data quality

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Published By: IBM     Published Date: Oct 13, 2016
Data quality and master data management in a hybrid environment
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ibm, mdm, big data, ibm infosphere, knowledge management, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Jul 22, 2016
"Increasingly, brands are looking to differentiate based on an exceptional customer experience. The key to improving the customer experience is being able to effectively measure what’s working and what you need to improve. IBM host a webinar presenting tips on how to measure the customer experience for your brand and how to use that data to build better journeys. Please join IBM and guest speaker Andrew Hogan from Forrester Research as we share tips on how to best measure the digital experiences customers have with your brand and how to use that information to build better journeys. The webinar will provide attendees with: • Best practices to measure the quality of digital customer experiences • Guidance on the kinds of tools to use to capture the right CX metrics • Tips for integrating metrics, including the role of customer journeys • Techniques to drive action and improve digital experiences"
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ibm, commerce, customer analytics, marketing, customer experience, customer insight, forrester, digital experience, knowledge management, enterprise applications
    
IBM
Published By: IBM     Published Date: Jul 15, 2016
As big data environments ingest more data, organizations will face significant risks and threats to the repositories containing this data. Failure to balance data security and quality reduces confidence in decision making. Read this e-Book for tips on securing big data environments.
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ibm, data, security, big data, data management
    
IBM
Published 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 IoE’s 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
Published By: IBM     Published Date: Jul 08, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, idc, big data, data, analytics, information governance, knowledge management, data management, data center
    
IBM
Published By: IBM     Published Date: Jul 06, 2016
Built using the IBM® InfoSphere® Information Server, IBM BigInsights® BigIntegrate and BigInsights BigQuality provide the end-to-end information integration and governance capabilities that organizations need.
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ibm, big data, ibm infosphere, ibm biginsights, ibm bigintegrate, ibm bigquality, data management, data quality, data integration, data center
    
IBM
Published 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.
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cyrusone, data, technology, productivity, engineering
    
CyrusOne
Published By: Pega     Published Date: May 24, 2016
The digital service revolution is well underway. For communications service providers (CSPs), it means going beyond traditional voice and data and upgrading their entire digital communications infrastructure. Research shows enterprise-class organizations are allocating heavy dollars towards communications solutions and prefer a single provider for digital services. This is a massive opportunity for CSPs to expand their services, generate more revenue, grow profit and increase market share. However, the majority of enterprises reported not receiving a consistently excellent experience with their most recent service contract. As a result, many switch to new providers. CSPs are losing credibility and the loyalty of their customers because of legacy and traditional systems that constrain their ability to act quickly. Enterprises are looking for CSPs who understand their complex business and can offer a full portfolio of digital services with quality and creativity to meet their needs.
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Pega
Published By: Delphix     Published Date: May 03, 2016
Looking to streamline processes across development, test, and operations teams with more efficient Test Data Management (TDM)? Don't let antiquated technology and complex processes stand in the way of fast access to high-quality test data. Next-generation TDM transforms how businesses deploy testing environments and the way teams work within them, providing both greater flexibility and increased efficiency.
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Delphix
Published By: IBM     Published Date: Apr 18, 2016
"Built using the IBM® InfoSphere® Information Server, IBM BigInsights® BigIntegrate and BigInsights BigQuality provide the end-to-end information integration and governance capabilities that organizations need."
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ibm, big data, ibm infosphere, ibm biginsights, ibm bigintegrate, ibm bigquality, data management, data quality, data integration
    
IBM
Published By: IBM     Published Date: Apr 06, 2016
As big data environments ingest more data, organizations will face significant risks and threats to the repositories containing this data. Failure to balance data security and quality reduces confidence in decision making. Read this e-Book for tips on securing big data environments
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ibm, big data, data security, risk management, security
    
IBM
Published By: Pega     Published Date: Mar 25, 2016
The digital service revolution is well underway. For communications service providers (CSPs), it means going beyond traditional voice and data and upgrading their entire digital communications infrastructure. Research shows enterprise-class organizations are allocating heavy dollars towards communications solutions and prefer a single provider for digital services. This is a massive opportunity for CSPs to expand their services, generate more revenue, grow profit and increase market share. However, the majority of enterprises reported not receiving a consistently excellent experience with their most recent service contract. As a result, many switch to new providers. CSPs are losing credibility and the loyalty of their customers because of legacy and traditional systems that constrain their ability to act quickly. Enterprises are looking for CSPs who understand their complex business and can offer a full portfolio of digital services with quality and creativity to meet their needs. Dow
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Pega
Published By: Dun & Bradstreet     Published Date: Mar 08, 2016
Did you know that the average health of marketers’ data is only “questionable?” Dun & Bradstreet analyzed 695M customer contact records and surveyed more than 500 B2B marketers to provide the truth about the state of B2B marketing data. Download the fourth annual report to discover how you can turn improved data quality into a competitive advantage. • The trends and pitfalls every data-driven marketer needs to know • The true state of B2B marketing data quality • Benchmarks for assessing your own data quality • Dun & Bradstreet’s research of B2B marketers’ data-fueled priorities for 2016 Do you have the data strategy you need to deliver on your marketing goals? Download the B2B Marketing Data Report to find out!
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Dun & Bradstreet
Published By: BMC Software     Published Date: Jul 22, 2015
Find out how BMC TrueSight IT Data Analytics can help you identify and resolve issues faster by leveraging both monitoring and log data so you can avoid performance issues and improve quality of service while also enhancing IT staff productivity.
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bmc truesight it data analytics, monitoring data, log data, performance issues, quality of service, productivity
    
BMC Software
Published By: IBM     Published Date: Jul 13, 2015
This paper discusses how InfoSphere capabilities can be used to create comprehensive and accurate 3600 views of your customers from internal and external sources.
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crm cloud solution, salesforce, user productivity, data enrichment, security, data quality, customer data search, customer relationship management
    
IBM
Published By: IBM     Published Date: Jul 13, 2015
This ebook explores how an enhanced 360-degree view of the customer optimizes and facilitates more personalized customer interactions.
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customer centric organizations, crm, customer usability, personalized interactions, big data, data quality, data management
    
IBM
Published By: VMTurbo     Published Date: Jul 08, 2015
This paper examines the evolution of enterprise applications, the data centers in which these applications reside and the increasing expectations of businesses and end-users on the Quality of Service (QoS) their applications deliver.
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application control, application performance, enterprise applications, cloud-based applications, apm, application performance monitoring, data center, infrastructure performance
    
VMTurbo
Published 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
Published By: CA Technologies     Published Date: Jun 04, 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
Published 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
Published By: Dell EMC     Published Date: May 29, 2015
If you are considering Hybrid Cloud, tune in to this revealing conversation with EMC’s Chad Sakac and Wikibon Analysts, Dave Vallente and Stu Miniman. Great insight on virtualization, Openstack, and the future of cloud computing plus informative details on EMC Enterprise Hybrid Cloud
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hybrid cloud, hardware, software, hardware, service center, application integration, business intelligence, data quality, productivity, cloud computing, business technology
    
Dell EMC
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: 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.
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risk, data, service provider, healthcare, optimization
    
IBM
Published By: SAS     Published Date: Apr 16, 2015
Ecclesiastical uses SAS® to improve data quality to make better decisions that enhance the reputation of the business, affect millions of pounds of risk selection/underwriting and help to establish optimum reinsurance levels. Millions of pounds hang on decisions around reinsurance and risk selection. Achieving the best possible outcome means taking data and turning it into ‘decision-making gold’. The key is to have good data going into the process.
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SAS
Published By: Delphix     Published Date: Apr 14, 2015
Current test data management solutions are flawed in at least one key dimension. Technologies in the emerging Data as a Service (DaaS) category bring the benefits of virtualization to application data, delivering high-quality test data with both speed and efficiency.
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Delphix
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