data quality

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Published By: Marketo     Published Date: Nov 04, 2011
Knowing the right questions to ask makes a world of difference when making a purchase. To ensure you make the most out of your reference calls, use this list of valuable questions you should always ask. Topics range from CRM integration, support experience and implementing functions like lead scoring, lead nurturing and data quality.
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marketo, reference call, crm integration, white paper, marketing, data quality
    
Marketo
Published By: BMC Control M     Published Date: Apr 01, 2009
Listen in as Sentrigo interviews Dr. Charles Popper, who discusses specific data integrity and security requirements for the pharma sector. Dr. Popper will address how to enforce the proper balance of information sharing and database protection, without compromising high-quality research.
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platforms, data management
    
BMC Control M
Published By: SAS     Published Date: Apr 16, 2015
Ecclesiastical uses SAS® to improve data quality to make better decisions that enhance the reputation of the business, affect millions of pounds of risk selection/underwriting and help to establish optimum reinsurance levels. Millions of pounds hang on decisions around reinsurance and risk selection. Achieving the best possible outcome means taking data and turning it into ‘decision-making gold’. The key is to have good data going into the process.
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SAS
Published By: Trillium Software     Published Date: Jun 06, 2011
The second Web seminar in the series is titled "Data Governance". Learn how Digital River successfully implemented Data Governance across their organization.
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trillium software, operational data quality, upstream operational systems, data governance, data monitoring, businessprocesses, digital river, data management, business applications
    
Trillium Software
Published By: Trillium Software     Published Date: Jun 06, 2011
The fourth Web seminar in the series is titled "Tips, Tools & Best Practices" which shows how you can learn to deliver high performance data quality in real-time.
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trillium software, operational data quality, odq, performance management, real-time transactions, high performance data quality, business processes optimization, information integrity, reusable data quality, application optimization
    
Trillium Software
    
Optis
Published By: Oracle     Published Date: Nov 08, 2017
Webcast on why choose Oracle Cloud solutions
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oracle. database. cloud, enterprise, network, quality assurance, storage management, servers
    
Oracle
Published By: IBM     Published Date: May 02, 2014
The end-to-end information integration capabilities of IBM® InfoSphere® Information Server are designed to help organizations understand, cleanse, monitor, transform and deliver data—as well as collaborate to bridge the gap between business and IT.
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ibm, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility, performance requirements, hadoop, scalability, data integration, big data projects, high-quality data, leverage data replication, data persistence, virtualize data, it management, data management, data center
    
IBM
Published By: IBM     Published Date: May 02, 2014
This eBookoutlines the best practices for data lifecycle management and how InfoSphere Optimsolutions enable organizations to support and implement them.
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ibm, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility, performance requirements, hadoop, scalability, data integration, big data projects, high-quality data, leverage data replication, data persistence, virtualize data, lifecycle management, big data strategy, it management
    
IBM
Published By: GE Healthcare     Published Date: Feb 23, 2015
Southwestern Ontario Diagnostic Imaging Network relies on Centricity™ Clinical Archive to connect 62 hospitals with disparate PACS & RIS systems, resulting in reduced storage costs and data duplication and increased productivity and enhanced quality of care. Learn more in this case study. Centricity Clinical Archive includes the following product components: Centricity Enterprise Archive, Universal Viewer ZFP, Caradigm eHIE, Centricity Clinical Gateway, NextGate MatchMetrix EMPI, PACSGEAR PacsSCANTM
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xds, cross enterprise document sharing, unified view of patient images, archive & storage, image sharing & management, vendor neutral archive (vna), centricity clinical archive, mobile image capture, enterprise archive, archiving services, zero footprint viewer, image archive, dicom storage
    
GE Healthcare
Published By: Delphix     Published Date: Apr 14, 2015
Current test data management solutions are flawed in at least one key dimension. Technologies in the emerging Data as a Service (DaaS) category bring the benefits of virtualization to application data, delivering high-quality test data with both speed and efficiency.
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Delphix
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: Cox Business     Published Date: Dec 19, 2016
Businesses need to plan for unforeseen events that can disrupt productivity, impair the customer experience, and possibly even threaten a business’s existence. A disruption every business needs to plan for is any event that destroys valuable data, inhibits access to data, or causes downtime of core applications. Consider the staggering amount of information your company stores electronically. What if an unforeseen event destroyed all financial records, client contacts, and application data? You wouldn’t be able to send customers accurate invoices. Your marketing efforts might be undermined. You would lack key metrics for measuring quality, profitability, and more. The losses could be staggering. In every aspect of life, it’s smart to plan for unexpected events. That’s especially true for two plans every business must have: a disaster recovery plan and a business continuity plan.
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Cox Business
Published By: Dun & Bradstreet     Published Date: Feb 21, 2017
As the volume of data coming into organizations – from both internal and external sources – continues to grow and makes its way across departmental systems in many different formats, there is a critical need to create a single, holistic view of the key data entities in common use across the enterprise. Master Data Management (MDM) aims to accomplish this goal. Not surprisingly, MDM has become a significant priority for global enterprises, with the market expected to triple from $9.4B to $26.8B by 2020 according to analysts. The reality, though, is that while seemingly everyone is investing heavily in the tools to manage data, few are putting a great enough emphasis on the data itself. And that’s a problem. Poor data quality is said to be costing businesses $3.1 trillion annually – and that’s just in the US alone. The information being put into MDM tools must be mastered first and foremost.
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managing data, data management insight, mdm, master data management
    
Dun & Bradstreet
Published By: Fiserv     Published Date: Nov 07, 2017
Digital loan origination processes can still require significant manual support, which is often inaccurate and time-consuming. This National Mortgage News paper, sponsored by Fiserv, explains how you can improve your current loan production while reducing costs and risk of non-compliance.
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loan quality, loan data quality, mortgage quality, mortgage data quality, loan compliance, lending compliance, mortgage compliance, trid, tila respa integrated disclosure, lending efficiency, loan automation, lending automation, mortgage automation, ucd, uniform closing dataset, borrower satisfaction, borrower experience
    
Fiserv
Published By: Fiserv     Published Date: Nov 08, 2017
"Learn how you can reduce loan defects, improve data quality and simplify compliance in the mortgage lending process. Co-presented with Craig Focardi, mortgage industry executive and technology advisor, this webinar provides insights into mortgage lending process challenges and how they impact experiences for lenders and borrowers, as well as the overall performance of the loan. The webinar also provides suggestions for reducing loan defects and strategies to correct them."
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Fiserv
Published By: Tricentis     Published Date: Jan 08, 2018
Data. It seems to be everywhere today and yet we can never get enough of it. But as it turns out, a lack of data isn’t our problem -- our problem is the difficulty piecing together, understanding and finding the story in all the data that’s in front of us. In software testing in particular, the need for consolidated, meaningful test metrics has never been higher. As both the pace of development and the cost of delivering poor quality software increase, we need these metrics to help us test smarter, better and faster. Fortunately, business intelligence now exists to make this goal a reality. The analytics these tools provide can help drive efficient and effective testing by providing teams with insight on everything from testing quality and coverage to velocity and more. And this knowledge can position the QA team as trusted experts to advise the entire software development team on steps that can ensure a better quality end result.
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Tricentis
Published By: HERE Technologies     Published Date: Sep 26, 2018
Mobile has become the first screen for consumers in terms of internet time spent. Hyperlocal location data is unique to mobile and provides a lot of new, valuable information about consumers. Today’s sophisticated buyers demand more transparency in location data science, better campaign performance and ROI from attribution modeling. Finding the right partner that can help build the bridge between real-world consumer behavior and mobile programmatic advertising in a transparent way is essential. To meet those challenges and address the demand for top quality location data, adsquare integrated a global database of HERE Places in April 2017. By leveraging HERE Places and overlaying raw location data of anonymous users with POI data points, adsquare is able to understand exactly what consumers are doing in the real world: what places they visit, when and how often. To find out more download this paper today.
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HERE Technologies
Published By: HERE Technologies     Published Date: Feb 12, 2019
Get higher quality, more accurate location data – and a safer, more profitable fleet – by choosing the right location services provider. The true value of a location platform comes from bringing together multiple data sources and presenting them in a meaningful way. Using a platform approach, you can help customers differentiate their service, increase margins and increase safety. So, in this guide, we cover the four key considerations for choosing a mapping and location service platform to ensure a high quality, accurate mapping service for you and your customers. Download the eBook
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location data, transport & logistics, location services
    
HERE Technologies
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