quality data

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Published By: ServiceNow     Published Date: Oct 23, 2019
The quality of data that your Configuration Management Database (CMDB) relies on is critical to helping you track the software assets coming into an organization from the point of inception to the point of disposition. That’s where Software Asset Management (SAM) can help.Download this whitepaper to understand how to use SAM to build a CMDB that helps you track the value of IT services, improve compliance, and scale to meet changing service demands.
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ServiceNow
Published By: Lenovo - APAC     Published Date: Oct 03, 2019
Your patients demand consistent, quality care, every step of the way. That’s where Lenovo can help – with advanced innovation-led infrastructure that’s built for healthcare. Our ‘one patient, one record’ approach, ISO-certified medical hygiene and robust data security support smarter, more collaborative ways of working – for the very best patient outcomes Learn more – download the eBook
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Lenovo - APAC
Published By: Lenovo - APAC     Published Date: Sep 27, 2019
Your patients demand excellent quality care. With single patient ID, medical grade hygiene and robust data security from Lenovo, you can offer them the very best outcomes.
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Lenovo - APAC
Published By: Group M_IBM Q4'19     Published Date: Sep 27, 2019
Data is multiplying rapidly in quantity and variety for enterprises of all kinds. In multicloud environments, a range of data sources is exponentially increasing the stream of incoming information, from the Internet of Things and social media, to mobile devices, virtual reality implementations and optical tracking. While organizations are readily investing in artificial intelligence (AI), most haven’t done due diligence to understand their data or ensure the quality of data needed to benefit from AI solutions. In many organizations, their data is inaccessible, unreliable, or non-compliant with data privacy and protection rules.
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Group M_IBM Q4'19
Published By: TIBCO Software     Published Date: Sep 16, 2019
TIBCO Data Virtualization é uma solução comprovada que é usada por quatro das cinco principais companhias de energia integradas para fornecer mais rapidamente um maior volume de dados analíticos nas operações de exploração e produção. Os casos de uso específicos descritos incluem: • Análise de dados em plataformas offshore • Manutenção e reparação de poços • Serviços de dados web em refinarias • SAP Master Data Quality Se uma empresa de energia está enfrentando desafios relacionados com dados e suas análises, deve considerar o TIBCO Data Virtualization.
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TIBCO Software
Published By: TIBCO Software     Published Date: Sep 16, 2019
TIBCO Data Virtualization es una solución probada que es utilizada por cuatro de las cinco principales compañías de energía integradas para obtener más rápidamente una mayor cantidad de datos analíticos las operaciones de exploración y producción. Los casos de uso específicos que se describen incluyen: • Analítica de Datos de Plataformas Marítimas • Mantenimiento y Reparación de Pozos • Servicios de Datos Web en Refinerías • SAP Master Data Quality Si una compañía de energía está enfrentando desafíos relacionados con los datos y la analítica similares, debe considerar TIBCO Data Virtualization.
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TIBCO Software
Published By: Anaplan     Published Date: Sep 11, 2019
Prior to implementing the Anaplan platform, RSA Group had a tedious spreadsheet-based, nine-month planning cycle riddled with data quality issues, which was compounded by siloed, functional fragmentation across the company. As a result, the finance team was spending a significant amount of time cleaning data rather than analyzing it to provide insight to key stakeholders throughout the business. Using the Anaplan platform, RSA Group reduced their financial planning process from nine months to five months. The workforce planning team experienced a 50% improvement in productivity. The business can now own their connected plans, resulting in improved decision support to business users, as well as improved customer service and financial results.
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Anaplan
Published By: Siteimprove     Published Date: Sep 06, 2019
Siteimprove transforms the way organizations manage and deliver their digital presence. With the Siteimprove Intelligence Platform, you gain complete visibility and deep insights into what matters, empowering you and your team to outperform the status quo with certainty every day. In this digital age, maintaining high-quality content—all while measuring website success and delivering a superior user experience—can no longer be accomplished manually. The Siteimprove Intelligence Platform unlocks new insights into your content and analytics data to let you focus your efforts where they belong.
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site optimisation, digital, web content, site analytics
    
Siteimprove
Published By: TIBCO Software     Published Date: Aug 20, 2019
TIBCO Data Virtualization is a proven approach used by four of the top five integrated energy companies to deliver more analytic data sooner from across upstream and downstream operations. Specific use cases described include: •? Offshore Platform Data Analytics •? Well Maintenance and Repair •? Cross Refinery Web Data Services •? SAP Master Data Quality If you are an energy company facing similar data and analytic challenges, consider TIBCO Data Virtualization.
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data virtualization, analytic data, oil&gas, improved roi, improved efficiency
    
TIBCO Software
Published By: SAS     Published Date: Aug 19, 2019
With the combination of electronic health records, rich repositories of claims data, medical device outputs, laboratory and prescription systems, real-world data and the data mined from other information technology systems, the health and life sciences ecosystem can now gain new perspective. Download this complimentary paper to learn more about how health care data has the power to transform the sector, helping to address the industry’s biggest challenges surrounding costs and quality of patient care. By adopting solutions that allow them to both produce and consume data analytics insights in a way that better guides clinical and business strategies, innovative health care organizations can learn not only to survive but also thrive in the decades to come.
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SAS
Published By: Artemis Health     Published Date: Aug 08, 2019
Most benefits professionals agree: access to data is the key to a solid benefits strategy. But there are some hurdles in your way to finding and implementing a data solution. In this guide, we’ll show you how to overcome some of the challenges commonly faced by benefits teams: • Prioritizing data amongst other initiatives and finding the time for analysis • Ensuring data quality and security, and working with internal teams to get buy-in • Justifying the cost and learning how to educate others on the value of data
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Artemis Health
Published By: HERE Technologies     Published Date: Aug 08, 2019
The overall supply chain is becoming increasingly complex. When running smoothly, this global system lowers costs and improves quality, but as more moving parts are introduced the potential for inefficiency increases. Greater visibility is key to preventing disruptions and gaps in the supply chain - and location data is the key to enhancing visibility. By reading this eBook, you will discover: How location intelligence can help identify areas that are ripe for optimization How real-time data can provide useful insights on supply chain health and help identify waste in your processes How HERE helped a car manufacturer identify millions in savings annually by adding location awareness to its supply chain planning
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supply chain, transport and logistics, mapping
    
HERE Technologies
Published By: SAS     Published Date: Aug 06, 2019
With the combination of electronic health records, rich repositories of claims data, medical device outputs, laboratory and prescription systems, real-world data and the data mined from other information technology systems, the health and life sciences ecosystem can now gain new perspective. Download this complimentary paper to learn more about how health care data has the power to transform the sector, helping to address the industry’s biggest challenges surrounding costs and quality of patient care. By adopting solutions that allow them to both produce and consume data analytics insights in a way that better guides clinical and business strategies, innovative health care organizations can learn not only to survive but also thrive in the decades to come.
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SAS
Published By: AWS     Published Date: Jul 24, 2019
Join us to learn why Human-in-the-Loop training data should be powering your machine learning (ML) projects and how to make it happen. If you’re curious about what human-in-the-loop machine learning actually looks like, join Figure Eight CTO Robert Munro and AWS machine learning experts to learn how to effectively incorporate active learning and human-in-the-loop practices in your ML projects to achieve better results. You'll learn: When to use human-in-the-loop as an effective strategy for machine learning projects How to set up an effective interface to get the most out of human intelligence How to ensure high-quality, accurate data sets When: Available On Demand (please register to view) Who Should Attend: IT leaders and professionals, line-of-business managers, business decision makers, data scientists, developers, and other experts interested in implementing AI/ML on the cloud are encouraged to attend this webinar. AWS Speaker: Chris Burns, Solutions Architect Figure Eight Spea
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AWS
Published By: TIBCO Software     Published Date: Jul 22, 2019
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
Today, you can improve product quality and gain better control of the entire manufacturing chain with data virtualization, machine learning, and advanced data analytics. With all relevant data aggregated, analyzed, and acted on, sensors, devices, people, and processes become part of a connected Smart Factory ecosystem providing: •? Increased uptime, reduced downtime •? Minimized surplus and defects •? Better yields •? Reduced cost due to better quality •? Fewer deviations and less non-conformance
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TIBCO Software
Published By: ETQ     Published Date: Jul 10, 2019
According to Gartner, "supply chain leaders responsible for quality management are shifting to software solutions that standardize processes, optimize data and ensure compliance. This research provides guidance for structuring a process for QMS software selection." Download this Gartner Analyst Guide to learn: Key challenges in the QMS software selection processes What to expect from different QMS solutions across the market Analysis of the current state of quality management to help define software requirements Self assessment questions and commonly sought QMS system functionalities to use in your decision making process
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ETQ
Published By: Procore     Published Date: Jun 25, 2019
Understanding the inextricable link between safety, quality and productivity is a critical piece of knowledge for today's construction management professional. And it should be leverage at all stages of a projects, from planning to programming and through the execution of the work. A proper task analysis will: Account for all three elements: safety, quality and productivity include input from site personnel Include the information needed to make decisions on the site Be a workable plan Remember that once you accept safety, productivity and quality are inextricably linked, you begin to realise that the data you harvest from your various site reports, such as reports of near misses or the need for constant rework, may also be able to fill in the blanks and tell a story about the overall progress and productivity on a project as well.
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Procore
Published By: Genesys     Published Date: Jun 19, 2019
Successfully managing a contact center requires a collaborative, multidisciplinary approach to handle a broad range of operational and tactical tasks. Planning, day-to-day operations and quality management must be seamlessly orchestrated, along with human resources functions like recruitment, learning and development, and employee scheduling. Read this executive brief to learn how to transition to an AI strategy that can take your team – and business results – to the next level. See how you can: Create an AI strategy with a single data model that includes routing, interaction analytics, forecasting/scheduling and predictive engagement Harness the power of your data to align customers with the best resource Drive employee effectiveness by ensuring you hire the right people and manage their performance to drive their success over the long term
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Genesys
Published By: AWS     Published Date: Jun 11, 2019
Join us to learn why Human-in-the-Loop training data should be powering your machine learning (ML) projects and how to make it happen. If you’re curious about what human-in-the-loop machine learning actually looks like, join Figure Eight CTO Robert Munro and AWS machine learning experts to learn how to effectively incorporate active learning and human-in-the-loop practices in your ML projects to achieve better results. You'll learn: When to use human-in-the-loop as an effective strategy for machine learning projects How to set up an effective interface to get the most out of human intelligence How to ensure high-quality, accurate data sets When: Available On Demand (please register to view) Who Should Attend: IT leaders and professionals, line-of-business managers, business decision makers, data scientists, developers, and other experts interested in implementing AI/ML on the cloud are encouraged to attend this webinar. AWS Speaker: Chris Burns, Solutions Architect Figure Eight Spea
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AWS
Published By: Spectrum Enterprise     Published Date: Jun 05, 2019
The success of every business is driven by the quality of its connections, whether with clients, employees, investors, suppliers, manufacturers or other key stakeholders. Increasingly, these relationships are measured through data-driven analytics, enhanced through video communication, and empowered through cloud computing and collaboration. As the volume of data grows, so do bandwidth requirements.
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Spectrum Enterprise
Published By: Citrix Systems     Published Date: Jun 04, 2019
Now that 72.3% of cloud users have a mix of on-prem/off-prem clouds, the networking game has changed. Traditional app delivery solutions can’t ensure reliable, secure access in a SaaS, multi-device, hybrid, and multi-cloud world. Get this solution brief to learn why a holistic strategy innately reduces complexities that otherwise would prohibit visibility and control in distributed architectures. The brief also explains: The Citrix Networking approach to delivering reliability and a high-quality experience How to ensure reliable access to apps at branch and remote locations while keeping costs low How to provide full visibility and analytics for your network, applications, users, and data
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Citrix Systems
Published By: Group M_IBM Q2'19     Published Date: May 28, 2019
Amid the rising costs of healthcare, employers and health plans are under increasing pressure to produce fast insights from their data to help drive business decisions, identify opportunities to reduce cost, improve care quality and generate reports for diverse stakeholders. But these professionals often lack the time, resources and analytic expertise necessary to integrate and interpret the massive amounts of disparate data available to them.
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Group M_IBM Q2'19
Published By: Procore     Published Date: May 13, 2019
As the construction industry becomes more competitive, regulations increase and skilled labour becomes more selective; the one thing that will define your company from the competition is your data. The best companies use real, situational data in pre-task analyses daily to report on and improve their Quality, Safety and Productivity processes and performance. Download your copy to learn: • The importance of including quality, safety and productivity in your pre-task analyses • Using the three-part task-analysis approach • How to collect meaningful data to track performance
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Procore
Published By: Hewlett Packard Enterprise     Published Date: May 10, 2019
The performance of enterprise applications will have a direct impact on business activities and outcomes. The quality of the delivery of applications will depend on how smoothly the underlying data infrastructure operates. ? Optimal application performance and delivery is difficult to achieve in complex environments. ? Many IT infrastructure and operations teams are stretched to the breaking point. ? Predictive analytics and machine learning can be applied to great effect
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Hewlett Packard Enterprise
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