data management

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Published By: IBM     Published Date: Nov 20, 2009
The Payment Card Industry Data Security Standard (PCI DSS) is a global security program created to increase confidence in the payment card industry and reduce risks to PCI members, merchants, service providers and consumers. It was developed by the major credit card companies as a guideline to help organizations that process card payments prevent credit card fraud.
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ibm, pci requirements, pci dss, credit card fraud, ibm iss certified assessments, ips, ibm public key infrastructure for z/os, ibm tivoli provisioning manager, encryption management
    
IBM
Published By: Quocirca     Published Date: Jan 13, 2009
Given today’s economic climate, businesses are, more than ever, looking to create additional value through the reduction of risk and by saving costs. For many, the economic downturn is seen as the best time to optimise the infrastructure that they already have in place, to look at ways to trim unnecessary expenditure and to use existing resources more effectively. As organisations are increasingly reliant on data networks that encompass an ever-growing range and number of internet protocol (IP) enabled devices and applications, they need to more effectively administer and manage these assets—they can no longer take the management of their IP networks for granted.
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quocirca, ipam, dynamic host configuration protocol, domain name system, radio frequency identification, voice over ip
    
Quocirca
Published By: IBM     Published Date: Jan 09, 2015
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base.
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ibm, big data, insights, infosphere, data management, dashboards, value, data matching, analytics, challenges, hadoop
    
IBM
Published By: IBM     Published Date: Apr 18, 2016
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base.
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ibm, mdm, big data, data management, data matching, customer analytics
    
IBM
Published By: IBM     Published Date: Jul 06, 2016
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base.
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ibm, mdm, big data, data management, data matching, customer analytics
    
IBM
Published By: IBM     Published Date: Jan 27, 2017
High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-c entric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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IBM
Published By: IBM     Published Date: Jul 26, 2017
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base. High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-centric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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customer analytics, data matching, big data, competitive advantage, customer loyalty
    
IBM
Published By: CA Technologies     Published Date: Apr 06, 2017
Privileged Access Management is an imperative to addressing PCI compliance. Yet its importance extends beyond just meeting PCI compliance requirements as it allows an organization to improve its overall security posture against today’s external and internal threats. CA Privileged Access Manager provides an effective way to implement privileged access management in support of PCI compliance and other security needs.
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data assets, risk management, it security, session management, authentication management, security intelligence, information management, infrastructure management, database platforms, account management
    
CA Technologies
Published By: Adobe     Published Date: Nov 10, 2015
Download this white paper to hear from more than 1,500 line-of-business leaders, IT leaders, and information workers about the effectiveness of their organization’s document-based business processes.
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adobe, information technology, data management, business technology, document disconnect, sales management, contracts, e-signatures, quote to cash, sales contract management
    
Adobe
Published By: GFI Software     Published Date: Mar 21, 2011
This white paper examines the necessary requirements to adhere to PCI DSS, the implications of non-compliance as well as how effective event log management and network vulnerability management play a key role in achieving compliance.
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gfi, pci dss, credit card, event log management, network vulnerability management, compliance
    
GFI Software
Published By: Intel     Published Date: Dec 13, 2018
In today’s world, advanced vision technologies is shaping the next era of Internet of Things. However, gathering streaming video data is insufficient. It needs to be timely and accessible in near-real time, analyzed, indexed, classified and searchable to inform strategy—while remaining cost-effective. Smart cities and manufacturing are prime examples where complexities and opportunities have been enabled by vision, IoT and AI solutions through automatic meter reading (AMR), image classification and segmentation, automated optical inspection (AOI), defect classification, traffic management solution—just to name a few. Together, ADLINK, Touch Cloud, and Intel provide a turnkey AI engine to assist in data analytics, detection, classification, and prediction for a wide range of use cases across a broad spectrum of sectors. Learn more about how the Touch Cloud AI brings cost savings, operational efficiency and a more reliable, actionable intelligence at the edge with transformative insi
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Intel
Published By: Epson     Published Date: May 14, 2018
Consumers worldwide continue to adopt and use technology in their shopping experience. Faced with rising customer expectations and increasing competitive pressures, retailers now are prioritizing in-store innovation. Many retailers have adopted multichannel implementations, in which mobile, web, and in-store shopping are enabled but not delivered consistently to the customer. The next step in this evolution is an omnichannel strategy, now being deployed by some retailers, which presents a consistent shopping experience across mobile, web, and in-store channels. Omnichannel also enables retailers to integrate back-end infrastructure technologies (e.g., servers, databases, etc.) and cloud-based services (e.g., loyalty programs, personalized recommendations, inventory management, etc.) to improve many aspects of store and enterprise operations. An omnichannel strategy relies on several core and supporting technologies. The key factors in evaluating any omnichannel-enabling solution includ
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Epson
Published By: Zynapse     Published Date: Sep 10, 2010
UNSPSC enables preference item management, better spend analysis, supply standardization and information control. Whether you are deliberating on the need for a common product and classification standard for your company, or are an advanced UNSPSC adopter, we hope that "Adopting UNSPSC" will answer some of your questions and perhaps help you in some way to improve your purchasing and supply management processes.
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zynapse, erp projects, unspsc, data information, data management, governance, mdm, master data management, odm, mmdm, material
    
Zynapse
Published By: IBM     Published Date: Dec 12, 2006
The purpose of this paper is to highlight the issues, requirements, and technologies available for automated advanced name recognition.
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business process automation, data integration, data quality, information management, customer service, data management, enterprise software, contact management, marketing automation, crm, customer relationship management, ibm
    
IBM
Published By: IBM     Published Date: May 30, 2008
WinterCorp analyzes IBM's DB2 Warehouse and how it addresses twin challenges facing enterprises today: improving the value derived from the torrents of information processed every day, while lowering costs at the same time. Discover why WinterCorp believes the advances in data clustering strategies and intelligent software compression algorithms in IBM's Data Warehouse improves performance of business intelligence queries by radically reducing the I/O's needed to resolve them.
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data warehousing, data management, database management, database administration, dba, business intelligence, ibm, leveraging information, li campaign, ibm li
    
IBM
Published By: HP and Intel ®     Published Date: May 06, 2013
This paper summarizes and evaluates the prevalence and efficacy of data center virtualization deployments, as well as the hardware that supports them. The conclusions drawn from this report are based on analysis of both quantitative market research and two qualitative interviews with a CIO and CTO in healthcare and finance, respectively. Each customer, referred to ESG by Hewlett-Packard (HP), had extensive experience deploying both server and desktop virtualization. The goal of the study was to determine the IT and business drivers to adoption of virtual technologies, the expected and realized benefits, ensuing infrastructure decisions,future outlook of the data center, and best practices for deployment.
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data center, virtualization, data center management, automation, agile, storage, van, virtual application network, infrastructure, desktop virtualization
    
HP and Intel ®
Published By: IBM     Published Date: Nov 03, 2015
Read this whitepaper to see how cogntive technologies are transforming the wealth management landscape.
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ibm, watson, application, powerful information, networking, software development, it management, enterprise applications, data management
    
IBM
Published By: Symantec     Published Date: Jul 29, 2013
Backup and recovery has never been a higher priority for IT organizations than it is right now. But when it comes to Virtual Machine (VM) backup and recovery, the landscape has never been more confusing. Download this white paper and learn about the advantages of backup agents, agentless backup and agent-assisted backup so that you can decide for yourself and truly determine the best approach for your organization. We help you weigh in the pros and cons of each method.
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architect, deduplication, virtual machines, symantec, enterprise, technology, server, virtualization, data protection, backup, recovery, system security, system management
    
Symantec
Published By: SAS     Published Date: Mar 01, 2012
The traditional managed reporting approach to BI is challenged to keep up with changing demand for business information. This research finds that providing business users with highly visual/interactive tools can help ensure they get what they need.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics, it management, ondemand solutions, performance management, risk management, sas® 9.3, supply chain intelligence, sustainability management
    
SAS
Published By: Gleanster Research     Published Date: Nov 06, 2012
For major corporations, these new data management and visualization tools can supplement their core BI initiatives, providing a friendlier front end that builds on existing investments. For smaller organizations, these tools may be the only ones they need. In this 38-page benchmark report, you'll learn how Top Performers use Agile Business Intelligence.
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gleanster, agile business, business, technology, data
    
Gleanster Research
Published By: Delphix     Published Date: Mar 24, 2015
Software development across industries is undergoing a constant revolution, driving toward more efficient processes, while data management is trapped with slow legacy systems. This deep dive outlines how Data as a Service transforms data from drag to driver.
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Delphix
Published By: Delphix     Published Date: Mar 24, 2015
With the recent spike in data theft and cybercrime, data masking is becoming an invaluable element of organization's security strategies. Delphix Agile Masking transforms secure data delivery, and enhances compliance and security while accelerating data management processes across the board.
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Delphix
Published By: MarkLogic     Published Date: Mar 29, 2018
Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.
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enterprise, metadata, management, organizations, technology, tools, mark logic
    
MarkLogic
Published By: MarkLogic     Published Date: May 07, 2018
Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.
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agile, enterprise, metadata, management, organization
    
MarkLogic
Published By: Juniper Networks     Published Date: Oct 25, 2017
The broad adoption of the next generation of cloud, mobile, M2M, and big data applications is having profound impacts on IT and network infrastructures. Compared to traditional applications, these applications have much shorter life cycles. You must be able to spin them up, spin them down, and grow and shrink them on demand. Furthermore, you must be able to move these application workloads within a data center or across geographically distributed data centers, resulting in increased management complexities.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Juniper Networks
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