data quality

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Published By: Limelight Networks     Published Date: Mar 02, 2018
Today, digital security is top-of-mind. From the boardroom to the backroom, everyone is asking the same questions, “How do we protect our digital experiences? How do we ensure our website is safe for our visitors? How do we make sure that no one can steal our content?” But safeguarding a digital experience isn’t a one-size-fits-all solution. It often involves multiple techniques and layers of security. From verifying your identity (with HTTPS) to encrypting sensitive data to restricting access and protecting multimedia content, you must approach security in a layered manner, employing multiple means and techniques to protect the digital content through which your audience interacts. This paper explores ten different methods and technologies that an organization can employ to protect its content. This multi-layered approach can effectively protect your digital content, ensure high availability, and maintain superior quality of experience for every digital visitor. You’ll learn: 10 s
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Limelight Networks
Published By: Limelight Networks     Published Date: Mar 02, 2018
Today, digital security is top-of-mind. From the boardroom to the backroom, everyone is asking the same questions, “How do we protect our digital experiences? How do we ensure our website is safe for our visitors? How do we make sure that no one can steal our content?” But safeguarding a digital experience isn’t a one-size-fits-all solution. It often involves multiple techniques and layers of security. From verifying your identity (with HTTPS) to encrypting sensitive data to restricting access and protecting multimedia content, you must approach security in a layered manner, employing multiple means and techniques to protect the digital content through which your audience interacts. This paper explores ten different methods and technologies that an organization can employ to protect its content. This multi-layered approach can effectively protect your digital content, ensure high availability, and maintain superior quality of experience for every digital visitor. You’ll learn: 10 s
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content delivery network, cdn, cybersecurity, ddos, waf, web application firewall, distributed denial of service attacks, cloud security, digital rights management
    
Limelight Networks
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
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
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
    
IBM
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
    
Unitrends
Published By: HP Data Center     Published Date: Apr 16, 2009
This paper examines both the centralized WLAN switch architecture and the optimized WLAN architecture, so that the wireless network choice an organization makes today will protect its investment and allow it to experience the substantial benefits of 802.11 for years to come.
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hp data center, 802.11n, architectural evolution, wlan, lan, scalability, collaboration, wireless, wireless networks, high-bandwidth, access points, aps, quality of service, qos, rf configuration, infrastructure, lan backbone, bottleneck, hp procurve, network architecture
    
HP Data Center
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, business technology
    
Epicor
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
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: IBM     Published Date: Oct 13, 2017
Analytics is game-changing and can produce valuable insights from the ever-growing volume, velocity and variety of data. Business Intelligence (BI) provides the foundation for many types of Analytics. It enables companies to deliver exceptional customer experience, enhance marketing effectiveness, increase operational efficiencies, reduce financial risks, improve product quality and reliability, and so on. But businesses are also challenged to generate timecritical actionable insights and make a compelling financial business case for BI investments.
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ibm, cognos analytics, business intelligence, customer experience, marketing
    
IBM
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
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
Published By: Oracle     Published Date: Nov 27, 2013
You need an answer fast. You searched online and almost got the answer, but require a little more information without having to call someone. What do you do? Fortunately, in today's customer service world, there are options. Download this White Paper for more information.
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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, business technology
    
Oracle
Published By: Oracle     Published Date: Nov 27, 2013
You need an answer fast. You searched online and almost got the answer, but require a little more information without having to call someone. What do you do? Fortunately, in today's customer service world, there are options. Download this White Paper for more information.
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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: 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: 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
    
SAP
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
    
Adobe
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
    
CyrusOne
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: 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: 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
    
IBM
Published By: DataFlux     Published Date: Jan 07, 2011
This white paper, the first in a sequence, addresses the question, "who, specifically, are those right groups and right people?" on several different levels. It also highlights underlying principles that, properly applied, lead to solid answers to the "who" questions for a wide variety of scenarios.
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dataflux, data agenda, data quality, governance, analytics, measurement and reporting, automation
    
DataFlux
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
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