data quality

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Published By: ClearSlide, Inc     Published Date: Feb 25, 2015
Organizations treat customer data as a key component of CRM. Many organizations see an effective customer data management strategy as an important cornerstone of their CRM strategy. Most organizations are moving beyond tactical CRM initiatives focused on saving cost and driving efficiency to making their organization more effective and focused on driving better customer engagement and experience. Customer data is used to enhance customer experiences, improve service quality, target marketing efforts, capture customer sentiment, increase upsell opportunities and trigger product and service innovation.
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crm, big data, customer engagement, customer service
    
ClearSlide, Inc
Published By: Trillium Software     Published Date: May 19, 2011
This report provides recommendations for improving the quality of operational data, which in turn contributes to an organization's drive toward operational excellence.
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trillium software, tdwi checklist report, philip russom, operational data quality, opdq, analytic data, the data warehousing institute, enterprise data quality
    
Trillium Software
Published By: IBM     Published Date: Jun 04, 2018
"The appearance of your reports and dashboards – the actual visual appearance of your data analysis -- is important. An ugly or confusing report may be dismissed, even though it contains valuable insights about your data. Cognos Analytics has a long track record of high quality analytic insight, and now, we added a lot of new capabilities designed to help even novice users quickly and easily produce great-looking and consumable reports you can trust. Watch this webinar to learn: • How you can more effectively communicate with data. • What constitutes an intuitive and highly navigable report • How take advantage of some of the new capabilities in Cognos Analytics to create reports that are more compelling and understandable in less time. • Some of the new and exciting capabilities coming to Cognos Analytics in 2018 (hint: more intelligent capabilities with enhancements to Natural Language Processing, data discovery and Machine Learning)."
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data analysis, data analytics, dashboards
    
IBM
Published By: Adobe     Published Date: Apr 03, 2015
A lack of executive support and poor data quality are just some reasons why analytics programs fail. The guide by Adam Greco, Reenergize Your Web Analytics, identifies the key reasons for program failures and provides ten ways to make your analytics program successful. Read the guide to discover key ways to improve your analytics program, including: • How to deal with your stakeholders • How to set your analytics priorities • How to reap the rewards of change
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analytics program, stakeholders, adobe, marketing, personalization
    
Adobe
Published By: Procore     Published Date: May 13, 2019
As the construction industry becomes more competitive, regulations increase and skilled labour becomes more selective; the one thing that will define your company from the competition is your data. The best companies use real, situational data in pre-task analyses daily to report on and improve their Quality, Safety and Productivity processes and performance. Download your copy to learn: • The importance of including quality, safety and productivity in your pre-task analyses • Using the three-part task-analysis approach • How to collect meaningful data to track performance
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Procore
Published By: Zynapse     Published Date: Jun 16, 2010
Data Governance has emerged as the point of convergence for people, technology and process in order to manage the crucial data (information) of an enterprise. This is a vital link in the overall ongoing data management process for it maintains the quality of data and makes it available to a wide range of decision making hierarchy across an organization
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zynapse, erp projects, data information, data management, governance, mdm, master data management, odm
    
Zynapse
Published By: IBM     Published Date: Jan 09, 2014
According to Dr. Barry Devlin of 9sight Consulting, the truth behind all the talk about big data and the possibilities it can offer is not hard to see, provided that organizations are willing to return to the principles of good data management processes.
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ibm, big data, 9sight consulting, data, it management, maximize business, deployment, business opportunities, big data usage, data warehouse, data center, business analytics, big data offerings, core business data, analytic data, puredata system, data virtualization, data integration, data types, data quality
    
IBM
Published By: Equinix     Published Date: May 28, 2015
Changes in where traffic originates and how much data is generated will soon have profound effects on Internet latency and end-user quality of experience.
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data, generate data, host applications, ensure optimal performance, devices, mobile data, mobility, data traffic, data center, network, equinix, equinix solutions
    
Equinix
Published 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, we’ll cover the strengths and weaknesses of third-party, second-party, and first-party data and where declared data fits into the current data landscape. You’ll 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, we’ll cover the definitions, sources, and strengths and weaknesses of third-, second-, and first-party data.
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data, jebbit, remarketing, audiences, omnichannel
    
Jebbit
Published By: Talend     Published Date: Nov 02, 2018
Siloed data sources, duplicate entries, data breach risk—how 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
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: SAS     Published Date: Sep 13, 2013
If businesses are recognizing the need for a dial-tone approach to establishing “data utility” services for meeting user expectations for data accessibility, availability and quality, it is incumbent upon the information management practitioners to ensure that the organization is properly prepared, from both a policy/process level and a technology level.
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sas, cio, chief information officer, data utility, information management, software development
    
SAS
Published By: Progress     Published Date: Oct 09, 2017
"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. However, with a mix of new technology combined with best practices, companies can regain control of the customer journey and create memorable experiences for their customers. "
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Progress
Published 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
Published 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.
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manufacturers, organizations, integration, optimization, data, quality
    
MarkLogic
Published By: Trillium Software     Published Date: May 25, 2011
Why is it important to align the groups responsible for your critical business processes and your data management efforts? Learn how to create a partnership between business and IT to deliver higher value to your business.
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trillium software, data management, business process, rob karel, forrester, information quality management, business value
    
Trillium Software
Published By: SAS     Published Date: Mar 20, 2019
In today’s crowded analytics marketplace, who can you trust? What’s needed to deliver on the promise of transforming data into real value? And what do CIOs need to cost-effectively and successfully lead their organizations through changing technologies? For an organization to experiment with (and ultimately deploy) analytics, the responsibility falls squarely on the shoulders of IT. IT must provide secure access to lots of high-quality data, a friendly environment for experimentation and discovery, and a method for rapidly deploying and governing models. SAS can support an organization's journey toward becoming a data- and analytics-driven organization. We can help unlock the value by enabling with choices that make sense. Plus, we can show organizations how to get the most out of technology investments.
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SAS
Published By: Schneider Electric     Published Date: Feb 12, 2018
Many of the mysteries of equipment failure, downtime, software and data corruption, are the result of a problematic supply of power. There is also a common problem with describing power problems in a standard way. This white paper will describe the most common types of power disturbances, what can cause them, what they can do to your critical equipment, and how to safeguard your equipment, using the IEEE standards for describing power quality problems.
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Schneider Electric
Published By: APC     Published Date: Apr 08, 2010
Many of the mysteries of equipment failure, downtime, software and data corruption, are the result of a problematic supply of power. There is also a common problem with describing power problems in a standard way. This white paper will describe the most common types of power disturbances, what can cause them, what they can do to your critical equipment, and how to safeguard your equipment, using the IEEE standards for describing power quality problems.
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apc, power, cooling, it wiring, heat removal, green computing, ieee, equipment failure
    
APC
Published By: Schneider Electric     Published Date: Feb 12, 2018
Many of the mysteries of equipment failure, downtime, software and data corruption, are the result of a problematic supply of power. There is also a common problem with describing power problems in a standard way. This white paper will describe the most common types of power disturbances, what can cause them, what they can do to your critical equipment, and how to safeguard your equipment, using the IEEE standards for describing power quality problems.
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Schneider Electric
Published By: Jigsaw     Published Date: Apr 07, 2011
Do you feel like you are rolling the dice every time you buy a new prospect list? How do you know that the money you spend on a new list is a good investment or not?
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jigsaw, gen, business data, awareness, leads, sales, targeting b2b, b2b, leads, data leads, quality data
    
Jigsaw
Published 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.
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e-commerce, m-commerce, data quality, customer data verification
    
Experian QAS
Published 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
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