organizational data

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Published By: Great Bay Software     Published Date: Jan 04, 2018
Protecting patients, their PHI and your organizational data is mission critical. With almost 15 network connected IoMT devices per bed having an accurate inventroy, minimizing cybersecurity risks, protecting patients & their PHI data is critical.
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iomt, iomt security, medical device security
    
Great Bay Software
Published By: Datalink     Published Date: Jun 01, 2012
Assembling an internal private cloud or migrating to an external one is a challenge - both technically and organizationally. Datalink has answers - and a unified solution with the Datalink V-Scape Reference Architecture.
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v-scape, vscape, datalink, architecture, infrastructure, migration, storage, networking, cloud, virtualization
    
Datalink
Published By: Dell Software     Published Date: Jul 24, 2012
Quest Workspacetm Help Desk is a robust help desk solution for small to medium-sized businesses with complex network environments. It provides a powerful combination of management features integrated with a best-of-breed IT help desk platform. Use the help desk software to manage the ticket system workflows, dashboards, reporting and end-user self-service portals. Use the embedded management features within the help desk platform to proactively manage network events, desktops, servers and applications as well as resolve issues faster and more effectively.
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help desk, active directory, resolve issues, reports, windows, iphone, priorituze requests, auto escalation, organizational data, customize reports, cuztomize dashboards, data fields, scriptlogic, quest software, itil, service levels, proactive event management, data management, business technology
    
Dell Software
Published By: CDW Symantec     Published Date: Aug 02, 2012
Read the results of Symantec's research on the psychology behind intellectual property theft by corporate insiders. This report addresses the organizational anxiety surrounding potential theft of critical data by employees and describes what is known about the people and conditions that contribute.
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indicators, intellectual, property, theft, symantec, psychology, research, corporate, insiders, anxiety, theft, stealing, steal, data, employees, protection, secure, conditions, security, it management
    
CDW Symantec
Published By: Payscale, Inc     Published Date: Apr 04, 2018
The business world now revolves around data. All employee actions and organizational decisions are backed by data (or at least that’s the idea). And as we set up ever-more mechanisms to capture information, and new data collectors emerge, there’s no shortage of available data sources.
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Payscale, Inc
Published By: Intralinks     Published Date: Nov 26, 2013
The implications of data loss are significant. Organizations that ignore the law affecting collaboration and information sharing are at serious risk of litigation, fines and brand damage. The paradigm shift from organizationally-defined to user-defined information governance is making it that much more difficult to maintain control of business activity and data.
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intellectual property, sensitive information, privacy, inter-enterprise collaboration, secure documents, security, jurisdictional privacy heat map, business technology
    
Intralinks
Published By: Kaspersky Lab     Published Date: Feb 18, 2014
Download the Kaspersky Lab security experts' Guide to the Threat Landscape to have access to a wealth of IT security intelligence.
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kaspersky, kaspersky lab, malware, anti-virus industry, organizational security, mobility, byod, the cloud, virtualization, it administrators, it security, monitoring intrusions, phishing, cybercriminals, system malware, infrastructure, data management, mobile malware, social networks, unpatched application
    
Kaspersky Lab
Published By: CDW     Published Date: Aug 04, 2016
See how we can help you build a data center solution that supports today’s demands and positions your organization for success. Your current data center could be holding you back more than you realize. In today’s fast-paced world, some of your most critical operations revolve around technology. And for those systems to work, you need an infrastructure that’s ready to support your changing workloads and organizational needs. At CDW, we bring you the solutions and the support you need to further your goals. We can assess your environment, design the best approach, deploy your solution and manage it throughout its lifecycle. Because with a flexible, resilient and efficient data center, you can support flexibility, resiliency and efficiency throughout your organization.
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technology, best practices, productivity, data, competitive advantage, business technology, data center
    
CDW
Published By: Sponsored by HP and Intel®     Published Date: Feb 20, 2013
Between increased use of server virtualization, the dynamic proliferation of private cloud, the ever-growing unstructured data pool, and the advent of “big data,” organizational data is going to continue to grow. Learn more about what HP has in store
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dedupe 2.0, store(once), deduplication, strategy, data source, it management, data management, business technology, data center
    
Sponsored by HP and Intel®
Published By: Sponsored by HP and Intel® Xeon® processors     Published Date: Apr 11, 2013
Between increased use of server virtualization, the dynamic proliferation of private cloud, the ever-growing unstructured data pool, and the advent of “big data,” organizational data is going to continue to grow. Learn more about what HP has in store
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dedupe 2.0, store(once), deduplication, strategy, data source
    
Sponsored by HP and Intel® Xeon® processors
Published By: Intralinks     Published Date: Mar 12, 2014
The implications of data loss are significant. Organizations that ignore the law affecting collaboration and information sharing are at serious risk of litigation, fines and brand damage. The paradigm shift from organizationally-defined to user-defined information governance is making it that much more difficult to maintain control of business activity and data. This informative white paper by legal firm Field Fisher Waterhouse evaluates the legal risks of uncontrolled collaboration and information sharing and what to do about them, while providing in-depth insights into: • Landmark incidents that have influenced data protection laws • How to navigate different jurisdictional privacy frameworks • Top 4 types of legal risk to protect against • Top 5 recommendations for implementing good governance
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data security, compliance, technology, network security, regulatory compliance, security, knowledge management, enterprise applications, data management, data center
    
Intralinks
Published By: Alert Logic     Published Date: Jun 12, 2014
Log management is an organizational requirement that extends beyond simple data collection. Today’s compliance regulations demand the ability to collect, analyze and report on all data collected. This whitepaper discusses key best practices to consider when evaluating automated log management solutions.
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log management, log collection, log solutions, log storage, security logs, it management, enterprise applications
    
Alert Logic
Published By: IBM     Published Date: Mar 28, 2016
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
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ibm, talent analytics, kenexa talent insights, workforce science, talent insights, human resource technology
    
IBM
Published By: IBM     Published Date: Mar 28, 2016
Workforce analytics is a very significant development in human resources. It promises the potential for deeper understanding of the ways workers contribute to organizational performance. However, workforce analytics is not just about analyzing data to reveal exciting insights; it also requires the active involvement of a firm’s workers if the potential of analytics is to be fully realized. Without active employee participation, workforce analytics efforts face at best, restricted data sources and data sets that are incomplete and at worst, the risk of damaging employee relations and, ultimately, productivity. This white paper summarizes recommendations that will encourage enthusiasm for workforce analytics and active employee participation, using the FORT (Feedback, Opt-in, Reciprocal, Transparent) framework. The FORT criteria could prove particularly useful in European countries. This is because the 1995 European Union Data Protection Directive, along with certain local legislative pr
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ibm, ibm smarter workforce institute, work trends, employee engagement
    
IBM
Published By: IBM     Published Date: Jun 13, 2016
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
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ibm, talent acquisition, talent acquisition technology, human resources, recruiting, talent acquisition technology
    
IBM
Published By: IBM     Published Date: Jul 20, 2016
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
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ibm, talent acquisition, talent acquisition technology, human resources, recruiting, talent acquisition technology, human resource technology
    
IBM
Published By: Diskeeper Corporation     Published Date: Jun 08, 2007
With continued expansion of organizational storage allocation requirements, the time required for file-based data backup also continues to increase yet the time allotted for this data backup remains constant, exposing a critical issue. Though backup software vendors continue making advancements in technology to speed up the process, disk fragmentation will continue to remain an unresolved issue that must be addressed on the file system level to solve this bottleneck.
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storage, storage management, backup, data backup, disk backup, defrag, defragment, defragmentation, optimize backup, optimizing backup, diskeeper, diskkeeper, disk keeper
    
Diskeeper Corporation
Published By: IBM     Published Date: Oct 24, 2013
This analyst research paper contains findings from Aberdeen Group on the financial reporting pressures, challenges faced by organizations particularly with regulatory mandates
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ibm, aberdeen group, financial reporting pressures, financial challenges, analyst insight, disclosure management, organizational transparency, organizational collaboration, deman for data, utilize the data, business intelligence, real-time data initiatives, real-time financial reporting, knowledge management
    
IBM
Published By: K2     Published Date: Jan 07, 2016
We’re experiencing a data explosion. By 2020 the data we create and copy annually will reach 44 trillion gigabytes.1 As this data disseminates into the workplace, companies add hardware and software systems to store, protect and manage it all. While data can help solve business problems, data is most helpful when it reaches those who can use it. Companies need to build Microsoft SharePoint apps that integrate with other line-of-business (LOB) systems so users can take full advantage of this data explosion. But the reality of creating apps that integrate data across organizational systems presents an intimidating challenge. To integrate multiple isolated data sources into an application that transforms data into useful information requires technical expertise, coding and ongoing maintenance. Integration also raises security and governance concerns. So it’s no surprise that only 47 percent of SharePoint users have connected their SharePoint apps with other systems.2 As a result, nearly
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microsoft sharepoint, data integration, security, sharepoint solutions, networking, it management, knowledge management
    
K2
Published By: AuditBoard     Published Date: Nov 26, 2018
Aggregating and analyzing internal organizational data, external subject matter expertise, and internal control-related data should provide the internal audit team a solid understanding of how the process works, the key risks managed by the process, and how the internal audit team should spend their time and resources to carry out the process.
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AuditBoard
Published By: IBM     Published Date: Jul 17, 2018
Ensuring your data is compliant can be a fairly straightforward task. Your IT team works their way through the checklist, and stays out of trouble with lawyers and regulatory agencies. There’s value to that. But true data protection is more than regulatory compliance. In fact, even if you’re compliant, your organization could still be at risk unless you strategically identify and protect your most valuable data. Traditionally, you’ve been presented with IT security metrics—sometimes reassuring, other times alarming. But simply reviewing IT security metrics is not meaningful in and of itself. As an executive, you don’t evaluate issues in siloes. Instead, you excel at assessing issues in the broader context of your organizational operations. In other words, technical security data and metrics lack value unless viewed through the lens of business risk. When you’re presented with IT security metrics, your question is: What does this mean for my business? And ultimately, what data should I
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IBM
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
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Group M_IBM Q418
Published By: Cisco     Published Date: Jul 11, 2016
Operational efficiency and cost savings. Datadriven business insights. Organizational agility and market differentiation. Enterprises in every industry are pursuing such gains, but they cannot be achieved with a fragmented, siloed technology infrastructure. Technological integration doesn’t happen overnight, of course. It takes years of behind-the-scenes teamwork and engineering—backed by decades of expertise, research, and development—to have a broad and lasting impact. This special edition of Unleashing IT highlights the fruits of those labors, showcasing the unparalleled alignment of Microsoft, Cisco, and Intel technologies. In the following pages, you’ll read about the advancement and unique value of integrated solutions, spanning cloud environments, data centers, and management tools. You’ll also hear from organizations that are aking advantage of these converged technologies, including King County, Provincia Net, and Swinburne University.
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Cisco
Published By: IBM     Published Date: Apr 03, 2017
Businesses today certainly do not suffer from a lack of data. Every day, they capture and consume massive amounts of information that they use to make strategic and tactical decisions. Yet organizations often lack two critical capabilities when it comes to making the right decisions for the business: the ability to make accurate predictions about the future, and to then use those predicted insights in conjunction with organizational goals to identify the best possible actions they should take. The combination of predictive analytics and decision optimization provides organizations with the ability to turn insight into action. Predictive analytics offers insights into likely scenarios by analyzing trends, patterns and relationships in data. Decision optimization prescribes best-action recommendations given an organization’s business goals and business dynamics, taking into account any tradeoffs or consequences associated with those actions.
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predictive analytics, analytics, data analytics, financial marketing, market analytics, data resources, data optimization
    
IBM
Published By: SAS     Published Date: Aug 28, 2018
Starting data governance initiatives can seem a bit daunting. You’re establishing strategies and policies for data assets. And, you’re committing the organization to treat data as a corporate asset, on par with its buildings, its supply chain, its employees or its intellectual property. However, as Jill Dyché and Evan Levy have noted, data governance is a combination of strategy and execution. It’s an approach that requires one to be both holistic and pragmatic: • Holistic. All aspects of data usage and maintenance are taken into account in establishing the vision. • Pragmatic. Political challenges and cross-departmental struggles are part of the equation. So, the tactical deployment must be delivered in phases to provide quick “wins” and avert organizational fatigue from a larger, more monolithic exercise. To accomplish this, data governance must touch all internal and external IT systems and establish decision-making mechanisms that transcend organizational silos. And, it must provi
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SAS
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