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Results 201 - 225 of 733Sort Results By: Published Date | Title | Company Name
Published By: Cohesity     Published Date: Mar 26, 2019
Every 14 seconds. That’s how often analysts predict ransomware will attack a business this year. Despite the best efforts to thwart ransomware attacks, cyber criminals are innovative, and they continue to create new malware. This means more sophisticated and targeted ransomware attacks are coming—all with the same goal: Disrupt business operations in the hopes victims will pay to restore order. No industry is immune. And because enterprises are now even more attractive targets than consumers, your organization must proactively prepare for when, not if, cyber criminals come for your data.
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Cohesity
Published By: ServiceNow     Published Date: Sep 18, 2018
Worldpay deployed ServiceNow Performance Analytics to replace multiple data tools and promote the use of analytics throughout its organization for improved decision making. Nucleus found the project enabled the company to boost analyst productivity, while simultaneously increasing data accessibility and engagement for hundreds of additional employees. Download this case study to learn more
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nucleus, research, worldpay, servicenow
    
ServiceNow
Published By: TIBCO Software     Published Date: Aug 13, 2018
Every financial services firm understands the importance of data. More is better. Sooner is better. Accessing it, understanding it, and taking advantage of it before the competition is better. In the mid-2000s, Financial Services was the first industry to strongly adopt data virtualization as a disruptive, new technology for accessing and integrating more data, faster and more easily than ever before. Buy and sell side groups at the largest institutions led the charge, followed soon after by risk management and compliance units. The leading mutual fund providers, along with hedge funds, led the next wave of adoption. In recent years, commercial banks and insurers have accelerated their use of data virtualization. And today, analyst firms such as Gartner, Inc. and Forrester project continued data virtualization adoption for both first-time use at new firms and expanded deployments at existing sites. This whitepaper provides 10 examples of TIBCO Data Virtualization enabled application
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TIBCO Software
Published By: TIBCO Software     Published Date: Feb 13, 2019
Analyst firms Gartner, Inc. and Forrester are projecting accelerated data virtualization adoption for both first-time and expanded deployments. What are the uses cases for this technology? At its Data and Analytics Summit in London in March 2018, Gartner answered this question by identifying 13 data virtualization use cases. This paper explores each of these use cases by: Identifying key requirements Showing how you can apply TIBCO® Data Virtualization to address these needs Listing the benefits you can expect when implementing TIBCO Data Virtualization for the use case
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TIBCO Software
Published By: TIBCO Software     Published Date: Feb 14, 2019
Analyst firms Gartner, Inc. and Forrester are projecting accelerated data virtualization adoption for both first-time and expanded deployments. What are the uses cases for this technology? At its Data and Analytics Summit in London in March 2018, Gartner answered this question by identifying 13 data virtualization use cases. This paper explores each of these use cases by: Identifying key requirements Showing how you can apply TIBCO® Data Virtualization to address these needs Listing the benefits you can expect when implementing TIBCO Data Virtualization for the use case
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TIBCO Software
Published By: Menlo Security     Published Date: Jun 05, 2018
"2017 was marked by a significant number of high-profile cyber breaches. Web malware and phishing played a critical role in the vast majority of these attacks. Watch this webinar to learn from two of the industry’s leading experts – Gartner Research Analyst Peter Firstbrook and Menlo Security CTO Kowsik Guruswamy: *Why web malware and phishing are so pervasive in today's cyber attacks *What the shortcomings of today’s reactive security philosophy are *Why the web continues to present a risk to businesses *How organizations rethink their security strategy moving forward"
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Menlo Security
Published By: Sage Software     Published Date: Jun 20, 2018
Data inundation and information overload have burdened practically every largescale enterprise today, providing great amounts of detail but often very little context on which executives can act. According to the Harvard Business Review, less than half of an organization’s structured data is actively used in making decisions. The burden is felt profoundly among finance executives, who increasingly require fast and easy access to real-time data in order to make smart, timely, strategic decisions. In fact, 80% of analysts’ time is spent simply discovering and preparing data, and the average CFO receives information too late to make decisions 24% of the time.
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sage enterprise management, bms, erp, bom, enterprise accounting, enterprise intelligence, drp, enterprise
    
Sage Software
Published By: Group M_IBM Q2'19     Published Date: Apr 08, 2019
Empowering the Automotive Industry through Intelligent Orchestration With the increasing complexity and volume of cyberattacks, organizations must have the capacity to adapt quickly and confidently under changing conditions. Accelerating incident response times to safeguard the organization's infrastructure and data is paramount. Achieving this requires a thoughtful plan- one that addresses the security ecosystem, incorporates security orchestration and automation, and provides adaptive workflows to empower the security analysts. In the white paper "Six Steps for Building a Robust Incident Response Function" IBM Resilient provides a framework for security teams to build a strong incident response program and deliver organization-wide coordination and optimizations to accomplish these goals.
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Group M_IBM Q2'19
Published By: Group M_IBM Q3'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q3'19
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: Trend Micro     Published Date: Sep 05, 2019
“EDR alone is simply not enough to empower security pros to detect, investigate, and respond to attacks at the pace they need to keep up with modern attackers. A broader detection and response approach is needed.” Register now and receive this exclusive white paper. Dave Gruber, ESG Senior Analyst takes a look at how you can increase the efficiency and effectiveness of detection and response through XDR, along with: • Strategic insight into the current state of threat detection and response, providing you with ESG’s comprehensive research and findings. • Current challenges affecting today’s organizations, including the time and resources required and numerous gaps that EDR exposes. • Valuable foresight into what’s next and how XDR—detection and response across email, endpoint, servers, cloud workloads, and network—can help solve these issues.
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Trend Micro
Published By: TeamQuest     Published Date: Sep 05, 2014
TeamQuest Director of Market Development Dave Wagner and Chris Lynn, Safeway's Capacity Manager and Performance Analyst, cover the application of automatic, exception-oriented analytics to a wide variety of IT and business metrics in order to simultaneously optimize service performance and IT cost. Multiple conceptual approaches are shared, including pros and cons. Most of the presentation includes real examples by which Safeway has integrated performance, capacity, business, and power data into an automated optimization process spanning 1000s of servers and virtual servers and their applications.
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automated analytics, automated optimization, it cost, power data
    
TeamQuest
Published By: Amazon Web Services     Published Date: Apr 16, 2018
SAP and Amazon Web Services (AWS) have jointly developed a cloud-migration test program, Fast Amazon SAP Transformation (FAST), that helps you address time- and cost-related uncertainties when migrating HANA to the AWS cloud. This analyst report from Ovum explores how FAST (a four-step testing process) drastically reduces uncertainties about the time and costs involved in your HANA cloud migration. Download the report now and you’ll discover how FAST can help you: -Quickly quantify costs, risks, and time for migrating SAP ERP applications to the AWS Cloud. -Run your mission-critical applications faster and more reliably Migrate your SAP HANA database to the cloud in only a few days with minimal infrastructure cost Read the Report
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Amazon Web Services
Published By: Urban Airship     Published Date: Oct 18, 2017
FIGHT THE FOMO! MAKE SURE YOU CHOOSE THE RIGHT MOBILE ENGAGEMENT VENDOR You've been tasked with evaluating mobile engagement vendors. Now what? Be sure you’re asking the right questions. We’ve gathered questions 14 key areas to ask vendors based on a few data sets — high-level thoughts from analyst firms like Forrester, the best questions prospective customers ask us, what we wish customers in certain verticals would ask, and more. It's thorough and it’ll give you a solid, informed place to start. Download the RFP template and get: ? A comprehensive list of 150+ questions in 14 key areas — and the business reasons behind asking them ? Recommendations for vertically-specific questions to ensure you’re including what’s most critical to getting your needs met
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Urban Airship
Published By: MarkLogic     Published Date: Nov 07, 2017
Your high-stakes data projects don’t have to end – as analysts predict – in failure. Don’t just rely on legacy technology and outdated thinking - the key is to start your next data project armed with the right technology and mindset to succeed. This paper will give you insights and guidelines to help you learn how to leverage all of your data to reach your data integration objectives with less time and expense than you might imagine. Change is good, and in this paper we’ll give you real-world examples of organizations that embraced change and found success.
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MarkLogic
Published By: Xactly     Published Date: May 11, 2016
Read on to discover how companies are designing and administering their sales compensation plans, and to get additional considerations and summary findings from Xactly analysts based on an analysis of the results.
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sales, sales planning, business management
    
Xactly
Published By: Datarobot     Published Date: May 14, 2018
The DataRobot automated machine learning platform captures the knowledge, experience, and best practices of the world’s leading data scientists to deliver unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users of all skill levels, from business people to analysts to data scientists, to build and deploy highly-accurate predictive models in a fraction of the time of traditional modeling methods
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Datarobot
Published By: Flexential     Published Date: Jul 17, 2019
By 2020, there will be 50 billion devices producing 600Zb of data, driving enterprises to assess their IT infrastructures to keep pace with unprecedented data processing demands. Is your business ready to handle this data explosion? In this on-demand webinar, you’ll hear Tim Parker, Vice President of Network Services at Flexential, and Craig Matsumoto, Senior Analyst of Data Center Services at 451 Research, discuss the evolution of data – and how enterprises are processing and creating it. Download now to hear Parker and Matsumoto examine how edge computing solutions are meeting the latency demands of an increasingly digitized world.
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Flexential
Published By: Dell EMC     Published Date: Aug 01, 2019
Software might run the world, but software still runs on hardware. It’s a misperception that hardware has little value anymore. Every application, every workload, every data set runs on physical servers. Read “Hardware Does Matter: Global Server Brands are Perceived as Superior for Driving Digital Business,” a Frost & Sullivan report of 500 IT decision makers, on the value of global server brands vs. commodity servers. Look beyond commodity status to discover: • Key server purchase criteria • How top brands directly compare • How to choose based on workload Server brands very significantly, and a commodity brand may not provide the outcomes you need, especially for new and next-generation applications. Download this analyst report from Dell EMC and Intel® to learn more.
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Dell EMC
Published By: Oracle OMC     Published Date: Nov 30, 2017
There’s really no mystery about mobile testing. It’s the art and science of building, running, and analyzing optimization tests for mobile customer experiences. But for companies looking to mobilize their websites and apps, the mystery often lies in how to do mobile testing really well. This guide assembles the best advice from analysts, engineers, and thought leaders to help mobile-minded businesses master the non-desktop landscape. You’ll learn how to optimize customer mobile experiences from strategy to execution. Along the way, you’ll get answers to common questions about mobile testing, find out about optimization testing in general, learn key differences between customer experience optimization (CXO) on mobile and desktop, and see how you can use design expertise to create bold and effective mobile experiences. So start reading and boost your understanding of mobile testing and optimization.
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Oracle OMC
Published By: Epicor     Published Date: Mar 31, 2012
This Analyst Insight examines the challenges facing finance executives today, and the ways in which ERP is helping them to overcome these challenges.
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epicor, erp, enterprise resource planning, wholesale and distribution, supply chain, distribution, finance, challenges
    
Epicor
Published By: MessageLabs     Published Date: Sep 25, 2008
A close look at the data provides a clear picture of how spammers vary their tactics to overwhelm traditional corporate email defenses, through changes in duration, frequency and intensity among others. This whitepaper will help you understand these threats to your business, and how MessageLabs provides a unique solution.
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messagelabs, spam, data analyst, traffic, trends, anti-spam, security
    
MessageLabs
Published By: BMC ESM     Published Date: Nov 09, 2009
In this article, customers, analysts and IT experts share strategies to help automate your manual processes and ensure that changes are applied according to configurations - every time. Download the ebook.
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bmc esm, service automation, utility computing, business service management, itil, roi, server compliance
    
BMC ESM
Published By: SAS     Published Date: May 24, 2018
Constant market shifts and changing customer preferences add to the challenge of outperforming your competitors and surpassing stakeholder expectations. But what can be done to steer your organization down the path to greater success? By now, we all know it’s not just historical reporting about the past that will provide the answers needed to drive a business forward. Everyone – from executives and analysts to frontline staff – must have access to insights about the future that will enable them to make the best decisions and take the actions needed to keep their organizations agile. This means the ability to peer into data, explore it, understand it, analyze it and produce insights that provide those aha moments and take actions on it. Such things cannot be done with multiple tools that are rigid, limiting and difficult to use. A new breed of business intelligence is required. Gone are the days when reports looked at singular issues, took possibly days or weeks to create, and required
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SAS
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