data quality

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Published By: Stratasys     Published Date: Sep 11, 2019
FDM (Fused Deposition Modeling) provides a fast and accurate method of producing jigs and fixtures. FDM is an additive manufacturing process that builds plastic parts layer-by-layer using data from computer-aided design (CAD) files. By using FDM, the traditional fabrication process is substantially simplified; tool-making becomes less expensive and time consuming. As a result, manufacturers realize immediate improvements in productivity, efficiency and quality. Find out how the Oreck Corporation, a well-respected manufacturer of vacuum cleaners and other cleaning appliances, realized immediate savings in cost, production time and inspection time by implementing FDM for its fixtures.
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Stratasys
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: 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: 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
TIBCO® Connected Intelligence for Smart Factory Insights By processing real-time data from machine sensors using artificial intelligence and machine learning, it's possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield.
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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: Red Hat     Published Date: Jun 19, 2019
Technology has fundamentally changed the way we live. Access to data and information anytime, anywhere is no longer a luxury—it is a requirement, in both our personal and professional lives. For IT organizations, this means pressure has never been greater to deliver higher-quality applications more often, enabling companies to stay relevant and seize digital business opportunities. Cloud-native is an approach to building applications that takes advantage of cloud computing models and DevOps principles to make the delivery of new features and services faster and more flexible. With a cloud-native strategy, organizations can begin the culture, process, and technology changes needed to meet new demands and become an IT organization that can deliver business innovation faster. The following checklist will assess your needs and possible business impacts to help you choose a cloud-native platform that benefits the business, developers, and IT operations team.
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Red Hat
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: 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: Forcepoint     Published Date: May 14, 2019
2018 NSS Labs SD-WAN Group Test In this report, NSS Labs simulated an enterprise network that has branches connected to a data center through two links: an MPLS line and a commercial broadband connection. They reviewed a select number of vendors, testing their throughput performance, video quality and VoIP quality as well as security effectiveness. NSS Labs verified that Forcepoint NGFW handled all of their use cases and offers all the operational capabilities that they recommend as necessary for SD-WAN as well as scoring 100% across all security tests, blocking all evasion techniques. “Forcepoint is one of the few vendors to support all of the use cases and capabilities we tested as well as strong security in their SD-WAN solution. They should be on the short list for any organization that’s looking to connect and protect their distributed enterprise.” - Vikram Phatak, CEO, NSS Labs Read the report and learn how Forcepoint delivers SD-WAN with enterprise scale and security to ma
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Forcepoint
Published By: Forcepoint     Published Date: May 14, 2019
2018 NSS Labs SD-WAN Group Test In this report, NSS Labs simulated an enterprise network that has branches connected to a data center through two links: an MPLS line and a commercial broadband connection. They reviewed a select number of vendors, testing their throughput performance, video quality and VoIP quality as well as security effectiveness. NSS Labs verified that Forcepoint NGFW handled all of their use cases and offers all the operational capabilities that they recommend as necessary for SD-WAN as well as scoring 100% across all security tests, blocking all evasion techniques. “Forcepoint is one of the few vendors to support all of the use cases and capabilities we tested as well as strong security in their SD-WAN solution. They should be on the short list for any organization that’s looking to connect and protect their distributed enterprise.” - Vikram Phatak, CEO, NSS Labs Read the report and learn how Forcepoint delivers SD-WAN with enterprise scale and security to ma
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Forcepoint
Published By: Forcepoint     Published Date: May 14, 2019
2018 NSS Labs SD-WAN Group Test In this report, NSS Labs simulated an enterprise network that has branches connected to a data center through two links: an MPLS line and a commercial broadband connection. They reviewed a select number of vendors, testing their throughput performance, video quality and VoIP quality as well as security effectiveness. NSS Labs verified that Forcepoint NGFW handled all of their use cases and offers all the operational capabilities that they recommend as necessary for SD-WAN as well as scoring 100% across all security tests, blocking all evasion techniques. “Forcepoint is one of the few vendors to support all of the use cases and capabilities we tested as well as strong security in their SD-WAN solution. They should be on the short list for any organization that’s looking to connect and protect their distributed enterprise.” - Vikram Phatak, CEO, NSS Labs Read the report and learn how Forcepoint delivers SD-WAN with enterprise scale and security to ma
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Forcepoint
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: Flexera     Published Date: May 06, 2019
Using new technology to set your business apart can make the difference between getting ahead or falling behind. But staying in control of the growing complexity is a challenge. Enterprise Architecture (EA), IT Service Management (ITSM) and Security teams need enriched technology asset data and accurate analytics so they can keep the enterprise running like a well-oiled machine. Join us to hear R “Ray” Wang, Principal Analyst and Founder of Constellation Research, and Alan Lopez, Senior Director of Global Product Marketing from Flexera, discuss use cases where asset data and analytics are becoming business-critical. Watch the webinar.
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Flexera
Published By: HERE Technologies     Published Date: Apr 04, 2019
Artificial Intelligence (AI) has already begun to improve targeting, segmentation, media buying and planning in the advertising industry. AI algorithms can extract complex patterns from vast numbers of data points, and in so doing, are able to self-correct and learn patterns. The revenue potential that improved personalization, segmentation and targeting that AI provides to marketers is huge. At HERE Technologies, we are placing AI and machine learning at the center of our products and services. We see the opportunity in automated machine learning to enrich the targeting and effectiveness of mobile advertising campaigns in real time. But the outcome of implementing such technology depends on the quality of data being fed into it from the outset. AI wouldn’t be as helpful if it’s being used alongside questionable location data or audience data. HERE’s location data provides a strong thread that can be woven throughout every stage of the media buying process, offering more context and
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location data, ad tech, location targeting
    
HERE Technologies
Published By: Schneider Electric     Published Date: Mar 28, 2019
To win the colocation race you need to be faster, reliable, innovative and efficient –all while making smarter design choices that will ensure positive returns. Customers are demanding 100% uptime and always-on connectivity –be it small enterprises to large Internet Giants–and colocation providers need to meet these expectations. The growing adoption of prefabricated data centers allows just that. With the undisputed benefits of prefab modules and building components(like speed or quality),colocation providers can manage their business today, and deploy faster in the future. Chris Crosby, CEO for Compass Datacenters, is well-known for his expertise in the data center industry. From its founding in 2012, Compass’ data center solutions have used prefabricated components like exterior walls and power centers to deliver brandable, dedicated facilities for colocation providers. Prefabrication is the central element of the company’s “Kit of Parts” methodology that delivers customizable data center solutions from the core to the edge. By attending this webinar, colocation providers will: • understand the flexibility and value delivered via the use of prefabricated construction • Hear the common misperceptions regarding prefabricated modules and data center components • learn how prefabricated solutions can provide more revenue generation capability than competing alternatives • know what key things to consider when evaluating prefabricated data center design
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data centers, colocation provider, schneider electric, - modular data centers, prefabricated data center
    
Schneider Electric
Published By: Red Hat     Published Date: Mar 28, 2019
Technology has fundamentally changed the way we live. Access to data and information anytime, anywhere is no longer a luxury—it is a requirement, in both our personal and professional lives. For IT organizations, this means pressure has never been greater to deliver higher-quality applications more often, enabling companies to stay relevant and seize digital business opportunities. Cloud-native is an approach to building applications that takes advantage of cloud computing models and DevOps principles to make the delivery of new features and services faster and more flexible. With a cloud-native strategy, organizations can begin the culture, process, and technology changes needed to meet new demands and become an IT organization that can deliver business innovation faster.
Tags : 
    
Red Hat
Published By: SAS     Published Date: Mar 20, 2019
In today’s crowded analytics marketplace, who can you trust? What’s needed to deliver on the promise of transforming data into real value? And what do CIOs need to cost-effectively and successfully lead their organizations through changing technologies? For an organization to experiment with (and ultimately deploy) analytics, the responsibility falls squarely on the shoulders of IT. IT must provide secure access to lots of high-quality data, a friendly environment for experimentation and discovery, and a method for rapidly deploying and governing models. SAS can support an organization's journey toward becoming a data- and analytics-driven organization. We can help unlock the value by enabling with choices that make sense. Plus, we can show organizations how to get the most out of technology investments.
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SAS
Published By: SambaSaftey     Published Date: Mar 15, 2019
Today, it’s commonplace for companies to check the motor vehicle records (MVRs) of their drivers once a year. That’s considered due diligence. But what if one driver gets a moving violation or a citation for driving under the influence three weeks after the report was pulled? It could take months for that potentially costly issue to come to light. Likewise, a driver safety policy issued annually is typically worth about as much as the paper it’s written on. There is great potential in setting high standards and creating positive driving behaviors, but this must be a continual process informed by concrete policies, shared motivation to improve, useful data, and quality leadership. Fortunately, several important practices can help companies create a better safety culture –saving money, reducing risk and legal vulnerability, and keeping employees and communities safe. Here’s how.
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SambaSaftey
Published By: Trifacta     Published Date: Feb 12, 2019
In recent years, a new term in data has cropped up more frequently: DataOps. As an adaptation of the software development methodology DevOps, DataOps refers to the tools, methodology and organizational structures that businesses must adopt to improve the velocity, quality and reliability of analytics. Widely recognized as the biggest bottleneck in the analytics process, data preparation is a critical element of building a successful DataOps practice by providing speed, agility and trust in data. Join guest speaker, Forrester Senior Analyst Cinny Little, for this latest webinar focusing on how to successfully select and deploy a data preparation solution for DataOps. The presentation will include insights on data preparation found in the Forrester Wave™: Data Preparation Solutions, Q4 2018. In this recorded webinar you will learn: • Where does data preparation fit within DataOps • What are the key technical & business differentiators of data preparation solutions • How to align the righ
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Trifacta
Published By: HERE Technologies     Published Date: Feb 12, 2019
How does a transport authority to provide the safest and most efficient road network possible? How does it ensure the supply of data on road closures, accidents and disruptive events used in its decision-making is of the highest quality? This ebook examines the process used by HERE Technologies to produce industry-leading traffic content. As the foremost global provider of traffic incident information, HERE is well placed to help transport authorities exceed expectations as it produces evermore precise and granular data around the incidents that impact traffic flow.
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public sector, urbanization, traffic management
    
HERE Technologies
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