data analysis

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Published By: HP Data Center     Published Date: Feb 18, 2009
Data centers are large, important investments that, when properly designed, built, and operated, are an integral part of the business strategy driving the success of any enterprise. Yet the central focus of organizations is often the acquisition and deployment of the IT architecture equipment and systems with little thought given to the structure and space in which it is to be housed, serviced, and maintained. This invariably leads to facility infrastructure problems such as thermal “hot spots”, lack of UPS (uninterruptible power supply) rack power, lack of redundancy, system overloading and other issues that threaten or prevent the realization of the return on the investment in the IT systems.
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hp data center, data center, business strategy, it architecture, ups, uninterruptible power supply, rack power, lack of redundancy, system overloading, return on investment, roi, virtualization, going green, return on investment, scopes of work, sow, itsm assessments, energy assessments, it security and risk assessments, performance analysis for hp-unix
    
HP Data Center
Published By: HP Data Center     Published Date: Mar 25, 2009
Data centers are large, important investments that when properly designed, built and operated, are an integral part of the business strategy driving the success of any enterprise, yet the central focus of organizations is often the acquisition and deployment of the IT architecture equipment and systems, with little thought given to the structure and space in which it is to be housed, serviced and maintained. This invariably leads to facility infrastructure problems, such as thermal hot spots, lack of UPS, rack power, lack of redundancy, system overloading and other issues that threaten or prevent the realization of the return on the investment in the IT systems.
Tags : 
hp data center, data center, business strategy, it architecture, ups, uninterruptible power supply, rack power, lack of redundancy, system overloading, return on investment, roi, virtualization, going green, return on investment, scopes of work, sow, itsm assessments, energy assessments, it security and risk assessments, performance analysis for hp-unix
    
HP Data Center
Published By: HP Data Center     Published Date: Mar 25, 2009
Data centers are large, important investments that, when properly designed, built, and operated, are an integral part of the business strategy driving the success of any enterprise. Yet the central focus of organizations is often the acquisition and deployment of the IT architecture equipment and systems with little thought given to the structure and space in which it is to be housed, serviced, and maintained.
Tags : 
hp data center, data center, optimization, business strategy, hot spots, mission critical loads”, the it infrastructure, the availability, it architecture, rack power, lack of redundancy, system overloading, return on investment, roi, virtualization, going green, return on investment, scopes of work, sow, itsm assessments
    
HP Data Center
Published By: EMC Corporation     Published Date: Aug 05, 2014
It’s an exciting yet daunting time to be a security professional. Security threats are becoming more aggressive and voracious. Governments and industry bodies are getting more prescriptive around compliance. Combined with exponentially more complex IT environments, security management is increasingly challenging. Moreover, new “Big Data” technologies purport bringing advanced analytic techniques like predictive analysis and advanced statistical techniques close to the security professional.
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big data, data management, security threats, advanced analytics, security management, predictive analytics, compliance, security, it management
    
EMC Corporation
Published By: EMC Corporation     Published Date: Aug 05, 2014
Large organizations can no longer rely on preventive security systems, point security tools, manual processes, and hardened configurations to protect them from targeted attacks and advanced malware. Henceforth, security management must be based upon continuous monitoring and data analysis for up-to-the-minute situational awareness and rapid data-driven security decisions. This means that large organizations have entered the era of data security analytics. Download here to learn more!
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big data, data management, security threats, advanced analytics, security management, predictive analytics, compliance, security
    
EMC Corporation
Published By: Citrix Systems     Published Date: Feb 10, 2016
Empirical data from individual Product Analysis Reports (PARs) and Comparative Analysis Reports (CARs) is used to create the unique Security Value Map™ (SVM). The SVM illustrates the relative value of security investment options by mapping security effectiveness and value (TCO per protected - connections per second (CPS)) of tested product configurations. The SVM provides an aggregated view of the detailed findings from NSS Labs’ group tests. Individual PARs are available for every product tested. CARs provide detailed comparisons across all tested products in the areas of: ? Security ? Performance ? Total cost of ownership (TCO)
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Citrix Systems
Published By: Citrix Systems     Published Date: Feb 10, 2016
Empirical data from our individual Product Analysis Reports (PARs) and Comparative Analysis Reports (CARs) is used to create the unique Security Value MapTM (SVM). The SVM provides a quick, clear overview of the relative value of security investment options by mapping security effectiveness and value (TCO per protected-CPS) of tested product configurations.
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Citrix Systems
Published By: Aquire     Published Date: Feb 10, 2012
Learn how savvy business leaders and HR professionals are making data-driven decisions by leveraging the power of workforce analytics. This white paper walks you through common obstacles executives face when it comes to strategic workforce analysis.
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Aquire
Published By: Netezza IBM US     Published Date: May 09, 2012
With the amount of complex biological data increasing exponentially, the need intensifies for more insightful analysis on developmental drugs, their effects on humans and inter-drug relationships.
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pharmaceutical, drug, ibm, analytics
    
Netezza IBM US
Published By: Bluekai     Published Date: Aug 10, 2012
How can you analyze ALL of your disparate first and third-party audience, campaign and performance data in one central place? How can a DMP power a 360 approach to audience data management and analysis to get more bang out of your marketing dollar?
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dmp, data management platform, crm, analytics, audience targeting, predictive audience analytics, real-time campaign analytics, campaign performance, data management, data center
    
Bluekai
Published By: Concur     Published Date: Apr 17, 2013
In this survey report analysts examine electronic invoicing, imaging and data extraction, and automated workflow solutions at US-based enterprises. The analysis is based on over 300 survey results and more than nine years of research findings.
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ap automation, accounts payable, invoice management, invoice automation, invoicing, ap report, ap study
    
Concur
Published By: McAfee     Published Date: Feb 06, 2013
Read how managing risk today means making sense of more data: vulnerability scans, application and database logs, flows, access and session records, alerts, and trending analysis.
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security connected framework, big security data, big data, log management, siem
    
McAfee
Published By: McAfee     Published Date: Jul 24, 2013
SANS Institute's analysis team took a peek into McAfee's latest ESM software with a particular bent towards SIEM applications, and found an "easy-to-use SIEM system that can perform broad and deep event analysis as well as provide a quick assessment."
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siem, data storage, event analysis, attacks, forensic analysis, security, data management, business technology
    
McAfee
Published By: McAfee     Published Date: Apr 16, 2014
Read how managing risk today means making sense of more data: vulnerability scans, application and database logs, flows, access and session records, alerts, and trending analysis.
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security connected framework, big security data, big data, log management, siem, security
    
McAfee
Published By: McAfee     Published Date: Apr 16, 2014
SANS Institute's analysis team took a peek into McAfee's latest ESM software with a particular bent towards SIEM applications, and found an "easy-to-use SIEM system that can perform broad and deep event analysis as well as provide a quick assessment."
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siem, data storage, event analysis, attacks, forensic analysis, security
    
McAfee
Published By: McAfee     Published Date: Oct 28, 2014
Compliance and financial risk used to be the driving concerns for security and risk management. Read how managing risk today means making sense of more data: vulnerability scans, application and database logs, flows, access and session records, alerts, and trending analysis.
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security connected framework, big security data, big data, log management, siem, security
    
McAfee
Published By: Prophix     Published Date: Apr 24, 2013
Another quarter-end. You know what that means—masses of data to analyze, complex reports to generate, and a looming deadline. This white paper offers valuable tips and tricks to accelerate your company’s reporting and analysis.
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data, analytics, efficiency, accounting, finance, data
    
Prophix
Published By: Prophix     Published Date: Apr 24, 2013
Learn how leading companies employ Corporate Performance Management (CPM) software to automate financial processes (budgeting, forecasting, reporting, and planning) that spreadsheets complete on a manual basis and reap the rewards of advanced data analysis.
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performance management, finance, business intelligence, cpm, enterprise, data, analytics
    
Prophix
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: HP     Published Date: Jan 20, 2015
There are many new ways Big Data analytics can significantly boost marketing and promotional efforts through real-time and historical analysis of online data, such as clickstream or purchase transactions. Unstructured data based on social media—even photos and video—offers enormous potential when analyzed with the right tools.
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big data, hp haven, scalable, secure data platform, ecosystem, security
    
HP
Published By: Gigaom     Published Date: Sep 16, 2019
We’ve heard it before. A data warehouse is a place for formally-structured, highly-curated data, accommodating recurring business analyses, whereas data lakes are places for “raw” data, serving analytic workloads, experimental in nature. Since both conventional and experimental analysis is important in this data-driven era, we’re left with separate repositories, siloed data, and bifurcated skill sets. Or are we? In fact, less structured data can go into your warehouse, and since today’s data warehouses can leverage the same distributed file systems and cloud storage layers that host data lakes, the warehouse/lake distinction’s very premise is rapidly diminishing. In reality, business drivers and business outcomes demand that we abandon the false dichotomy and unify our data, our governance, our analysis, and our technology teams. Want to get this right? Then join us for a free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust and special guest, Dav
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Gigaom
Published By: Movable Ink     Published Date: Apr 01, 2016
Modern marketers have access to endless amounts of data and limited time to process and analyse it. Transforming it into something that offers real value is essential and the basis for marketing success. Download ‘8 Smart Data Tips for Modern Marketers’ to get actionable tips and tricks that will help you avoid analysis paralysis, enhance customer experiences and identify new customers.
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email marketing, big data marketing, marketing automation, email personalisation
    
Movable Ink
Published By: AWS     Published Date: Jun 20, 2018
Data and analytics have become an indispensable part of gaining and keeping a competitive edge. But many legacy data warehouses introduce a new challenge for organizations trying to manage large data sets: only a fraction of their data is ever made available for analysis. We call this the “dark data” problem: companies know there is value in the data they collected, but their existing data warehouse is too complex, too slow, and just too expensive to use. A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated q
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AWS
Published By: Datastax     Published Date: Apr 04, 2017
As the big data ecosystem continues to expand, new technologies are addressing the requirements for managing, processing, analyzing, and storing data to help companies benefit from the rich sources of information flowing into their organizations. From NoSQL databases to open source projects to commercial products offered on-premises and in the cloud, the future of big data is being driven by innovative new approaches across the data management lifecycle. The most pressing areas include real-time data processing, interactive analysis, data integration, data governance, and security. Download this report for a better understanding of the current landscape, emerging best practices and real-world successes.
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evolution, big data, technology, datastax, nosql
    
Datastax
Published By: Cloudian     Published Date: Feb 15, 2018
We are living in an age of explosive data growth. IDC projects that the digital universe is growing 50% a year, doubling in size every 2 years. In media and entertainment, the growth is even faster as capacity-intensive formats such as 4K, 8K, and 360/VR gain traction. Fortunately, new trends in data storage are making it easier to stay ahead of the curve. In this paper, we will examine how object storage stacks up against LTO tape for media archives and backup. In addition to a detailed total cost of ownership (TCO) analysis covering both capital and operational expenses, this paper will look at the opportunity costs of not leveraging the real-time data access of object storage to monetize existing data. Finally, we will demonstrate the validity of the analysis with a real-world case study of a longstanding network TV show that made the switch from tape to object storage. The limitations of tape storage go way beyond its lack of scalability. Data that isn’t searchable is becoming
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Cloudian
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