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Published By: Dell EMC     Published Date: Oct 08, 2015
Big data can be observed, in a real sense, by computers processing it and often by humans reviewing visualizations created from it. In the past, humans had to reduce the data, often using techniques of statistical sampling, to be able to make sense of it. Now, new big data processing techniques will help us make sense of it without traditional reduction.
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Dell EMC
Published By: Dell EMC     Published Date: Oct 08, 2015
To compete in this new multi-channel environment, we’ve seen in this guide how retailers have to adopt new and innovative strategies to attract and retain customers. Big data technologies, specifically Hadoop, enable retailers to connect with customers through multiple channels at an entirely new level by harnessing the vast volumes of new data available today. Hadoop helps retailers store, transform, integrate and analyze a wide variety of online and offline customer data—POS transactions, e-commerce transactions, clickstream data, email, social media, sensor data and call center records—all in one central repository.
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Dell EMC
Published By: Dell EMC     Published Date: Oct 08, 2015
Download this whitepaper to learn how to big data more manageable while condensing vast amounts of information into actionable business insights.
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Dell EMC
Published By: Dell EMC     Published Date: Oct 08, 2015
Download this whitepaper for: • An overview of how manufacturing can benefit from the big data technology stack • A high-level view of common big data pain points for manufacturers • A detailed analysis of big data technology for manufacturers • A view as to how manufacturers are going about big data adoption • A proven case study with: Omneo
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Dell EMC
Published By: BMC Software     Published Date: May 28, 2014
Learn how BMC Control-M for for Hadoop allows IT to extract value from big data, with clear visibility, predictability and increased productivity and efficiency.
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it management, enterprise applications
    
BMC Software
Published By: BMC Software     Published Date: May 28, 2014
"In the paper, “Integrate Big Data into Your Business Processes and Enterprise Systems” you’ll learn how to drive maximum value with an enterprise approach to Big Data. Topics discussed include: • How to ensure that your Big Data projects will drive clearly defined business value • The operational challenges each Big Data initiative must address • The importance of using an enterprise approach for Hadoop batch processing
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it management
    
BMC Software
Published By: Adobe     Published Date: Nov 02, 2018
In our 39-criteria evaluation of customer analytics solutions providers, we identified the nine most significant ones — Adobe, AgilOne, IBM, Manthan, NGDATA, Salesforce, SAP, SAS, and Teradata — and researched, analyzed, and scored them. This report shows how each provider measures up and helps customer insights (CI) professionals make the right choice.
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Adobe
Published By: BlueData     Published Date: Aug 19, 2015
Over the past few years, “Big Data” has evolved from an interesting technology topic into a source of major competitive advantage, in which IDG conducted a survey and found out that 60% of enterprises are planning on spending an average of $8 million on Big Data initiatives. However, somewhere between intention/investment and executive/production, Big Data initiatives are falling into a gap. Download this white paper to find out how to change the equation on Big Data spending and learn what the successful companies are doing in order to achieve a success from your Big Data applications.
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bigdata, hadoop, big data spending, big data projects, it commitments, data management, data center
    
BlueData
Published By: Impetus     Published Date: Mar 15, 2016
Streaming analytics platforms provide businesses a method for extracting strategic value from data-in-motion in a manner similar to how traditional analytics tools operate on data-at rest.
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impetus, guide to stream analytics, real time streaming analytics, streaming analytics, real time analytics, big data analytics, monitoring, network architecture, business activity monitoring, business analytics, analytical applications, data warehousing
    
Impetus
Published By: Dell     Published Date: Sep 17, 2014
As the 3 V’s of big data: volume, velocity and variety continue to grow, so too does the opportunity for finance sector firms to capitalize on this data for strategic advantage. Read how.
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dell, finance data, data storage, financial records, secure finance, cloud, finance cloud, bandwidth management, infrastructure, network architecture, backup and recovery, storage management, business management, business metrics, server virtualization, database security, records management, data warehousing
    
Dell
Published By: Dell     Published Date: Mar 30, 2015
Dell has teamed with Intel to create innovative solutions that can accelerate the research, diagnosis and treatment of diseases through personalized medicine. The combination of leading-edge Intel® processors and the systems and storage expertise from Dell create a state-of-the-art solution that is easy to install, manage and expand as required. Download to learn more.
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dell, intel, genomics, research, data analysis, gdap, servers, blade servers, business activity monitoring, business analytics, enterprise software, analytical applications, data integration, data quality
    
Dell
Published By: Dell     Published Date: Apr 02, 2015
In this Guide we have delivered the case for the benefits of big data technology applied to the needs of the manufacturing industry.
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dell, intel, big data, manufacturing, technology stack, pain points, big data adoption, omneo, infrastructure, network architecture, network performance, business process management, data integration, productivity, project management, data warehousing, data center design and management, colocation and web hosting
    
Dell
Published By: Dell     Published Date: Sep 06, 2015
Retailers can analyze this data to generate insights about individual consumer preferences and behaviors, and offer personalized recommendations in near real-time. Key to this is the ability to optimize merchandise selections and pricing that are tailored to a consumer’s likes and dislikes.
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ibm, big data, retail data, retail, consumer data, shopper data, business analytics, business intelligence, customer interaction service, customer service, data integration, information management, records management, project management
    
Dell
Published By: TIBCO Software     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
Published By: TIBCO Software     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
Published By: TIBCO Software     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
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