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Published By: Juniper Networks     Published Date: Aug 08, 2017
Business evolution and technology advancements during the last decade have driven a sea change in the way data centers are funded, organized, and managed. Enterprises are now focusing on a profound digital transformation which is a continuous adjustment of technology management resources to deliver business results, guided by rapid review of desired outcomes related to end clients, resources, and budget constraints. These IT transitions are very much part of the competitive landscape, and executed correctly, they become competitive differentiators and enable bottom line growth. These outcomes are driving data centers to virtualization, service-oriented architectures, increased cybersecurity, “big data,” and “cloud,” to name a few of the key factors. This is completely rethinking and retooling the way enterprises handle the applications, data, security, and access that constitute their critical IT resources. In essence, cloud is the new IT.
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Juniper Networks
Published By: Juniper Networks     Published Date: Aug 08, 2017
Cloud is the new computer, and hybrid cloud is the new IT platform. According to a number of recent surveys, including RightScale’s State of the Cloud Report, enterprises see hybrid cloud as their ideal IT platform across business use cases like digital transformation, IoT, and big data-led research and business insight. These surveys show that the number of enterprises making the transition to hybrid cloud is on the rise, up from 75% in 2015 to 82% in 2016
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Juniper Networks
Published By: CA Technologies EMEA     Published Date: Aug 07, 2017
A big part of GDPR compliance will focus on how data is collected going forward. But a substantial emphasis will fall on the data businesses already hold. With many mainframes containing generations-old data, a manual data audit is completely unrealistic. That’s where CA comes in. CA Data Content Discovery enables organizations to find, classify and protect mission essential mainframe data—three valuable steps toward achieving GDPR compliance.
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gdpr, personal data, social information, ip addresses, ca technologies, mainframe security, anonymize data, privacy projects
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Aug 07, 2017
One way to shift testing practices earlier in your software lifecycle is by using multi-layered visual models to specify requirements in a way where all ambiguity is inherently removed. With unambiguous and complete requirements, developers introduce less defects into their code and manual test cases, automated test scripts and required test data can be automatically generated based on the requirement, without manual intervention.
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data manager, data requirements, test automation, service virtualization, risk manager, continuous testing, testing effort, delivery ecosystem
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Aug 03, 2017
Over 90% of organizations believe that the GDPR will impact the way they collect, use and process personal data. It’s one of the biggest changes to hit the digital privacy landscape in 20 years. And, in May 2018, the EU General Data Protection Regulation (GDPR) will introduce maximum fines of €20 million for non-compliance.
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digital privacy, data protection, gdpr, organization optimization, technical challenges, data regulation, anonymize data, privacy projects
    
CA Technologies EMEA
Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
Enterprises are looking to innovations like big data, cloud-based services and mobile apps to improve decision making and accelerate business results. But legacy IT implementations—independent compute, storage and networking platforms, veneered with a hypervisor— often can’t deliver on the increased agility, scalability and price performance demands of this new era of IT.
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information technology, networking platforms, return on investment, cloud-based services, mobile apps
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
If you’re a small-to-midsized business (SMB), you know that you’re operating in a fast-paced, ever-changing business environment. Customers want their demands met instantly, and increasing competition multiplies the pressure you’re under. If you can’t deliver, you can be sure somebody else will. Fortunately, the technology landscape is changing the way you do business. Mobility, social media, and Big Data are leveling the playing field and making it possible for companies like yours to access more sophisticated technology, reach bigger audiences, target their messages, and innovate in their offerings. Yet nothing has changed the landscape so much as the cloud.
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business environment, business management, social media, information technology, data security
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
In midsize and large organizations, critical business processing continues to depend on relational databases including Microsoft® SQL Server. While new tools like Hadoop help businesses analyze oceans of Big Data, conventional relational-database management systems (RDBMS) remain the backbone for online transaction processing (OLTP), online analytic processing (OLAP), and mixed OLTP/OLAP workloads.
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database usage, database management, server usage, data protection
    
Hewlett Packard Enterprise
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: IBM     Published Date: Jul 26, 2017
Business leaders are eager to harness the power of big data. However, as the opportunity increases, ensuring that source information is trustworthy and protected becomes exponentially more difficult. If not addressed directly, end users may lose confidence in the insights generated from their data—which can result in a failure to act on opportunities or against threats. Information integration and governance must be implemented within big data applications, providing appropriate governance and rapid integration from the start. By automating information integration and governance and employing it at the point of data creation, organizations can boost confidence in big data. A solid information integration and governance program must become a natural part of big data projects, supporting automated discovery, profiling and understanding of diverse data sets to provide context and enable employees to make informed decisions. It must be agile to accommodate a wide variety of data and seamle
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mdm, big data, automation, organization
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
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scalability, data warehousing, resource planning
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
Data—dynamic, in demand and distributed—is challenging to secure. But you need to protect sensitive data, whether it’s stored on premises, off-site, or in big-data, private- or hybrid-cloud environments. Protecting sensitive data can take many forms, but nearly any organization needs to keep its data accessible, protect data from loss or compromise, and comply with a raft of regulations and mandates. These can include the Payment Card Industry Data Security Standard (PCI DSS), the Health Insurance Portability and Accountability Act of 1996 (HIPAA) and the European Union (EU) General Data Protection Regulation (GDPR). Even in the cloud, where you may have less immediate control, you must still control your sensitive data—and compliance mandates still apply.
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data, security, encryption, cloud environments, data regulation
    
IBM
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
Cloud technology has changed everything—it has been one of the biggest transitions in the IT industry over the past three to four decades. Today’s customers require greater agility and faster innovation, and need the flexibility to run their workloads both in the public cloud and on premises with a predictable and transparent IT cost structure. Learn more in this new mini digi book. (Digital awareness asset/.pdf of value proposition for OCM and new Oracle Exadata Cloud Machine)
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Oracle PaaS/IaaS/Hardware
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical.
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Oracle PaaS/IaaS/Hardware
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
Learn how to create cloud infrastructure that's secure by default and has better core efficiency for Java, database, and big data. Oracle's servers offer hardware acceleration of data analytics and machine learning, with 10X better time-to-insight.
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Oracle PaaS/IaaS/Hardware
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
This eBook introduces all the components of the Oracle Data Integration Platform including Cloud Big Data and Governance.
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Oracle PaaS/IaaS/Hardware
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
Shows how Oracle’s new cloud-based data preparation and data wrangling service unlocks value from complex business data.
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Oracle PaaS/IaaS/Hardware
Published By: New Voice Media     Published Date: Jul 24, 2017
Da Kunden heute zunehmend digital vernetzt und Big Data auf dem Vormarsch sind, wird ein herausragender und personalisierter Kundenservice immer wichtiger. Der Kundenservice ist das entscheidende Alleinstellungsmerkmal, das den größten Einfluss auf Kundenentscheidungen und somit Ihren Umsatz hat.
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salesforce, cloud-kontakt-center-software, • plattform für den internen vertrieb
    
New Voice Media
Published By: Dassault Systèmes     Published Date: Jul 21, 2017
Obtaining a first-mover competitive advantage or faster time-to-market requires a new wave in analytics. Dassault Systèmes remains a leading innovator in Product Lifecycle Management (PLM) and has invested heavily in analytical technologies to further drive business benefits for its customers in the related areas of planning, simulation, insight and optimization. This white paper examines the challenges peculiar to PLM and why Dassault Systèmes’ EXALEAD offers the most appropriate solution. It also clearly positions EXALEAD PLM Analytics alongside related technologies like BI, data-warehousing and Big Data solutions. Understand and implement PLM Analytics to access actionable information, support accurate decision-making, and drive performance.
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product solutions, lifecycle management, tech products, data management tools, pdm, plm, process automation, product development speed, manufactures
    
Dassault Systèmes
Published By: Dassault Systèmes     Published Date: Jul 21, 2017
Project management relies primarily on past performance to predict future results, however many companies still lack forward-looking capabilities to predict project outcomes and ensure success. Enhancing project management with PLM analytics offers the opportunity to switch from task-based activities to performance-driven ones to improve success rates. Use PLM Analytics to: • Gain actionable insight and valuable intelligence • Dramatically boost business value and improve project management performance • Reduce error-prone behavior like manual data collection • Leverage big-data capabilities and project intelligence Learn how to extend the value of your PLM investment and improve business performance for your company.
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product solutions, lifecycle management, tech products, data management tools, pdm, plm, process automation, product development speed, manufactures
    
Dassault Systèmes
Published By: Oracle APAC ZO OD Prime Volume ERP ABM Leads June 2017     Published Date: Jul 12, 2017
This digibook contains a step-by-step guide to overcoming the new challenges of raised expectations, big data, and globalization, with case studies and examples of how smart CFOs are redefining reporting.
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finance, cfo, digital transformation, digibook, big data, globalization
    
Oracle APAC ZO OD Prime Volume ERP ABM Leads June 2017
Published By: Oracle APAC ZO OD Prime Volume ERP ABM Leads June 2017     Published Date: Jul 12, 2017
Relentless digital developments have created the chance for the finance team to become true strategic leaders across the business—but they have also raised expectations and generated new challenges. In this digibook, we explore the growth of cloud, social, mobile and big data, and how smart CFOs are taking advantage. We show how to use your big data analytics and smooth procurement systems as a launchpad to holding your own in the Digital Age. Each chapter is illustrated by examples from successful businesses that have embraced the new ways of working as well as guidance on how to plan for and implement the changes that are right for you.
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data analytics, digital age, digital transformation, cloud, big data, growth
    
Oracle APAC ZO OD Prime Volume ERP ABM Leads June 2017
Published By: Citrix ShareFile     Published Date: Jul 11, 2017
Accounting is full of big, busy deadlines, which means the ability to take your work home with you could be a game-changer. But can your personal devices ever be secure enough to manage your clients’ sensitive data? Surprisingly, this informative whitepaper shows that, with the right preparation, using your personal device can actually help you keep your firm more secure. Why data encryption is often easier to adopt as part of a cloud initiative What top security threat you are less susceptible to on personal devices How to manage device updates and passwords for the greatest protection
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accounting, mobility, security, data encryption, data
    
Citrix ShareFile
Published By: Citrix ShareFile     Published Date: Jul 11, 2017
It’s 2017. 29% of the global workforce is fully mobile, allowing productivity to skyrocket. Mobility is achievable for any business, but there are significant obstacles along the way. Does your workplace know enough about security and implementation to join in? This Whitepaper will help you overcome the biggest barriers to mobility in your business, such as: Security: How do you make a plan to secure your data against infinite possibilities? Efficiency: How much ROI can you expect, and what expenses should you budget? Implementation: How do you create a mobile solution your employees will love?
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business mobility, efficiency, productivity, data security, employee satisfaction
    
Citrix ShareFile
Published By: Citrix ShareFile     Published Date: Jul 11, 2017
It’s 2017. 29% of the global workforce is fully mobile, allowing productivity to skyrocket. Mobility is achievable for any business, but there are significant obstacles along the way. Does your workplace know enough about security and implementation to join in? This Whitepaper will help you overcome the biggest barriers to mobility in your business, such as: Security: How do you make a plan to secure your data against infinite possibilities? Efficiency: How much ROI can you expect, and what expenses should you budget? Implementation: How do you create a mobile solution your employees will love?
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data security, business mobility, efficiency, employee satisfaction, productivity
    
Citrix ShareFile
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