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By: Alteryx, Inc.     Published Date: Apr 21, 2017
The traditional multiple-step, multi-tool legacy approach is a slow, time-consuming, and in most cases, a costly process that prevents organizations from making faster decisions with confidence. Data analysts today need an agile solution that empowers them to take charge of the entire analytics process. Download The Definitive Guide to Self-Service Data Analytics to: Understand why traditional analytic tools designed for data scientists are not ideal for data analysts like you Learn how self-service data analytics delivers the ease of use, speed, flexibility, and scalability you require See how Alteryx stacks up against traditional data prep and analytics tools
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     Alteryx, Inc.
By: Alteryx, Inc.     Published Date: Apr 21, 2017
Data Analytics has become critical for many business decision makers. However, many of these managers and data analysts still rely on spreadsheets and other legacy-era tools that fall far short of current needs. As a result, they also rely heavily on a virtual army of data specialists and scientists, working under the auspices of a centralized analytics group, to prepare, blend, analyze, and even report on the critical data they need for decision making. Download this new paper to get the details behind self-service data analytics, and how it lets business analysts: Take charge of the entire analytical process, instead of relying on other departments Overcome limitations of legacy tools to save time and prevent errors Make more comprehensive and insightful business decisions at speed
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     Alteryx, Inc.
By: Alteryx, Inc.     Published Date: Apr 21, 2017
Analysts struggle to incorporate new sources of data into their analysis because they rely on Microsoft Excel or other tools that were not designed for data blending. Deleting columns, parsing data, and writing complicated formulas to clean and combine data every time it changes is not an efficient way for today’s analysts to spend their time. Download The Definitive Guide to Data Blending and: Understand how analysts are empowered through data blending Learn how to automate time-consuming, manual data preparation tasks Gain deeper business insights in hours, not the weeks typical of traditional approaches
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     Alteryx, Inc.
By: OneLogin     Published Date: Oct 24, 2017
From the information provided in the interviews, Forrester has constructed a Total Economic Impact (TEI) framework for those organizations considering investing in OneLogin. The objective of the framework is to identify the benefits, costs, flexibility, and risk factors that affect the investment decision. Forrester employed four fundamental elements of TEI in modeling OneLogin: benefits, costs, flexibility options, and risks. Forrester took a multistep approach to evaluate the impact that OneLogin can have on the Organization (see Figure 2). Specifically, we: › Interviewed OneLogin marketing, sales, and product management personnel, along with Forrester analysts, to better understand the value proposition for OneLogin. › Conducted an in-depth interview with the Organization’s senior application engineer and its supervisor of IT security to obtain data with respect to costs, benefits, and risks. › Constructed a financial model representative of the interviews using the TEI metho
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     OneLogin
By: Red Hat     Published Date: Jan 02, 2018
Organizations are at a strategic crossroads. According to IDC analysts,1 two-thirds of CEOs will center their corporate strategies around digital transformation initiatives. The goal of digital transformation is only partly to make existing functions more effective. The greater goal is to be able to do new things and use existing data in new, better ways. Yet, 72% of current IT spending2—and the focus of IT resources—is on maintaining existing systems. This creates tension between what needs to be done today and what should be done for the future. Middle-tier applications, according to IDC,3 are the core of a digital transformation strategy because they provide data integration, messaging, and application programming interface (API) management. Middle-tier applications also provide a platform for application development and management that can handle traditional enterprise applications and cloud-native, distributed applications. Specifically, a Java™ EE-based application platform can
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     Red Hat
By: IBM     Published Date: May 09, 2018
Does the future of digital trust lie in artificial intelligence (AI)? Join the conversation between Valerie Bradford, product marketing manager at IBM Security, and Andras Cser, vice president and principal analyst serving security and risk professionals at Forrester, to discover how AI is changing the landscape of digital identity. Key takeaways: Understand how AI is helping organizations respond to current changes in the threat landscape. Examine how companies are using AI to establish trust in digital identities. Hear how AI is changing the end-to-end customer journey by improving the digital experience.
Tags : digital trust, security, digital identity
     IBM
By: Group M_IBM Q418     Published Date: Sep 10, 2018
Far from being a soft issue, trust underpins the management of your digital business and digital ecosystems. This report highlights how trust is fundamental to your digital transformation. It focuses on the role of trust in the B2B context and analyzes the key technologies, processes, and operational values that CIOs and their teams must use to build and maintain trusted ecosystem partnerships.
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     Group M_IBM Q418
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
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
Tags : nucleus, research, worldpay, servicenow
     ServiceNow
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
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
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
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
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.
Tags : sage enterprise management, bms, erp, bom, enterprise accounting, enterprise intelligence, drp, enterprise, mrp
     Sage Software
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.
Tags : automated analytics, automated optimization, it cost, power data
     TeamQuest
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
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
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
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.
Tags : sales, sales planning, business management
     Xactly
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
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
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.
Tags : epicor, erp, enterprise resource planning, wholesale and distribution, supply chain, distribution, finance, challenges, enterprise, stability, visibility, back-office, enterprise applications
     Epicor
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.
Tags : messagelabs, spam, data analyst, traffic, trends, anti-spam, security, data management
     MessageLabs
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.
Tags : bmc esm, service automation, utility computing, business service management, itil, roi, server compliance
     BMC ESM
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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