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Published By: Oracle     Published Date: Nov 28, 2017
Today’s leading-edge organizations differentiate themselves through analytics to further their competitive advantage by extracting value from all their data sources. Other companies are looking to become data-driven through the modernization of their data management deployments. These strategies do include challenges, such as the management of large growing volumes of data. Today’s digital world is already creating data at an explosive rate, and the next wave is on the horizon, driven by the emergence of IoT data sources. The physical data warehouses of the past were great for collecting data from across the enterprise for analysis, but the storage and compute resources needed to support them are not able to keep pace with the explosive growth. In addition, the manual cumbersome task of patch, update, upgrade poses risks to data due to human errors. To reduce risks, costs, complexity, and time to value, many organizations are taking their data warehouses to the cloud. Whether hosted lo
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Oracle
Published By: Oracle ZDLRA     Published Date: Jan 10, 2018
Business leaders expect two things from IT: keep mission-critical applications available and high performing 24x7 and, if something does happen, recover to be back in business quickly and without losing any critical data so there is no impact on revenue stream. Of course, there is a gap between this de facto expectation from nontechnical business leaders and what current technology is actually capable of delivering. For mission-critical workloads, which are most often hosted on databases, organizations may choose to implement high availability (HA) technologies within the database to avoid downtime and data loss.
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recovery point, recovery time, backup appliance, san/nas, service level agreement, oracle
    
Oracle ZDLRA
Published By: Oracle ZDLRA     Published Date: Jan 10, 2018
Traditional backup systems fail to meet the database protection and recovery requirements of modern organizations. These systems require ever-growing backup windows, negatively impact performance in mission-critical production databases, and deliver recovery time objectives (RTO) and recovery point objectives (RPO) measured in hours or even days, failing to meet the requirements of high-volume, high transactional databases -- potentially costing millions in lost productivity and revenue, regulatory penalties, and reputation damage due to an outage or data loss.
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data protection, backup speed, recovery, overhead, assurance, storage, efficiency, oracle
    
Oracle ZDLRA
Published By: Group M_IBM Q1'18     Published Date: Jan 04, 2018
As organizations seek to extract more strategic value from their data, many are starting to view data governance as an enabler of insight rather than an impediment to its creation. This report explores a leading approach to data governance and the impact it can have on today’s most data-rich organizations.
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data governance, data-rich organizations
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Jan 04, 2018
For data-driven businesses, cloud can be a boon. Data can be found, processed and managed on the cloud without an investment in local hardware infrastructure, but what does that mean to information trust and governance? When data comes from cloud-based sources, IT needs a plan for data integration and security. Download this insightful white paper and learn the four key priorities you must consider when developing your IT strategy to promote good hybrid information governance. Learn the blend of process, organizational and technical enablers that will allow you to move to a hybrid environment with speed and confidence.
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data-driven business, cloud, information trust, information governance, data integration, data security, it strategy
    
Group M_IBM Q1'18
Published By: Sitecore EMEA     Published Date: Jan 23, 2018
The global beauty company provides an exhilarating example of the power of context-driven commerce. When customers can rely on brands to achieve the outcomes that are important to them, brand owners can shift their focus from nonstop customer acquisition to long-term customer engagement. The Sitecore Experience Platform and the underlying Sitecore Experience Database are foundation technologies for IT organizations wanting to implement context-driven commerce environments that function elegantly today and into the future. Sitecore puts an end to digital retailers’ obsession with cart abandonment, replacing it with opportunities to delight customers with personal, meaningful commerce offers.
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advertising, revenue, customers, social channels, sitecore
    
Sitecore EMEA
Published By: Pure Storage     Published Date: Jan 12, 2018
Everybody’s talking about big data. Huge promises have been made about its role in driving enterprises forward. But few organizations are realizing its true benefits. For those able to put data to good use, there’s much to be excited about. Data is transforming not only businesses, but entire industries, and the world as we know it. Today organizations are harnessing big data to do things like transform healthcare, provide eyesight for the visually impaired, and bringing us closer to autonomous cars
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automated intelligence, data, industry, autonomous, industrial, pure storage
    
Pure Storage
Published By: CA Technologies     Published Date: Jul 20, 2017
Mainframes continue to provide high business value by combining efficient transaction processing with high-volume access to critical enterprise data. Business organizations are linking mobile devices to mainframe processing and data to support digital applications and drive business transformation. In this rapidly growing scenario, the importance of providing excellent end-user experience becomes critical for business success.This analyst announcement note covers how CA Technologies is addressing the need for providing high availability and a fast response time by optimizing mainframe performance with new machine learning and analytics capabilities.
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CA Technologies
Published By: Mimecast     Published Date: Nov 28, 2017
With the pending EU General Data Protection Regulation (GDPR), your organization must consider a wide variety of changes for compliance if you hold EU resident data. Your organization should look at GDPR as an opportunity to modernize storage, compliance and security needs. But what services should be considered? Download to learn more including: • How the right providers can help you build a business case for GDPR compliance • Ways providers can directly aid in the compliance process • Why the right tools can help with not just technology but process changes as well
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software provider, cloud service provider, gdpr
    
Mimecast
Published By: Mimecast     Published Date: Nov 28, 2017
Does your organization have a plan for complying with the European Union’s General Data Protection Regulation (GDPR)? If email isn’t a part of that plan, you could face significant challenges, including severe financial penalties. Download now to get the facts about: • Why you can’t compromise when it comes to protection of email data • The challenges presented by Subject Area Requests • How noncompliance could cost your organization more than just money
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gdpr, email compliance, data protection, compliance
    
Mimecast
Published By: Carbonite     Published Date: Jan 04, 2018
Backup alone is not enough anymore. Businesses today must put a range of recoverability options in place. That’s why it is encouraging to see Carbonite, a data protection company with cloud and hybrid offerings, making fresh moves to help organizations evolve beyond legacy backup. Years ago, Carbonite pioneered cloud backup for endpoint devices. Then it expanded, buying EVault in 2015 and DoubleTake in 2017. Just as Carbonite has long been at the forefront of offering what people need from cloud-based data backup, it now appears to be just as intent on providing what IT organizations need—hybrid data protection media and mechanisms.
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Carbonite
Published By: Carbonite     Published Date: Jan 04, 2018
These days, a lot of organizations are looking to the cloud to help them protect their data. They wish to take advantage of the appealing economics and operational agility that are two of the biggest attributes of a cloud-based IT infrastructure. Leveraging the cloud can be a smart choice for any organization interested in gaining more control over costs (i.e., almost all organizations). According to ESG research, reducing costs was the second most commonly reported business driver affecting IT spending in 2016.
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Carbonite
Published By: Mimecast     Published Date: Nov 28, 2017
With the healthcare industry as the #1 target for ransomware attacks, it’s critical to ensure steps are taken to prevent, detect and respond to these attacks without downtime – and without loss of patient data. A multi-layered approach to protective controls – including a Secure Email Gateway (SEG) with advanced threat protection capabilities – will start your healthcare organization on the right path to ransomware resilience. Download and use this top 10 list of how to protect your organization now. Use it as a reference tool for frequent health checks of your own ransomware resilience program.
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healthcare, ransomware, ransomware attack, seg, secure email gateway
    
Mimecast
Published By: IBM     Published Date: Oct 17, 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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IBM
Published By: Amazon Web Services     Published Date: Feb 01, 2018
Moving Beyond Traditional Decision Support Future-proofing a business has never been more challenging. Customer preferences turn on a dime, and their expectations for service and support continue to rise. At the same time, the data lifeblood that flows through a typical organization is more vast, diverse, and complex than ever before. More companies today are looking to expand beyond traditional means of decision support, and are exploring how AI can help them find and manage the “unknown unknowns” in our fast-paced business environment.
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predictive, analytics, data lake, infrastructure, natural language processing, amazon
    
Amazon Web Services
Published By: Mimecast ABM Q4     Published Date: Nov 22, 2017
Mimecast Cloud Archive has long set the industry standard for enterprise information archiving, helping to keep corporate knowledge available, protecting and preserving it while simplifying management and administration. By aggregating data across multiple platforms, organizations gain long-term business insights and create a secure, digital corporate memory while at the same time reducing costs and risks for legal and compliance teams. IT teams can reduce administrative overhead with streamlined management and simplified data recovery. Anytime, anywhere access to archive data improves employee productivity and efficient workflow efficiency. Customers can rest assured that their data is always-available, always-replicated and always-safe.
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datenarchivierung, verantwortlich, eigentlich, organisation, it-mitarbeitern, wissensarbeiter, fuhrungsebene
    
Mimecast ABM Q4
Published By: Zendesk     Published Date: Jan 19, 2018
The future is unknown and the unknown can be both exciting and frightening. Thankfully, we believe Gartner’s new report, “Predicts 2018: CRM and Customer Experience”, can help prepare your business for the evolving world of CRM and the customer experience. According to Gartner, “By 2020, the CRM application software market will overtake the data management market, thus becoming the largest of all software markets.” With this in mind, it’s important for application leaders to take action to avoid losing out. Learn how you can plan your customer service organization more strategically and maximize your business' efforts.
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customer support software, customer service tool, customer relationship, multichannel support tool, customer support vendor evaluation, knowledge base management, help desk software, help desk portal
    
Zendesk
Published By: AstuteIT_ABM_EMEA     Published Date: Feb 02, 2018
The demand for databases is on the rise as organizations build next-generation business applications. NoSQL offers enterprise architecture (EA) pros new choices to store, process, and access new data formats, deliver extreme web-scale, and lower data management costs. Forrester’s 26-criteria evaluation of 15 big data NoSQL solutions will help EA pros understand the choices available and recommend the best for their organization. This report details our findings about how each vendor fulfills our criteria and where they stand in relation to each other to help EA.
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nosql, market, industries, strategy, presence, vendor
    
AstuteIT_ABM_EMEA
Published By: AstuteIT_ABM_EMEA     Published Date: Feb 02, 2018
Cyber-crime is forecast to cost the global economy $6 trillion by 2021, up from $3 trillion in 2016. Described by some as the “greatest threat to every company in the world”, public concern for the safety of data is growing – not just in how criminals might use stolen data to commit fraud, but also in how personal data is used by the organizations we engage with.
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data, cyber crime, company, personal, management, gdpr
    
AstuteIT_ABM_EMEA
Published By: AstuteIT_ABM_EMEA     Published Date: Feb 02, 2018
The relational database has been the foundation of enterprise data management for over thirty years. But the way we build and run applications today, coupled with unrelenting growth in new data sources and growing user loads are pushing relational databases beyond their limits. This can inhibit business agility, limit scalability and strain budgets, compelling more and more organizations to migrate to alternatives like MongoDB or NoSQL databases.
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rdbms, mongodb, migration, data, enterprise, management
    
AstuteIT_ABM_EMEA
Published By: Oracle     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
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Oracle
Published By: Oracle     Published Date: Oct 20, 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. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most compani
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Virtually every business-oriented conversation Wikibon has with senior IT leaders includes a discussion of digital transformation. The relevance to this research is the increasing interdependency between organizations and the data they use, create, access, share and store. Digital means data and lots of it; and this data must be protected. The data requirements facing organizations today as a direct result of digital initiatives are unprecedented and require new approaches for protecting and enabling recovery for high value data assets. Governments around the world are trying to keep pace with the digital tsunami and new/evolving regulations will further pressure data protection and recovery requirements. For example, the EU’s General Data Protection Regulation (GDPR) states that organizations must take appropriate measures to ensure the ability to restore personal data “in a timely manner in the event of a physical or technical incident.” Beginning in May of 2018, penalties for non-co
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Oracle
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