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Published By: Dun & Bradstreet     Published Date: Feb 03, 2016
According to eMarketer, digital marketers have a “love affair with data,” and are planning to increase spending and usage in data-driven marketing strategies. Data helps marketers make more informed decisions about their most receptive audiences, so it should come as no surprise that 75% of B2B marketers currently leverage data to inform their digital advertising strategy, according to a new study.
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Dun & Bradstreet
Published By: Hitachi Vantara     Published Date: Aug 14, 2018
In this book, we are going to look at the key trends driving the modernization of data infrastructure. We’ll see how organizations are adapting and flourishing in a data-driven world. For some time, headlines have been around the internet of things (IoT), big data and data analytics. While these developments are important, the reality is that you cannot take full advantage of them without modernization. We’re going to look at these trends and priorities in detail, then look at the three key drivers of modernization: governance, mobilization and analytics. We’ll also consider the technologies that make up modern data infrastructure including artificial intelligence (AI), flash storage, converged and hyperconverged platforms and software-defined infrastructures. By making sense of data, we make sense of the world. With more data than ever before, we have the tools to turn all that information into intelligent innovation and change the way the world works.
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data infrastructure, big data, internet of things
    
Hitachi Vantara
Published By: Hitachi Vantara     Published Date: Aug 16, 2018
In this infographic, we are going to show you the possibilities with modernized, optimized data infrastructure. In doing so, we aim to bring you ideas about how you can bring your own data-driven business vision to life, focusing on the outcomes that matter most to you. In essence, we will be discussing five main industries and the possibilities for modernized data infrastructure. We will be displaying how Banking and Financial Services, Telecommunications, Manufacturing, Healthcare and Retail can use data, analytics and automation to optimize their business, therefore bringing about a competitive edge which previously appeared unimaginable. Using data correctly, most importantly building proper data infrastructures, can be the driving force behind obtaining a competitive edge. Data is your story. And it’s our story, too.
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Hitachi Vantara
Published By: Here Technologies     Published Date: Jul 19, 2018
Transportation companies are expected to solve logistical challenges, improve service, optimize costs and increase efficiencies. More and more, they are turning to new IoT technologies to help them achieve this. In this guide, we’ve identified the latest location, routing and other data-driven services, that are helping commercial fleet management and logistics organizations differentiate and lead the way in an increasingly complex market.
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Here Technologies
Published By: IBM     Published Date: May 16, 2016
The data-driven organization is the new benchmark for success. Firms that harness data to dictate strategic and tactical decisions companywide make more informed business plans, better optimize operations, improve customer interactions, and provide competitive edge. To achieve these benefits, organizations increasingly see data refinement - transforming raw data from various sources into relevant and actionable information and delivering it through self - service access to any user who needs it - as the path toward success by helping break though immature processes and legacy systems. However, data refinement only functions as well as the strategies and approaches behind it. Organizations that do not understand the right way to embrace refinement will fail to catch up to competitors that have mastered the correct approach.
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ibm, forrester, data-driven organization, data, analytics, analytic architecture
    
IBM
Published By: IBM     Published Date: May 26, 2017
Securing your infrastructure, your customer interactions and protecting your data are critical to preserving your reputation and your bottom line. Many cyber attacks remain undetected for up to eight months1 and can cost an organization an average of 11 million USD.2 Today’s cyber actors are becoming more sophisticated, agile and capable of getting past any network security. Organizations must evolve, replacing traditional defensive security strategies with a proactive, intelligence-driven offense to prevent and disrupt these threats. IBM® i2® Enterprise Insight Analysis is a next generation intelligence solution that enables organizations to incorporate cyber threat hunting into their security strategy and turn their defense into a proactive offense.It helps organizations uncover critical insights about their threats and threat actors so they can mitigate and counter more threats with a combination of multi-dimensional visualte analysis capabilities
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ibm, ibm i2, cyber security, customer interaction, enterprise insight analysis
    
IBM
Published By: Workday     Published Date: Oct 18, 2018
How can you put the power of real-time analytics into the hands of business users? Watch this video to learn about the technologies surrounding self-service analytics and data integration, and how you can use them to lead a data-driven organization.
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Workday
Published By: Dun & Bradstreet     Published Date: Jul 15, 2015
We’ve all heard of data-driven marketing. Learn how to be data-inspired.
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Dun & Bradstreet
Published By: MarkLogic     Published Date: May 16, 2017
Getting data from today’s television and film production and post-production workflows may seem like you’re moving through molasses. Mired in manual processes, attempting to manage and automate data during the creation stage of your content’s lifecycle can sometimes feel like a losing battle as the demands of creatives constantly move forward. Hear Lulu Zezza, Physical Production Executive for New Regency Productions, Matt Turner, Media & Entertainment CTO, MarkLogic, and Guy Finley, Executive Director, Media & Entertainment Strategic Alliance (MESA) as they discuss: o Metadata’s value and its evolution, beyond delivery and experiences, to harnessing critical production data o Results of taking a new approach to bring this data together with context and meaning that impacts other business unit roles o How the New Regency team created a software driven production data hub that is enabling creatives to work seamlessly on the project, in a comfortable UI/UX driven environment, with e
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MarkLogic
Published By: Oracle HCM Cloud     Published Date: Jun 07, 2016
Leveraging analytics to drive business growth is top-of-mind for corporate (C-Suite) leaders, prompting HR executives to take a more strategic, data-driven approach to workforce management. Learn the art and science of combining workforce data, business data and IT expertise together to allow HR departments to make more effective and efficient decisions about people.
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Oracle HCM Cloud
Published By: Carbonite     Published Date: Oct 10, 2018
Overview Key Challenges Organizations still struggle with communication between data owners and those responsible for administering DLP systems, leading to technology-driven — rather than business-driven — implementations. Many clients who deploy enterprise DLP systems struggle to get out of the initial phases of discovering and monitoring data flows, never realizing the potential benefits of deeper data analytics or applying appropriate data protections. DLP as a technology has a reputation of being a high-maintenance control — incomplete deployments are common, tuning is a never-ending process, lack of organization buy-in is low, and calculations of ROI are complex.
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Carbonite
Published By: Google Analytics 360 Suite     Published Date: Sep 05, 2017
Today’s meandering customer journeys take place over multiple channels and devices. Each interaction creates a stream of digital information, leaving marketers with a growing pile of data. But, with data seemingly everywhere, why are so many marketers still feeling like there’s not a drop to drink? Leaders Have a Data Strategy and Enable More Teams with Data In this research report from June 2017, Econsultancy surveyed more than 700 marketing and analytics executives at consumer brands to better understand how data factors into marketing strategy — and daily decision making. Two-thirds of leading marketers — those who outperformed their top business goal — say they currently have a documented data and analytics strategy. In this report, you’ll also learn how leaders have built data-driven cultures and why they are more likely to use: digital analytics to optimize user experience in real time audience-level data to personalize customer experience customer-level data to segment and r
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Google Analytics 360 Suite
Published By: IBM Watson Health     Published Date: Oct 27, 2017
With the proliferation of health and fitness data due to personal fitness trackers, medical devices and other sensors that collect real-time information, cognitive computing is becoming more and more important. Cognitive computing systems, with the ability to understand, reason and learn while interacting with human-generated data, enable providers to find meaningful patterns in vast seas of information. IBM Watson Health is leveraging the power of cognitive computing to help providers make data-driven decisions to improve and save lives worldwide, while controlling healthcare costs. Read our whitepaper and learn about the new era of cognitive computing and how it can improve health outcomes, optimize care and engage individuals in making healthy choices.
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cognitive computing, data, insights, health outcomes, healthcare delivery, healthcare costs, care, healthy choices, engagement
    
IBM Watson Health
Published By: Pure Storage     Published Date: Oct 09, 2018
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data.
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Pure Storage
Published By: Pure Storage     Published Date: Mar 15, 2018
Managing technology refreshes is not a popular task among enterprise storage administrators, although it is a necessary task for successful businesses. As a business evolves, managing more data and adding new applications in the process, enterprise storage infrastructure inevitably needs to grow in performance and capacity. Enterprise storage solutions have traditionally imposed limitations in terms of their ability to easily accommodate technology refreshes that keep infrastructure current and operating reliably and most cost effectively. In 2015, Pure Storage introduced a new technology refresh model that has driven strong change in the enterprise storage industry by addressing the major pain points of legacy models and provided overall a much more cost-effective life-cycle management approach. In conjunction with other aspects of Pure Storage's enterprise storage product and services offerings, the company's "Evergreen Storage" technology refresh model has contributed to this all-f
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Pure Storage
Published By: IBM     Published Date: Apr 19, 2016
This white paper describes how IBM’s Pure Data System for Analytics delivers speed and simplicity to help organizations become more responsive and agile in today’s increasingly mobile and data-driven market.
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ibm, ibm pure data system, big data, data analytics, analytics architecture
    
IBM
Published By: IBM     Published Date: Jul 05, 2016
Today's data-driven organization is faced with magnified urgency around data volume, user needs and compressed decision time frames. In order to address these challenges, while maintaining an effective analytical culture, many organizations are exploring cloud-based environments coupled with powerful business intelligence (BI) and analytical technology to accelerate decisions and enhance performance.
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ibm, datamart on demand, analytics, cloud, hybrid cloud, business insight
    
IBM
Published By: IBM     Published Date: Jul 05, 2016
This white paper describes how IBM’s Pure Data System for Analytics delivers speed and simplicity to help organizations become more responsive and agile in today’s increasingly mobile and data-driven market.
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ibm, ibm pure data system, big data, data analytics, analytics architecture
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
This white paper describes how IBM’s Pure Data System for Analytics delivers speed and simplicity to help organizations become more responsive and agile in today’s increasingly mobile and data-driven market.
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ibm, ibm pure data system, big data, data analytics, analytics architecture
    
IBM
Published By: Kofax     Published Date: Sep 08, 2011
The Kofax enterprise capture platform offers unmatched scalability from centralized to highly distributed environments, from individual desktops to enterprise deployments and from basic archival scanning to powerful document classification and separation and data extraction. The company's market leading technology supports a wide variety of input devices and line of business applications, providing a strong enterprise-wide platform on which to standardize document driven processes.
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kofax ktm, transformation modules, capture, vrs, scan to process, enterprise capture, customer-centric, automated document classification, metadata extraction, new account applications, mfps, loan and mortgage processing, sap, funds processing, credit card application processing, swift format, icr, ocr, omr, automatically index
    
Kofax
Published By: Teradata     Published Date: Jun 12, 2013
Because subpar analytics put customer relationships at risk, Forrester is redefining the modern practice of web analytics as "digital intelligence." This new approach to analytics brings a set of expanded requirements and calls on firms to consider their technology frameworks, organizational structures, metrics, and optimization practices.
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web analytics, data driven marketing, digital intelligence
    
Teradata
Published By: Teradata     Published Date: Jun 12, 2013
This paper takes a look at the hard truths and common misconceptions surrounding big data. In particular, it focuses on five common myths about large-scale analytics, athen offers a glimpse at the next steps necessary to make big data work for you.
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big data, big data analytics, data driven marketing, finance
    
Teradata
Published By: Teradata     Published Date: Jun 12, 2013
Health plans and insurers know that to thrive over the next 3-5 years, they must dramatically improve their ability to engage with individual consumers. The combination of Teradata products; an integrated data warehouse, Aster big data analytics and Aprimo integrated communication management, creates actionable analytic capabilities unparalleled in its ability to help companies achieve these goals. this white paper details how health plans and insurers can use Teradata to succeed in today’s healthcare environment.
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healthcare, data, insights, health plans, integrated data, information technology, meaningful use, business intelligence, data warehousing, health information exchange (hei), network infrastructure
    
Teradata
Published By: Teradata     Published Date: Jun 14, 2013
This paper explains how customer relationships can be threatened by lack of insight into their behaviors and preferences and how financial services organizations can use data analytics and customer-centric marketing to improve these relationships and drive business.
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customer data analytics, data driven marketing, customer relationships, customer centric marketing, finance
    
Teradata
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