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quality metrics

Results 1 - 25 of 34Sort Results By: Published Date | Title | Company Name
Published By: Akamai Technologies     Published Date: May 08, 2017
Video quality can be measured in multiple ways, but the primary metrics – playback reliability and image quality – are the most critical. Get these right, and content providers are on their way to winning the loyalty of online audiences and driving monetization. Get them wrong, and viewers will defect in a heartbeat. For live-streaming events, such as sports, where there’s can’t-miss fast action, the ante is raised even higher. In this white paper, we’ll explore why online video quality matters and the specifics of how it should be measured. Get a peek “under the hood” to understand the core elements of video delivery that contribute to high-quality viewing experiences. Most importantly, see why the choice of a content delivery partner is essential to your online video success.
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video quality, playback, video reliability, high quality viewing, online video success
    
Akamai Technologies
Published By: SolidFire_NetApp     Published Date: May 10, 2016
Quality of service (QoS) is a critical enabling technology for enterprises and service providers wanting to deliver consistent primary storage performance to business-critical applications in a multi-tenant or enterprise infrastructure. The type of applications that require primary storage services typically demand greater levels of performance than what is readily available from traditional storage infrastructures today. However, simply providing raw performance is often not the only objective in these use cases. For a broad range of business-critical applications, consistent and predictable performance are the more important metrics. Unfortunately, neither is easily achievable within traditional storage arrays.
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storage management, performance management, best practices, application integration, technology, business intelligence, network management, network performance
    
SolidFire_NetApp
Published By: Butler Technologies     Published Date: Jul 02, 2018
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.
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Butler Technologies
Published By: CA Technologies     Published Date: Jun 09, 2015
To support digital transformation imperatives, organizations are increasingly exploring DevOps style approaches for the continuous delivery of high quality software. Unfortunately, however, many enterprises remain burdened with accumulated technical debt and legacy wasteful practices – waste that can quickly inhibit the flow of value to customers and the business. Lean thinking provides organizations with a framework by which to quickly identify all forms of waste impacting the flow of value, which DevOps practitioners can apply in a software development context to quickly pinpoint and eliminate 8 elements of waste across people, process and technology dimensions. This paper presents the 8 elements of waste framework, strategies needed to identify and eliminate waste, and the metrics needed to measure effectiveness.
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CA Technologies
Published By: CA Technologies     Published Date: Jun 04, 2015
To support digital transformation imperatives, organizations are increasingly exploring DevOps style approaches for the continuous delivery of high quality software. Unfortunately, however, many enterprises remain burdened with accumulated technical debt and legacy wasteful practices – waste that can quickly inhibit the flow of value to customers and the business. Lean thinking provides organizations with a framework by which to quickly identify all forms of waste impacting the flow of value, which DevOps practitioners can apply in a software development context to quickly pinpoint and eliminate 8 elements of waste across people, process and technology dimensions. This paper presents the 8 elements of waste framework, strategies needed to identify and eliminate waste, and the metrics needed to measure effectiveness.
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CA Technologies
Published By: Dynatrace     Published Date: May 20, 2016
Goodbye War Room, Hello DevOps 2.0: 6 ways to increase quality and speed in application deployment In this eBook, we'll focus on what you need to do to continue to transform: - Ask the right questions and get the right answers to act efficiently when there is a problem - Level-up development, test, and operations capabilities to build in quality right from the start - Identify the priorities for your business so you can give teams laser-like focus on what matters most - Define a common set of metrics based upon shared goals to do what good agile teams do well — collaborate
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dynatrace, devops, software development, speed, application development, it management, enterprise applications
    
Dynatrace
Published By: IBM     Published Date: Feb 02, 2016
Read this whitepaper published by Heavy Reading and sponsored by IBM to look at why network service quality matters to customer loyalty and CSP attitudes to improve it and discover how CSPs can correlate customer loyalty indicators like Net Promoter Scores with network and service quality metrics to help drive better business and operational performance
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ibm, telecom, analytics, customer management, customer loyalty, network service
    
IBM
Published By: Puppet     Published Date: Jun 24, 2016
The fifth annual State of DevOps Report, presented by Puppet and DevOps Research & Assessment (DORA), confirms and highlights the fact that achieving higher IT and organizational performance is a team effort spanning development and operations — and it’s an investment that can deliver powerful returns. This year’s report shows how DevOps speeds up delivery, improves quality and security, enhances employee engagement and more. Download the report to learn why: • High-performing IT organization experience 200x more frequent deployments and 24x recovery from failures. • High performers spend 22 percent less time on unplanned work and 29 percent more time on new work, such as features or code. • Taking an experimental approach to product development improves IT performance. The report also helps you understand the ROI of DevOps, and includes formulas to quantify your potential cost savings, using metrics from you own organization.
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Puppet
Published By: Tricentis     Published Date: Aug 19, 2019
The way that we develop and deliver software has changed dramatically in the past 5 years—but the metrics we use to measure quality remain largely the same. Despite seismic shifts in business expectations, development methodologies, system architectures, and team structures, most organizations still rely on quality metrics that were designed for a much different era. Every other aspect of application delivery has been scrutinized and optimized as we transform our processes for DevOps. Why not put quality metrics under the microscope as well? Are metrics like number of automated tests, test case coverage, and pass/fail rate important in the context of DevOps, where the goal is immediate insight into whether a given release candidate has an acceptable level of risk? What other metrics can help us ensure that the steady stream of updates don’t undermine the very user experience that we’re working so hard to enhance? To provide the DevOps community an objective perspective on what quality
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Tricentis
Published By: Tricentis     Published Date: Mar 13, 2018
Hitting your go-to-market timelines depends on quality testing completion and approval. Whether your organization still employs a waterfall model or has adopted the DevOps or agile methodology, testing has the final say in acceptance for software launch. Metrics shared between testing and other stakeholders can reduce bottlenecks and help your team reliably hit delivery dates with exceptional quality.
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Tricentis
Published By: MasterControl     Published Date: Oct 08, 2019
Metrics reign supreme in manufacturing, which means any new technology must be evaluated on its ability to drive measurable, scalable impact to your production operations, product quality and site performance. MasterControl has been helping companies ensure product quality and compliance for over 20 years — but often those metrics are about mitigating long-term risk versus driving real-time operational gains. That is until now. The new MasterControl Manufacturing Excellence solution delivers the next generation of digital production records to drive immediate improvement to plant operations and product quality.
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MasterControl
Published By: CA Technologies     Published Date: Jun 03, 2015
"To support digital transformation imperatives, organizations are increasingly exploring DevOps style approaches for the continuous delivery of high quality software. Unfortunately, however, many enterprises remain burdened with accumulated technical debt and legacy wasteful practices – waste that can quickly inhibit the flow of value to customers and the business. Lean thinking provides organizations with a framework by which to quickly identify all forms of waste impacting the flow of value, which DevOps practitioners can apply in a software development context to quickly pinpoint and eliminate 8 elements of waste across people, process and technology dimensions. This paper presents the 8 elements of waste framework, strategies needed to identify and eliminate waste, and the metrics needed to measure effectiveness.
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CA Technologies
Published By: Artemis Health     Published Date: Feb 05, 2019
Self-insured employers are mining their health and benefits data to save costs and provide quality care for employees. Data is driving business decisions, but how do you get from millions of rows of data to a consumable graph to taking action? In this white paper, we’ll delve into data analytics best practices that help self-insured employers find actionable insights in their benefits data. • Which data sources will help you ensure you’re measuring the right thing at the right time • How to ensure data variety and choose key metrics • An example of a successful predictive analysis using benefits data
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Artemis Health
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: 6th Sense Analytics     Published Date: Sep 19, 2007
Do you have a software development metrics program? Does it work? SD Times, 6th Sense Analytics and Rally Software Development Corp. participate in this recorded Roundtable Discussion focused on developing a metrics program that gives you the information you need to make informed decisions regarding your software development efforts.
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productivity, software development, quality assurance, quality control, metrics, 6th sense, 6th sense analytics
    
6th Sense Analytics
Published By: EMA     Published Date: Oct 01, 2014
A new mantra is emerging for IT professionals – Quality of Experience (QoE). In order to align monitoring and management practices with the true demands of the business, IT professionals must expand beyond traditional comfort zones of watching network and system health metrics to begin measuring and understanding the experience IT end users are having. Join EMA Vice President of Research, Jim Frey, and Fluke Networks Director of Products, Doug Roberts, for this on-demand webinar and discussion that will reveal:
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quality of experience, qoe, monitoring, network, systems, applications, services, proactive practices
    
EMA
Published By: SAP     Published Date: Jun 30, 2011
This white paper explores why today's executives still lack the relevant information or data quality to make decisions in a timely manner. Inside, learn about the biggest decisions-making challenges facings modern businesses and three keys to achieving better data-driven decisions.
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sap, smbs, high-quality data, erp software solution, decision management, data visibility, data quality, corporate strategy
    
SAP
Published By: SAS     Published Date: Mar 06, 2018
The most recent decade has seen rapid advances in connectivity, mobility, analytics, scalability, and data, spawning what has been called the fourth industrial revolution, or Industry 4.0. This fourth industrial revolution has digitalized operations and resulted in transformations in manufacturing efficiency, supply chain performance, product innovation, and in some cases enabled entirely new business models. This transformation should be top of mind for quality leaders, as quality improvement and monitoring are among the top use cases for Industry 4.0. Quality 4.0 is closely aligning quality management with Industry 4.0 to enable enterprise efficiencies, performance, innovation and business models. However, much of the market isn’t focusing on Quality 4.0, since many quality teams are still trying to solve yesterday’s problems: inefficiency caused by fragmented systems, manual metrics calculations, quality teams independently performing quality work with minimal cross-functional own
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SAS
Published By: SAS     Published Date: Mar 14, 2014
This Q&A with Tom Davenport, Director of Research for the International Institute for Analytics (IIA), will help you understand how analytics is evolving, where you need to go, and how to get there.
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sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
This paper explores the challenges organizations have today in implementing a data governance program via an actual business case. It highlights SAS technology that can help you solve many of those challenges.
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sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
This report examines how data visualization can help organizations unleash the full value of information, and outlines key considerations to guide the solution evaluation process.
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sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
Managing expectations before, during and after the adoption of visualization software is crucial. Users should know what the rollout process will look like and how it will take place, and have clear goals for using the tool. Make sure that the desired outcome isn’t just look-and-feel. Creating beautiful charts and graphs is not a substitute for practical business decisions.
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sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
This paper explores ways to qualify data control and measures to support the governance program. It will examine how data management practitioners can define metrics that are relevant.
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sas, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
This paper will consider the relevance of measurement and monitoring – defining inspection routines, inserting them into the end-to-end application processing, and reporting the results.
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sas, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
Jill Dyche and SpectraDynamo explains the importance of understanding how to manage data and issues regarding data categorization, retrieval and quality.
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sas, data categorization, retrieval and quality, spectradynamo, telemetry data, data governance program, data management, data quality
    
SAS
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