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Results 1 - 25 of 257Sort Results By: Published Date | Title | Company Name
Published By: Dell APAC     Published Date: May 29, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Nice Systems     Published Date: Feb 26, 2019
NICE WFM 7.0’s Forecaster unlocks a high level of transparency into interaction history, allowing you to centrally forecast, schedule and manage contacts between multiple locations and ensure that site- and enterpriselevel objectives are met. With more than two thousand customers and two million users depending on its unparalleled ability to fine-tune the most precise forecasts, Forecaster allows you to plan and respond to the peaks and valleys of customer history through automatic collection of key historical data from all types of contact sources: • Automatic call distributors (ACDs) • Outbound dialers • Multi-channel routing platforms • Back-office employee desktops Download today to learn more.
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Nice Systems
Published By: Gigamon     Published Date: Jun 10, 2019
Read this ESG research brief to learn how to improve visibility across distributed computing environments without increasing staff or tools. Download “The Importance of a Common Distributed Data Services Layer” to learn why ensuring visibility in a distributed network environment is crucial and how a common distributed data services layer to collect, process and share data ensures that network operations teams are able to provide better digital experiences, mitigate risk and respond to changing environments.
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Gigamon
Published By: Sierra Wireless     Published Date: Jun 19, 2019
The IoT is transforming the energy industry by eliminating tradeoffs between operation, SCADA systems, maintenance and new services for assets deployed in industrial and power facilities, buildings and across the grid. When it comes to building the best IoT system for your business application, it’s vital to keep your use case and business requirements at the forefront of your technical design strategy. In the energy industry, accessing and collecting data at the edge from disparate, heterogenous, multi-site, fixed topologies and transferring that data efficiently to the cloud to perform analytics and action business decisions is still the greatest challenge. Mission-critical data collected from the edge is integral to energy facility operations and cannot be excluded or corrupted.
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Sierra Wireless
Published By: Infinidat EMEA     Published Date: May 14, 2019
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already under pressure, Big Data footprints are getting larger and posing a huge storage challenge. This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
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Infinidat EMEA
Published By: Group M_IBM Q2'19     Published Date: May 23, 2019
Defense and intelligence agencies want to leverage the data they collect so they can use artificial intelligence to enhance readiness – but most who run these programs don’t know how to get started and find it difficult to make the business case to their leadership. In this research report, created by GovLoop in partnership with IBM, which provides innovative technology solutions for national security and military intelligence, you’re going to learn where your peers stand—and some practical tips on how to get started—even if you think your data is “dirty” or not ready for advanced applications.
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Group M_IBM Q2'19
Published By: Cisco EMEA     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA
Published By: Hewlett Packard Enterprise     Published Date: May 11, 2018
If your business is like most, you are grappling with data storage. In an annual Frost & Sullivan survey of IT decision-makers, storage growth has been listed among top data center challenges for the past five years.2 With businesses collecting, replicating, and storing exponentially more data than ever before, simply acquiring sufficient storage capacity is a problem. Even more challenging is that businesses expect more from their stored data. Data is now recognized as a precious corporate asset and competitive differentiator: spawning new business models, new revenue streams, greater intelligence, streamlined operations, and lower costs. Booming market trends such as Internet of Things and Big Data analytics are generating new opportunities faster than IT organizations can prepare for them.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Oct 24, 2017
Big Data is not just a big buzzword. Government agencies have been collecting large amounts of data for some time and analyzing the data collected to one degree or another. Big data is a term that describes high volume, variety and velocity of information that inundates an organization on a regular basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and better services.
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cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Feb 05, 2018
As businesses plunge into the digital future, no asset will have a greater impact on success than data. The ability to collect, harness, analyze, protect, and manage data will determine which businesses disrupt their industries, and which are disrupted; which businesses thrive, and which disappear. But traditional storage solutions are not designed to optimally handle such a critical business asset. Instead, businesses need to adopt an all-flash data center. In their new role as strategic business enablers, IT leaders have the responsibility to ensure that their businesses are protected, by investing in flexible, future-proof flash storage solutions. The right flash solution can deliver on critical business needs for agility, rapid growth, speed-to-market, data protection, application performance, and cost-effectiveness—while minimizing the maintenance and administration burden.
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data, storage, decision makers, hpe
    
Hewlett Packard Enterprise
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: Freshdesk     Published Date: Aug 15, 2016
When 76% of consumers say they view customer service as the true test of how much a company values them, you have to make sure that your strategy, and tool, are top notch. Here's a collection of best practices, drawn from our conversations with customers, to help you improve your agents' productivity and win customer love. In this whitepaper, we detail how you can - Provide your agents with complete context by pulling data from your third party systems into your helpdesk - Reduce ticket volume and help customers help themselves by setting up a knowledge base - Automatically assign tickets to the right team with ease thus reducing your agent's workload and many more!
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Freshdesk
Published By: Commvault     Published Date: Jul 06, 2016
Email is the backbone of today’s corporate business processes. It lives as the primary communication vehicle internally between employees and externally with customers, vendors, partners and investors. It is arguably today’s most pervasive and critical business application within which is stored the most valuable business content. To protect this vital information while working to eliminate risk, lower management costs and improve business insight, companies require a comprehensive email archiving solution. This solution should not only work to effectively retain email information in a searchable repository, the best email archiving solutions also provide a smarter approach to collecting, retaining and accessing data so that it can deliver true business value.
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commvault, email archiving, data protection, email archiving solution, mailbox archiving, reduce bloat, o365, it management
    
Commvault
Published By: SAS     Published Date: Jan 17, 2018
For many of us, the term “smart city” conjures up images of sensors collecting data about everything from traffic patterns to energy use. It’s common for government leaders to think, “That’s not for us. We’re not there yet.” But if your organization is collecting data of any kind, you are in a position to use that data to create a smarter city for your citizens. Download this whitepaper for 10 examples of analytics being used to solve problems or simplify tasks for government organizations.
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SAS
Published By: Dell EMC     Published Date: Aug 17, 2018
Dell EMC technology for Digital Manufacturing harnesses the workstation, HPC and storage capabilities that combine to enable better products, more efficient design and production processes, and meet rapidly changing customer preferences. Collecting, collating and digesting more and more data in the entire ecosystem, from product modelling to after-sales trends, are making the digital factory a powerful and necessary reality in the manufacturing landscape.
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Dell EMC
Published By: Dell EMC     Published Date: Nov 26, 2018
Dell EMC technology for Digital Manufacturing harnesses the workstation, HPC and storage capabilities that combine to enable better products, more efficient design and production processes, and meet rapidly changing customer preferences. Collecting, collating and digesting more and more data in the entire ecosystem, from product modelling to after-sales trends, are making the digital factory a powerful and necessary reality in the manufacturing landscape. Learn more about Dell Precision® workstations featuring Intel® Xeon® processors
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Dell EMC
Published By: Dell EMC     Published Date: Nov 26, 2018
Dell EMC technology for Digital Manufacturing harnesses the workstation, HPC and storage capabilities that combine to enable better products, more efficient design and production processes, and meet rapidly changing customer preferences. Collecting, collating and digesting more and more data in the entire ecosystem, from product modelling to after-sales trends, are making the digital factory a powerful and necessary reality in the manufacturing landscape. Learn more about Dell Precision® workstations featuring Intel® Xeon® processors
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Dell EMC
Published By: Dell EMC & Intel     Published Date: Mar 16, 2018
Your company is collecting more data than ever before; your customers’ pain points, habits, and desires all flow in and out of your business each second. To mine the most value from that data, and to get the answers you need at a competitive speed, you need to employ server solutions powerful enough to handle complex analytics software. In the Principled Technologies datacenter, we compared a legacy Dell EMC™ PowerEdge™ R720xd to the new PowerEdge R740xd (powered by Intel® Xeon® Scalable processors) in three storage configurations: with basic hard drives, with SATA SSDs, and with NVMe SSDs. Intel Inside®. New Possibilities Outside.
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Dell EMC & Intel
Published By: TIBCO Software GmbH     Published Date: Jan 22, 2019
The Internet of Things (IoT) didn’t just connect everything everywhere; It laid the groundwork for the next industrial revolution. Connected devices sending data was only one achievement of the IoT—but one that helped solve the problem of data spread across countless silos that was not collected because it was too voluminous and/or too expensive to analyze. Now, with advances in cloud computing and analytics, cheaper and more scalable factory solutions are available. This, in combination with the cost and size of sensors continuously being reduced, supplies the other achievement: the possibility for every organization to digitally transform. Using a Smart Factory system, all relevant data is aggregated, analyzed, and acted upon. Sensors, devices, people, and processes are part of a connected ecosystem providing: • Reduced downtime • Minimized surplus and defects • Deep insights • End-to-end real-time visibility
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TIBCO Software GmbH
Published By: Acxiom Corporation     Published Date: Mar 12, 2014
In July 2013 Acxiom commissioned Forrester Consulting to evaluate how companies use the data they collect from their customers to make better decisions on their marketing campaigns by gauging their experiences and attitudes around their use of and future vision for using customer data across multiple marketing channels. In order to understand this topic, we conducted interviews with 11 executives representing a range of roles and perspectives, including consumer packaged goods companies, financial services organizations, and agencies.
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acxiom, forrester, data, marketing, marketing campaigns, cross channel, customer data, market research, targeting, data analytics, life cycle management
    
Acxiom Corporation
Published By: Akamai Technologies     Published Date: Aug 17, 2017
The cloud is a network of servers housing data, software, and services. Cloud services are commonly accessed via the Internet, instead of locally in a data center. Businesses are increasingly relying on the cloud for cybersecurity for two key reasons: 1. Due to a changing threat landscape, there’s a need for more scale, accuracy, experience, and collective intelligence. These resources are out of reach internally for most organizations. 2. There are fundamental limits with on-premises hardware mitigation appliances and enterprise data centers for Distributed Denial of Service (DDoS) and web attack protection.
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cloud security, scale, data center, ddos
    
Akamai Technologies
Published By: SAS     Published Date: Apr 16, 2015
As big data shifts away from a more theoretical concept (only adopted by those on the leading edge), the fun can really begin. How do you prepare for more information than you’ve ever collected before? How can you manage this information with the same standards you applied in the past? These are questions that are causing both IT and business sides to start actively preparing for – and implementing – big data.
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SAS
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