data quality

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Published By: Dun & Bradstreet     Published Date: Mar 08, 2016
Did you know that the average health of marketers’ data is only “questionable?” Dun & Bradstreet analyzed 695M customer contact records and surveyed more than 500 B2B marketers to provide the truth about the state of B2B marketing data. Download the fourth annual report to discover how you can turn improved data quality into a competitive advantage. • The trends and pitfalls every data-driven marketer needs to know • The true state of B2B marketing data quality • Benchmarks for assessing your own data quality • Dun & Bradstreet’s research of B2B marketers’ data-fueled priorities for 2016 Do you have the data strategy you need to deliver on your marketing goals? Download the B2B Marketing Data Report to find out!
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Dun & Bradstreet
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
Published By: Hitachi Vantara     Published Date: Mar 20, 2018
ESG Lab performed hands-on evaluation and testing of the Hitachi Content Platform portfolio, consisting of Hitachi Content Platform (HCP), Hitachi Content Platform Anywhere (HCP Anywhere) online file sharing, Hitachi Data Ingestor (HDI), and Hitachi Content Intelligence (HCI) data aggregation and analysis. Testing focused on integration of the platforms, global access to content, public and private cloud tiering, data quality and analysis, and the ease of deployment and management of the solution.
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Hitachi Vantara
Published By: Plex Systems     Published Date: Aug 15, 2014
There has been no shortage of high profile recalls over the past several years. Suppliers are being required to provide more robust quality management systems, provide better real-time visablity into manufacturing data, and may even be held accountable for additional charge-back and warranty claims. Take a next generation approach to quality management.
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networking
    
Plex Systems
Published By: Fiserv     Published Date: Nov 07, 2017
"In today’s ever-evolving lending landscape where loan quality and risk management challenge profitability and the customer experience, technology may be the key to thriving – both now and in the future. Winning financial services institutions will be the ones that transform their business models to place loan quality and risk management at the center of their operations. To facilitate continuous life-of-loan management, inclusive of the requisite data transparency and audit trails that support loan quality and loss mitigation, these institutions will implement and automate a loan completion process. Such a process will manage data quality and access to loan data and documents throughout origination, servicing and sale on the secondary market."
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mortgage data quality, loan quality, loan data quality, mortgage quality, loan compliance, lending compliance, mortgage compliance, trid, tila respa integrated disclosure, lending efficiency, loan automation, lending automation, mortgage automation, ucd, uniform closing dataset
    
Fiserv
Published By: Fiserv     Published Date: Nov 07, 2017
Learn how loan onboarding can become more efficient and accurate by eliminating manual data validation with automation technology that is poised to transform mortgage servicing. From end-to-end, tools can simplify workflow processes, driving time and cost efficiencies. Trained staff can be deployed to greater effect and can be crucial to eliminating servicing errors. In the process, servicers improve data quality, save time and money, and deliver a better borrower experience.
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loan quality, loan data quality, mortgage quality, mortgage data quality, loan compliance, lending compliance, mortgage compliance, lending efficiency, loan automation, lending automation, mortgage automation, ucd, uniform closing dataset, borrower satisfaction, borrower experience, mortgage origination, mortgage origination automation, mortgage servicing, mortgage servicing automation
    
Fiserv
Published By: Fiserv     Published Date: Nov 07, 2017
"Recently, a number of factors have come together to decimate the profitability of the mortgage banking industry. To regain its footing, the industry must return to mortgage banking fundamentals. This paper carefully examines each function within the mortgage business to determine if there is a better approach that will save money and improve long-term profitability."
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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 07, 2017
"Improve Loan Data Quality and Compliance from Origination to Delivery. This complimentary CEB Gartner paper helps identify process and technology issues that lead to loan defects. Learn strategies for fixing issues and recommends technologies to help lenders improve loan data quality and compliance to reduce costs and improve the borrower experience. "
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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 15, 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: Fiserv     Published Date: Nov 09, 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: IBM Watson Health     Published Date: Jul 09, 2018
Gaps in care in health systems cause higher mortality rates and inflate costs. Download this case study for a closer look at how one health system used IBM CareDiscovery data to prove to their board that an outpatient palliative care service line was viable in both cost savings and quality of care improvement.
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mortality rates, quality of care, palliative care, care continuum, clinical performance improvement, ibm, carediscovery, roi, value-based care, episode-of-care, mortality data, process-of-care model, hospital insights, health system insights
    
IBM Watson Health
Published By: Schneider Electric     Published Date: Feb 12, 2018
Many of the mysteries of equipment failure, downtime, software and data corruption, are the result of a problematic supply of power. There is also a common problem with describing power problems in a standard way. This white paper will describe the most common types of power disturbances, what can cause them, what they can do to your critical equipment, and how to safeguard your equipment, using the IEEE standards for describing power quality problems.
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Schneider Electric
Published By: Groove     Published Date: May 16, 2018
From equipping them with accurate data to efficiency-driving tools to impactful training, you want to find the best systems to help your reps soar. As the market floods with technology (and a lot of lofty claims), it may be tough to know what you actually need and where to start your research process to help — not hinder — your team. You’ve probably heard a lot of buzz about sales engagement platforms, and there are quite a few to choose from. But what is it? What does it do? In sales, time is money. If you find that your team’s time is tied up in manual or administrative tasks, consider looking into a sales engagement platform. The right sales engagement platform will power outreach quality and quantity, ultimately helping your team crush their goals and boost the bottom line. In this guide, we’ll help you think through what features you should look for and what questions to ask as you begin to compare your options.
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Groove
Published By: Resource     Published Date: Dec 04, 2018
What’s a common characteristic of the best talent? They all have jobs. In today’s marketplace, to get the best talent you have to convince them your opportunity is better than what they currently have. The good news: it can be done - and you can win consistently with a deliberate outbound process. The bad news: it requires an intentional approach which is challenging without the right tools and data. Your success depends on your ability to build a repeatable process to identify and recruit a steady volume of high quality applicants. The way to accelerate and scale your outbound process is to benchmark and refine it regularly using data. Below we’ll walk through the steps to building a data-driven recruiting process, based on.. you guessed it.. data.
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Resource
Published By: Teradata     Published Date: May 02, 2017
Kylo overcomes common challenges of capturing and processing big data. It lets businesses easily configure and monitor data flows in and through the data lake so users have constant access to high-quality data. It also enhances data profiling while offering self-service and data wrangling capabilities.
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cost reduction, data efficiency, data security, data integration, financial services, data discovery, data accessibility, data comprehension
    
Teradata
Published By: Delphix EMEA     Published Date: Jan 17, 2019
“In the rush to develop apps faster and deliver more, it’s easier than ever for things to fall through the cracks, like every hasty +1’ed dev/test environment creating a potential security minefield of unmasked sensitive fields. Without the right dev processes, it’s not just security that suffers. With the typical developer spending around 12-hours a week on tasks like setting up and configuring environments or relying on worthless fake data, productivity and quality often fall victim too. Download the Developer Confessions chapter to discover the biggest frustrations we hear from developers, how to balance access to data with data security, and proven ways to speed up developer productivity.”
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Delphix EMEA
Published By: IBM     Published Date: Jul 06, 2016
Built using the IBM® InfoSphere® Information Server, IBM BigInsights® BigIntegrate and BigInsights BigQuality provide the end-to-end information integration and governance capabilities that organizations need.
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ibm, big data, ibm infosphere, ibm biginsights, ibm bigintegrate, ibm bigquality, data management, data quality, data integration, data center
    
IBM
Published By: IBM     Published Date: Jul 08, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, idc, big data, data, analytics, information governance, knowledge management, data management, data center
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
Data quality and master data management in a hybrid environment
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ibm, mdm, big data, ibm infosphere, knowledge management, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Jan 27, 2017
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain a competitive advantage in their industry. However, as discussed in “The truth about information governance and the cloud,” most organizations will be confronted with the challenging task of reconciling their legacy on-premises data with new, third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
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IBM
Published By: Oracle     Published Date: Jul 31, 2017
Consolidation in the healthcare industry has reached a record pace. The volume of organizational change has generated solid templates and best practices for change management. In addition, technological advances provide opportunities for sophisticated data analytics and systems integrations. By identifying and taking advantage of these technologies, healthcare organizations can increase the odds of successful integrations that result in greater agility decrease their cost base, and improve the quality of care they provide.
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Oracle
Published By: IBM     Published Date: Jan 19, 2017
The outcome of any big data analytics project, however, is only as good as the quality of the data being used. As big data analytics solutions have matured and as organizations have developed greater expertise with big data technologies he quality and trustworthiness of the data sources themselves are emerging as key concerns. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, analytics, ecm, data, big data, information governance, enterprise applications, data management, business technology
    
IBM
Published By: IBM     Published Date: May 23, 2017
This paper is on impact of the new features now available with version 11.1. It covers the use of DB2 within hybrid cloud environments.
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encryption, application development, operating system, market intelligence, data governance, data migration, data quality, ibm
    
IBM
Published By: IBM     Published Date: Aug 23, 2017
Banks today are continuously challenged to meet rigorous regulatory requirements. They must implement strict governance programs that enable them to comply with a wide variety of regulations stemming from the financial crisis that began in 2007, including the DoddFrank Act, Basel Committee on Banking Supervision regulations, the General Data Protection Regulation (GDPR), the Revised Payment Services Directive (PSD2) and the revised Markets in Financial Instruments Directive To keep pace with regulatory changes, many banks will need to reapportion their budgets to support the development of new systems and processes. Regulators continually indicate that the banks must be able to provide, secure and deliver high-quality information that is consistent and mature.
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risk mitigation, data aggregation, risk reporting, banking
    
IBM
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