Data Quality White Papers

Data Quality refers to the quality of data. Data are of high quality "if they are fit for their intended uses in operations, decision making and planning" (J.M. Juran). Alternatively, the data are deemed of high quality if they correctly represent the real-world construct to which they refer. These two views can often be in disagreement, even about the same set of data used for the same purpose.
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By: IBM     Published Date: May 20, 2015

Today’s customers are well-informed and empowered by information. They use other people and online experts as information sources. They interact with companies by multiple methods and expect a relevant dialogue with each brand. This paper introduces the IBM Predictive Customer Intelligence solution, which is designed to help your company create personalized, relevant experiences for individual customers with a focus on driving new revenue. Along with explaining the architecture of the solution, this paper covers how the solution works.

Tags : ibm, software, business analytics, database, database development, quality assurance, analytical applications, business intelligence
    
By: Netapp EMEA     Published Date: May 15, 2015

NetApp Private Storage for AWS has the unique opportunity to change the way organizations consume cloud resources and open the market up to high-performance workloads.

Tags : netapp private storage, cloud resources, aws, private cloud, data protection, data quality, database security, cloud computing
    
By: IBM     Published Date: May 22, 2015

In this webinar, we will discuss the broad range of IBM deployment approaches that can help organizations solve their business challenges and achieve a higher ROI from analytics.

Tags : analytics, roi, management, ibm, strategy, bandwidth management, analytical applications, business intelligence
    
By: IBM     Published Date: May 20, 2015

Join our IBM Big Data analytics experts at this webinar for a discussion of how the right analytical techniques can broaden the possibilities of your analytics infrastructure

Tags : big data, analytics, forecasting, data management, analytical applications, business intelligence, database development, data quality
    
By: IBM     Published Date: May 12, 2015

This white paper describes a holistic approach to healthcare cybersecurity, which incorporates sophisticated big data analytics to help better protect and secure the vast array of data healthcare organizations maintain.

Tags : healthcare, cybersecurity, big data, security, security management, quality assurance, data quality, database security
    
By: IBM     Published Date: May 12, 2015

Creating more person-centric, coordinated and value-based care means all service providers must share risks and data, conducting business with partners that cross traditional boundaries, while data is transforming this industry at an unprecedented pace. Watch this webcast to learn more of how organizations are optimizing their business processes to lower costs, analyzing data to improve quality, care, and population health, while learning to engage in new ways to drive better outcomes.

Tags : risk, data, service provider, healthcare, optimization, quality of service, quality assurance, business intelligence
    
By: Intuit QuickBase     Published Date: Apr 10, 2015

Utilizing spreadsheets to manage projects carries a variety of hidden costs and risks that collectively make it unsuitable beyond a few project team members. Download this whitepaper to learn why.

Tags : intuit, quickbase, spreadsheets, excel, project management, it costs, workflow, business activity monitoring
    
By: Dell     Published Date: Mar 30, 2015

Dell has teamed with Intel to create innovative solutions that can accelerate the research, diagnosis and treatment of diseases through personalized medicine. The combination of leading-edge Intel® processors and the systems and storage expertise from Dell create a state-of-the-art solution that is easy to install, manage and expand as required. Download to learn more.

Tags : dell, intel, genomics, research, data analysis, gdap, servers, blade servers
    
By: Cloudera     Published Date: Mar 10, 2015

This national children's hospital relies on a big data platform to better understand its patients, their conditions, and the quality of care they receive in support of its mission: to make kids better today and healthier tomorrow.

Tags : big data, data analysis, data management, data storage, business intelligence, data warehousing, storage management, database development
    
By: Cloudera     Published Date: Mar 10, 2015

Learn how 3 financial services companies quickly took advantage of more of their data and enabled new information-driven insights, cost savings and business agility.

Tags : big data, data analysis, data management, data storage, business intelligence, data warehousing, storage management, data integration
    
By: Cloudera     Published Date: Mar 10, 2015

The most direct path to making Big Data -- and Hadoop -- a first-class citizen will be through an "embrace and extend" approach that not only maps to existing skill sets, data center policies and practices, and business use cases, but also extends them.

Tags : big data analytics, big data, data center policies, data management, it infrastructure, business practices, storage management, business intelligence
    
By: Cloudera     Published Date: Mar 10, 2015

For an implementation of its size, Western Union anticipated going from “zero to Hadoop” in about a year. Exceeding expectations, “We had our first production-ready Cloudera system up within just five months,” commented Saraf. “We were actually leveraging it for some of our transactional processing, and saw immediate value.”

Tags : data hub, customer experience, use behavior data, business applications, storage management, business intelligence, data integration, data quality
    
By: Cloudera     Published Date: Mar 10, 2015

Cloudera has been included as a Challenger in Gartner's 2015 Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics, following last year’s debut as the only included pure-play Hadoop distribution vendor.

Tags : data warehouse, data analytics, data management, file management systems, data management solutions, databases, storage management, business intelligence
    
By: Pentaho     Published Date: Feb 26, 2015

This eBook from O’Reilly Media will help you navigate the diverse and fast-changing landscape of technologies for processing and storing data (NoSQL, big data, MapReduce, etc).

Tags : data systems, data-intensive applications, scalability, maintainability, data storage, application development, storage management, application integration
    
By: Intel Security     Published Date: Feb 23, 2015

This paper reveals how cloud and compliance could be in one thanks to McAfee Enterprise Security Manager.

Tags : security information, security connected framework, big security data, big data, log management, siem, security event management, application security
    
By: NEC     Published Date: Aug 12, 2014

Server virtualization is revolutionizing the datacenter by making applications mobile, increasing application uptime, and allowing IT admins to allocate computing resources more efficiently. The technology has been deployed widely enough that the role of the computer server has evolved from directly hosting operating systems and applications to hosting fully virtualized environments. Server that can support more virtualized machines (VMs - complete application stacks) allow their users to gain higher return on their IT investments. Private Cloud can extend the virtualization benefits in ways that broaden the benefits of virtualization to all parts of the organization. In this white paper, you will learn how Corporate IT uses these tools to meet the increasing demand for IT services.

Tags : tier 1, cloud, machines, datacenter, servers, virtualization, customer value, analytics
    
By: NEC     Published Date: Aug 12, 2014

By now, much has been written about the advantages server virtualization brings to an enterprise. In the June 2013 survey, 63% of all companies and 100% of large enterprises reported having a server virtualization program. However, when you segment the virtualization rates, you find a trend that indicates that large enterprises in particular are not gaining all of the advantages that server virtualization has to offer. What is more difficult and remains a challenge, particularly for large enterprises, is virtualizing Tier 1 applications. These are large, mission-critical enterprise applications such as email, customer relationship management (CRM), or enterprise resource planning (ERP). These applications tend to be very large, consume the entire capacity of a current generation server, and require high application uptimes. As shown in Figure 1, the virtualization rates for these applications are far lower than Tier 2 apps. In this eBook, you’ll learn how the NEC enterprise server provides a platform that now gives customers the right platform to virtualize their Tier 1 apps.

Tags : servers, virtualization, customer value, analytics, application owners, system integrators, big data, reliability
    
By: IBM     Published Date: Aug 08, 2014

As executives witness data’s proven impact on performance and innovation and recognize its strategic significance, they also realize the growing need for a leader whose primary role is to understand and advocate on behalf of data: The Chief Data Officer.

Tags : big data, analytics, technology, chief data officer, business intelligence, data integration, data protection, data quality
    
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.

Tags : marketing data services, marketing data management, marketing data quality, installed technology list, international contact data, business contact list, marketing database cleansing, marketing database services
    
By: Sage     Published Date: Mar 26, 2014

Do you often find yourself daydreaming about a perfect fixed assets management solution?

Tags : sage, fixed assets, spreadsheets, tax payments, sarbanes-oxley, depreciation, tracking, planning
    
By: SAS     Published Date: Mar 14, 2014

The solution to operationalizing analytic s involves the effective combination of a Decision Management approach with a robust, modern analytic technology platform. This paper discusses both how to use a focus on decisions to ensure the right problem gets solved and what such an analytic technology platform looks like.

Tags : sas, predictive analytics, technology platform, solution, operationalizing, production systems, best practices, business analytics
    
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.

Tags : sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives
    
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.

Tags : sas, data categorization, retrieval and quality, spectradynamo, telemetry data, data governance program, data management, data quality
    
By: Kaseya     Published Date: Feb 11, 2014

Embrace a new concept and adopt these 4 steps to create IT efficiencies without having to cut service levels. This might just be the change you need.

Tags : kaseya, systems management, technology savvy, it efficiencies, systems management strategy, discovery process, mobile workers, it policies
    
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