analytics

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Published By: IBM     Published Date: Oct 13, 2016
Nowadays, organizations need top-notch technologies to attract top talent, support their recruiters, and empower their organizations to grow. Thankfully, data analytics, open talent acquisition suites, talent communities, mobile optimization, and more are readily available and can enhance experiences for both candidates and recruiters while providing insight on HR for business leaders. But refreshing talent acquisition isn't just about technology; it's also about realigning its definition to the demands and expectations of the twenty-first century.
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ibm, recruiting, talent acquisition, talent acquisition technology, human resource technology
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before. Download this white paper to learn how.
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database, big data, analytics, infrastructure, data management, data center
    
IBM
Published By: IBM     Published Date: Dec 05, 2016
Learn directly from KONE's expert about their recent IoT experience in implementing predictive maintenance (PMQ) and IoT. The session will cover: 1) KONE's business area that the PMQ and IoT solution is supporting, and the metrics used to measure success; 2) KONE's Predictive Maintenance and IoT Platform use case, key personas, savings and benefits realized; and 3) Observations from implementation, including: a) The analytics journey at KONE; b) Organizational change (culture, processes, etc.); c) Measurable maintenance benefits; d) Implementation considerations, learnings, going forward; and e) Future projects and capabilities.
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ibm, leadership, watson, watson iot, predictive maintenance, enterprise applications
    
IBM
Published By: AWS     Published Date: May 18, 2018
Weve become a world of instant information. We carry mobile devices that answer questions in seconds and we track our morning runs from screens on our wrists. News spreads immediately across our social feeds, and traffic alerts direct us away from road closures. As consumers, we have come to expect answers now, in real time. Until recently, businesses that were seeking information about their customers, products, or applications, in real time, were challenged to do so. Streaming data, such as website clickstreams, application logs, and IoT device telemetry, could be ingested but not analyzed in real time for any kind of immediate action. For years, analytics were understood to be a snapshot of the past, but never a window into the present. Reports could show us yesterdays sales figures, but not what customers are buying right now. Then, along came the cloud. With the emergence of cloud computing, and new technologies leveraging its inherent scalability and agility, streaming data
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AWS
Published By: AWS     Published Date: Sep 04, 2018
Todays businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics.
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AWS
Published By: AWS     Published Date: Sep 04, 2018
Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. Its designed for speed and ease of use but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether youve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technology
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AWS
Published By: Oracle HCM Cloud     Published Date: Nov 30, 2016
Dow Chemical discusses the benefits of using Oracle HR Analytics to empower its people leaders with actionable insights for decision making.
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Oracle HCM Cloud
Published By: Hewlett Packard Enterprise     Published Date: Aug 10, 2016
Download this asset to learn how running old servers impacts productivity and profitability especially for small business. Sponsored by: HPE and Intel
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intel, hpe, best practices, profitability, productivity, business management, business analytics, business intelligence
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"Learn how predictive analytics and machine learning can help optimize application performance and meet the needs of the business with Nimble Storage Infosight. This ESG report highlights: Optimal application performance and delivery is difficult to achieve in complex environments. Many IT infrastructure and operations teams are stretched to the breaking point. Predictive analytics and machine learning can be applied to great effect."
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
Download this white paper and discover how Nimble Storage, a Hewlett Packard Enterprise company, achieves six nines measured availability using predictive analytics and data science as the core architecture of every system. Gavin suggest using the next one.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: -Top 5 causes of downtime and poor performance across the infrastructure stack -How machine learning and predictive analytics can prevent issues -Steps you can take to boost performance and availability "
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
Applications are the engines that drive todays digital businesses. When the infrastructure that powers those applications is difficult to administer, or fails, businesses and their IT organizations are severely impacted. Traditionally, IT assumed much of the responsibility to ensure availability and performance. In the digital era, however, the industry needs to evolve and reset the requirements on vendors. HPE Nimble Storage has broken away from convention and transformed how storage is managed and supported with the HPE InfoSight predictive analytics platform. HPE engaged ESG to conduct a quantitative survey of the HPE Nimble Storage installed base, as well as non-HPE Nimble Storage customers, to better assess how HPE InfoSight positively impacts customer environments. Both HPE InfoSight telemetry data and ESGs quantitative survey data show that the benefit delivered to HPE Nimble Storage customers is significant, driving: 79% lower IT operational expenses. 73% fewer trouble ti
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"Learn how predictive analytics and machine learning can help optimize application performance and meet the needs of the business with Nimble Storage Infosight. This ESG report highlights: Optimal application performance and delivery is difficult to achieve in complex environments. Many IT infrastructure and operations teams are stretched to the breaking point. Predictive analytics and machine learning can be applied to great effect."
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
Applications are the engines that drive todays digital businesses. When the infrastructure that powers those applications is difficult to administer, or fails, businesses and their IT organizations are severely impacted. Traditionally, IT assumed much of the responsibility to ensure availability and performance. In the digital era, however, the industry needs to evolve and reset the requirements on vendors. HPE Nimble Storage has broken away from convention and transformed how storage is managed and supported with the HPE InfoSight predictive analytics platform. HPE engaged ESG to conduct a quantitative survey of the HPE Nimble Storage installed base, as well as non-HPE Nimble Storage customers, to better assess how HPE InfoSight positively impacts customer environments. Both HPE InfoSight telemetry data and ESGs quantitative survey data show that the benefit delivered to HPE Nimble Storage customers is significant, driving: 79% lower IT operational expenses. 73% fewer trouble ti
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
HPE InfoSight analyzes millions of sensors every second to predict and prevent problems across the infrastructure stack and transform the support experience. Based on ESG research, the benefits to enterprises stemming from HPE InfoSight are both significant and unique.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: -Top 5 causes of downtime and poor performance across the infrastructure stack -How machine learning and predictive analytics can prevent issues -Steps you can take to boost performance and availability "
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Hewlett Packard Enterprise
Published By: LogRhythm     Published Date: Jun 19, 2018
Security and risk management leaders are implementing and expanding SIEM to improve early targeted attack detection and response. Advanced users seek SIEM with advanced profiling, analytics and response features.
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siem, gartner, magic, quadrant, analytics
    
LogRhythm
Published By: LogRhythm     Published Date: Nov 01, 2018
The 13 Providers That Matter Most And How They Stack Up
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LogRhythm
Published By: Adobe     Published Date: Sep 28, 2016
The ideal customer experience is everything today, and it starts with a modern digital foundation. You cant give customers the timely and relevant experiences they expect with outdated solutions that are cobbled together. Read The Blueprint Redefined to see how a modern digital foundation can get you there. Youll learn: - How a unified platform lets you easily manage and refine customer experiences - Three steps to deliver great digital experiences on all devices - The roles of personalization, analytics, and asset management?
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adobe, customer experience, digital, marketing marketers, digital experience
    
Adobe
Published By: Veritas     Published Date: Jan 03, 2019
The digital business continues to evolve. Investments in data analytics projects lead the way while traditional, proprietary infrastructures are being disrupted by cloud, open source and hyperconverged paradigms. These changes are forcing IT leaders to contend with greater workload diversity in the midst of tightening budgets. And while the workload [or] IT landscape is changing, the need for reliable data protection remains as crucial as ever to protect against, data corruption, human error, and malicious threats such as ransomware. Learn how Veritas can help you navigate through these obstacles. Join us to hear experts from ESG and Veritas discuss how the right data protection solution today can prepare you for tomorrow's business demands. You will learn: The key trends that are driving change in the digital business The most common causes of data loss in tomorrows multi-cloud data centers How to protect an increasingly diverse environment with minimal operational overhead
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Veritas
Published By: GE Power     Published Date: Oct 05, 2016
With any innovation, early adopters forge the path forward, testing the limits of new technology, proving solutions that deliver value and dispensing those that dont. Each power organization approaches the use of data and analytics from their own point of reference, technology maturity and propensity for change. In this eBook, learn how 14 global power companies achieved real business results for their business with digital solutions.
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digital power plant, digital power, digital power station, distributor solution, efficiency of power generation, industrial power
    
GE Power
Published By: GE Power     Published Date: Feb 02, 2017
With any innovation, early adopters forge the path forward, testing the limits of new technology, proving solutions that deliver value and dispensing those that dont. Each power organization approaches the use of data and analytics from their own point of reference, technology maturity and propensity for change. In this eBook, learn how 14 global power companies achieved real business results for their business with digital solutions.
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GE Power
Published By: GE Power     Published Date: Feb 02, 2017
From balancing asset life and performance to managing variations in market conditions and fuel costs, power leaders everywhere are using data and analytics as a strategic asset to drive efficiencies and increase profitability for their business.
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GE Power
Published By: IBM     Published Date: Jan 09, 2017
Is it better to build your own internal cybersecurity expertise and security intelligence & analytics platform or should you outsource the responsibilities to a team of experts? Read this paper by Securosis, L.L.C, an independent research and analysis firm, to understand the drivers, use cases and partner selection criteria for managed security monitoring.
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IBM
Published By: IBM     Published Date: Jan 11, 2017
Read this i360Gov Book to understand the importance of: - Transforming federal fortifications into intelligence-driven defense - Intensifying focus on cyber intelligence - Needing a well trained cybersecurity force
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ibm, analytics, government, public sector, security, cyber threat, cyber threat analysis, risk, enterprise applications
    
IBM
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