data quality

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By: Tripp Lite     Published Date: Jun 28, 2018
When youre designing a data center, server room or network closet, deciding which racks to deploy and how to configure them should be at the top of your list. Just like building a house, the surface details may steal the spotlight, but its the quality of the underlying foundation that makes the difference between success and frustration. Racks organize IT equipment, such as servers and network switches, into standardized assemblies that make efficient use of space and other resources. Depending on the options you choose, they can also improve power protection, cooling, cable management, device management, physical security, mobility, ease of installation and protection from harsh environmental conditions. Choosing the right racks and configuring them to match your needs will ensure that your IT equipment operates reliably and efficiently, saving your organization from costly downtime and other needless expenses.
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     Tripp Lite
By: CA Technologies     Published Date: Jun 03, 2015
The complexity and high level of integration inherent in SAP environments can make development especially challenging and increase the time required to bring solutions to market. Persistent development and test challenges include unavailable systems, inability to accurately model performance and complex test data requirements. By employing service virtualization to model the core business logic in SAP systems and integrations, teams can free themselves of these constraints, leading to faster build and test cycles, better quality and lower cost.
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     CA Technologies
By: AWS     Published Date: Aug 01, 2018
Learn more about the AWS Partner Webinar Series at - https://amzn.to/2ILG0R7. Join our webinar to hear how Lyft and other data-driven organizations benefit from uncovering hidden insights in real time with AI solutions from Amazon Web Services (AWS) and Anodot. Learn how to prevent events that can impact your revenue and brand integrity with a solution that detects anomalies quickly, allowing you to address issues in a timely manner to help ensure a consistently high-quality experience for your customers.
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     AWS
By: Jebbit     Published Date: Jun 12, 2018
As marketers, we use data at every level, from determining Facebook targeting to timing a major product launch. But how often do we take a look under the hood at the quality and usefulness of our data? In this playbook, well cover the strengths and weaknesses of third-party, second-party, and first-party data and where declared data fits into the current data landscape. Youll learn plays for activating declared data for: Qualified lead generation 1-to-1 email personalization Custom audiences and personalized retargeting Audience building and profiling In this section, well cover the definitions, sources, and strengths and weaknesses of third-, second-, and first-party data.
Tags : data, jebbit, remarketing, audiences, omnichannel
     Jebbit
By: CA Technologies EMEA     Published Date: Apr 10, 2018
Effective Competition Depends on Continuous Delivery of Quality Software In todays application economy every company is a software company, no matter what industry it is in: Shipping companies depend on logistics software to efficiently route packages, arrange drivers and automate warehouses. Retail companies rely on software to manage inventory, engage with customers online and to give in-store associates the tools they need to answer customer questions on the spot. Marketing firms lean on applications to gather consumer data and parse it, automate communication with prospects and effectively manage advertising campaigns. The examples are endless. The point is that in order to compete today, every business must be able to quickly build and tweak software to adjust to always evolving market demands. Ultimately, business success depends on faster development iterations while still maintaining the high quality of service expected by customers, stakeholders and end users.
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     CA Technologies EMEA
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.
Tags : 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
By: Netezza IBM US     Published Date: Feb 29, 2012
This white paper details seven steps that are critical for delivering big data projects that can be undertaken to turn the flood of data into an advantage, and truly understand one's network and one's customers, while turning up profitability.
Tags : network, network analytics, data management, customer relation, data projects, customer satisfaction, data quality
     Netezza IBM US
By: STARLIMS     Published Date: Apr 16, 2014
Learn how a Laboratory Information Management System can improve trace evidence management in the crime lab, but will also help analysts with data entry, documentation, and quality control.
Tags : starlims, lims, trace evidence management, crime lab, quality control, it management, data management
     STARLIMS
By: BusinessOnLine     Published Date: Jun 19, 2015
As company buying behaviors evolve, it's imperative to evolve your marketing strategies to align with the new marketplace. Luckily, with customer data becoming more and more available, smart industrial marketers are armed with high-quality proof points to establish efficient and effective programs that prove and improve marketing ROI.
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     BusinessOnLine
By: Talend     Published Date: Nov 02, 2018
Siloed data sources, duplicate entries, data breach riskhow can you scale data quality for ingestion and transformation at big data volumes? Data and analytics capabilities are firmly at the top of CEOs investment priorities. Whether you need to make the case for data quality to your c-level or you are responsible for implementing it, the Definitive Guide to Data Quality can help. Download the Definitive Guide to learn how to: Stop bad data before it enters your system Create systems and workflow to manage clean data ingestion and transformation at scale Make the case for the right data quality tools for business insight
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     Talend
By: Oracle HCM Cloud     Published Date: May 25, 2017
The changing healthcare environment means that both payers and providers must use all of their available data to ensure that employee productivity goals are met, members and patients receive high-quality service, and compliance is maintained. Unfortunately, many organizations face challenges with disparate systems providing inconsistent data. Find out how leading healthcare organizations are integrating HR and finance systems for one source of truth, and in turn enabling better decisions.
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     Oracle HCM Cloud
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 IoEs 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.
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     Cisco
By: SRC,LLC     Published Date: Jun 01, 2009
To mine raw data and extract crucial insights, business decision‐makers need fast and comprehensive access to all the information stored across their enterprise, regardless of its format or location. Furthermore, that data must be organized, analyzed and visualized in ways that permit easy interpretation of market opportunities growth, shifts and trends and the business‐process changes required to address them. Gaining a true perspective on an organization’s customer base, market area or potential expansion can be a challenging task, because companies use so many relational databases, data warehouse technologies, mapping systems and ad hoc data repositories to gather and house information for a wide variety of specialized purposes.
Tags : src, enterprise, enterprise applications, convergence, compared, counted, combined, reorganized, analyzed, visualized, mapped, database, gis, geographic business intelligence, data independence, etl, csv, delimited text file, mdb (both for microsoft access, esri personal geodatabase
     SRC,LLC
By: iKnowtion     Published Date: Nov 09, 2011
Data quality is a key component for optimum customer communications programs. Find out how to determine whether you have appropriate tools in place to support current and future marketing analysis functions.
Tags : crm strategies, data quality, marketing analysis, customer communications, analytics, iknowtion
     iKnowtion
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.
Tags : dataflux, data agenda, data quality, governance, analytics, measurement and reporting, automation
     DataFlux
By: DataFlux     Published Date: Jan 07, 2011
This white paper describes a general approach for planning your organization's efforts to improve data quality, providing a data-example-driven perspective of some of the unique challenges of product data quality, as well as discuss and demonstrate three critical steps to improving product data quality.
Tags : dataflux, product data quality, standardization, matching
     DataFlux
By: OpenText     Published Date: May 15, 2012
Featured in SharePoint Pro magazine online, the OpenText white paper Extending SharePoint Across Your Information Architecture, by leading SharePoint consultant Colin Spence, offers valuable insights and best practices for integrating SharePoint with your full enterprise application environment.
Tags : opentext, sharepoint, technology, buesiness, business information, it management, data quality, business technology
     OpenText
By: Payscale, Inc     Published Date: Apr 04, 2018
Prior to using PayScale, each customer set compensation ranges through a mix of gut feel and resource-heavy compensation data management. Resource constraints lengthened compensation review cycles that resulted in either abbreviated cycles or multiyear review gaps. Incomplete compensation reviews and poor data quality led to more compensationrelated issues with current employees and prospective recruits: longer recruitment cycle times, higher recruiting costs, reduced employee satisfaction, and increased turnover.
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     Payscale, Inc
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.
Tags : ibm, cognos analytics, business intelligence, customer experience, marketing
     IBM
By: Riverbed DE     Published Date: Oct 16, 2017
What is the key benefit of SD-WAN? To provide seamless access to digital services for end-users. But IT is more distributed, fragmentary, and dynamic than ever, with hybrid apps, hybrid networks, and remote and mobile users everywhere. Hardware-bound legacy networks can never fulfill the promise of seamless access. Taming the chaos of todays IT requires a new approach to networking. This is the promise of software-defined wide area networks (SD-WAN)the ability to use plain-language business policies to automate and orchestrate all the components of digital access. Read this white paper to learn how SD-WAN lets you: Manage centrally from a cloud console with a comprehensive view of your connectivity fabric that spans and unifies datacenter/cloud apps, branch/mobile users, and enterprise/cloud networks. Orchestrate globally using business policy-based automation to define quality of service and access privileges for all apps/users. Deploy locally with zero touch via automated
Tags : cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
     Riverbed DE
By: Microsoft     Published Date: Jul 20, 2018
This guide presents a structured approach for designing cloud applications that are scalable, resilient, and highly available. The guidance in this ebook is intended to help your architectural decisions regardless of your cloud platform, though we will be using Azure so we can share the best practices that we have learned from many years of customer engagements. In the following chapters, we will guide you through a selection of important considerations and resources to help determine the best approach for your cloud application: 1. Choosing the right architecture style for your application based on the kind of solution you are building. 2. Choosing the most appropriate compute and data store technologies. 3. Incorporating the ten high-level design principles to ensure your application is scalable, resilient, and manageable. 4. Utilizing the five pillars of software quality to build a successful cloud application. 5. Applying design patterns specific to the problem you are trying to
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     Microsoft
By: Vertica     Published Date: Jul 23, 2008
Read how Comcast, the largest cable communications company in the U.S., is using Vertica Analytic DBMS able to quickly collect and analyze data being generated by millions of network devices to ensure quality of service and accuracy of capacity planning to ensure a consistently good customer experience.
Tags : vertica, comcast, data analysis, proliant, rdmbs, networking, telecommunications
     Vertica
By: Trillium Software     Published Date: May 19, 2011
Effective CRM demands a single, complete, accurate view of customer information including purchasing history, product interest, and support interactions. Enterprises require a solution to discover data issues, correct and standardize, and maintain data accuracy and consistency.
Tags : trillium software, single customer view, data quality, crm, customer relationship management, high-quality data, erp, mdm, soa
     Trillium Software
By: Trillium Software     Published Date: Jun 06, 2011
The first Web seminar in the series is titled "Operational Data Quality: Get the Data Right the First Time" and will be conducted by Ed Wrazen, vice president of product marketing at Trillium Software.
Tags : trillium software, operational data quality, ed wrazen, operational system, business solutions, organization data quality, enterprise information
     Trillium Software
By: Trillium Software     Published Date: Jun 06, 2011
Hear Andy Hayler from the Information Difference discuss these challenges as he presents the findings of his research report, "Building a Robust Business Case for High Quality Master Data".
Tags : trillium software, operational data quality, mdm solution, business case, andy hayler, high quality master data, post-implementation review
     Trillium Software
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