data analysis

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Published By: Oracle (Hospitality)     Published Date: Mar 28, 2017
The complexities of distribution make it a most daunting challenge. Indeed, for hoteliers, mastering it might be akin to finding the industry’s Holy Grail. Consider the task’s many facets: Maximizing exposure to attract new customers and establish presence in markets, both near and far, requires contracts and integration with an everchanging cast of OTAs and metasearch companies. Evaluating voluminous amounts of data for rate management practically defines “paralysis by analysis.” And demonstrating online capabilities that can adapt to the ever-changing demands of today’s consumers – who expect everything to be faster, better and cheaper than yesterday.
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cloud, distribution, hoteliers, oracle
    
Oracle (Hospitality)
Published By: IBM     Published Date: Apr 14, 2017
Any organization wishing to process big data from newly identified data sources, needs to first determine the characteristics of the data and then define the requirements that need to be met to be able to ingest, profile, clean,transform and integrate this data to ready it for analysis. Having done that, it may well be the case that existing tools may not cater for the data variety, data volume and data velocity that these new data sources bring. If this occurs then clearly new technology will need to be considered to meet the needs of the business going forward.
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data integration, big data, data sources, business needs, technological advancements, scaling data
    
IBM
Published By: Viavi Solutions     Published Date: Apr 14, 2017
VoIP’s extreme sensitivity to delay and packet loss compared to other network applications such as web and e-mail services, presents a real challenge. A basic understanding of VoIP traffic and of the quality metrics provided by VoIP monitoring tools will help keep your network running smoothly. Follow our 10 VoIP best practices to ensure quality service for your network. This white paper guides you through the essentials of VoIP troubleshooting, including common problems and the metrics you should employ to fix and prevent them. You’ll learn how these metrics relate to one another and to overall VoIP health. You’ll also learn the best practices for keeping your VoIP network flowing smoothly, your time-to-resolution low, and end users happy.
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sensitive information, data protection, network security, asset protection, network performance, network analysis, troubleshooting solutions
    
Viavi Solutions
Published By: Ounce Labs, an IBM Company     Published Date: Dec 15, 2009
Today, when you make decisions about information technology (IT) security priorities, you must often strike a careful balance between business risk, impact, and likelihood of incidents, and the costs of prevention or cleanup. Historically, the most well-understood variable in this equation was the methods that hackers used to disrupt or invade the system.
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ounce labs, it securitym it risk, software applications, pci dss, hipaa, glba, data security, source code vulnerabilities
    
Ounce Labs, an IBM Company
Published By: Ounce Labs, an IBM Company     Published Date: Jul 08, 2009
The Business Case for Data Protection, conducted by Ponemon Institute and sponsored by Ounce Labs, is the first study to determine what senior executives think about the value proposition of corporate data protection efforts within their organizations. In times of shrinking budgets, it is important for those individuals charged with managing a data protection program to understand how key decision makers in organizations perceive the importance of safeguarding sensitive and confidential information.
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ounce labs, it securitym it risk, software applications, ciso, pci dss, hipaa, glba, data security
    
Ounce Labs, an IBM Company
Published By: McAfee     Published Date: Mar 31, 2017
Behind the vast majority of legitimate alerts sent to the IT security team is an attacker who exploits multiple attack techniques to infiltrate your infrastructure and compromise your critical data and systems. Targeted multi-phased attacks include a series of cyber attack chain steps: recognition, vulnerability analysis, operation and, finally, exfiltration of critical business data.
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cyber threats, threat intelligence, cyber attack, cyber attack prevention
    
McAfee
Published By: McAfee     Published Date: Mar 31, 2017
Behind the vast majority of legitimate alerts sent to the IT security team is an attacker who exploits multiple attack techniques to infiltrate your infrastructure and compromise your critical data and systems. Targeted multi-phased attacks include a series of cyber attack chain steps: recognition, vulnerability analysis, operation and, finally, exfiltration of critical business data.
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cyber threats, threat intelligence, cyber attack, cyber attack prevention
    
McAfee
Published By: SAS     Published Date: Apr 20, 2017
With more data in the hands of more people – and easier access to easy-to-use analytics – conversations about data and results from data analysis are happening more often. And becoming more important. And expected. So it’s not surprising that improved collaboration is one of the most common organizational goals. Let’s take a look at how you can use results produced by SAS Visual Analytics with Microsoft Office applications. You’ll see how easy it is to combine sophisticated analytic visualizations and reports with Microsoft’s widely used productivity tools – to share insights, improve collaboration and drive increased adoption of analytics and BI across your organization.
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SAS
Published By: SAS     Published Date: Apr 25, 2017
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis. The heart and soul of SAS Visual Analytics is the SAS® LASR™ Analytic Server, which ca
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SAS
Published By: SAS     Published Date: Apr 25, 2017
Today, data is constantly flowing in and out of organizations from electrical and mechanical sensors, RFID tags, smart meters, scanners, mobile devices, vehicles, live social media, machines and other objects. Did you know that a modern plane with more than 10,000 sensors just in the wings is expected to generate more than 7 terabytes a day? And Bain predicts that by 2020 annual revenues could exceed $470 billion for the internet of things (IoT) vendors selling hardware, software and comprehensive solutions. Analysts believe that all of this data will drive a new type of industrial revolution – one that’s driven by highly accurate, real-time analysis, alerts and actions. Increasingly, machines will automate decisions and simply notify humans with instructions. Consider the promise of the IoT, where any object can be connected to the internet and continuously send and receive data. Gartner says that by 2020, 21 billion IoT devices will be in use worldwide.
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SAS
Published By: SAP     Published Date: Feb 03, 2017
The SAP HANA platform provides a powerful unified foundation for storing, processing, and analyzing structured and unstructured data. It funs on a single, in-memory database, eliminating data redundancy and speeding up the time for information research and analysis.
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SAP
Published By: HP Enterprise Business     Published Date: Mar 02, 2017
Powered by data from 451 Research, the Right Mix web application benchmarks your current private vs public cloud mix, business drivers, and workload deployment venues against industry peers to create a comparative analysis. See how your mix stacks up, then download the 451 Research report for robust insights into the state of the hybrid IT market.
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HP Enterprise Business
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, networking, it management
    
Pentaho
Published By: Cisco     Published Date: Jun 21, 2016
The demands on IT today are staggering. Most organizations depend on their data to drive everything from product development and sales to communications, operations, and innovation. As a result, IT departments are charged with finding a way to bring new applications online quickly, accommodate massive data growth and complex data analysis, and make data available 24 hours a day, around the world, on any device. The traditional way to deliver data services is with separate infrastructure silos for various applications, processes, and locations, resulting in continually escalating costs for infrastructure and management. These infrastructure silos make it difficult to respond quickly to business opportunities and threats, cause productivity-hindering delays when you need to scale, and drive up operational costs.
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Cisco
Published By: Delphix     Published Date: May 03, 2016
Data security is a top concern these days. In a world of privacy regulation, intellectual property theft, and cybercrime, ensuring data security and protecting sensitive enterprise data is crucial. Only a data masking solution can secure vital data and enable outsourcing, third-party analysis, and cloud deployments. But more often than not, masking projects fail. Some of the best data masking tools bottleneck processes and once masked, data is hard to move and manage across the application development lifecycle.
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Delphix
Published By: Dell EMC     Published Date: Nov 09, 2015
Download this whitepaper and learn how the Dell Genomic Data Analysis Platform can accelerate discovery and insights through optimized infrastructure and support.
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Dell EMC
Published By: Dell EMC     Published Date: Oct 08, 2015
Download this whitepaper for: • An overview of how manufacturing can benefit from the big data technology stack • A high-level view of common big data pain points for manufacturers • A detailed analysis of big data technology for manufacturers • A view as to how manufacturers are going about big data adoption • A proven case study with: Omneo
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Dell EMC
Published By: Dell     Published Date: Jan 26, 2015
Forrester presents the relevant endpoint security data from their most recent surveys, with special attention given to those trends affecting SMBs (firms with 20 to 999 employees) and enterprises (firms with 1,000+ employees), along with analysis that explains the data in the context of the overall security landscape. As organizations prepare for the 2015 budget cycle, security and risk (S&R) professionals should use this annual report to help benchmark their organization’s spending patterns against those of their peers — while keeping an eye on current trends affecting endpoint security — in order to strategize their endpoint security adoption decisions. Please download this Forrester Research report, offered compliments of Dell, for more information.
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dell, windows, endpoint security adoption, forrester, smbs, budget cycle, security
    
Dell
Published By: Collaborative Consulting     Published Date: Dec 20, 2013
The explosion of Big Data represents an opportunity to leverage trending attitudes in the marketplace to better segment and target customers, and enhance products and promotions. Success requires establishing a common business rationale for harnessing social media and determining a maturity model for sentiment analysis to assess existing social media capabilities.
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collaborative consulting, big data, social media, customer sentiment, influence sentiment, govern sentiment, maturity model, generate revenue
    
Collaborative Consulting
Published By: SAS     Published Date: Jul 14, 2015
With sophisticated analytics, government leaders can pinpoint the underlying value in all their data. They can bring it together in a unified fashion and see connections across agencies to better serve citizens.
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anayltics, data analysis, management, knowledge pooling, data infrastructure
    
SAS
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: SAS     Published Date: Nov 04, 2015
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis.
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data visualization, sas, big data, visual analytics, data exploration, analysis, networking, knowledge management
    
SAS
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: Adobe     Published Date: Nov 07, 2013
Aberdeen's Insights provide the analyst's perspective on the research as drawn from an aggregated view of research surveys, interviews, and data analysis.
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adobe, aberdeen group, analyst insight, technology tools, buying behavior, customer experience management, cem, buyer interactions
    
Adobe
Published By: Blue Coat Systems     Published Date: Jul 18, 2013
Data breaches have become a fact of life for organizations of all sizes, in every industry and in many parts of the globe. While many organizations anticipate that at some point a non-malicious or malicious data breach will occur, the focus of this study is to understand the steps organizations are taking—or not taking--to deal with the aftermath of a breach or what we call the Post Breach Boom. Sponsored by Solera Networks, The Post Breach Boom study was conducted by Ponemon Institute to understand the differences between non-malicious and malicious data breaches and what lessons are to be learned from the investigation and forensic activities organizations conduct following the loss or theft of sensitive and confidential information. The majority of respondents in this study believe it is critical that a thorough post-breach analysis and forensic investigation be conducted following either a non-malicious or malicious security breach.
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data, non-malicious, malicious, ponemon, solera network
    
Blue Coat Systems
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