quality data

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5 Data management for analytics best practices

Published By: SAS     Published Date: Aug 28, 2018
“Unpolluted” data is core to a successful business – particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.
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SAS

5 Data management for analytics best practices  

Published By: SAS     Published Date: Mar 06, 2018
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility. SAS adheres to five data management best practices that support advanced analytics and deeper insights: • Simplify access to traditional and emerging data. • Strengthen the data scientist’s arsenal with advanced analytics techniques. • Scrub data to build quality into existing processes. • Shape data using flexible manipulation techniques. • Share metadata across data management and analytics domains.
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SAS

5 Important Steps to Successful Performance Management & BI An Analyst's Perspective

Published By: IBM     Published Date: Feb 02, 2009
Sign up for the webcast and you will learn: The strategic benefits of a robust information infrastructure for performance management, How to take immediate action if your operating reporting has data latency challenges, How to drive broader adoption in the business by addressing critical data challenges, Why the combination of IBM and Cognos, an IBM company, accelerates the delivery and quality of the information needed to drive business performance.
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ibm, business optimization, performance management, cognos, robust information infrastructure, data latency, data quality challenges, data fragmentation, critical data challenges, data management, data protection, data quality
    
IBM

7 Shortcuts to Losing Your Data (and Probably Your Job)

Published By: Unitrends     Published Date: May 18, 2010
This tongue in cheek white paper explores data loss from a contrarian point of view - exploring the top 7 shortcuts you can take to ensure that you lose your data. And since a fundamental responsibility of any information technology professional, as well as any C-level executive, is to ensure that the data upon which any company is created is protected - scrupulously following these shortcuts should also ensure that you lose not only your data but your job as well.
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unitrends, backup, data protection, data quality, server, replication, data loss, sox, backup and recovery, storage management
    
Unitrends

9 Reasons to Retire Your "Homegrown" ERP Software Solution Before It's Too Late

Published By: Epicor     Published Date: Aug 02, 2012
Risk-averse distributors may feel that the safest and simplest IT strategy is to stay with their existing "homegrown" enterprise resource planning (ERP) solution. But just as sticking your money under the mattress offers no protection against inflation, maintaining an outdated system can rob you of a distinct competitive advantage. Modern ERP systems offer so much more in terms of data access, technology advances, and standard operating procedures. And obtaining a solution from a leading ERP provider ensures that industry best practices and the experiences of other distributors and end users have been built in. Check out this new paper and learn more about the advantages of an integrated ERP over your homegrown system.
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white paper, homegrown, erp software, erp software solution, data management, data quality, data duplication, data knowledge, database development, data integration, data replication, database security, business technology
    
Epicor

A Beginner's Guide to Marketing Data Analytics

Published By: Adverity     Published Date: Jun 15, 2018
A Beginner's Guide to Marketing Data Analytics Marketing Data is big & highly fragmented Big data is messy. It’s scattered across platforms, it’s diverse, and in its raw form, it’s practically unusable. We know, it’s a painful truth. The fact of the matter is that having a lot of data doesn’t necessarily mean that you have the answers to your most pressing questions. Looking for the most relevant bits in your pile of big data is like looking for a needle in a haystack. But don't you worry - we are here to help. This handy e-book will give you a short overview what quality matters, why data is so important and what you need to pay attention to. Best thing is: getting this ebook is super easy. Just fill out the form to the right and voilá - your download is ready. Enjoy this read!
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marketing business intelligence, saas marketing optimization, measuring marketing performance, roi analytics, automated report generator, performance based marketing, online marketing data, roi metrics, marketing reports, roi reporting, reporting generator, automated reporting tool, marketing dashboard, marketing data, marketing intelligence, report software, marketing reporting, marketing metrics, performance marketing, marketing performance
    
Adverity

A Guide to an Integrated Approach to Today’s IT Issues

Published By: Oracle     Published Date: Nov 08, 2017
Digital developments are forever shaping the way we work, bringing new innovations through our office doors almost every day. These high-demand technologies have increased expectations, with organizations now having to drive business agility at unprecedented levels. Although we’re presented with enormous opportunity, we also face new obstacles that can block the path to success; obstacles such as the need to innovate quickly, keep costs down, and actively respond to competitive pressures.
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oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
    
Oracle

A guide to optimizing digital marketing performance through better data.

Published By: Claravine     Published Date: Jan 03, 2019
Marketers have long struggled with the simple task of knowing which marketing spend is truly effective, and how to optimize that spend. At the heart of the issue lies the challenge of ensuring the data quality and consistency exists to make decisions based on real intelligence. Why is this a problem? First, effective tracking is reliant on the consistent, complete application of campaign tracking codes and associated metadata, which has traditionally been a manual, ungoverned process. Adding to this complexity has been the dramatic expansion of digital marketing point solutions, and the disparate teams expected to execute across each of these channels and geographies. The result is what you would expect—highly inaccurate, incomplete, and inconsistent data that must be manually cleaned before reporting is possible. Fortunately a solution exists. Progressive marketing leaders are implementing Digital Experience Data Management (DXDM), ensuring the rich, consistent insights critical to ma
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Claravine

A Return to Fundamentals: Five Ways Mortgage Bankers Can Lower Costs

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

A Roadmap to Data Migration Success

Published By: SAP     Published Date: Feb 21, 2008
Many significant business initiatives and large IT projects depend upon a successful data migration. Your goal is to minimize as much risk as possible through effective planning and scoping. This paper will provide insight into what issues are unique to data migration projects and offer advice on how to best approach them.
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sap, data architect, data migration, business objects, information management software, bloor, sap r/3, application, enterprise applications, data quality management, master data management, mdm, extraction, transformation load, etl, migration, configuration management, database development, data integration, data center design and management
    
SAP

Aberdeen Customer Derivative

Published By: Adobe     Published Date: Nov 07, 2013
Aberdeen's Insights provide the analyst's perspective on the research as drawn from an aggregated view of research surveys, interviews, and data analysis.
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adobe, aberdeen group, analyst insight, technology tools, buying behavior, customer experience management, cem, buyer interactions, customer engagement programs, adobe customers outperform, company brand awareness, big data, structured data, data quality, data integration, customer segmentation, customer empowerment, quality of service, content management
    
Adobe

Ability to Build Hyper-Scale Data Centers at Hyper-Speed Helps Eliminate IT Expansion Risk

Published By: CyrusOne     Published Date: Jul 05, 2016
In June 2016, CyrusOne completed the Sterling II data center at its Northern Virginia campus. A custom facility featuring 220,000 square feet of space and 30 MW of power, Sterling II was built from the ground up and completed in only six months, shattering all previous data center construction records. The Sterling II facility represents a new standard in the building of enterpriselevel data centers, and confirms that CyrusOne can use the streamlined engineering elements and methods used to build Sterling II to build customized, quality data centers anywhere in the continental United States, with a similarly rapid time to completion.
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cyrusone, data, technology, productivity, engineering, best practices, business analytics, business intelligence, business management
    
CyrusOne

Accelerate Your Recruiting With Data-Driven Sourcing

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

Acquisition Evolved

Published By: Adobe     Published Date: Mar 03, 2017
Applying for and opening financial services accounts online is on the rise. And FSI marketers are feeling the pressure to make these new accounts higher quality. The Adobe guide, Acquisition Evolved, will give you three actionable ways to improve your ability to identify and convert high-value customers. Read the guide to learn: • The DNA of customer digital behavior • How to create unified customer segments with existing data • How to adopt onsite messaging to match offsite ads
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fsi, adobe, customer behavior, customer segments, data
    
Adobe

Adsquare case study

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

Advanced Global Name Recognition Technology

Published By: IBM     Published Date: Dec 12, 2006
The purpose of this paper is to highlight the issues, requirements, and technologies available for automated advanced name recognition.
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business process automation, data integration, data quality, information management, customer service, data management, enterprise software, contact management, marketing automation, crm, customer relationship management, ibm, identity management
    
IBM

Agile Enterprise Metadata Management

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.
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enterprise, metadata, management, organizations, technology, tools, mark logic
    
MarkLogic

Agile Enterprise Metadata Management

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.
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agile, enterprise, metadata, management, organization
    
MarkLogic

Analytics in Action in the Health and Life Sciences Ecosystem

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

Analytics in Action in the Health and Life Sciences Ecosystem

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

Application Software Testing: A Practical Guide to Improving Software Quality

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.
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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

Applied Pressure: The Strains on an Ailing Implantable Medical Device Supply Chain

Published By: UPS     Published Date: Sep 05, 2017
Our active and actively aging population is the dichotomy fueling significant growth for implantable medical devices. Innovations focused on mobility, engagement and quality of life are directly targeting this growing population. The implantable medical device industry is poised to capitalize on these unique needs, while simultaneously meeting unprecedented cost pressures. It is time for manufacturers to seek expertise in inventory management and logistics for greater visibility, control and profitability. For implantable medical device manufacturers to be as active and healthy as the patients they serve, their future depends on the ability to differentiate products — not only by price, but through cost, service and documented outcomes. New trends in personal health tracking keep patients moving, and data collection will similarly improve the health of your business.
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medical devices, inventory management, logistics, clinical outcomes data, ups
    
UPS

Are you a data driven marketer? Take this quick test and find out now.

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!
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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

Are you ready for Analytic's 3.0?

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.
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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, business activity monitoring, business analytics
    
SAS
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