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Published By: HealthLeaders Media     Published Date: Feb 26, 2016
The need for analytic tools to make sense of disparate data sources will certainly be expanding in the upcoming years. This report highlights what analytical data healthcare leaders are currently focusing on, as well as the challenges they expect to face when using analytics to support their organizations in the future.
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HealthLeaders Media
Published By: McKesson     Published Date: May 27, 2015
The shift to value-based care creates a sharp increase in healthcare organizations and networks’ need for data collection, aggregation and analysis. This white paper outlines the challenges involved with performing population-level analyses, developing cost accounting and profitability analyses across care settings, evaluating care episodes and integrating quality data. It explores the limitations of targeted software solutions to provide cross-enterprise insights. Finally, it provides advice for healthcare executives regarding how to approach gathering quality and cost-related data and how to leverage technology and analytical expertise to drive risk-based contract success.
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McKesson
Published By: TIBCO Software     Published Date: Jul 22, 2019
What if you could use just one platform to detect all types of major financial crimes? One platform to handle the analytical tasks of fraud detection, including: Data processing and aggregation Data visualization Statistical/mathematical/machine learning modeling Batch/real-time scoring One platform that could successfully reduce complex and time-consuming fraud investigations by combining extremely different domains of knowledge including Business, Economics, Finance, and Law. A platform that can cover payments, credit card transactions, and know your customer (KYC) processes, as well as similar use cases like anti-money laundering (AML), trade surveillance, and crimes such as insurance claims fraud. Learn more about TIBCO's comprehensive software capabilities behind tackling all these types of fraud in this in depth whitepaper.
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
The Insurance industry continues to undergo significant transformation, with new technologies, business models, and competitors entering the market at an increasing rate. To be successful in attracting and retaining the most valuable customers, insurance companies must innovate and increase the speed at which they respond to customer demands. Traditionally, the insurance software market was dominated by a handful of specialist vendors with products that were initially expensive, difficult to deploy, costly to maintain, and did not provide the speed needed for today’s market. Now there has been a shift away from these “black box” applications to platforms that allow insurers to make their algorithmic IP available to business users, allowing much faster response to business demands. The algorithmic platform approach also comes at a fraction of the cost of black box solutions, while delivering advanced analytical techniques like Machine Learning and Artificial Intelligence (AI).
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TIBCO Software
Published By: SAS     Published Date: Sep 05, 2019
Envision this situation at a growing bank. Its competitive landscape demands an agile response to evolving customer needs. Fortunately, analytically minded professionals in different divisions are seeing results that positively affect the bottom line. • A data scientist in the business development team analyzes data to create customized • experiences for premium customers. • A digital marketer tracks and influences the customer journey for prospective • mortgage customers. • A risk analyst builds risk models for the bank’s loan portfolios. • A data analyst examines data about local customers. • A technical architect defines a new system to protect bank data from internal and • external cyberthreats. • An application developer builds a new mobile app for online customer portfolio • management. Between them, these employees might be using more than a dozen packages for analytics and data management.
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SAS
Published By: MicroStrategy     Published Date: Aug 28, 2019
Over the last decade, the enterprise analytics landscape has dramatically transformed. Vendors have come and gone, and platforms have continually expanded their offerings to include new functionality and keep pace with the demands of the businesses they serve. Originally envisioned as an IT-centric tool for enterprise reporting, analytics today has evolved into a business solution—empowering a range of users across every line of business, including front-line employees, field personnel, and executives. The rise of self-service analytics over the past decade has played a key role in promoting a data-driven mindset within every business function. However, this practice is limited to a skilled few. The vast majority of business professionals lack the time, analytical skills, or inclination to conduct their own analyses, and fail to effectively use analytics on a day-to-day basis. The result? Despite decades of investments, BI adoption at most organizations remains at 30%. The failure of e
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MicroStrategy
Published By: MicroStrategy     Published Date: Aug 28, 2019
Why HyperIntelligence? Today, despite massive investments in data, IT infrastructure, and analytics software, the adoption of analytics continues to lag behind. In fact, according to Gartner, most organizations fail to hit the 30% mark. That means that more than 70% of people at most organizations are going without access to the critical information they need to perform to the best of their abilities. What’s stopping organizations from breaking through the 30% barrier and driving the pervasive adoption of intelligence? Simple. The majority of existing tools only cater to users who are naturally analytically inclined—the analysts, data scientists, and architects of the world. The other 70%—the people making the operational decisions daily within a business—simply lack the time, skill, or desire to seek out data and intelligence on their own. HyperIntelligence helps organizations operationalize their existing investments and arm everyone across the organization with intelligence. Whether
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MicroStrategy
Published By: TIBCO Software     Published Date: Aug 20, 2019
How we fuel our vehicles, heat our homes, and power our industries is undergoing fundamental change. Well-deployed but inefficient technologies, such as internal combustion engine cars and oil/gas boilers are being replaced with electrified and higher-efficiency alternatives. And renewables such as sunlight, wind, thermal, and others, supported by next generation battery storage, are fueling an evergreater share of energy demand.
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renewable energy, oil&gas, connected intelligence, real-time data, analytical insights, information technology
    
TIBCO Software
Published By: SAP     Published Date: Jun 18, 2011
To stay ahead of the competition in a global marketplace, firms are increasingly speeding up operations, in many cases adopting real-time systems and tools to allow for instant decision-making and faster business cycles. Download here to learn how.
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real-time business analytics, faster decision making, business automation, business metrics, analytical data, sap
    
SAP
Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
What if you could reduce the cost of running Oracle databases and improve database performance at the same time? What would it mean to your enterprise and your IT operations? Oracle databases play a critical role in many enterprises. They’re the engines that drive critical online transaction (OLTP) and online analytical (OLAP) processing applications, the lifeblood of the business. These databases also create a unique challenge for IT leaders charged with improving productivity and driving new revenue opportunities while simultaneously reducing costs.
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cost reduction, oracle database, it operation, online transaction, online analytics
    
Hewlett Packard Enterprise
Published By: SAS     Published Date: Jan 17, 2018
This RSR custom research report explores the impact of omnichannel methods on merchandising, marketing and the supply chain; specifically, what analytical capabilities address the challenges that omnichannel selling and fulfillment pose for retailers. Consumers today routinely begin their shopping journeys online, but complete their purchases in nearby stores, in their “home” stores or delivered directly to their doors. Retail analytics enables organizations to capture data from their customers' journeys. Retailers that successfully deliver relevant omnichannel experiences while gaining a more sophisticated understanding of demand (where and how it is initiated) will enhance their brands’ value and create compelling and profitable customer relationships.
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SAS
Published By: Oracle     Published Date: Jan 12, 2017
Businesses today expect finance to play an extended role across departments, including IT, human resources, compliance, operations, sales, marketing, and most importantly, corporate strategy.To successfully deliver on this role, the finance function needs to play a bigger and visible role in real-time decision making and continuous planning. This report explores how, using cloud and analytics, finance leaders can leapfrog a few generations of technology and offer mature analytical feature/functionality and skills to the entire organization.
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Oracle
Published By: Dell and Nutanix     Published Date: Jan 16, 2018
Because many SQL Server implementations are running on virtual machines already, the use of a hyperconverged appliance is a logical choice. The Dell EMC XC Series with Nutanix software delivers high performance and low Opex for both OLTP and analytical database applications. For those moving from SQL Server 2005 to SQL Server 2016, this hyperconverged solution provides particularly significant benefits.
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data, security, add capacity, infrastructure, networking, virtualization, dell
    
Dell and Nutanix
Published By: Dell EMC     Published Date: Nov 04, 2016
While there are significant potential benefits to migrating to a hyper-converged system, true cost and real life experience are critical decision factors. To accurately establish a case for going to one platform or another, you need a strong fact-based analytical methodology and approach. Download this Edison Group white paper to better understand the cost and measureable effort benefits of hyper-converged appliances. Dive into the details for the VCE VxRail Appliance from Dell EMC, including total cost of ownership, total cost of acquisition and relative work efforts to install, initialize and maintain as compared to building your own system.
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storage, software, network, hardware, facilities
    
Dell EMC
Published By: Bloomberg     Published Date: Jun 11, 2012
Bloomberg Government (BGOV) is a unique online service that helps business and government leaders understand the business impact of government actions through a combination of in-depth analysis, best-in-class data, analytical tools, and award winning journalism, enabling better decisions. bgov.com
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bloomberg government insider, bgov, demo, free trial, policy analysis, data breakdowns, editorial expertise, news aggregator
    
Bloomberg
Published By: Dell EMC     Published Date: Feb 23, 2017
While there are significant potential benefits to migrating to a hyper-converged system, true cost and real life experience are critical decision factors. To accurately establish a case for going to one platform or another, you need a strong fact-based analytical methodology and approach. Download this Edison Group white paper to better understand the cost and measureable effort benefits of hyper-converged appliances. Dive into the details for the VCE VxRail Appliance from Dell EMC, including total cost of ownership, total cost of acquisition and relative work efforts to install, initialize and maintain as compared to building your own system.
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Dell EMC
Published By: Adobe     Published Date: Feb 03, 2015
This paper provides information on the business benefits of incorporating mobile within marketing programs and how companies maximize results from this endeavor through use of analytical tools such as business intelligence and multi-channel analytics.
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mobility, business intelligence, multi-channel analytics
    
Adobe
Published By: Infomatica     Published Date: Jul 15, 2015
The International Institute of Analytics presents healthcare results from their proprietary assessment tool, The Analytics Benchmark, including measurement of data-related tactical competencies and culture/leadership competencies necessary for data-driven decision-making to become ubiquitous inside organizations. Download this paper to benchmark where your organization stands in the five stages of maturity and the five elements of alignment needed for success.
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Infomatica
Published By: MedeAnalytics     Published Date: Mar 09, 2012
Providing employer group customers an easy-to-use analytical platform is one of the key ways health plans can demonstrate value and improve retention. Read to find out more about how Employer Reporting can help health plans and their customers.
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healthcare, employer retention, reporting, analytics, collaborative analytics, hospitals
    
MedeAnalytics
Published By: Teradata     Published Date: Jan 30, 2015
This report is about two of those architectures: Apache™ Hadoop® YARN and Teradata® Aster® Seamless Network Analytical Processing (SNAP) Framework™. In the report, each architecture is described; the use of each in a business problem is illustrated; and the results are compared.
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teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges
    
Teradata
Published By: Oracle Commerce Cloud     Published Date: Feb 05, 2016
This best practice is enabled by analytical insights, social collaboration, and real-time access to information on any device, so you can better manage sales performance, motivate sales people and mentor best practices, while ensuring that incentive compensation plans supports your strategy.
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Oracle Commerce Cloud
Published By: Pure Storage     Published Date: Nov 02, 2017
The evolution of genomics in recent decades has seen the volume of sequencing rise dramatically as a result of lower costs. Massive growth in the quantities of data created by sequencing has greatly increased analytical challenges, and placed ever-increasing demands on compute and storage infrastructure. Researchers have leveraged high-performance computing environments and cluster computing to meet demands, but today even the fastest compute environments are constrained by the lagging performance of underlying storage.
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big data, simple, fast, multi dimensional performance, eliminate complexity, lower tco, innovation
    
Pure Storage
Published By: Aberdeen Group     Published Date: Nov 23, 2015
This report examines the pressing need to break down data silos due to the damage they cause to analytical initiatives and user engagement. Read this report to find out more.
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customer acquisition, marketing leads, marketing challenges, marketing messages, contact management, data science, demand generation, email marketing
    
Aberdeen Group
Published By: Dun & Bradstreet     Published Date: Apr 21, 2016
When the right approach is applied, analytics can drive more effective marketing strategies. While marketers understand the role analytics plays within the organization, most are not leveraging analytics to really drive enterprise performance. We surveyed 100+ business leaders to understand the state of analytics maturity across today’s leading organizations, uncovering common challenges teams are facing in their quest to use data and analytics to deliver a competitive advantage. What We Uncovered: - 73% of analytic professionals claim to work for an analytically-driven company - Only 42% of companies have a strategy for using analytics across the enterprise - Just 38% of companies share results of their analytic insights outside their department - 81% of organizations rely on 3rd parties for at least some portion of their analysis Download the report to learn how marketers, like yourself, view themselves in light of using analytics to drive their business.
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hoover's, marketing strategies, analytics, data, internet marketing, sales
    
Dun & Bradstreet
Published By: HERE Technologies     Published Date: May 22, 2019
Operational readiness depends on rich location data. When managing logistics and tracking high-value assets, there is no room for error and our new data-driven world demands richer, smarter advanced mapping and navigation services. The 2018 Counterpoint Research Location Ecosystems Update compared 16 location platform vendors—including Google, TomTom and Mapbox—and it named HERE the “undisputed leader” in location based services. Counterpoint recognized HERE for its integrated analytical capability and commitment to open partnerships, allowing for custom operational requirements and a truly mobile location intelligence platform. See how HERE provides the industry leading tools and expertise to process that data—streamlining the logistics supply chain, boosting responsiveness, and guaranteeing mission success.
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mapping, defence, location data.
    
HERE Technologies
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