data analysis

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Published By: Landis + Gyr     Published Date: Mar 17, 2016
The rapid acceleration of Distributed Energy Resources (DER) presents a range of challenges for electric utility management. The good news is that a strategic approach, one that taps the power of data analytics, can meet the rising need to manage DER. Download this white paper, to learn about the current state of DER and how to get started with a smart grid analytics solution: • Cost-benefit analysis • Challenges of integrated DERs • Planning considerations • Advanced analytics tools and predictive grid analytics benefits • Choosing a platform
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cost-benefit analysis, der, analytics, platform, utility, smart grid
    
Landis + Gyr
Published By: AWS     Published Date: Aug 20, 2018
A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated querying: ability to run a query across heterogeneous sources of data • Data consumption: support numerous types of analysis - ad-hoc exploration, predefined reporting/dashboards, predictive and advanced analytics
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AWS
Published By: AWS     Published Date: Nov 15, 2018
It isn’t always easy to keep pace with today’s high volume of data, especially when it’s coming at you from a diverse number of sources. Tracking these analytics can place a strain on IT, who must provide the requested information to C-suite and analysts. Unless this process can happen quickly, the insights grow stale. Download your complimentary ebook now to see how Matillion ETL for Amazon Redshift makes it easy for technical and business users alike to participate and own the entire data and analysis process. With Matillion ETL for Amazon Redshift, everyone from CTOs to marketing analysts can generate valuable business intelligence by automating data and analytics orchestrations.
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AWS
Published By: Dassault Systčmes     Published Date: Aug 08, 2017
Learn how Dassault Systčmes Program Management solutions can help Aerospace and Aviation companies reliably execute on their proposed plans to meet their design, cost and schedule targets. Read this whitepaper and gain insights into new practices in four key areas: • Consolidate all program data in one central data repository to use institutional knowledge and improve design analysis and decision support • Data reuse between organizations to avoid duplicate efforts and misunderstandings • Real-time reporting automation of key data to assess program performance and anticipate risks and opportunities • Program control with real-time, up-to-date, detailed and verifiable information while preserving program and partner IP
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dassault, systemes, program management, aerospace and aviation, program data, automation
    
Dassault Systčmes
Published By: Gemini Data     Published Date: Jan 16, 2018
The increasing reliance on big data platforms for all functions of the organization has been transformative. As these environments mature and data volumes increase, organizations face infrastructure and management scalability challenges. Gemini Enterprise Manager simplifies deployment and management with a turnkey, NoOps appliance, providing simplicity, security, and speed to accelerate the time to value for any analysis use case. Manager allows you to control your Splunk deployment as a single, unified solution deployed on premises, in the cloud or both.
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Gemini Data
Published By: Artemis Health     Published Date: Feb 05, 2019
If you’re like most people, you’re a procrastinator. You know you need to use benefits data to make great decisions, but it’s not at the top of your to-do list. But access to clear, actionable benefits data isn’t just nice to have; it’s a must-have. In this whitepaper, we’ll show you: • How wasted benefits spending is impacting your other strategic initiatives • The gaps in coverage you could fill with the right analysis at the right time • The ways a benefit data solution can help your employees access great care
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Artemis Health
Published By: Artemis Health     Published Date: Feb 05, 2019
Self-insured employers are mining their health and benefits data to save costs and provide quality care for employees. Data is driving business decisions, but how do you get from millions of rows of data to a consumable graph to taking action? In this white paper, we’ll delve into data analytics best practices that help self-insured employers find actionable insights in their benefits data. • Which data sources will help you ensure you’re measuring the right thing at the right time • How to ensure data variety and choose key metrics • An example of a successful predictive analysis using benefits data
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Artemis Health
Published By: BMC ASEAN     Published Date: Dec 18, 2018
Big data projects often entail moving data between multiple cloud and legacy on-premise environments. A typical scenario involves moving data from a cloud-based source to a cloud-based normalization application, to an on-premise system for consolidation with other data, and then through various cloud and on-premise applications that analyze the data. Processing and analysis turn the disparate data into business insights delivered though dashboards, reports, and data warehouses - often using cloud-based apps. The workflows that take data from ingestion to delivery are highly complex and have numerous dependencies along the way. Speed, reliability, and scalability are crucial. So, although data scientists and engineers may do things manually during proof of concept, manual processes don't scale.
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BMC ASEAN
Published By: DataCore     Published Date: Jul 10, 2019
With a software-based approach, IT organizations see a better return on their storage investment. DataCore’s software-defined storage provides improved resource utilization, seamless integration of new technologies, and reduced administrative time - all resulting in lower CAPEX and OPEX, yielding a superior TCO. A survey of 363 DataCore customers found that over half of them (55%) achieved positive ROI within the first year of deployment, and 21% were able to reach positive ROI in less than 6 months. Download this white paper to learn how software-defined storage can help reduce data center infrastructure costs, including guidelines to help you structure your TCO analysis comparison.
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software defined storage, virtualization, storage, storage costs, data center costs, infrastructure costs, tco, roi, total cost of ownership, return on investment, software-defined storage, storage infrastructure
    
DataCore
Published By: CA Technologies EMEA     Published Date: Apr 10, 2018
CA Technologies recently released version 8.5.1 of its flagship United Infrastructure Management (UIM) platform. The company continues its efforts to make it a powerful contender in the highly competitive and crowded hybrid IT management market. The latest enhancements, and those coming soon in the next release, should help strengthen its position as an intelligent and predictive toolset that enables administrators to quickly – and in some cases proactively – react and remediate performance and capacity anomalies.
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CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Apr 10, 2018
CA Technologies recently released version 8.5.1 of its flagship United Infrastructure Management (UIM) platform. The company continues its efforts to make it a powerful contender in the highly competitive and crowded hybrid IT management market. The latest enhancements, and those coming soon in the next release, should help strengthen its position as an intelligent and predictive toolset that enables administrators to quickly – and in some cases proactively – react and remediate performance and capacity anomalies.
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CA Technologies EMEA
Published By: Oracle     Published Date: Sep 08, 2016
This report examines how two major players in the grocery, pharmacy and wholesale markets are leveraging loss prevention technology to centralize enterprise-wide data collection, analysis, and reporting to protect profits, reduce shrink and provide actionable insight across the organization from merchandising and planning to supply chain.
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analytics, loss prevention, enterprise applications, best practices, networking
    
Oracle
Published By: Dell     Published Date: Oct 21, 2008
The Microsoft Assessment and Planning Solution Accelerator (MAP) tool makes it easy for you to assess your current IT infrastructure and determine the right Microsoft technologies for your needs. The data and analysis provided by this tool can help simplify planning a Windows Vista migration.
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dell, vista, windows, hardware inventory, compatibility analysis, map, knowledge management, enterprise applications, platforms, data management
    
Dell
Published By: HP Data Center     Published Date: Feb 18, 2009
Data centers are large, important investments that, when properly designed, built, and operated, are an integral part of the business strategy driving the success of any enterprise. Yet the central focus of organizations is often the acquisition and deployment of the IT architecture equipment and systems with little thought given to the structure and space in which it is to be housed, serviced, and maintained. This invariably leads to facility infrastructure problems such as thermal “hot spots”, lack of UPS (uninterruptible power supply) rack power, lack of redundancy, system overloading and other issues that threaten or prevent the realization of the return on the investment in the IT systems.
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hp data center, data center, business strategy, it architecture, ups, uninterruptible power supply, rack power, lack of redundancy, system overloading, return on investment, roi, virtualization, going green, return on investment, scopes of work, sow, itsm assessments, energy assessments, it security and risk assessments, performance analysis for hp-unix
    
HP Data Center
Published By: HP Data Center     Published Date: Mar 25, 2009
Data centers are large, important investments that when properly designed, built and operated, are an integral part of the business strategy driving the success of any enterprise, yet the central focus of organizations is often the acquisition and deployment of the IT architecture equipment and systems, with little thought given to the structure and space in which it is to be housed, serviced and maintained. This invariably leads to facility infrastructure problems, such as thermal hot spots, lack of UPS, rack power, lack of redundancy, system overloading and other issues that threaten or prevent the realization of the return on the investment in the IT systems.
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hp data center, data center, business strategy, it architecture, ups, uninterruptible power supply, rack power, lack of redundancy, system overloading, return on investment, roi, virtualization, going green, return on investment, scopes of work, sow, itsm assessments, energy assessments, it security and risk assessments, performance analysis for hp-unix
    
HP Data Center
Published By: HP Data Center     Published Date: Mar 25, 2009
Data centers are large, important investments that, when properly designed, built, and operated, are an integral part of the business strategy driving the success of any enterprise. Yet the central focus of organizations is often the acquisition and deployment of the IT architecture equipment and systems with little thought given to the structure and space in which it is to be housed, serviced, and maintained.
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hp data center, data center, optimization, business strategy, hot spots, mission critical loads”, the it infrastructure, the availability, it architecture, rack power, lack of redundancy, system overloading, return on investment, roi, virtualization, going green, return on investment, scopes of work, sow, itsm assessments
    
HP Data Center
Published By: EMC Corporation     Published Date: Aug 05, 2014
It’s an exciting yet daunting time to be a security professional. Security threats are becoming more aggressive and voracious. Governments and industry bodies are getting more prescriptive around compliance. Combined with exponentially more complex IT environments, security management is increasingly challenging. Moreover, new “Big Data” technologies purport bringing advanced analytic techniques like predictive analysis and advanced statistical techniques close to the security professional.
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big data, data management, security threats, advanced analytics, security management, predictive analytics, compliance, security, it management
    
EMC Corporation
Published By: EMC Corporation     Published Date: Aug 05, 2014
Large organizations can no longer rely on preventive security systems, point security tools, manual processes, and hardened configurations to protect them from targeted attacks and advanced malware. Henceforth, security management must be based upon continuous monitoring and data analysis for up-to-the-minute situational awareness and rapid data-driven security decisions. This means that large organizations have entered the era of data security analytics. Download here to learn more!
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big data, data management, security threats, advanced analytics, security management, predictive analytics, compliance, security
    
EMC Corporation
Published By: Citrix Systems     Published Date: Feb 10, 2016
Empirical data from individual Product Analysis Reports (PARs) and Comparative Analysis Reports (CARs) is used to create the unique Security Value Map™ (SVM). The SVM illustrates the relative value of security investment options by mapping security effectiveness and value (TCO per protected - connections per second (CPS)) of tested product configurations. The SVM provides an aggregated view of the detailed findings from NSS Labs’ group tests. Individual PARs are available for every product tested. CARs provide detailed comparisons across all tested products in the areas of: ? Security ? Performance ? Total cost of ownership (TCO)
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Citrix Systems
Published By: Citrix Systems     Published Date: Feb 10, 2016
Empirical data from our individual Product Analysis Reports (PARs) and Comparative Analysis Reports (CARs) is used to create the unique Security Value MapTM (SVM). The SVM provides a quick, clear overview of the relative value of security investment options by mapping security effectiveness and value (TCO per protected-CPS) of tested product configurations.
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Citrix Systems
Published By: Aquire     Published Date: Feb 10, 2012
Learn how savvy business leaders and HR professionals are making data-driven decisions by leveraging the power of workforce analytics. This white paper walks you through common obstacles executives face when it comes to strategic workforce analysis.
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Aquire
Published By: Netezza IBM US     Published Date: May 09, 2012
With the amount of complex biological data increasing exponentially, the need intensifies for more insightful analysis on developmental drugs, their effects on humans and inter-drug relationships.
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pharmaceutical, drug, ibm, analytics
    
Netezza IBM US
Published By: Bluekai     Published Date: Aug 10, 2012
How can you analyze ALL of your disparate first and third-party audience, campaign and performance data in one central place? How can a DMP power a 360 approach to audience data management and analysis to get more bang out of your marketing dollar?
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dmp, data management platform, crm, analytics, audience targeting, predictive audience analytics, real-time campaign analytics, campaign performance, data management, data center
    
Bluekai
Published By: Concur     Published Date: Apr 17, 2013
In this survey report analysts examine electronic invoicing, imaging and data extraction, and automated workflow solutions at US-based enterprises. The analysis is based on over 300 survey results and more than nine years of research findings.
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ap automation, accounts payable, invoice management, invoice automation, invoicing, ap report, ap study
    
Concur
Published By: McAfee     Published Date: Feb 06, 2013
Read how managing risk today means making sense of more data: vulnerability scans, application and database logs, flows, access and session records, alerts, and trending analysis.
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security connected framework, big security data, big data, log management, siem
    
McAfee
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