advanced analytics

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Published By: Microsoft Azure     Published Date: Apr 11, 2018
Developing for and in the cloud has never been more dependent on data. Flexibility, performance, security—your applications need a database architecture that matches the innovation of your ideas. Industry analyst Ovum explored how Azure Cosmos DB is positioned to be the flagship database of internet-based products and services, and concluded that Azure Cosmos DB “is the first to open up [cloud] architecture to data that is not restricted by any specific schema, and it is among the most flexible when it comes to specifying consistency.” From security and fraud detection to consumer and industrial IoT, to personalized e-commerce and social and gaming networks, to smart utilities and advanced analytics, Azure Cosmos DB is how Microsoft is structuring the database for the age of cloud. Read the full report to learn how a globally distributed, multi-model data service can support your business objectives. Fill out the short form above to download the free research paper.
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Microsoft Azure
Published By: Microsoft Office 365     Published Date: Apr 05, 2016
Take a guided tour of the new Office 365. It’s a quick and easy way to test drive new enterprise capabilities, including advanced collaboration, analytics, and security features. Step through common enterprise scenarios to see how Office 365 can support your business needs See the latest in-product experience with the most up-to-date versions of the Office applications you use every day as well as the new advanced features Explore the top features and advanced capabilities available for email and calendar management, collaborative meetings, analytics, and security
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Microsoft Office 365
Published By: Microsoft Office 365     Published Date: Apr 14, 2016
Take a guided tour of the new Office 365. It’s a quick and easy way to test drive new enterprise capabilities, including advanced collaboration, analytics, and security features. Step through common enterprise scenarios to see how Office 365 can support your business needs See the latest in-product experience with the most up-to-date versions of the Office applications you use every day as well as the new advanced features Explore the top features and advanced capabilities available for email and calendar management, collaborative meetings, analytics, and security
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Microsoft Office 365
Published By: MicroStrategy     Published Date: Jan 23, 2019
A&BI platforms are evolving beyond data visualization and dashboards to encompass augmented and advanced analytics. Data and analytics leaders should enable a broader set of users with new expanded capabilities to increase the business impact of their investments.
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MicroStrategy
Published By: NEC     Published Date: Aug 12, 2014
NEC has introduced the Express5800/A2000 Series Servers to accommodate enterprise application demands with peak server reliability, availability, and serviceability. The new server architecture and NEC engineering functionality align well with many of the most important IT priorities in 2014, including virtualization, big data and advanced data analytics. With the Express5800/A2000 Servers, NEC has the opportunity to educate application owners and work with system integrators to drive awareness and ultimately investment in its new server platform, which will help drive customer value. In this white paper, you will learn how these next-generation servers from NEC are ready to accommodate some of today’s demanding workloads.
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servers, virtualization, customer value, analytics, application owners, system integrators, big data, reliability, enterprise, availability, serviceability, processor, architecture, express, stress, data management
    
NEC
Published By: Netezza IBM US     Published Date: Mar 27, 2012
Forrester's interviews with Epsilon, a multichannel marketing services provider, and subsequent financial analysis based on assumptions that Forrester used illustrate the potential ROI from the use of IBM Netezza appliances and concluded that IBM Netezza Data Warehouse Appliances provide competitive differentiation through faster analytics while reducing capital and operational costs.
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ibm, technology, netezza, data warehouse, analytics, roi, enterprise
    
Netezza IBM US
Published By: Netezza IBM US     Published Date: Mar 27, 2012
IBM Netezza data warehouse appliances push the limits of analytics by fusing our ground breaking data warehouse appliances with high performance, scalable analytics that can process massive data to solve complex problems orders of magnitude faster than typical solutions. IBM Netezza Analytics, IBM's embedded advanced analytics platform delivered with every appliance, enables the development and deployment of analytics to drive game changing results.
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ibm, technology, netezza, analytics, enterprise analytics, business technology
    
Netezza IBM US
Published By: Netezza IBM US     Published Date: Mar 27, 2012
This powerful, high-performance, scalable, simple-to-use advanced analytics platform delivered with every IBM Netezza data warehouse appliance, delivers on the promise of tapping into unleashed business potential.
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technology, ibm, netezza, advanced analytics, enterprise, business analytics, optimization, business technology
    
Netezza IBM US
Published By: Netezza IBM US     Published Date: Mar 27, 2012
Across all industries, Revolution R Enterprise advanced analytics platform leverages the capabilities of IBM Netezza Analytics on IBM Netezza's family of data warehouse appliances, merging high-performance, scalable data warehouse technology with advanced in-database analytics and massively parallel capabilities
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ibm, technology, netezza, analytics, enterprise analytics, business technology
    
Netezza IBM US
Published By: Niara     Published Date: Jan 27, 2016
Download this white paper to learn the must-have tactics organizations can use to quickly detect attacks on the inside and severely limit the damage they can do.
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advanced attacks, attack detection, cybercriminals, perimiter defenses, security breach, learning-based security analytics, security monitoring, behavioral analytics, machine learning, user behavior analytics, user and entitiy behavior analytics, security, it management
    
Niara
Published By: OpTier     Published Date: Mar 11, 2013
EMA Radar™ for Advanced Performance Analytics (APA) Use Cases: Q4 2012 Report Summary & OpTier Profile
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optier, ema radar report, apa case studies, enterprise management associates, business technology
    
OpTier
Published By: Oracle     Published Date: Apr 23, 2015
This white paper reveals how most advanced organisations are using predictive analytics to reveal where future opportunities lie, and to deploy resources and training accordingly.
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be insight-driven, insights, sales, data, social media, smart use of data, analytic, improve analytical capabilities
    
Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
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Oracle
Published By: Oracle CX     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
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Oracle CX
Published By: Oracle Service Cloud     Published Date: Mar 23, 2016
In the early 2000s, two vastly different businesses—baseball and field service management—began to use advanced statistical analysis to gain an advantage over their competitors. They both revolutionized their respective fields by using statistical knowledge to improve performance. The new approach replaced old models and methods and attained shockingly good results as both set new standards for their respective industries. In this white paper, you will learn the general concepts behind predictive analytics and how they can be applied to a field service organization. The paper will cover the basic metrics that should be tracked, the use of performance pattern profiles, and how these principles can predict future events.
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oracle, service cloud, service management, customer interaction
    
Oracle Service Cloud
Published By: Pentaho     Published Date: Nov 04, 2015
Although the phrase “next-generation platforms and analytics” can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and today’s reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.
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pentaho, analytics, platforms, hadoop, big data, predictive analytics, networking, it management, knowledge management, data management
    
Pentaho
Published By: Pentaho     Published Date: Apr 28, 2016
Although the phrase “next-generation platforms and analytics” can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and today’s reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.
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pentaho, best practices, hadoop, next generation analytics, platforms, infrastructure, data, analytics in organizations, it management, wireless, enterprise applications, data management, business technology, data center
    
Pentaho
Published By: Preempt     Published Date: Nov 02, 2018
In our 2018 Trends in Information Security report, we outlined a concept we referred to as the ‘identity-aware perimeter.’ The essential idea is that as new architectures such as cloud, containers, mobility and IoT take hold, controlling access to resources will increasingly need to rely on identity as an alternative to purely network-based approaches focused more on ‘where’ you are than ‘who’ you are. By combining identity with user and entity behavior and risk scoring to gate access, Preempt fits squarely within this trend, which we think could be one of the most interesting and powerful to hit the infosec market in years. Preempt has few direct competitors, and its initial challenge will be finding ways to distinguish itself from vendors in adjacent categories such as adaptive multi-factor authentication (MFA), advanced threat protection, user and entity behavior analytics (UEBA) and cloud access security brokers (CASB), to name a few. Forging a new security category is never easy,
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Preempt
Published By: Pure Storage     Published Date: Jan 12, 2018
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifically to work with high-powered analytics.
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data, deep learning, automated, intelligence, pure storage
    
Pure Storage
Published By: Pure Storage     Published Date: Apr 18, 2018
Deep learning opens up new worlds of possibility in artifi cial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifically to work with high-powered analytics.
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Pure Storage
Published By: Pure Storage     Published Date: Dec 05, 2018
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Read this MIT Technology Review custom paper to learn how advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics, helping to accelerate business outcomes for data driven organizations.
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Pure Storage
Published By: Qlik     Published Date: Oct 13, 2015
Data discovery appeals strongly to business users, but some business intelligence leaders are reluctant to ensure adoption. Data discovery is filling the gap between traditional BI and advanced analytics, and this research explains why and how BI leaders should support its use.
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qlik, data discovery, business intelligence, analytics, user produced content, data management, business technology
    
Qlik
Published By: Riverbed     Published Date: Nov 02, 2016
This Enterprise Management Associates® (EMA™) research summary, sponsored by Riverbed®, highlights some of the key findings of EMA’s landmark report, “Network Management Megatrends 2016: Managing Networks in the Era of the Internet of Things, Hybrid Cloud, and Advanced Network Analytics.” It examines several major areas of change and evolution affecting network management. These “megatrends” include hybrid cloud networking, the Internet of Things (IoT), advanced network analytics, network management outsourcing, and network management tool consolidation.
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Riverbed
Published By: Riverbed     Published Date: Feb 15, 2018
This Enterprise Management Associates® (EMA™) research summary, sponsored by Riverbed®, highlights some of the key findings of EMA’s landmark report, “Network Management Megatrends 2016: Managing Networks in the Era of the Internet of Things, Hybrid Cloud, and Advanced Network Analytics.” It examines several major areas of change and evolution affecting network management. These “megatrends” include hybrid cloud networking, the Internet of Things (IoT), advanced network analytics, network management outsourcing, and network management tool consolidation.
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Riverbed
Published By: Riverbed     Published Date: Jan 25, 2018
This Enterprise Management Associates® (EMA™) research summary, sponsored by Riverbed®, highlights some of the key findings of EMA’s landmark report, “Network Management Megatrends 2016: Managing Networks in the Era of the Internet of Things, Hybrid Cloud, and Advanced Network Analytics.” It examines several major areas of change and evolution affecting network management. These “megatrends” include hybrid cloud networking, the Internet of Things (IoT), advanced network analytics, network management outsourcing, and network management tool consolidation.
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Riverbed
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