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Results 1 - 25 of 414Sort Results By: Published Date | Title | Company Name
Published By: Experian     Published Date: Sep 26, 2019
"We are in an age of unprecedented opportunity, where ubiquitous data and new technologies are shaping the world and dramatically changing the way consumers interact with businesses like yours. The rise of fintech companies is driving competition, e-commerce has raised the bar for digital experiences, fraud is at an all-time high, and there is pressure to grow your business. You need to meet these challenges head on and do it in a way that can scale with the increasing volume — and value — of customers. All while meeting and exceeding customer expectations. We believe rapid, sustainable growth can be fuelled by acquiring the right customers and delivering customer experiences that align with their expectations. To succeed you need a comprehensive, unified view into your customers and their needs. As a business leader, how do you achieve these objectives? What can you do to attract and acquire new customers? What tools do you need to quickly act on insights and to make consistent, relev
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Experian
Published By: Trend Micro     Published Date: Aug 13, 2019
While threat prevention continues to improve with the use of advanced techniques, adversaries are outpacing these advances requiring security teams to implement threat detection and response programs. Security teams are often addressing the process haphazardly, using disconnected point tools and manual processes that consume too many analysts and result in slow mean-time to detection and response. While EDR has enabled security teams to take important steps forward for detection and response, ultimately it can only look at the endpoints which limits the scope of threats that can be detected and if something is detected, limits the view of who and what is affected and thus, how best to respond. ESG therefore recommends looking beyond the endpoint and utilizing natively integrated security solutions across more than just one vector to improve detection and response times. The more data you can knit together, the more effective you can be to uncover the security incidents most dangerous to your organization. Watch this webinar to learn about the value of XDR: connecting detection and response across multiple security layers. Dave Gruber, senior analyst at ESG, shares recent research and his views on the evolution of threat detection and response; making the case for expanding the capabilities and expectations of detection and response solutions. Wendy Moore, VP of Product Marketing, discusses Trend Micro’s own XDR strategy and the unique value that Trend Micro can bring to detection, investigation and response.
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Trend Micro
Published By: Iovation     Published Date: Aug 02, 2019
The digitalization of business processes and the advent of mobile computing have given rise to the next generation of fraud. Cybercriminals have a variety of tools and techniques—as well as opportunities—to steal money and services. Furthermore, traditional fraud prevention tools often fail to stop this fraudulent activity. Companies need a new approach to fraud prevention—one that stops fraud early and preserves the user experience. Companies with an online presence must have the ability to: Detect and respond to fraudulent activity before incurring losses Leverage human insight and machine learning to identify advanced fraud Work with other fraud analysts to identify larger fraud trends and stop cybercriminals on a global scale Block more fraud while reducing fraud prevention costs This book explores how companies can leverage a next-generation fraud prevention solution to stop more fraud while reducing costs and providing a positive user experience for trusted customers.
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Iovation
Published By: KPMG     Published Date: Oct 04, 2019
New technologies have the potential to transform the finance function. But are financial reporting teams ready to embrace them? We surveyed nearly 100 technical accounting and financial reporting professionals to find out. Read this report to learn: • How automation is being integrated into working processes – now and going forward • What the roadmap to automation looks like • Where your finance function should be heading • Which tools to use to help transform your financial reporting teams • What potential barriers lie ahead and how to overcome them.
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KPMG
Published By: ttec     Published Date: Oct 01, 2019
In an age of tech-savvy customers and self-service channels, do companies still need to invest in contact centers and staff to provide support? The answer is, yes. Consumers have been trained to find the information they need on their own online or with their mobile device. But when they do pick up to the phone and reach out to customer service, they expect representatives to solve what are often complex questions. They expect human interactions. This enormous shift in which customer service representatives are perceived as a last resort puts increased pressure on contact center associates who already have the odds stacked against them. The staff must be trained to quickly handle issues that frequently require access to a wide variety of information, but a lack of investment means many associates are often unprepared and lack the right resources to help customers. To change the outcome, customer service representatives need the right training and tools to not only understand the issue,
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ttec
Published By: Ricoh     Published Date: Mar 11, 2019
Today’s CIOs no longer just oversee technology. They are now key strategists who guide their organizations and give them the tools they need to stay competitive. A study by Forbes Research stated that five years ago, a CIO’s most critical skill was deploying technology. Now, the #1 way that CIOs provide value is by contributing to the corporate strategy, so they can advance business objectives and drive revenue.1 In particular, CEOs rely on the CIO for guidance around digital transformation. Organizations must transform how they operate and take advantage of new technologies to better engage customers and employees. Digital transformation falls squarely on the shoulders of IT leaders. CIOs are under pressure to drive transformation – overcoming barriers such as cultures that are resistant to change, employees who want to upload files anywhere, and increased concerns about data security. CEOs also expect CIOs to achieve results now. The longer you wait, the more likely you will fall beh
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Ricoh
Published By: Cisco     Published Date: Mar 22, 2019
Artificial intelligence (AI) and machine learning (ML) are emerging technologies that will transform organizations faster than ever before. In the digital transformation era, success will be based on using analytics to discover the insights locked in the massive volume of data being generated today. Historically, these insights were discovered through manually intensive data analytics—but the amount of data continues to grow, as does the complexity of data. AI and ML are the latest tools for data scientists, enabling them to refine the data into value faster.
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Cisco
Published By: Entrust Datacard     Published Date: Mar 20, 2017
As digital business evolves, however, we’re finding that the best form of security and enablement will likely remove any real responsibility from users. They will not be required to carry tokens, recall passwords or execute on any security routines. Leveraging machine learning, artificial intelligence, device identity and other technologies will make security stronger, yet far more transparent. From a security standpoint, this will lead to better outcomes for enterprises in terms of breach prevention and data protection. Just as important, however, it will enable authorized users in new ways. They will be able to access the networks, data and collaboration tools they need without friction, saving time and frustration. More time drives increased employee productivity and frictionless access to critical data leads to business agility. Leveraging cloud, mobile and Internet of Things (IoT) infrastructures, enterprises will be able to transform key metrics such as productivity, profitabilit
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Entrust Datacard
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"Principled Technologies executed four typical deployment and management scenarios using both HPE Synergy and Cisco UCS. They found that HPE Synergy saved 71.5 minutes and 86 steps, and used four fewer tools compared to Cisco UCS. In a hypothetical 200-node datacenter, that’s a total of 9 work weeks, or just over 2 months’ time savings on routine tasks."
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Hewlett Packard Enterprise
Published By: HERE Technologies     Published Date: Mar 26, 2019
The retail sector has been expanding with each passing decade thanks to intelligent marketing, intense research around customer behavior, creative advertising, and the adoption of new technology. Now industry movers and shakers are looking to boost sales with location intelligence. With location intelligence, retail companies can track and predict consumer trends and shifts in demand. With these insights companies can capitalize on growth opportunities in new product or service areas. HERE Open Location Platform provides powerful, easy-to-use developer tools, standardized technology and scalable infrastructure to simplify the processing of location-based data. Learn how to gain a competitive edge with HERE Technologies.
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location data, mapping, here technologies
    
HERE Technologies
Published By: Cisco EMEA     Published Date: May 15, 2018
Your employees, customers, and partners need the ability to connect and collaborate, at any time, from any location—across time zones or simply across the conference table. And those workplaces are expanding faster than ever, powered by mobile and cloud usage that makes virtual meetings essential. With scalable and secure voice, video, and content sharing, real-time collaboration can happen anywhere. Staying connected can lead to improved productivity and faster decision-making, as well as better customer service. But only if the technology offers a seamless experience and is intuitive enough to drive user adoption. While the need for better meetings is universal, not all conferencing tools are the same. Choosing the wrong tool could actually decrease productivity by wasting valuable meeting time troubleshooting the technology, or by providing a negative experience that will deter users from embracing it. This is especially true in situations where poor meeting quality could impact
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Cisco EMEA
Published By: Spectrum Enterprise     Published Date: May 28, 2019
Technology is meant to make our lives easier and more efficient. When it’s done right, it can accelerate and transform the way individuals and businesses operate. So, when it comes to something as essential as communications, the technology can make or break your organization’s productivity. In today’s fast-paced business environment, you can’t afford to miss a call. And communications technologies have expanded to include collaboration tools, as well as basic and advanced voice functions, like ‘on-the-fly’ call routing. Add to that the growing need for anywhere, anytime access to voice and collaboration tools and you end up with the perfect storm of complexity and lost productivity – just the opposite of what you were aiming for.
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Spectrum Enterprise
Published By: Hitachi Vantara     Published Date: Mar 08, 2019
In a perfect world, downtime would be a thing of the past, however, as organizations continue their digital transformation journeys, more data assets are being created—generating, in turn, higher availability demands. Delivering on availability service levels is not just a technical responsibility, but also a business imperative extending well beyond IT. The consequences of failing to meet service levels can be dire and costly. Read this white paper to learn how the right tools can minimize downtime.
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Hitachi Vantara
Published By: SAP     Published Date: May 18, 2014
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
Download this whitepaper to learn the results of this latest exploration of the emerging world of in-memory database technologies.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
For years, experienced data warehousing (DW) consultants and analysts have advocated the need for a well thought-out architecture for designing and implementing large-scale DW environments. Since the creation of these DW architectures, there have been many technological advances making implementation faster, more scalable and better performing. This whitepaper explores these new advances and discusses how they have affected the development of DW environments.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
Big data and personal data are converging to shape the internet’s most surprising consumer products. they’ll predict your needs and store your memories—if you let them. Download this report to learn more.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. It analyzes the results from a user survey, conducted on SAP's behalf by IDC, that explores these issues.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
The technology market is giving significant attention to Big Data and analytics as a way to provide insight for decision making support; but how far along is the adoption of these technologies across manufacturing organizations? During a February 2013 survey of over 100 manufacturers we examined behaviors of organizations that measure effective decision making as part of their enterprise performance management efforts. This Analyst Insight paper reveals the results of this survey.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
This paper explores the results of a survey, fielded in April 2013, of 304 data managers and professionals, conducted by Unisphere Research, a division of Information Today Inc. It revealed a range of practical approaches that organizations of all types and sizes are adopting to manage and capitalize on the big data flowing through their enterprises.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
Over the course of several months in 2011, IDC conducted a research study to identify the opportunities and challenges to adoption of a new technology that changes the way in which traditional business solutions are implemented and used. The results of the study are presented in this white paper.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
Forrester conducted in-depth surveys with 330 global BI decision-makers and found strong correlations between overall company success and adoption of innovative BI, analytics, and big data tools. In this paper, you will learn what separates the leading companies from the rest when it comes to exploiting innovative technologies in BI and analytics, and what steps you can take to either stay a leader or join their ranks.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
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