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Published By: AWS     Published Date: Jun 20, 2018
Data and analytics have become an indispensable part of gaining and keeping a competitive edge. But many legacy data warehouses introduce a new challenge for organizations trying to manage large data sets: only a fraction of their data is ever made available for analysis. We call this the “dark data” problem: companies know there is value in the data they collected, but their existing data warehouse is too complex, too slow, and just too expensive to use. A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated q
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AWS
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: Cloudian     Published Date: Feb 15, 2018
We are living in an age of explosive data growth. IDC projects that the digital universe is growing 50% a year, doubling in size every 2 years. In media and entertainment, the growth is even faster as capacity-intensive formats such as 4K, 8K, and 360/VR gain traction. Fortunately, new trends in data storage are making it easier to stay ahead of the curve. In this paper, we will examine how object storage stacks up against LTO tape for media archives and backup. In addition to a detailed total cost of ownership (TCO) analysis covering both capital and operational expenses, this paper will look at the opportunity costs of not leveraging the real-time data access of object storage to monetize existing data. Finally, we will demonstrate the validity of the analysis with a real-world case study of a longstanding network TV show that made the switch from tape to object storage. The limitations of tape storage go way beyond its lack of scalability. Data that isn’t searchable is becoming
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Cloudian
Published By: Intouch Insight     Published Date: May 15, 2018
From "actionable insights" to "voice of the employee (VOE)", there are many buzzwords related to customer experience management. This handy 3-page guide will help you decode all of the industry buzzwords. Inside you'll find: • Age of the Customer • CX Action Campaigns • Data Mining • Double-Barreled Question • Key Driver Analysis • Net Promoter Score • Omnichannel • Many more!
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Intouch Insight
Published By: Infosys BPM Ltd     Published Date: Feb 12, 2019
The role of FP&A professionals during the first two weeks of the month entails rushing for month closure, gathering data sets, reports, and scrutinizing, processing and analyzing data in Excel workbooks in discussion with the top management. Increasing revenues, optimizing costs, and aligning with the overall business strategy are a few familiar goals laid down for financial planning and analysis (FP&A) professionals. These goals trickle down from finance leaders who are under constant pressure to provide accurate and timely reporting and analysis to support effective decision making. Read on to know how can digitizing FP&A help the finance team to make more robust decisions and be a key part of the finance transformation.
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Infosys BPM Ltd
Published By: Procore     Published Date: May 13, 2019
As the construction industry becomes more competitive, regulations increase and skilled labour becomes more selective; the one thing that will define your company from the competition is your data. The best companies use real, situational data in pre-task analyses daily to report on and improve their Quality, Safety and Productivity processes and performance. Download your copy to learn: • The importance of including quality, safety and productivity in your pre-task analyses • Using the three-part task-analysis approach • How to collect meaningful data to track performance
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Procore
Published By: Cisco     Published Date: Apr 03, 2014
The 2014 Cisco® Annual Security Report highlights global threat trends based on real-world data, and provides insight and analysis that helps businesses and governments improve their security posturing for the future.
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cisco, security, firewall, global threat, trends, applications, cloud
    
Cisco
Published By: Cisco     Published Date: Jul 11, 2016
Cisco estimates that the Internet of Everything (IoE) — the networked connection of people, process, data, and things — will generate $19 trillion in Value at Stake for the private and public sectors combined between 2013 and 2022. More than 42 percent of this value — $8 trillion — will come from one of IoE’s chief enablers, the Internet of Things (IoT). Defined by Cisco as “the intelligent connectivity of physical devices, driving massive gains in efficiency, business growth, and quality of life,” IoT often represents the quickest path to IoE value for private and public sector organizations. This paper combines original and secondary research, as well as economic analysis, to provide a roadmap for maximizing value from IoT investments. It also explains why, in the worlds of IoT and IoE, the combination of edge computing/analytics and data center/cloud is essential to driving actionable insights that produce improved business outcomes.
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Cisco
Published By: McAfee EMEA     Published Date: Nov 15, 2017
Machine learning offers the depth, creative problem-solving capabilities, and automation to help security organizations gain significant ground against attackers. It’s a powerful tool for processing massive amounts of data for the purpose of malware classification and analysis, especially for unknown threats. Through supervised learning, human researchers can continually develop new training models that expand the understanding and competency of machine learning systems.
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analytics, security, problem solving, creative, data, researching, malware
    
McAfee EMEA
Published By: McAfee EMEA     Published Date: Mar 14, 2018
Use of cloud computing services continues to grow rapidly as organizations migrate business applications and data to cloud-based software, platform and infrastructure services. Gartner estimates 2017 will see growth of 18% in spending on public cloud services and that cloud adoption will infuence more than 50% of IT spending through 2020. Deloitte Global predicts that by the end of 2022 more than half of all IT spending will go to IT-as-a-service providers. In the 2016 edition of this survey, 56% of the security professionals responding said limitations on access to collect incident response data and evidence for forensic analysis was a key challenge to securing the cloud. Sixty-two percent said they were concerned about unauthorized access by outsiders, and 59% said they worried about access by other cloud tenants. Of the 10% who reported being breached, half blamed stolen credentials or compromised accounts.
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McAfee EMEA
Published By: WatchGuard Technologies     Published Date: Apr 20, 2011
Whether your data loss is accidental or malicious, you need to gain insight into the magnitude of your data loss problem, identify security gaps, and develop a proactive approach to stop data loss before it happens.
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watchguard xcs, data loss protection, data loss prevention, data breach, content analysis, contextual analysis, dlp solution, network security appliance
    
WatchGuard Technologies
Published By: SRC,LLC     Published Date: Jun 01, 2009
Companies spend millions of dollars every year on building data warehouses, buying business intelligence (BI) software tools and managing their analytic processes in the hope of gaining consumer insight and winning market share. Yet, many companies fail to realize the full benefits of their technology investments because they are hamstrung by the layers of expertise and the complexity of technology tools needed to integrate various data warehouses and associated tools within their existing analytic environments. Since analysis is only as good as the accessibility, timeliness and accuracy of the information being analyzed, the interoperability of any data warehouse with any analytic environment is essential to achieving insightful, actionable analysis and making better decisions.
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src, enterprise, streamline, analytics, economy, analytic imperative, business intelligence, seamless
    
SRC,LLC
Published By: SRC,LLC     Published Date: Jun 01, 2009
Today, organizations are collecting data at every level of their business and in volumes that in the past were unimaginable. Data sets are stored in different database systems or in files with distinctive formats, all reflecting business process, application, program software, or information type dependencies. Adding to this complexity is the distribution of these data sets across the enterprise in silos requiring a varied set of tools and/or specialized business rules for data transformation, classification, matching, and integration. Because of the massive amounts of data stored in a variety of representation formats, decision makers strain to derive insights and create business solutions that adequately span and integrate information from these disparate technology islands. Learn more today!
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src, data transformation, classification, business value, geographic business intelligence, geo-bi, etl, extract
    
SRC,LLC
Published By: iKnowtion     Published Date: Nov 09, 2011
Data quality is a key component for optimum customer communications programs. Find out how to determine whether you have appropriate tools in place to support current and future marketing analysis functions.
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crm strategies, data quality, marketing analysis, customer communications, analytics, iknowtion
    
iKnowtion
Published By: iKnowtion     Published Date: Nov 17, 2011
Find out how a customer development plan for digital camera buyers and members of an online communications program identified a core group of loyal customers who were responsible for the majority of sales.
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customer intelligence, customer loyalty, customer profiling, lifecycle analysis, segmentation, crm, retail strategies, data analysis
    
iKnowtion
Published By: EMC Corporation     Published Date: Mar 20, 2014
The status quo approach of collecting more logs from more sources won't help in detecting and responding to advanced threats. Logs are inherently limited in the level security visibility that they provide. Consider a new way of looking at SIEM.
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emc, siem, security transformation, malware detection, malware threats, big data security platform, incident detection, advanced security analysis
    
EMC Corporation
Published By: EMC Corporation     Published Date: Mar 20, 2014
To develop the visibility, agility and speed to deal with advanced threats, security information and event management (SIEM) systems need to evolve into a central nervous system for large-scale security analytics.
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emc, siem, security transformation, malware detection, malware threats, big data security platform, incident detection, advanced security analysis
    
EMC Corporation
Published By: EMC Corporation     Published Date: Mar 20, 2014
Watch this webcast to learn how you can accelerate your security transformation from traditional SIEM to a unified platform for incident detection, investigation and advanced security analysis.
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emc, siem, security transformation, malware detection, malware threats, big data security platform, incident detection, advanced security analysis
    
EMC Corporation
Published By: Oracle     Published Date: Jun 20, 2016
This report examines how two major players in the grocery, pharmacy and wholesale markets are leveraging loss prevention technology to centralize enterprise-wide data collection, analysis, and reporting to protect profits, reduce shrink and provide actionable insight across the organization from merchandising and planning to supply chain.
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analytics, loss prevention, enterprise applications, best practices
    
Oracle
Published By: SumTotal, a Skillsoft Company     Published Date: Aug 24, 2015
Download the complimentary guidebook and learn how your organization can achieve this kind of return through optimized scheduling, ensured compliance, improved productivity and real-time data analysis.
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sumtotal, workforce management, optimization, scheduling, compliance, productivity, data analysis, roi
    
SumTotal, a Skillsoft Company
Published By: MuleSoft     Published Date: Oct 13, 2015
Learn the recommendations to meet the following challenges: Financial services firms are deploying private clouds and PaaS to improve IT manageability and to empower developers, but still need to manage and monitor legacy environments and third party applications Many firms are adopting PaaS to manage microservices and break down legacy applications into discrete components, resulting in many more endpoints to make discoverable, secure, connect, manage and monitor Applications and container technologies deployed on the PaaS may lack the ability to generate “machine data”--detailed information on memory utilization, system resources, endpoint analysis and other critical monitoring statistics
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financial services paas, private clouds, disparate environments, memory utilization, it manageability
    
MuleSoft
Published By: Lenovo and Intel®     Published Date: Oct 14, 2016
Everything you need to know about Infrastructure for Desktop Virtualization—in one eBook. Dive into this extensive eBook to get all the details you need to consider when launching down the path of virtualization. In this eBook, from Brian Suhr, author of the blogs Data Center Zombie and VirtualizeTips, and editor Sachin Chheda, director of solutions and verticals marketing at Nutanix, we provide detailed analysis and key points to consider, including: • Architectural Principles • Building Blocks • Infrastructure Alternatives • Storage Requirements • Compute Sizing Get the eBook
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infrastructure, capacity, monitoring, storage requirements, compute sizing, scalability
    
Lenovo and Intel®
Published By: AWS - ROI DNA     Published Date: Jun 12, 2018
Achieving a 360-degree view of customers has become increasingly challenging as companies embrace omni-channel strategies, engaging customers across websites, mobile, call centers, social media, physical sites, and beyond. Learn how software solutions in AWS Marketplace can automate data lake analysis, enabling self-service platforms for analysis that expand and enhance personalization while deepening customer understanding so you can spend more time acting on insights.
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AWS - ROI DNA
Published By: AWS - ROI DNA     Published Date: Aug 09, 2018
In today's big data digital world, your organization produces large volumes of data with great velocity. Generating value from this data and guiding decision making require quick capture, analysis and action. Without strategies to turn data into insights, the data loses its value and insights become irrelevant. Real-time data inegration and analytics tools play a crucial role in harnessing your data so you can enable business and IT stakeholders to make evidence-based decisions
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AWS - ROI DNA
Published By: Microsoft     Published Date: Jul 20, 2018
Although AI research has been ongoing for decades, the past few years have seen a leap in practical innovations, catalyzed by vast amounts of digital data, online services, and enormous computing power. As a result, technologies such as natural-language understanding, sentiment analysis, speech recognition, image understanding, and machine learning have become accurate enough to power applications across a broad range of industries.
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Microsoft
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