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data managing

Results 51 - 75 of 160Sort Results By: Published Date | Title | Company Name
Published By: Oracle OMC     Published Date: Nov 30, 2017
The face of retail – both online and instore – is rapidly evolving. In addition to margin pressures, resource constraints, and competitive challenges retailers face on an ongoing basis, many are struggling to keep up with the evolving demands of vocal consumers. As new channels and buying habits emerge and evolve, many retail marketers have struggled to keep up. Although many have adopted new technologies to address new channels and challenges, the rapid pace of technological change has created new challenges including: Data silos E-mail marketing overload Channel coordination and conflict These challenges, coupled with the rising cost of acquiring and managing customer data, are compounded by increasing scrutiny on marketing budgets and an expectation of being able to prove the value of every campaign in terms of increased revenues.
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Oracle OMC
Published By: IBM Watson Health     Published Date: Nov 10, 2017
To address the volume, velocity, and variety of data necessary for population health management, healthcare organizations need a big data solution that can integrate with other technologies to optimize care management, care coordination, risk identification and stratification and patient engagement. Read this whitepaper and discover how to build a data infrastructure using the right combination of data sources, a “data lake” framework with massively parallel computing that expedites the answering of queries and the generation of reports to support care teams, analytic tools that identify care gaps and rising risk, predictive modeling, and effective screening mechanisms that quickly find relevant data. In addition to learning about these crucial tools for making your organization’s data infrastructure robust, scalable, and flexible, get valuable information about big data developments such as natural language processing and geographical information systems. Such tools can provide insig
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population health management, big data, data, data analytics, big data solution, data infrastructure, analytic tools, predictive modeling
    
IBM Watson Health
Published By: Cisco and NVIDIA Corporation     Published Date: Nov 10, 2017
It’s time to stop treading water. Your business runs on applications. But the demands placed on your data center make managing them more and more difficult. Without a simple solution to automate management, scaling, and delivery, you’re sinking fast.
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sdn, citrix, cisco, application integration, aci, netscaler
    
Cisco and NVIDIA Corporation
Published By: Oracle     Published Date: Nov 08, 2017
To succeed in today’s competitive reality, businesses need to free themselves from the limitations of legacy IT infrastructure. The days of purchasing hardware and maintaining massive data centers to run IT must come to an end. Managing and maintaining your infrastructure is simply too expensive. Explanation of the Oracle IaaS solutions and cases studies.
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oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
    
Oracle
Published By: MarkLogic     Published Date: Nov 07, 2017
Today, data is big, fast, varied and constantly changing. As a result, organizations are managing hundreds of systems and petabytes of data. However, many organizations are unable to get the most value from their data because they’re using RDBMS to solve problems they weren’t designed to fix. Why change? In this white paper, we dive into the details of why relational databases are ill-suited to handle the massive volumes of disparate, varied, and changing data that organizations have in their data centers. It is for this reason that leading organizations are going beyond relational to embrace new kinds of databases. And when they do, the results can be dramatic.
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MarkLogic
Published By: Privacera     Published Date: Oct 23, 2017
Trends indicate that every company should embrace big data and analytics – there’s clearly incredible opportunity for enterprises to derive value from data. But not all companies are clamoring to jump on board with building teams and defining initiatives. The reality is enterprises are analyzing only 0.5% of their data, according to recent study by MIT Technology Review. What’s holding these companies back? This paper will cover the categories of risk and some of the constraints at play, as well as five recommendations to managing and mitigating that risk.
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Privacera
Published By: Oracle     Published Date: Oct 20, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most compani
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Oracle
Published By: Oracle CX     Published Date: Oct 19, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most companies
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Oracle CX
Published By: Lookout     Published Date: Sep 25, 2017
“We don’t have a BYOD programme.” This statement, referencing mobile device usage in the workplace, is a refrain often heard in European organisations that are tasked with securing the privacy of highly confidential data and personally identifiable information, and managing employee authorisation and access to that data. However, businesses often believe that they aren’t actually subject to cyber-threats from mobile devices because, simply, they don’t currently allow personal mobile devices to access their networks. Ultimately, this posture puts data at risk because every company has a BYOD policy whether they like it or not.
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Lookout
Published By: IBM     Published Date: Aug 24, 2017
Data governance is all about managing data, by revising that data to standardize it and bring consistency to the way it is used across numerous business initiatives. What’s more, data governance ensures that critical data is available at the right time to the right person, in a standardized and reliable form. A benefit that fuels better organization of business operations, resulting in improved productivity and efficiency of that organization. Thus, the importance of proper data governance cannot be understated. The concepts of data governance have evolved, where the first iteration of data governance, often referred to as version 1.0, focused on three simplistic elements: objectives, structure and processes; having a limited focus and scope due to its tactical usage. The opportunity from the growing value of data in the realm of analytics, business intelligence, and generating insights was left unrealized. Today, organizations are moving towards what can be called Data Governance 2.0,
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ibm, unified governance strategy, data management, data governance
    
IBM
Published By: Dell EMC     Published Date: Aug 22, 2017
Digital information has quickly become the lifeblood of business success, enabling firms to become more operationally efficient and to better serve their customers. As companies seek to harness their data in new ways, the infrastructure that houses that data can falter under the strain. In response, new innovations have emerged to help address the concerns of managing and protecting these increasingly important data capacities. While some vendors focus innovation development on software alone and allow the hardware to remain commodity, Dell Technologies is delivering some impressive hardware innovation with Isilon’s next generation hardware to complement its software’s disruptive capabilities.
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Dell EMC
Published By: Dell EMC     Published Date: Aug 22, 2017
Data is the foundation of the digital economy, but managing data growth poses a big challenge as organizations ramp up cloud adoption. Whether your organization is adopting a hybrid cloud strategy or building modern apps in the cloud, there are many challenges that can limit your effectiveness. With Isilon CloudPools and ECS, you can take advantage of cloud capabilities without a disruptive time-consuming migration of your data. In this webinar, we’ll discuss how Dell EMC puts you in control with a flexible cloud design, allowing you to take an application-centric approach to your data platform.
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Dell EMC
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"Since a decade the market has seen an outburst of data. With Managing and Securing Data is Crucial. With 3.8 Billion mobile users and 24 Zetta bytes of data created, and 100% attacks that target username and password credentials, managing and securing data has become a crucial and the most critical aspect for almost every Business. Oracle’s SPARC M7 processor, with Oracle’s Software in Silicon technology, is the industry’s most advanced multi thread, multi-core processor with unique capabilities for information security. It sets the foundation for mission-critical cloud based server infrastructure with unprecedented levels of security, efficiency, and performance.
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Oracle PaaS/IaaS/Hardware
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical.
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Oracle PaaS/IaaS/Hardware
Published By: IBM     Published Date: Jul 06, 2017
In order to exploit the diversity of data available and modernize their data architecture, many organizations explore a Hadoop-based data environment for its flexibility and scalability in managing big data. Download this white paper for an investigation into the impact of Hadoop on the data, people, and performance of today's companies.
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hadoop, flexibility, scalability, data architecture
    
IBM
Published By: Epicor     Published Date: Jun 22, 2017
Professionals in the lumber and building materials (LBM) industry know that getting the job done right is all about having the right tools. Lumber and business materials manufacturers and distributors need intuitive software that’s smart enough to simplify the complexities of your business, leverage data to gain valuable sales insight, and deliver exceptional customer service. Epicor BisTrack software is uniquely optimized to help LBM retailers, pro dealers, and distributors grow your business. Learn about the LBM industry-specific functionality that BisTrack offers, like: • Supporting pro dealers and distributors • Optimizing inventory and purchasing • Managing and tracking customer relationships • Improving delivery dispatch efficiency • Introducing mobility and mobile access Take the tour today to see how Epicor BisTrack can help your business.
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lumber, building materials, lbm, erp, bistrack, building materials distributors, lumber distributors, lumber manufacturers
    
Epicor
Published By: MarkLogic     Published Date: Jun 09, 2017
Today, data is big, fast, varied and constantly changing. As a result, organizations are managing hundreds of systems and petabytes of data. However, many organizations are unable to get the most value from their data because they’re using RDBMS to solve problems they weren’t designed to fix. Why change? In this white paper, we dive into the details of why relational databases are ill-suited to handle the massive volumes of disparate, varied, and changing data that organizations have in their data centers. It is for this reason that leading organizations are going beyond relational to embrace new kinds of databases. And when they do, the results can be dramatic
Tags : 
    
MarkLogic
Published By: Dell EMC     Published Date: May 23, 2017
Digital information has quickly become the lifeblood of business success, enabling firms to become more operationally efficient and to better serve their customers. As companies seek to harness their data in new ways, the infrastructure that houses that data can falter under the strain. In response, new innovations have emerged to help address the concerns of managing and protecting these increasingly important data capacities. While some vendors focus innovation development on software alone and allow the hardware to remain commodity, Dell Technologies is delivering some impressive hardware innovation with Isilon’s next generation hardware to complement its software’s disruptive capabilities.
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Dell EMC
Published By: SAS     Published Date: May 04, 2017
Should you modernize with Hadoop? If your goal is to catch, process and analyze more data at dramatically lower costs, the answer is yes. In this e-book, we interview two Hadoop early adopters and two Hadoop implementers to learn how businesses are managing their big data and how analytics projects are evolving with Hadoop. We also provide tips for big data management and share survey results to give a broader picture of Hadoop users. We hope this e-book gives you the information you need to understand the trends, benefits and best practices for Hadoop.
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SAS
Published By: Lenovo and Intel®     Published Date: Apr 28, 2017
The Real Impact of Body Cameras: Unprecedented Secure Storage Demand Body cameras have become a critical component of campus and community policing — they protect everybody’s interests. However, gathering, securing, storing, and managing the terabytes of content created on a monthly basis can be daunting even for the most sophisticated IT teams. In this eBook, we provide a comprehensive look at this growing challenge and how you can get in front of it! Read this eBook now.
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lenovo, higher education, body cameras, campus policing, campus security, data managing, securing data, securing content
    
Lenovo and Intel®
Published By: SAS     Published Date: Apr 25, 2017
If you’re in the data world, you know it’s full of discord. Multiple data sources, inconsistent standards and definitions, inaccurate reports and a lack of governance are enough to derail any organization. What’s an enterprise architect to do? With the right data governance and master data management (MDM) solution, you can set and enforce policies and establish a consistent view of your data without micromanaging it. You can eliminate duplicate and inconsistent data. You can combine traditional data and new big data sources – like streaming data from the IoT – into one harmonious view. Read this e-book for expert advice and case studies that will show you new ways to manage your big data – and make sure everyone’s on the same page.
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SAS
Published By: Datastax     Published Date: Apr 04, 2017
As the big data ecosystem continues to expand, new technologies are addressing the requirements for managing, processing, analyzing, and storing data to help companies benefit from the rich sources of information flowing into their organizations. From NoSQL databases to open source projects to commercial products offered on-premises and in the cloud, the future of big data is being driven by innovative new approaches across the data management lifecycle. The most pressing areas include real-time data processing, interactive analysis, data integration, data governance, and security. Download this report for a better understanding of the current landscape, emerging best practices and real-world successes.
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evolution, big data, technology, datastax, nosql
    
Datastax
Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
Complexity, globalization and digitalization are just some of the elements at play in the risk landscape—and data is becoming a core part of understanding and navigating risk. How do modern finance leaders view, navigate and manage enterprise risk with data? Dun & Bradstreet surveyed global finance leaders across industries and business types. Here are the top trends that emerged from the study: 1. The Enterprise Risk & Strategy Disconnect—Finance leaders are using data and managing risk programs, but over 65% of finance leaders say there’s missing link between risk and strategy. 2. The Risks of the Use and Misuse of Data—Up to 50% of the data used to manage modern risk is disconnected. Only 15% of leaders are confident about the quality of their data. 3. Risky Relationships—Only 20% of finance leaders say the data they use to manage risk is fully integrated and shared. Download the study to learn how finance leaders are approaching data and enterprise risk management
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Dun & Bradstreet
Published By: VMware     Published Date: Feb 24, 2017
End users expect to be able to work anywhere, at any time, and from any device. Additionally, they expect a similar experience for accessing work apps and data across all their devices—desktop, laptop, tablet, and smartphone. Meeting these expectations is becoming more and more complex for IT teams that continue to use multiple disconnected tools to manage mobile and desktop devices. A unified endpoint management (UEM) solution provides a holistic and user-centric approach to managing all endpoints. VMware AirWatch® Unified Endpoint Management™ provides IT with a comprehensive view of asset inventory and full lifecycle management of endpoints across the organization. Read more to learn why leading organizations around the world rely on VMware AirWatch unified endpoint management for their enterprise mobility solution.
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VMware
Published By: Cleo     Published Date: Jan 03, 2017
Modern MFT is designed to connect all of your information sources and consumers in a way that drives business agility with a simple user experience to manage data movement across your organization and beyond. With legacy and outsourced MFT technologies, companies are at a disadvantage when it comes to managing business-critical file transfers. Read this white paper to learn 10 considerations when evaluating the capabilities of your existing MFT solution or a replacement to help your business better meet existing and future use-case requirement.
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cleo, mft, mft technology, file transfer, b2b integration, enterprise applications
    
Cleo
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