data quality

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Published By: SugarCRM     Published Date: Jan 07, 2015
The way companies use and pay for customer relationship management (CRM) software has changed significantly over the past decade. Moving from a predominantly perpetual license-based system, where companies paid a large up-front sum and then smaller annual maintenance fees, CRM software providers are now moving towards monthly or annual subscription fees to access CRM software on the Internet.
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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, networking
    
SugarCRM
Published By: Oracle     Published Date: Dec 11, 2014
"Tips and tricks from the experts: How to ensure a smooth marketing automation software implementation. This guide will give you the top seven steps you must take before implementing any marketing automation software solution. From team formation and alignment to system integration and training, this is a must read for the concerned project manager or IT professional. Read: “Managing a Smooth Marketing Automation Software Implementation”"
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oracle, eloqua, marketing automation, crm, intelligent integration, data quality, networking, software development, it management, knowledge management, enterprise applications, data management, human resource technology, business technology, data center
    
Oracle
Published By: Plex Systems     Published Date: Aug 15, 2014
There has been no shortage of high profile recalls over the past several years. Suppliers are being required to provide more robust quality management systems, provide better real-time visablity into manufacturing data, and may even be held accountable for additional charge-back and warranty claims. Take a next generation approach to quality management.
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networking
    
Plex Systems
Published By: Dell Software     Published Date: Aug 07, 2014
See why Dell Boomi is named a Leader in the Gartner Magic Quadrant for Enterprise Integration Platform as a Service (iPaaS). Plus, discover how iPaaS can help you optimize key business processes.
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data, data quality, support, integration, cloud, it management, data management
    
Dell Software
Published By: HP     Published Date: Jul 22, 2014
HP offers an approach to the modern data center that addresses systemic limitations in storage by offering Tier-1 solutions designed to deliver the highest levels of flexibility, scalability, performance, and quality—including purpose-built, all-flash arrays that are flash-optimized without being flash-limited. This white paper describes how, through the incorporation of total quality management throughout each process and stage of development, HP delivers solutions that exceed customer quality expectations, using HP 3PAR StoreServ Storage as an example.
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3par, storeserv, storage, data, solutions, flash, data management, business technology
    
HP
Published By: IBM     Published Date: May 28, 2014
Read the whitepaper to find out how one client improved business value of their data by implementing InfoSphere Optim processes and technologies.
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ibm, data lifecycle management, infosphere optim, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility, performance requirements, hadoop, scalability, data integration, big data projects, high-quality data, leverage data replication, data persistence, virtualize data, lifecycle management
    
IBM
Published By: IBM     Published Date: May 28, 2014
Different types of data have different data retention requirements. In establishing information governance and database archiving policies, take a holistic approach by understanding where the data exists, classifying the data, and archiving the data. IBM InfoSphere Optim™ Archive solution can help enterprises manage and support data retention policies by archiving historical data and storing that data in its original business context, all while controlling growing data volumes and improving application performance. This approach helps support long-term data retention by archiving data in a way that allows it to be accessed independently of the original application.
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ibm, data retention, information governance, archiving, historical data, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility, performance requirements, hadoop, scalability, data integration, big data projects, high-quality data, leverage data replication, data persistence
    
IBM
Published By: NetProspex     Published Date: May 12, 2014
NetProspex analyzed the success rate of hundreds of email open rates and thousands of phone calls. The statistics proved that trigger-based emails had significantly higher conversion rates, but email sent on optimized days also did well. Download this guide on the best days to send emails.
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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
Published By: NetProspex     Published Date: May 12, 2014
While collecting marketing data is easy, that data is not cast in stone. Securing a marketing data management plan that you can rely on is imperative. This guide provides actionable steps to clean up your data and increase conversions.
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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
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
Published By: IBM     Published Date: May 02, 2014
The end-to-end information integration capabilities of IBM® InfoSphere® Information Server are designed to help organizations understand, cleanse, monitor, transform and deliver data—as well as collaborate to bridge the gap between business and IT.
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ibm, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility, performance requirements, hadoop, scalability, data integration, big data projects, high-quality data, leverage data replication, data persistence, virtualize data, it management, data management, data center
    
IBM
Published By: IBM     Published Date: May 02, 2014
This eBookoutlines the best practices for data lifecycle management and how InfoSphere Optimsolutions enable organizations to support and implement them.
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ibm, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility, performance requirements, hadoop, scalability, data integration, big data projects, high-quality data, leverage data replication, data persistence, virtualize data, lifecycle management, big data strategy, it management
    
IBM
Published 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.
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starlims, lims, trace evidence management, crime lab, quality control, it management, data management
    
STARLIMS
Published By: SugarCRM     Published Date: Apr 08, 2014
CRM has long been seen as a must-have sales tool. However, much of the value of traditional CRM accrues to managers, not the reps that use them daily. Learn how CRM designed for the individual benefits the entire sales organization from increased data quality to more predictable revenue pipelines.
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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
    
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.
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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
    
SugarCRM
Published By: SugarCRM     Published Date: Apr 08, 2014
CRM wurde lange als unabdingbares Vertriebs-Tool angesehen. Von den Vorteilen traditioneller CRM-Systeme profitierte jedoch hauptsächlich das Management anstatt die CRM-Nutzer an vorderster Front. Ein CRM für das Individuum kommt der gesamten Vertriebsorganisation zugute – ohne steigende Kosten.
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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
    
SugarCRM
Published By: SugarCRM     Published Date: Apr 08, 2014
Immer mehr Organisationen nutzen Software-as-a-Service- (SaaS) Lösungen wenn es um ihr Kundenbeziehungs-Management geht. dennoch gibt es Risiken, die man beachten
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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
    
SugarCRM
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
    
SAS
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.
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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, business relevance, visualization deployment, deployment, institute for analytics, data center
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
This report examines how data visualization can help organizations unleash the full value of information, and outlines key considerations to guide the solution evaluation process.
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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, business relevance, visualization deployment, deployment, institute for analytics, data center
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
Managing expectations before, during and after the adoption of visualization software is crucial. Users should know what the rollout process will look like and how it will take place, and have clear goals for using the tool. Make sure that the desired outcome isn’t just look-and-feel. Creating beautiful charts and graphs is not a substitute for practical business decisions.
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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, business relevance, visualization deployment, deployment, institute for analytics, data center
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
This paper explores ways to qualify data control and measures to support the governance program. It will examine how data management practitioners can define metrics that are relevant.
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sas, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics, business relevance, measured value, emergent patterns, quality metrics, potential classifications, data analyst, scorecard, reporting the scorecard, improve scorecard, business process
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
This paper will consider the relevance of measurement and monitoring – defining inspection routines, inserting them into the end-to-end application processing, and reporting the results.
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sas, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics, business relevance, measured value, emergent patterns, quality metrics, potential classifications, data analyst, scorecard, reporting the scorecard, improve scorecard, business process, data center
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
Jill Dyche and SpectraDynamo explains the importance of understanding how to manage data and issues regarding data categorization, retrieval and quality.
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sas, data categorization, retrieval and quality, spectradynamo, telemetry data, data governance program, data management, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics, business relevance, measured value, emergent patterns, quality metrics, data center
    
SAS
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