data quality

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By: IBM     Published Date: Jul 09, 2018
As the information age matures, data has become the most powerful resource enterprises have at their disposal. Businesses have embraced digital transformation, often staking their reputations on insights extracted from collected data. While decision-makers hone in on hot topics like AI and the potential of data to drive businesses into the future, many underestimate the pitfalls of poor data governance. If business decision-makers can’t trust the data within their organization, how can stakeholders and customers know they are in good hands? Information that is not correctly distributed, or abandoned within an IT silo, can prove harmful to the integrity of business decisions. In search of instant analytical insights, businesses often prioritize data access and analysis over governance and quality. However, without ensuring the data is trustworthy, complete and consistent, leaders cannot be confident their decisions are rooted in facts and reality
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     IBM
By: Group M_IBM Q418     Published Date: Oct 15, 2018
The enterprise data warehouse (EDW) has been at the cornerstone of enterprise data strategies for over 20 years. EDW systems have traditionally been built on relatively costly hardware infrastructures. But ever-growing data volume and increasingly complex processing have raised the cost of EDW software and hardware licenses while impacting the performance needed for analytic insights. Organizations can now use EDW offloading and optimization techniques to reduce costs of storing, processing and analyzing large volumes of data. Getting data governance right is critical to your business success. That means ensuring your data is clean, of excellent quality, and of verifiable lineage. Such governance principles can be applied in Hadoop-like environments. Hadoop is designed to store, process and analyze large volumes of data at significantly lower cost than a data warehouse. But to get the return on investment, you must infuse data governance processes as part of offloading.
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     Group M_IBM Q418
By: Group M_IBM Q119     Published Date: Jan 08, 2019
The discipline of data quality assurance ensures that data is "fit for purpose" in the context of existing business operations, analytics and emerging digital business scenarios. It covers much more than just technology. It includes program management, roles, organizational structures, use cases and processes (such as those for monitoring, reporting and remediating data quality issues). It is also linked to broader initiatives in the field of enterprise information management (EIM), including information governance and master data management (MDM)
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     Group M_IBM Q119
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
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.
Tags : cyrusone, data, technology, productivity, engineering
     CyrusOne
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.
Tags : white paper, homegrown, erp software, erp software solution, data management, data quality, data duplication, data knowledge, business technology
     Epicor
By: BMC ESM     Published Date: Aug 20, 2009
Automating your data center can improve operational efficiency and give you control over service quality, security, and business agility, while simultaneously reducing risk and costs.
Tags : data center, operational efficiency, service, security, business agility, automation, bmc, esm, virtualization, it infrastructure, it management, enterprise applications
     BMC ESM
By: SAS     Published Date: Sep 19, 2018
We are offering this second edition resource as a business oriented, working guide to core data management practices. In this ebook you will find easy to digest resources on the value and importance of data preparation, data governance, data integration, data quality, data federation, streaming data, and master data management.
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     SAS
By: MarkLogic     Published Date: Mar 29, 2018
It’s your golden opportunity: Rapidly integrate and harmonize data silos. Enhance drug discovery. Achieve faster time to insight. Get to market faster — all with less cost than you think. Explore how Life Sciences organizations can accelerate Real World Evidence (RWE) in a comprehensive and cost efficient manner. Download this white paper to learn about challenges, solutions and most importantly — how to equip your organization for success.
Tags : manufacturers, organizations, integration, optimization, data, quality
     MarkLogic
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
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
By: VMware     Published Date: May 10, 2017
What is a digital workspace and what does it take to create one? If we break it down, the workspace is a portal for end users into all of their apps and online services that they canseamlessly and securely access across devices and locations. But what makes the workspace of today different from the desktop or mobile device of the past? And how can you move forward with delivering a digital workspace? Download this solution brief to learn how VMware® Workspace™ ONE™is designed to deliver a digital workspace that integrates device management, application delivery, and identity management into a single platform on your terms, via your data center, in the cloud, or through a combination of the two. This workspace can be accessed by your end users across devices and locations and be centrally secured and supported to streamline management and improve the quality of services you deliver across the entire organization.
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     VMware
By: Juniper Networks     Published Date: Aug 08, 2017
How will you choose a network solution for your data center to deliver the right blend of performance and cost efficiency? Performance isn’t just throughput. It’s also the intelligence to support your applications with a high quality of experience.
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     Juniper Networks
By: Epicor Software Corporation     Published Date: Apr 12, 2017
An Enterprise Resource Planning (ERP) system is a series of software applications or modules that collects data from your sales, purchasing, finance, inventory, supply chain, manufacturing and quality functions into a common database so that your company can share the information, coordinate activities and collaborate. If you’re looking for your first ERP system or looking to upgrade from an existing system, the evaluation, selection and implementation process is a long-term strategic decision for your organization.
Tags : data management, data system, business development, software integration, resource planning, enterprise management, data collection
     Epicor Software Corporation
By: Progress     Published Date: Jan 22, 2019
The customer experience is incredibly important to business success and is often tied to customer engagement, retention rates, revenue, purchase frequency and overall loyalty. Today, the customer journey is incredibly complex, with everything from geographic location to data quality influencing the customer experience. As a result, brands may not be making the most of their customer experiences.
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     Progress
By: Alteryx, Inc.     Published Date: Sep 06, 2017
From small organizations using spreadsheets and visual discovery tools to large enterprises trying to improve data quality and delivery, data preparation difficulties are a major concern. Download your complimentary copy of the full report so you can tackle your data preparation challenges.
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     Alteryx, Inc.
By: TIBCO Software EMEA     Published Date: Sep 12, 2018
By processing real-time data from machine sensors using artificial intelligence and machine learning, it’s possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield. Read about our top data science best practices for becoming a smart manufacturer.
Tags : inter-company connectivity, real-time tracking, automate analytic models, efficient analytics, collaboration
     TIBCO Software EMEA
By: TIBCO Software EMEA     Published Date: Feb 01, 2019
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and no need to rework faulty products. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
Tags : data, product, manufacturers, manufacturing, processes, technologies, analysis, quality, machine, analytics
     TIBCO Software EMEA
By: GrowthIntel - INT     Published Date: Jul 06, 2017
It takes a lot of money and resource to recruit and train new, talented telemarketing agents. So what can businesses do to keep their telemarketing teams focused and happy? This ebook provides guidance on: • Which KPIs to track • The best way to structure a bonus plan • How to retain your best agents It also lists the questions you should ask when selecting a telemarketing agency.
Tags : customer acquisition, data updates, call quality, results, team culture, long term career prospects, employee, kpi
     GrowthIntel - INT
By: SAP Inc.     Published Date: Jul 28, 2009
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company as a whole.
Tags : roi, data quality, sap, return-on-investment, crm, erp, enterprise resource management, customer relationship management, crm, business intelligence, referential integrity, sql, data quality scoring, target marketing, enterprise applications, data management
     SAP Inc.
By: SAP Inc.     Published Date: Jul 28, 2009
In this paper, Frank Dravis, Six Factors Consulting, discusses how even with the finest marketing organizations, the success of marketing ultimately comes down to the data.
Tags : single platform, data integration, data quality, quality management, soa, architecture, soa, sap businessobjects data services, platform, sap, service-oriented architecture, xl 3.0, data management, developer, source, data integration, business intelligence, legacy, crm, customer relationship management
     SAP Inc.
By: Experian QAS     Published Date: Feb 25, 2013
Gain insight into the data quality trends as represented by the top e-commerce and m-commerce performers. Download the 2013 benchmark report to find the continued and emerging trends around address and email verification.
Tags : e-commerce, m-commerce, data quality, customer data verification
     Experian QAS
By: Experian QAS     Published Date: Feb 25, 2013
According to a recent Experian QAS survey, 94% of respondents think that they have inaccurate customer data. Find out how respondents perceive data quality and how existing data errors affect the business and particularly the customer experience.
Tags : customer-centric, customer experience, data quality, customer data
     Experian QAS
By: Experian QAS     Published Date: Feb 25, 2013
An omnichannel customer experience is more important than ever before. However, this new customer-centric approach requires accurate data in order to be successful. Find out how organizations approach data quality in the changing retail environment.
Tags : omnichannel, data quality, customer experience, customer data
     Experian QAS
By: Tripp Lite     Published Date: Jun 28, 2018
One of the fundamental decisions in the design of data centers, server rooms and network closets is which uninterruptible power supply (UPS) systems to use. You cannot be certain that the power you receive from your local utility will be suitable for your equipment, or that it will always be available. And even when you are receiving good-quality power from the utility, equipment inside your facility (such as electric motors) can introduce power problems. A network/server UPS system conditions input power 24x7 to ensure that your equipment always receives reliable power and protection from damaging and disruptive power problems. A network/server UPS system also supports your equipment during power failures, providing enough battery backup runtime to outlast shorter outages. During longer outages, the UPS system will provide enough runtime to save files and gracefully shut down systems or to ensure that equipment is powered until standby generators are ready to support the load. Choosi
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     Tripp Lite
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