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Results 1 - 25 of 151Sort Results By: Published Date | Title | Company Name
Published By: TIBCO Software     Published Date: Feb 14, 2019
With the new TIBCO Spotfire® A(X) Experience, we are revolutionizing analytics and business intelligence. This new platform accelerates the personal and enterprise analytics experience so you can get from data to insights in the fastest possible way. With the fusion of technology enablers like machine learning, artificial intelligence, and natural language search, the Spotfire® X platform redefines what’s possible for analytics and business intelligence, simplifying for everyone how data and insights are generated, consumed, and acted on. Download this whitepaper to learn more, then check out the new Spotfire analytics. It’s unlike anything you have ever seen. Simple, yet powerful, it changes everything.
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TIBCO Software
Published By: Artemis Health     Published Date: Aug 08, 2019
Artemis Health teamed up with Employee Benefit News to research the current “benefits landscape.” We surveyed self-insured employers to find useful trends, interesting stats, and info on what leaders like you are doing to improve their benefits strategy. In this whitepaper, you'll discover: • Regional differences in benefits offerings and priorities • What benefit leaders believe they can accomplish with benefits data analytics • The features and functionality your peers are looking for when they evaluate a data solution
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Artemis Health
Published By: ttec     Published Date: Jul 24, 2019
Let’s face it: in today’s B2B landscape, the buyers call the shots. Buyers today are proactive, research their own options, and often include many decision makers rather than just one who can be wooed on a golf course or over dinner. So, where does that leave the salesperson? To succeed in this new landscape, sales professionals must understand how the buyer’s journey has changed and unlock the advantages that data analytics and statistical modeling can offer. Sales and marketing teams must also learn how to align their efforts to present a truly coordinated experience. Read this paper to learn how to take advantage of untapped opportunities for helping sales teams evolve in today’s buyer-empowered landscape.
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ttec
Published By: Gigaom     Published Date: Oct 02, 2019
While interest in Machine Learning/Artificial Intelligence/ (ML/AI) has never been higher, the number of companies deploying it is only a subset, and successful implementations a smaller proportion still. The problem isn’t the technology; that part is working great. But the mere presence and provision of tools, algorithms, and frameworks aren’t enough. What’s missing is the attitude, appreciation, and approach necessary to drive adoption and working solutions. To learn more, join us for this free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust and panelists Jen Stirrup, Lillian Pierson, and special guest from Cloudera Fast Forward Labs, Alice Albrecht. Our panel members are seasoned veterans in the database and analytics consulting world, each with a track record of successful implementations. They’ll explain how to go beyond the fascination phase of new technology towards the battened down methodologies necessary to build bulletproof solutions th
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Gigaom
Published By: Hewlett Packard Enterprise     Published Date: Jul 19, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: Top 5 causes of downtime and poor performance across the infrastructure stack How machine learning and predictive analytics can prevent issues Steps you can take to boost performance and availability"
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cloud, nimble storage, infrastructure
    
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: Pentaho     Published Date: Feb 26, 2015
Ventana’s benchmark research on big data integration will help you become familiar with the tools and technologies you need to help your organization succeed with big data.
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benchmark research, big data integration, big data, business intelligence systems, business analytics, data integration
    
Pentaho
Published By: AWS     Published Date: Dec 15, 2017
Healthcare and Life Sciences organizations are using data to generate knowledge that helps them provide better patient care, enhances biopharma research and development, and streamlines operations across the product innovation and care delivery continuum. Next-Gen business intelligence (BI) solutions can help organizations reduce time-to-insight by aggregating and analyzing structured and unstructured data sets in real or near-real time. AWS and AWS Partner Network (APN) Partners offer technology solutions to help you gain data-driven insights to improve care, fuel innovation, and enhance business performance. In this webinar, you’ll hear from APN Partners Deloitte and hc1.com about their solutions, built on AWS, that enable Next-Gen BI in Healthcare and Life Sciences. Join this webinar to learn: How Healthcare and Life Sciences organizations are using cloud-based analytics to fuel innovation in patient care and biopharmaceutical product development. How AWS supports BI solutions f
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AWS
Published By: Hewlett Packard Enterprise     Published Date: Aug 23, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: -Top 5 causes of downtime and poor performance across the infrastructure stack -How machine learning and predictive analytics can prevent issues -Steps you can take to boost performance and availability
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Hewlett Packard Enterprise
Published By: Adobe     Published Date: Nov 09, 2017
Marketing leaders are asking their analytics teams to provide better insights into customers, prospects and journeys, and a more accurate assessment of the impact of marketing tactics. Use this research to find a digital marketing analytics tool to support your needs. This Magic Quadrant is intended for chief marketing of?cers (CMOs), marketing analytics and data science practitioners, and other digital marketing leaders involved in the selection of systems to support marketing analytics requirements.
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Adobe
Published By: Adobe     Published Date: Mar 26, 2018
Marketing leaders are asking their analytics teams to provide better insights into customers, prospects and journeys, and a more accurate assessment of the impact of marketing tactics. Use this research to find a digital marketing analytics tool to support your needs.
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Adobe
Published By: Adobe     Published Date: Mar 26, 2018
Marketing leaders rely on analytics teams to deliver better measurement, insights and optimization. Use this research to evaluate your organization's current analytics tools and identify new solutions aligned to your goals.
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Adobe
Published By: IBM Watson Health     Published Date: Mar 30, 2018
Chilmark Research, a global research and advisory firm, recently released a report rating vendors and solutions in the healthcare analytics industry. IBM Watson Health, a leader in healthcare analytics, has put together this infographic comparing how its solutions stack up against some of the closest competitors in the industry in areas such as population discovery and definition, predictive analytics, cost and utilization, and claims data contribution.
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analytics, infographic, predictive analytics, cost utilization, population discovery, claims data, healthcare, chilmark
    
IBM Watson Health
Published By: Gigamon     Published Date: Oct 19, 2017
Register for the Enterprise Strategy Group’s Research Insights Paper, Understanding the State of Network Security Today to learn more about the challenges, changes, best practices and solution requirements for network security operations and tools. See why ESG recommends improving network visibility and reducing security vulnerabilities by consolidating tools through a platform-based approach to visibility in which data, analytics and reports from multiple tools are aggregated and consumed in one control panel. Download to learn more.
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Gigamon
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: Dell EMC Storage     Published Date: Nov 28, 2018
Powerful data protection in a converged appliance that is easy to deploy and manage — at the lowest cost-to-protect. The integrated appliance brings together protection storage and software, search, and analytics — plus simplified system management and cloud readiness. And, the IDPA System Manager, with its clean, intuitive interface, provides a comprehensive view of data protection infrastructure from a single dashboard.
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Dell EMC Storage
Published By: Acxiom Corporation     Published Date: Mar 12, 2014
In July 2013 Acxiom commissioned Forrester Consulting to evaluate how companies use the data they collect from their customers to make better decisions on their marketing campaigns by gauging their experiences and attitudes around their use of and future vision for using customer data across multiple marketing channels. In order to understand this topic, we conducted interviews with 11 executives representing a range of roles and perspectives, including consumer packaged goods companies, financial services organizations, and agencies.
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acxiom, forrester, data, marketing, marketing campaigns, cross channel, customer data, market research
    
Acxiom Corporation
Published By: SAS     Published Date: Oct 22, 2015
The Internet of Things (IoT) presents an opportunity to collect real-time information about every physical operation of a business. From the temperature of equipment to the performance of a fleet of wind turbines, IoT sensors can deliver this information in real time. There is tremendous opportunity for those businesses that can convert raw IoT data into business insights, and the key to doing so lies within effective data analytics. To research the current state of IoT analytics, Blue Hill Research conducted deep qualitative interviews with three organizations that invested significant time and resources into their own IoT analytics initiatives. By distilling key themes and lessons learned from peer organizations, Blue Hill Research offers our analysis so that business decision makers can ultimately make informed investment decisions about the future of their IoT analytics projects.
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SAS
Published By: Oracle EMEA     Published Date: Apr 15, 2019
Forward-thinking enterprises understand what it takes to be successful in this data-rich, increasingly automated economy. According to the Harvard Business Review Analytic Services research report The Rise of Intelligent Automation: TurningComplexity into Profit, sponsored by Oracle, at least 7 in 10 executives understand that predictive analytics (80%) and AI and machine learning (68%) are important for the future of the business. Even as executives recognize the vital role data plays in their businesses, many are unable to take advantage of the value residing in their data. The old ways of collecting, managing, storing, and analyzing data are no longer effective, and are preventing businesses from extracting potential value. Many simply can’t execute on a data-driven vision.
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Oracle EMEA
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
    
Rohde & Schwarz Cybersecurity
Published By: Adobe     Published Date: Mar 21, 2017
Digital marketing technologies have transformed both anonymous and authenticated interactions. Online ads, websites, and search reach more anonymous consumers for less, with much better segmentation and measurement. They’ve also added entirely new capabilities like behavioral monitoring and predictive analytics.
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Adobe
Published By: Intel     Published Date: Jun 07, 2017
Intel's Bob Rogers, chief data scientist for big data solutions, sat down with Dan Magestro, research director at the international Institute of Analytics (IIA), to discuss the power of asking questions when assessing an organisation's analytics maturity. Read on to find out more.
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intel, analytics, data, data analytics, data science
    
Intel
Published By: Reevoo     Published Date: Mar 29, 2012
Download our free SEO ebook for best practice advice to ensure your reviews drive traffic to your site.
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marketing, social content, online marketing, seo, search engine optimization, web analytics, online business
    
Reevoo
Published By: Akamai Technologies     Published Date: Sep 27, 2016
Akamai’s Threat Research team analyzed a week of cross-site scripting (xss) alert triggers to gain clarity on the nature of xss attacks. Read this case study to learn which vectors are vulnerable and specific techniques that were employed during remote resource injection exploitation attempts versus simple probing requests.
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akamai, xss, xxs exploration, threat research, analytics, security, cybersecurity, networking
    
Akamai Technologies
Published By: Microsoft     Published Date: Oct 06, 2016
Download the Keystone Research whitepaper to see how top performing enterprises use their IT investments to store, process, and use data to make more effective, real-time decisions. Keystone Research, a global economics and data-driven strategy consulting firm, interviewed senior IT and business decision makers at over three hundred businesses to uncover the relationship between Data & Analytics technologies and business performance. This research shows that companies who have developed the most sophisticated Data & Analytics platforms and apply these capabilities as a regular part of their business enjoy operating margins that are eight percentage points higher than lagging organizations. This translates to $100 million in operating profits on average for the more advanced companies in the sample controlling for factors such as company size and industry vertical.
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microsoft, analytics, data, business impact
    
Microsoft
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