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historical analysis

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By: Splunk     Published Date: Aug 22, 2018
Gartner's “2017 Critical Capabilities for Security Information and Event Management” report assesses eight SIEM capabilities against the increasingly complex vendor landscape. The conclusion? Splunk had the highest score in the Security Monitoring use case. We believe customers rely on Splunk’s advanced security analytics capabilities to meet their SIEM and security intelligence needs — improving threat detection, investigation and time to remediation. It’s proven to help with compliance and incident reporting, automated alerting of common security events and historical analysis for detected incidents. CISOs, CIOs, and security and risk leaders should download Gartner’s annual report to make the best-informed buying decision for security and learn about Splunk’s leadership position in the market.
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     Splunk
By: EMC Corporation     Published Date: Feb 13, 2015
This IDC study provides detailed insights into the rapidly growing market for enterprise storage systems that leverage flash storage media. This study segments this market into the following two technology segments: AFAs and HFAs. Insights into these two market segments are provided historically. Market shares and IDC analysis are provided for each of the top vendors in these two segments along with detailed market-level analysis.
Tags : all-flash-array, enterprise storage systems, flash storage, market-level analysis, hybrid flash array
     EMC Corporation
By: Dell EMC     Published Date: May 15, 2015
This IDC study provides detailed insights into the rapidly growing market for enterprise storage systems that leverage flash storage media. This study segments this market into the following two technology segments: AFAs and HFAs. Insights into these two market segments are provided historically. Market shares and IDC analysis are provided for each of the top vendors in these two segments along with detailed market-level analysis.
Tags : emc, storage all-flash, architectures, workload, data center, scale, storage, hybrid
     Dell EMC
By: HP     Published Date: Jan 20, 2015
There are many new ways Big Data analytics can significantly boost marketing and promotional efforts through real-time and historical analysis of online data, such as clickstream or purchase transactions. Unstructured data based on social media—even photos and video—offers enormous potential when analyzed with the right tools.
Tags : big data, hp haven, scalable, secure data platform, ecosystem, security
     HP
By: IBM Software     Published Date: Jul 29, 2010
This brief video explores the issues and the data required to improve sales forecasting accuracy, including the capacity to conduct historical and aggregated multi-dimension analysis.
Tags : ibm software, cognos, sales forecasting, analytics, sales cycle, pipeline
     IBM Software
By: Amazon Web Services     Published Date: Oct 30, 2018
As cybercriminals look for new ways to break through defenses, it’s vital that organizations have access to real-time operational intelligence across their applications, services, and security infrastructure. As Recreational Equipment, Inc. (REI) migrated applications to Amazon Web Services (AWS), it needed to expand security capacity for edge protection of its AWS VPCs. REI chose Splunk for security monitoring, historical analysis, and data visualization in real time, to help it investigate events and mitigate operational risks.
Tags : rei, intelligent, threat, detection, edge, protection, aws, splunk
     Amazon Web Services
By: Cambium Networks     Published Date: Oct 03, 2016
Dynamic Spectrum Optimization (DSO) is a unique capability offered by Cambium Networks in our PTP 500, PTP 600, and PTP 650 products that enables a system to automatically sample and change channels to avoid interference without affecting link service. In addition, DSO provides a historical record of noise and service levels for further analysis.
Tags : dso, network operations, wireless solutions, channel interference
     Cambium Networks
By: Schneider Electric     Published Date: Aug 15, 2017
Schneider Electric is integrating datacenter infrastructure management (DCIM) software, big-data analytics and cloud services into the management of customers’ datacenters. Its recently launched StruxureOn cloud offering signals a new wave in datacenter operations, using a combination of machine learning, anomaly detection and event-stream playback to give operators real-time insights and alarming via their smartphones. More capabilities and features are planned, including predictive analysis and, eventually, automated action. Schneider’s long-term strategy is to build a partner ecosystem around StruxureOn, and provide digital services that span its traditional datacenter business.
Tags : incident tracking, historical trending, troubleshooting, operational analysis, prediction model, schneider equipment, maintenance, firmware updates
     Schneider Electric
By: IBM     Published Date: Jul 27, 2015
Communications service providers have much to gain from deploying big data analytics capabilities that enable smarter campaigns.
Tags : ibm advanced analytics platform, big data analytics, communications service providers, analytics software, predictive analytics, analytics visualization, historical analysis, content management systems
     IBM
By: Intel     Published Date: Apr 19, 2016
Learn how Intel DCM solution provided an organization real-time and historical data center thermal maps and cooling analysis.
Tags : intel, data center management, power and cooling, power, energy
     Intel
By: Quocirca     Published Date: Oct 05, 2007
Knowledge of the location of customers, property, products or any other asset is invaluable intelligence for improving competitive advantage and operational efficiency.  However, despite the proliferation of data that businesses generate today, the potential value of this location dimension is often overlooked in the business intelligence process.
Tags : business intelligence, business analytics, historical data, data analysis, gis, geospacial, geographic information system, geocoding
     Quocirca
By: Platform Computing     Published Date: Jul 16, 2008
This white paper primarily focuses on the expanding role of HPC management software in the HPC marketplace. The paper emphasizes its historical development and considers its business case and future prospects while dispensing with more elaborate technical analysis and product comparisons.
Tags : middleware, platform computing, platform
     Platform Computing
By: IBM Software     Published Date: Jul 28, 2010
This brief video explores the issues and the data required to improve sales forecasting accuracy, including the capacity to conduct historical and aggregated multi-dimension analysis.
Tags : ibm software, cognos, sales forecasting, analytics, sales cycle, pipeline
     IBM Software
By: TIBCO Software APAC     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes.
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     TIBCO Software APAC
By: TIBCO Software APAC     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
Tags : 
     TIBCO Software APAC
By: TIBCO Software APAC     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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     TIBCO Software APAC
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