, the Internet of Things (IoT), advanced network analytics, network management outsourcing, and network management tool consolidation.
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Riverbed
Published By: Preempt     Published Date: Nov 02, 2018
In our 2018 Trends in Information Security report, we outlined a concept we referred to as the ‘identity-aware perimeter.’ The essential idea is that as new architectures such as cloud, containers, mobility and IoT take hold, controlling access to resources will increasingly need to rely on identity as an alternative to purely network-based approaches focused more on ‘where’ you are than ‘who’ you are. By combining identity with user and entity behavior and risk scoring to gate access, Preempt fits squarely within this trend, which we think could be one of the most interesting and powerful to hit the infosec market in years. Preempt has few direct competitors, and its initial challenge will be finding ways to distinguish itself from vendors in adjacent categories such as adaptive multi-factor authentication (MFA), advanced threat protection, user and entity behavior analytics (UEBA) and cloud access security brokers (CASB), to name a few. Forging a new security category is never easy,
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Preempt
Published By: TIBCO Software     Published Date: Mar 15, 2019
On-demand Webinar The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products. Watch this webinar to learn how TIBCO’s Smart Manufacturing solutions can help you overcome these challenges. You will also see a demonstration of TIBCO technology in action around improving yield and optimizing processes while also saving costs. What You Will Learn: Applying advanced analytics & machine learning / AI techniques to optimize complex manufacturing processes How multi-variate statistical process control can help to detect deviations from a baseline How to monitor in real time the OEE and produce a 360 view of your factory The webinar also highlights customer case studies from our clients who have already successfully implemented process optimization models. Speakers:
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TIBCO Software
Published By: SAP     Published Date: Dec 04, 2015
Download this whitepaper to see how advanced technologies such as big data, cloud computing, mobile devices, and enterprise access to in-memory platforms, predictive analytics, and planning software can help CFOs make better and more sophisticated use of data, influence decisions, and take practical, timely action.
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finance function, finance, cfo, big data, cloud computing, mobile, in-memory platforms, predictive analytics, planning software
    
SAP
Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
Creating predictive analytics from alternative data has become the current focus of the biggest quant trading firms in the industry The democratization of financial services data and technology, together with more intense competition, makes the needs of today’s market participants vastly different from those of previous generations. Firms must locate untapped sources of data for both public and non-public companies. This alternative data, such as payment data and other non-public information, from sources beyond the common channels, can be a predictive indicator of market performance; a difference maker in assisting firms as they develop models to evaluate their investments. By combining our unique data sets with advanced analytics, traders, analysts and managers can seek predictive signals and actionable information utilizing their own models. View our research report to learn how alternative data, our 'Information Alpha,' can help you earn differentiated investment returns.
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Dun & Bradstreet
Published By: GE Healthcare     Published Date: Aug 27, 2015
This paper will explore some of the market dynamics driving the financial volatility in healthcare and will explore how advanced analytics, with the right IT backbone and organizational competencies, can help organizations successfully identify ways to manage revenue cycle profitability.
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centricity business, financial management, analytics, revenue cycle, hospital billing, hospital finance, patient billing, rcm, episodic payment, accountable care, icd-10, healthcare reform, shared savings, capitation, payment reform, risk based contracting, hospital consolidation, [mjm] claims, denials, cost to collect
    
GE Healthcare
Published By: FusionOps     Published Date: Jun 15, 2016
Bimodal capabilities, customer intimacy and advanced analytics can all be enabled by digital technologies, allowing supply chains to be both cost-effective and innovation-driven. This research explores the implications of these leading trends for chief supply chain officers.
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FusionOps
Published By: Rohde & Schwarz Cybersecurity     Published Date: Nov 28, 2017
According to many market research analysts, the global wireless access point (WAP) market is anticipated to continue its upward trajectory and to grow at an impressive compound annual growth rate (CAGR) of approximately 8% through 2020. Many enterprises are utilizing cloudcomputing technology for cost-cutting purposes, eliminating investments required for storage hardware and other physical infrastructures. With significant growth expected in Internet usage, particularly bandwidth consuming video traffic, WAP vendors need to enable their customers to monitor and improve device performance, improve end user experience, and enhance security. These customers include general enterprises that offer Internet access to patrons like airports, hotels, retail / shopping centers and so on. These external Internet access providers can differentiate themselves by offering optimum service through advanced network analytics, traffic shaping, application control, security capabilities and more.
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utilization, challenges, dpi, benefits, airport, public, wifi, qoe, qos, security
    
Rohde & Schwarz Cybersecurity
Published By: Infomatica     Published Date: Jul 15, 2015
Read “What it take to deliver advanced analytics” to discover: Why so many analytics projects suffer and how to avoid the most common missteps The seven symptoms of bad data and how to spot them The six principles of intelligent data management and how to put them into practice so you can become a decision-ready enterprise
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Infomatica
Published By: Avanade DACH     Published Date: May 08, 2018
In this six-step guide, we aim to help you solve your data challenges to prepare for advanced analytics, cognitive computing, machine learning and the resulting benefits of AI. We’ll show you how to get your data house in order, scale beyond the proof of concept stage, and develop an agile approach to data management. By continually repeating the steps in this guide, you’ll sharpen your data and shape it into a truly transformational business asset. You’ll be able to overcome some of the most common business problems, and work toward making positive changes: • Improve customer satisfaction • Reduce equipment outages • Increase marketing campaign ROI • Minimize fraud loss • Improve employee retention • Increase accuracy for financial forecasts
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Avanade  DACH
Published By: Pure Storage     Published Date: Apr 10, 2019
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly, and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
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Pure Storage
Published By: Secureworks ABM UK 2017     Published Date: Oct 23, 2017
SecureWorks provides an early warning system for evolving cyber threats, enabling organisations to prevent, detect, rapidly respond to and predict cyber attacks. Combining unparalleled visibility into the global threat landscape and powered by the Counter Threat Platform — our advanced data analytics and insights engine —SecureWorks minimises risk and delivers actionable, intelligence driven security solutions for clients around the world.
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cyber security, cyber security framework, data security, firewall, general data protection regulation, incident and problem management, information security, intrusion detection, intrusion prevention, log management, malware, vulnerabilities, managed security services, network security, pci compliance, penetration testing, ransomware security consulting, security management, security monitoring, vulnerability assessments
    
Secureworks ABM UK 2017
Published By: ipoque     Published Date: Oct 04, 2018
The SD-WAN market is growing fast, but so is competition. In such a competitive environment, SD-WAN vendors need to offer products with unique features and capabilities in order to stand out. Real-time application visibility powered by deep packet inspection (DPI) software can be the decisive element in achieving them. This whitepaper highlights the key value of DPI software, which is enabling advanced SD-WAN analytics and security features.
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dpi, deep packet inspection, sd-wan, analytics, network analytics, traffic analytics
    
ipoque
Published By: IBM     Published Date: Apr 05, 2016
Learn why advanced analytics tools are essential to sustain a competitive advantage. This white paper reveals seven strategic objectives that can be attained to their full potential only by employing predictive analytics.
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ibm, predictive analytics, enterprise evolution, analytics tools, applied organization learning
    
IBM
Published By: IBM     Published Date: Oct 26, 2016
Predictive analytics has come of age. Organizations that want to build and sustain competitive advantage now consider this technology to be a core practice. In this white paper, author Eric Siegel, PhD, founder of Predictive Analytics World, reveals seven strategic objectives that can only be fully achieved with predictive analytics.
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ibm, predictive analytics, analytics tools, advanced analytics
    
IBM
Published By: IBM     Published Date: Jan 18, 2017
Predictive analytics has come of age. Organizations that want to build and sustain competitive advantage now consider this technology to be a core practice. In this white paper, author Eric Siegel, PhD, founder of Predictive Analytics World, reveals seven strategic objectives that can only be fully achieved with predictive analytics. Read this paper to learn how your organization can more effectively: Compete – Secure the most powerful and unique competitive stronghold Grow – Increase sales and retain customers competitively Enforce – Maintain business integrity by managing fraud Improve – Advance your core business capacity competitively Satisfy – Meet today's escalating consumer expectations Learn – Employ today's most advanced analytics ....and finally, render your business intelligence and analytics actionable.
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predictive analytics, increase sales, customer retention, fraud management, consumer expectations
    
IBM
Published By: Pure Storage     Published Date: Jan 12, 2018
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifically to work with high-powered analytics.
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data, deep learning, automated, intelligence, pure storage
    
Pure Storage
Published By: HP - Enterprise     Published Date: Jun 04, 2013
Hewlett-Packard (HP) is unique in this EMA Radar in its ability to combine two threads – a single analytic overlay as embodied in its Service Health Analyzer (SHA) product, and a broader suite solution optimized for HP to participate in all three use cases here with maximum functional impact. This is not entirely a black-and-white situation, as SHA does leverage and currently largely depends on integration with HP Business Service Management 9.1, which is itself a suite. But SHA can assimilate other third-party sources, checks out brilliantly in early-phase deployments in terms of time-to-value and analytic power, and is the lead reason for HP’s strong Value Leader showing in technical performance management.
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ema radar, performance analytics, apa, service health analyzer
    
HP - Enterprise
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