it analytics

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Consolidate your data analytics servers with the Dell EMC PowerEdge R740xd (German)

Published By: Dell EMC & Intel     Published Date: Apr 13, 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 powered by Intel® Xeon® Platinum processor’ 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

Forrester - Why Data Center Modernization Is Critical To Business Success

Published By: Dell EMC Storage     Published Date: Aug 15, 2019
The digital era has ushered in a proliferation of data that powers modern businesses. When leveraged properly, organizations are seeing the potential of data to drive better outcomes across all aspects of their business. Using data to support different workflows, analytics, and activities transforms it into data capital — a digital asset that will drive value for the business. The extent to which an enterprise aligns its organization around this data capital mindset — in both the way they use data and the way they invest in data technology — can have lasting impacts on the success of the business. In February 2019, Dell EMC and Intel commissioned Forrester Consulting to evaluate whether the ability to harness and apply data and analytics at every opportunity is fast becoming a prerequisite for success. To test this, Forrester conducted a global survey of 516 IT decision makers. The survey found that companies with more mature data capital practices — leveraging more data types, managin
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Dell EMC Storage

Vanson Bourne - Global Data Protection Index III

Published By: Dell EMC Storage     Published Date: Aug 15, 2019
The digital era is changing the way that organizations think about, protect, and monetize data. Now more than ever they are pushing to be digitally-driven, and to achieve this they must be data-driven. Data powers everything in modern organizations; analytics, digital experiences, IoT, and artificial intelligence are notable examples. All are essential to organizations that want to succeed in a digitally transformed world, but they simply cannot function without data. This is driving the shift from data as a static digital asset to data as a strategic business asset.
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Dell EMC Storage

Vanson Bourne - Global Data Protection Index III

Published By: Dell EMC Storage     Published Date: Sep 03, 2019
The digital era is changing the way that organizations think about, protect, and monetize data. Now more than ever they are pushing to be digitally-driven, and to achieve this they must be data-driven. Data powers everything in modern organizations; analytics, digital experiences, IoT, and artificial intelligence are notable examples. All are essential to organizations that want to succeed in a digitally transformed world, but they simply cannot function without data. This is driving the shift from data as a static digital asset to data as a strategic business asset.
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Dell EMC Storage

Forrester - Why Data Center Modernization Is Critical To Business Success

Published By: Dell EMC Storage     Published Date: Sep 03, 2019
The digital era has ushered in a proliferation of data that powers modern businesses. When leveraged properly, organizations are seeing the potential of data to drive better outcomes across all aspects of their business. Using data to support different workflows, analytics, and activities transforms it into data capital — a digital asset that will drive value for the business. The extent to which an enterprise aligns its organization around this data capital mindset — in both the way they use data and the way they invest in data technology — can have lasting impacts on the success of the business. In February 2019, Dell EMC and Intel commissioned Forrester Consulting to evaluate whether the ability to harness and apply data and analytics at every opportunity is fast becoming a prerequisite for success. To test this, Forrester conducted a global survey of 516 IT decision makers. The survey found that companies with more mature data capital practices — leveraging more data types, managin
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Dell EMC Storage

An IT Strategy to Support the Modern Analytics-Driven Business

Published By: Dell PC Lifecycle     Published Date: Mar 07, 2018
Today’s digital businesses are managed using critical business analyses that provide far greater insight into the business and how to maximize results. However, these high-value applications that use the latest software tools demand far more from IT infrastructure, as they utilize an order of magnitude more data and demand more compute resources than legacy applications. Legacy systems are no longer capable of meeting the present and future needs of the organization.
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Dell PC Lifecycle

An IT Strategy to Support the Modern Analytics-Driven Business

Published By: Dell PC Lifecycle     Published Date: May 15, 2018
Today’s digital businesses are managed using critical business analyses that provide far greater insight into the business and how to maximize results. However, these high-value applications that use the latest software tools demand far more from IT infrastructure, as they utilize an order of magnitude more data and demand more compute resources than legacy applications. Legacy systems are no longer capable of meeting the present and future needs of the organization.
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Dell PC Lifecycle

An IT Strategy to Support the Modern Analytics-Driven Business

Published By: Dell Server     Published Date: Aug 07, 2018
Today’s digital businesses are managed using critical business analyses that provide far greater insight into the business and how to maximize results. However, these high-value applications that use the latest software tools demand far more from IT infrastructure, as they utilize an order of magnitude more data and demand more compute resources than legacy applications. Legacy systems are no longer capable of meeting the present and future needs of the organization. Forward-thinking IT organizations are developing new infrastructure strategies to better support high-value analytics workloads with Dell EMC PowerEdge Servers powered by Intel® Xeon® Platinum processor.
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Dell Server

User Experience Management and Business Impact – A Cornerstone for IT Transformation

Published By: Dell Software     Published Date: Apr 17, 2013
Learn more about User Experience Monitoring and the need for advanced real-time predictive analytics to capture information and identify trends. Download this paper today and discover vital recommendations, including the need for better dialogue between IT and business and knowledge of end-user customer behavior.
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user experience management, business impact, cornerstone, it transformation, end-user customer behavior, dell
    
Dell Software

Dell Software Foglight APM 5.9: Introducing Big Data Repository/Reporting Supporting Web Analytics

Published By: Dell Software     Published Date: Oct 03, 2013
In contrast to competing APM solutions, most of which focus on technical metrics, the release of Foglight 5.9 delivers detailed information about users, user actions and application usability.
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dell, foglight, apm, big data, best practices, application performance management, technology, user experience, knowledge management, enterprise applications, data management, business technology
    
Dell Software

Dell Software Foglight APM 5.9: Introducing Big Data Repository/Reporting Supporting Web Analytics

Published By: Dell Software     Published Date: May 05, 2014
This ENTERPRISE MANAGEMENT ASSOCIATES® (EMATM) Impact Brief details the new capabilities and positions this release within a broader industry APM story.
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dell software, dell, dell foglight, foglight, apm, application performance mangement, virtual applications, cloud computing, cloud applications, web analytics, big data, application performance management, web services, web service management, data center design and management, virtualization
    
Dell Software

Four Steps to Using Web Analytics to Optimize Your B2B Marketing Campaigns

Published By: Demandbase     Published Date: Nov 16, 2012
B2Bs sell to accounts, not individuals, yet traditional web analytics fail to deliver B2Bs the account-based visibility that is critical to online success. These four steps show you how to make your web analytics work for B2B.
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demandbase, web analytics, b2b marketing campaign, optimization, business to business
    
Demandbase

IBM - Customer Analytics Pay Off

Published By: Destination Analytics     Published Date: Apr 06, 2012
To help organizations in their pursuit for deeper customer insight, we have identified four stages of organizational capabilities, which are enabled by four associated customer analytics strategies. Read to find out more.
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ibm, customer analytics, technology, destination analytics, customer satisfaction, analytics strategy, business analytics, customer interaction service, customer service, application integration, analytical applications
    
Destination Analytics

Extending Planning & Forecasting with Analytics

Published By: Destination Analytics     Published Date: Apr 06, 2012
This analytical platform ultimately enables their organization's most important measures - including revenue growth, return on invested capital and profit growth as measured by EBITDA - to outpace the financial outcomes of the competition. The goal is to support speed and effectiveness in decision-making.
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ibm, technology, netezza, analytics, enterprise analytics, business analytics, customer relationship management, customer satisfaction, customer service, application integration, analytical applications
    
Destination Analytics

Analytics in the Boardroom

Published By: Destination Analytics     Published Date: Apr 06, 2012
Organizations that take a wait-and-see approach to analytics are falling behind their more determined peers. Read to find out more.
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ibm, technology, netezza, analytics, enterprise analytics, business analytics, customer relationship management, customer satisfaction, customer service, application integration, analytical applications
    
Destination Analytics

DataDrill EXPRESS v3 for Software Project Performance Management

Published By: Distributive Management     Published Date: Jun 19, 2007
DataDrill EXPRESS is known for being the most capable web-based performance dashboard tool available for software and IT projects and organizations, automating every aspect of performance measurement.
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datadrill, distributive management, brochure, performance management, data collection, it management, project management, analytical applications, business analytics, business metrics, data mining
    
Distributive Management

2018 Trends in Information Security

Published By: Dome9     Published Date: Apr 25, 2018
Last year at this time, we forecast a bumpy ride for infosec through 2017, as ransomware continued to wreak havoc and new threats emerged to target a burgeoning Internet of Things (IoT) landscape. ‘New IT’ concepts – from DevOps to various manifestations of the impact of cloud – seemed poised to both revolutionize and disrupt not only the implementation of security technology, but also the expertise required of security professionals as well. Our expectations for the coming year seem comparatively much more harmonious, as disruptive trends of prior years consolidate their gains. At center stage is the visibility wrought by advances in data science, which has given new life to threat detection and prevention – to the extent that we expect analytics to become a pervasive aspect of offerings throughout the security market in 2018. This visibility has unleashed the potential for automation to become more widely adopted, and not a moment too soon, given the scale and complexity of the thre
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Dome9

The Practical Guide to Managing Data Science at Scale

Published By: Domino Data Lab     Published Date: May 23, 2019
Lessons from the field on managing data science projects and portfolios The ability to manage, scale, and accelerate an entire data science discipline increasingly separates successful organizations from those falling victim to hype and disillusionment. Data science managers have the most important and least understood job of the 21st century. This paper demystifies and elevates the current state of data science management. It identifies best practices to address common struggles around stakeholder alignment, the pace of model delivery, and the measurement of impact. There are seven chapters and 25 pages of insights based on 4+ years of working with leaders in data science such as Allstate, Bayer, and Moody’s Analytics: Chapters: Introduction: Where we are today and where we came from Goals: What are the measures of a high-performing data science organization? Challenges: The symptoms leading to the dark art myth of data science Diagnosis: The true root-causes behind the dark art m
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Domino Data Lab

Insights & Implications for Analytically Inspired Marketers- The 2016 Enterprise Analytics Study

Published By: Dun & Bradstreet     Published Date: Apr 21, 2016
When the right approach is applied, analytics can drive more effective marketing strategies. While marketers understand the role analytics plays within the organization, most are not leveraging analytics to really drive enterprise performance. We surveyed 100+ business leaders to understand the state of analytics maturity across today’s leading organizations, uncovering common challenges teams are facing in their quest to use data and analytics to deliver a competitive advantage. What We Uncovered: - 73% of analytic professionals claim to work for an analytically-driven company - Only 42% of companies have a strategy for using analytics across the enterprise - Just 38% of companies share results of their analytic insights outside their department - 81% of organizations rely on 3rd parties for at least some portion of their analysis Download the report to learn how marketers, like yourself, view themselves in light of using analytics to drive their business.
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hoover's, marketing strategies, analytics, data, best practices, business analytics, analytical applications, business intelligence
    
Dun & Bradstreet

Magic Quadrant for the CRM Customer Engagement Center

Published By: Dun & Bradstreet     Published Date: May 10, 2016
Vendors' positions in this Magic Quadrant reflect the growing demand for cloud-based customer service applications to support agents who engage with customers through multiple channels. Learn how the Lithium Platform can help develop a support community, customer engagement on the cloud, and provide multi-channel customer analytics tools.
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Dun & Bradstreet

Predictive vs. Anticipatory: Understanding the Best Analytic Approach

Published By: Dun & Bradstreet     Published Date: Oct 21, 2016
It is important to understand the different business situations where traditional predictive analytics can be best applied and where anticipatory analytics may be a more appropriate approach to solve the business problem. One is not necessarily superior to the other – it’s about which methodology is best utilized in solving the specific business problem. Conventional response modeling, revenue potential modeling, wallet share analysis, traditional risk scoring and other analytic practices will always be important tools for businesses far-and-wide, but as more companies focus on analytics to inform growth, they’ll have employ the right team and identify the right partners to work with in order to successfully leverage anticipatory analytics to gain a competitive advantage. Looking forward, we anticipate anticipatory analytics playing an important role in your future. Download this white paper to learn more.
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Dun & Bradstreet

Predictive vs. Anticipatory: Understanding the Best Analytic Approach

Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
What’s the best analytic approach for your business? As technology has evolved, so has our ability to process data at an incredible rate, making it possible to perform what has become known as Anticipatory Analytics. While still a relatively new concept, anticipatory analytics is gaining prevalence as a methodology. If you’re seeking to understand the future needs of your business before they show obvious signs, anticipatory analytics can’t be ignored. In this document, you’ll learn: • The advantages of anticipatory analytics • The key enablers of anticipatory analytics • How anticipatory can be leveraged for your business • Why anticipatory can give you first-mover advantage • When to use anticipatory or predictive analytics, based on your goals
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Dun & Bradstreet

Applying Alternative Data to Find Alpha in the Marketplace

Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
Creating predictive analytics from alternative data has become the current focus of the biggest quant trading firms in the industry The democratization of financial services data and technology, together with more intense competition, makes the needs of today’s market participants vastly different from those of previous generations. Firms must locate untapped sources of data for both public and non-public companies. This alternative data, such as payment data and other non-public information, from sources beyond the common channels, can be a predictive indicator of market performance; a difference maker in assisting firms as they develop models to evaluate their investments. By combining our unique data sets with advanced analytics, traders, analysts and managers can seek predictive signals and actionable information utilizing their own models. View our research report to learn how alternative data, our 'Information Alpha,' can help you earn differentiated investment returns.
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Dun & Bradstreet

Enterprise Analytics Case Studies

Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
Stories and statistics behind successful analytics projects The adoption of analytics across the enterprise is accelerating, and with good reason. Analytics can offer a competitive advantage by helping to identify growth opportunities, circumnavigate risk and improve customer relationships. These insights are becoming crucial parts of the business strategy for executives representing a wide array of industries. Check out our latest eBook to see how some of the world’s leading companies are using analytics to meet their needs. You’ll receive diverse examples of how organizations applied the latest statistical methodologies, such as: scorecard build, regression, decision trees, machine learning and material change to uncover meaning in data. The examples represent global brands across critical industries – Financial Services, Insurance, High-Tech, Aerospace, Manufacturing and others – where analytics helped answer their most challenging questions.
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Dun & Bradstreet

Cloud-Native Evolution - How Companies Go Digital in 3 Steps

Published By: Dynatrace     Published Date: Apr 26, 2017
This new report from Dynatrace and O'Reilly Media details the 3 stages that businesses move through as they migrate to the cloud, and a winning strategy for each stage. It includes case studies that will show you how to tackle both technical and cultural challenges along the way.
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cloud analytics, cloud development, cloud storage, cloud management, cloud security, cloud services, storage analytics
    
Dynatrace
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