data quality

Results 26 - 50 of 305Sort Results By: Published Date | Title | Company Name
Published By: MarkLogic     Published Date: Mar 29, 2018
Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.
Tags : 
enterprise, metadata, management, organizations, technology, tools, mark logic
    
MarkLogic
Published By: MarkLogic     Published Date: May 07, 2018
Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.
Tags : 
agile, enterprise, metadata, management, organization
    
MarkLogic
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.
Tags : 
    
SAS
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.
Tags : 
    
SAS
Published By: SoftLanding Systems     Published Date: Nov 18, 2006
This no-nonsense primer covers the benefits and basic principles of good testing, offers practical advice for getting the most out of your testing efforts, and pinpoints several areas where automation will help you achieve the most cost-effective results.
Tags : 
software testing, quality assurance, application testing, test and measurement, database development, quality assurance, scripting, software testing, web services, web service security, softlanding, soft landing, software development
    
SoftLanding Systems
Published By: NetProspex     Published Date: May 12, 2014
Only 8% of marketers classified their lead gen efforts as "very successful". Check ot the latest research on what successful lead generation will look like in 2014. See how you compare by taking the survey and then downloading the report!
Tags : 
marketing data services, marketing data management, marketing data quality, installed technology list, international contact data, business contact list, marketing database cleansing, marketing database services, database cleansing, b2b data cleansing, b2b data quality, b2b contact database, business contact database, b2b technology data, global contact list, marketo data quality, eloqua data quality, marketo database cleaning, eloqua database cleaning, marketing data enrichment
    
NetProspex
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.
Tags : 
sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics, analytics, analytical study, visualization deployment, deployment, institute for analytics
    
SAS
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."
Tags : 
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: Cisco     Published Date: Jul 11, 2016
Cisco estimates that the Internet of Everything (IoE) — the networked connection of people, process, data, and things — will generate $19 trillion in Value at Stake for the private and public sectors combined between 2013 and 2022. More than 42 percent of this value — $8 trillion — will come from one of IoE’s chief enablers, the Internet of Things (IoT). Defined by Cisco as “the intelligent connectivity of physical devices, driving massive gains in efficiency, business growth, and quality of life,” IoT often represents the quickest path to IoE value for private and public sector organizations. This paper combines original and secondary research, as well as economic analysis, to provide a roadmap for maximizing value from IoT investments. It also explains why, in the worlds of IoT and IoE, the combination of edge computing/analytics and data center/cloud is essential to driving actionable insights that produce improved business outcomes.
Tags : 
    
Cisco
Published By: Neolane, Inc.     Published Date: Dec 30, 2008
The Hager Group is a $1.5-billion electronics manufacturer. With a distributed global workforce of more than 10,000 employees, Hager has 40 sales subsidiaries and 25 industrial sites worldwide.  Today, with a centralized marketing database and software, Hager can ensure data quality and deliver personalized, targeted communications according to customer and prospect profiles and behavior.  This program allows Hager to capture 1,000 new prospects each month, and achieve a 10 percent conversion rate - resulting in an incremental revenue increase of $42 million per year.
Tags : 
neolane, the hager group, e-marketing program, centralized marketing database, central repository customer data, crm software, custom content, deliverability, e-commerce, email marketing, emerging marketing, international marketing, lead generation, rich media
    
Neolane, Inc.
Published By: CA Technologies_Business_Automation     Published Date: Jun 29, 2018
Challenge It is not uncommon for SAP system copies, including any post-editing, to take several days to complete. Meanwhile, testing, development and training activities come to a standstill, and the large number of manual tasks in the entire process ties up highly skilled SAP BASIS staff. Opportunity Enterprises are looking to automation as a way to accelerate SAP system copies and free up staff. However, this is only one part of the problem: What further complicates the system copy process is the need to safeguard sensitive data and manage huge data volumes while also ensuring that the data used in non-production systems adequately reflects the data in production systems so the quality of development, testing and training activities is not compromised. Benefits This white paper explains how a considerable portion of the SAP system copy process can be automated using the CA Automic Automated System Copy for SAP solution and SNP T-Bone, helping enterprises become more agile.
Tags : 
    
CA Technologies_Business_Automation
Published By: IBM     Published Date: Mar 24, 2009
Electronics and Software Engineering are quickly merging with traditional Mechanical Engineering to create a new paradigm in auto manufacturing: Mechatronics. Industry experts predict that this shift will bring about profound advances in automotive product development. Unfortunately, existing IT and process infrastructures do not provide sufficient capabilities to support the new paradigm: multiple data silos, a lack of standardized processes, and integration issues on a tool level (Mechanical, Electronic, Software) continue to pose serious obstacles to development efficiency, and remain a frequent source of delays, quality issues and cost increases.
Tags : 
ibm, ibm telelogic, automotive system design, mechanical engineering, mechatronics, oems, electronic stability programs, esp, electric overlay steering, ancillary systems, active lighting, pdm, product data management, pcb-layout domains, ptc, automotive product development system, sourcing, engineering, engineering change orders, ecos
    
IBM
Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
Complexity, globalization and digitalization are just some of the elements at play in the risk landscape—and data is becoming a core part of understanding and navigating risk. How do modern finance leaders view, navigate and manage enterprise risk with data? Dun & Bradstreet surveyed global finance leaders across industries and business types. Here are the top trends that emerged from the study: 1. The Enterprise Risk & Strategy Disconnect—Finance leaders are using data and managing risk programs, but over 65% of finance leaders say there’s missing link between risk and strategy. 2. The Risks of the Use and Misuse of Data—Up to 50% of the data used to manage modern risk is disconnected. Only 15% of leaders are confident about the quality of their data. 3. Risky Relationships—Only 20% of finance leaders say the data they use to manage risk is fully integrated and shared. Download the study to learn how finance leaders are approaching data and enterprise risk management
Tags : 
    
Dun & Bradstreet
Published By: SugarCRM     Published Date: Nov 20, 2013
Organizations are frequently turning to SaaS solutions for their CRM needs. But there are risks when deploying any solution at scale, especially if you select the wrong vendor. Understand how to make the smart choice for your CRM solution in this informative eBook.
Tags : 
crm best practices, crm software, customer data management, customer experience & engagement, customer relationship management (crm), lead generation, lead management, lead nurturing, lead quality, lead scoring, sales automation, sales channels, sales force automation, sales management
    
SugarCRM
Published By: SugarCRM     Published Date: Apr 08, 2014
Organizations are frequently turning to SaaS solutions for their CRM needs. But there are risks when deploying any solution at scale, especially if you select the wrong vendor. Understand how to make the smart choice for your CRM solution in this informative eBook.
Tags : 
crm best practices, crm software, customer data management, customer experience & engagement, customer relationship management (crm), lead generation, lead management, lead nurturing, lead quality, lead scoring, sales automation, sales channels, sales force automation, sales management
    
SugarCRM
Published By: TIBCO Software     Published Date: Jan 17, 2019
2x faster time to market, single view of a client, improved data quality
Tags : 
data, client, virtualization, software, quality, distribution, bank, access, customer
    
TIBCO Software
Published By: Oracle     Published Date: Nov 27, 2013
According to Forrester, 72% of customers prefer using a company’s Website to answer their questions. But only 52.4% find the information they need online. Customers want to solve their issues quickly and easily on the Web. When they can, they are likely to buy more, with 88% saying they will increase their spending. Download this White Paper for more information.
Tags : 
crm best practices, crm software, customer data management, customer experience & engagement, customer relationship management (crm), lead generation, lead management, lead nurturing, lead quality, lead scoring, sales automation, sales channels, sales force automation, sales management, knowledge management
    
Oracle
Published By: Oracle     Published Date: Nov 27, 2013
According to Forrester, 72% of customers prefer using a company’s Website to answer their questions. But only 52.4% find the information they need online. Customers want to solve their issues quickly and easily on the Web. When they can, they are likely to buy more, with 88% saying they will increase their spending. Download this White Paper for more information.
Tags : 
crm best practices, crm software, customer data management, customer experience & engagement, customer relationship management (crm), lead generation, lead management, lead nurturing, lead quality, lead scoring, sales automation, sales channels, sales force automation, sales management, knowledge management
    
Oracle
Published By: IBM     Published Date: Dec 30, 2008
Does your business need to safeguard information, keep auditors and regulators satisfied, and improve data quality? Data governance is the answer. This informative video outlines the latest challenges and best practices in data governance. IBM data governance solutions help businesses with:• Audit and reporting • Data architecture/infrastructure • Data quality • Information lifecyle management • Metadata/business glossaries • Organizational design/development • Policy/risk management • Security/privacy/compliance • Stewardship/value creation
Tags : 
ibm, data governance, safeguard information, data quality, data architecture, data infrastructure, information lifecycle management, metadata, business glossaries, organizational design, organizational development, policy management, risk management, security, privacy, compliance, stewardship, value creation, enterprise applications, data management
    
IBM
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.
Tags : 
sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics, business relevance, visualization deployment, deployment, institute for analytics, data center
    
SAS
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.
Tags : 
    
Tricentis
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.
Tags : 
    
Flexera
Published By: SAS     Published Date: Mar 01, 2012
Learn what criteria distinguished certain companies as top performers within the SMB sector, the factors to consider when assessing your organization's BI competency and the required actions to achieve best-in-class performance.
Tags : 
sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics, it management, ondemand solutions, performance management, risk management, sas® 9.3, supply chain intelligence, sustainability management, business intelligence, michael lock, predictive analytics, business insight, business visibility
    
SAS
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.
Tags : 
ibm, idc, big data, data, analytics, information governance, knowledge management, data management, data center
    
IBM
Published By: IBM     Published Date: Oct 18, 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.
Tags : 
ibm, idc, big data, data, analytics, information governance, knowledge management, enterprise applications, data management, data center
    
IBM
Start   Previous    1 2 3 4 5 6 7 8 9 10 11 12 13    Next    End
Search Research Library      

Add Research

Get your company's research in the hands of targeted business professionals.

“I am the Inspector Morse of IT journalism. I haven't a clue. D'oh” - Mike Magee