big data

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Published By: TruSignal     Published Date: Jun 03, 2013
This white paper aims to provide B2C digital marketers with a better understanding of why you may need an audience expansion technique and what questions to ask yourself before you get started. We hope to not only build an imperative for audience expansion techniques, but also to offer a guide that will help you choose the right data and right techniques for reaching more of your desired prospects online. Specifically, this white paper will discuss and differentiate two specific expansion approaches: lookalike and act-alike audiences including how they are built, the problems they solve and how to use them effectively throughout the marketing funnel.
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audience expansion, lookalike, act-alike, audience targeting, predictive analytics, big data, profile data, behavioral data, third-party data, first-party data, digital marketing, single factor correlation, multiple factor correlation, predictive audience models, custom audiences, offline data, effective marketing practices, digital marketers, marketing funnel, trusignal
    
TruSignal
Published By: Adverity     Published Date: Jun 15, 2018
A Beginner's Guide to Marketing Data Analytics Marketing Data is big & highly fragmented Big data is messy. It’s scattered across platforms, it’s diverse, and in its raw form, it’s practically unusable. We know, it’s a painful truth. The fact of the matter is that having a lot of data doesn’t necessarily mean that you have the answers to your most pressing questions. Looking for the most relevant bits in your pile of big data is like looking for a needle in a haystack. But don't you worry - we are here to help. This handy e-book will give you a short overview what quality matters, why data is so important and what you need to pay attention to. Best thing is: getting this ebook is super easy. Just fill out the form to the right and voilá - your download is ready. Enjoy this read!
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marketing business intelligence, saas marketing optimization, measuring marketing performance, roi analytics, automated report generator, performance based marketing, online marketing data, roi metrics, marketing reports, roi reporting, reporting generator, automated reporting tool, marketing dashboard, marketing data, marketing intelligence, report software, marketing reporting, marketing metrics, performance marketing, marketing performance
    
Adverity
Published By: IBM     Published Date: Jul 07, 2014
The IBM Institute for Business Value conducted a global study to investigate how organizations were creating value from an ever-growing volume of data obtained from a variety of sources. This resulted from data-derived insights, which then guided actions taken at every level of the organization. The findings identified nine levers that enabled the organizations to create the most value.
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ibm, midmarket, ibm global analytics study, analytics, business insights, profitability, big data, business analytics, data-driven insights, decision making
    
IBM
Published By: Lenovo and Intel®     Published Date: Jan 08, 2019
If you are trying to process, understand, and benefit from "big data," you need SAP® HANA®. In-memory database Process data at extreme speeds Real-time analytics and insights If you want to make sure you have access to your data for insights, whenever and wherever you need them, then SAP HANA on Lenovo's future-defined infrastructure—powered by the Intel® Xeon® Platinum processor—delivers what you need. Get the details on everything you need to know about the value of SAP HANA, why SAP chose Lenovo for their own HANA installation, and how Lenovo can help your organization today.
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sap hana, lenovo, intel, big data, database, analytics, insights
    
Lenovo and Intel®
Published By: Lenovo and Intel     Published Date: Jan 03, 2019
An essential guide to navigate the SAP HANA journey
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lenovo, intel, sap hana, big data
    
Lenovo and Intel
Published By: Cisco     Published Date: Jan 05, 2015
The data center has gone through many major evolutionary changes over the past several decades, and each change has been defined by major shifts in architectures. The industry moved from the mainframe era to client/server computing and then to Internet computing. In 2011, another major shift began: the shift to a virtual data center. This has been the primary driver in enabling customers to transition to the cloud and ultimately IT as a service. The shift to a virtual data center will be the single biggest transition in the history of computing. It will reshape all the major data center tiers: applications, storage, servers and the network.
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data center, consolidation, server virtualization, new applications, it management, data management
    
Cisco
Published By: Cisco     Published Date: May 14, 2015
The shift to a virtual data center will be the single biggest transition in the history of computing. It will reshape all the major data center tiers: applications, storage, servers and the network.
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data center, software, networking, virtualization, cloud computing, infrastructure, design and facilities
    
Cisco
Published By: IBM     Published Date: Jul 05, 2016
In an environment where data is the most critical natural resource, speed-of-thought insights from information and analytics are a critical competitive imperative.
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ibm, data warehouse, big data, analytics, data warehouse, business intelligence, knowledge management, data management, data center
    
IBM
Published By: Pure Storage     Published Date: Oct 09, 2018
Apache® Spark™ has become a vital technology for development teams looking to leverage an ultrafast in-memory data engine for big data analytics. Spark is a flexible open-source platform, letting developers write applications in Java, Scala, Python or R. With Spark, development teams can accelerate analytics applications by orders of magnitude
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Apache® Spark™ has become a vital technology for development teams looking to leverage an ultrafast in-memory data engine for big data analytics. Spark is a flexible open-source platform, letting developers write applications in Java, Scala, Python or R. With Spark, development teams can accelerate analytics applications by orders of magnitude.
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Pure Storage
Published By: Kaseya     Published Date: Mar 12, 2015
TechValidate invited over 6,300 IT Professionals to participate in a survey and provide insight about the current Backup and Disaster Recovery landscape.
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backup, disaster recovery, it challenges, it solutions, automated data management, virtualization, big data, backup and recovery, storage management, marketing automation, server virtualization, database security, data center design and management
    
Kaseya
Published By: Kaseya     Published Date: May 13, 2015
TechValidate invited over 6,300 IT Professionals to participate in a survey and provide insight about the current Backup and Disaster Recovery landscape.
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kaseya, hybrid, cloud, management, msp, mobile, big data, disaster recovery, compliance, cloud computing, infrastructure, mobile device management
    
Kaseya
Published By: Ahead     Published Date: Jun 05, 2019
Digital Business Continues to Move the Cyber Goal Posts Fortune magazine estimates that by the year 2020, US companies will spend $101 billion per year on cyber security, up 38% from 2016. With all of the money being invested in cyber security, why do the pace and complexity of new security threats continue to rise year after year? A big reason is that today’s digital business involves a more mobile workforce with expectations of immediate and on demand access to data fronted by intuitive and engaging user experiences, and often underpinned by public cloud infrastructure for increased agility and time to market.
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Ahead
Published By: Juniper Networks     Published Date: Aug 08, 2017
Business evolution and technology advancements during the last decade have driven a sea change in the way data centers are funded, organized, and managed. Enterprises are now focusing on a profound digital transformation which is a continuous adjustment of technology management resources to deliver business results, guided by rapid review of desired outcomes related to end clients, resources, and budget constraints. These IT transitions are very much part of the competitive landscape, and executed correctly, they become competitive differentiators and enable bottom line growth. These outcomes are driving data centers to virtualization, service-oriented architectures, increased cybersecurity, “big data,” and “cloud,” to name a few of the key factors. This is completely rethinking and retooling the way enterprises handle the applications, data, security, and access that constitute their critical IT resources. In essence, cloud is the new IT.
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Juniper Networks
Published By: Splunk     Published Date: Oct 15, 2012
Supporting a Big-data Approach for Security Intelligence
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splunk, security, malware protection, security, it infrastructure, security intelligence, business technology, data center
    
Splunk
Published By: IBM     Published Date: Jul 02, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
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IBM
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
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Group M_IBM Q418
Published By: Group M_IBM Q418     Published Date: Dec 18, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does.
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Group M_IBM Q418
Published By: Group M_IBM Q119     Published Date: Dec 18, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does.
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Group M_IBM Q119
Published By: SAS     Published Date: Jun 06, 2018
This A-to-Z guide includes 101 common terms related to the Internet of Things. It’s not an exhaustive list, given that the IoT and big data are evolving so quickly, but rather a quick go-to resource for the technically savvy data professional who wants to get a handle on this vast IoT and big data ecosystem. This guide for the “non-geek” does include some technical terms, but they are explained sans technical “geek speak.” We also provide context to how a term may be connected to a larger discussion by grouping terms by category.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
This A-to-Z guide includes 101 common terms related to the Internet of Things. It’s not an exhaustive list, given that the IoT and big data are evolving so quickly, but rather a quick go-to resource for the technically savvy data professional who wants to get a handle on this vast IoT and big data ecosystem. This guide for the “non-geek” does include some technical terms, but they are explained sans technical “geek speak.” We also provide context to how a term may be connected to a larger discussion by grouping terms by category.
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SAS
Published By: JBoss Developer     Published Date: Oct 21, 2016
Java applications have been a central technology for enterprises for two decades. This wealth of data, functionality, and knowledge are critical to enterprises. With Java-based applications, modern development can build on a platform that enables cloud-native architectures while simultaneously supporting existing applications. This combination of traditional enterprise-wide monoliths and cloud-based application deployment allows organizations to take advantage of existing knowledge and resources while actively moving toward newer application models.
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middleware, java, big data, analytics, mobile development, database development, cloud computing
    
JBoss Developer
Published By: Dell EMC     Published Date: Oct 08, 2015
Download this white paper to learn how the company deployed a Dell and Hadoop cluster based on Dell and Intel® technologies to support a new big data insight solution that gives clients a unified view of customer data.
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Dell EMC
Published By: Schneider Electric     Published Date: Aug 15, 2017
In today’s world of being “on” 24/7, data centers are at the core of business and viewed as the way to create competitive differentiation. Speed, efficiency, flexibility, and scale are now critical for winning the race to meet new connectivity and processing demands caused by the Internet of Things (IoT) and Big Data.
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planning process, reference designs, cost analysis, design, site selection, schneider, electric
    
Schneider Electric
Published By: Dassault Systèmes     Published Date: Jun 19, 2018
This white paper outlines a framework that emphasizes digitization and business transformation and the new opportunities pull processes bring. The mechanism of “Pull” processes—those triggered by an actual event instead of a forecast—is nothing new. It is at the heart of many successful manufacturing strategies. Recent technological advances in digitization, including the harnessing of Big Data analytics, the use of the cloud, Business Process Management (BPM), social media, IIoT, and mobility, have extended the power of Pull beyond Lean manufacturing. In the wake of the current technological innovation wave, it is not uncommon for manufacturers to not know what next step to take. In light of these new developments, this white paper will focus on the mechanism of business transformation enabled by these technologies, which can be attributed to two major forces: the power of Pull and digitization. Nine practical applications are detailed, showing how innovative manufacturers can better
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Dassault Systèmes
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