analytics

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Published By: McAfee     Published Date: Apr 25, 2014
As malware becomes ever more sophisticated and evasive, new technologies are emerging to uncover threats no matter how well they’re camouflaged. This paper proposes a logical design strategy for dynamic malware analysis that optimizes detection effectiveness, efficiency, and economics.
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malware detection, data analytics, dynamic sandboxing, static analytics, zero-day malware, comprehensive threat protection, fast detection, malware analysis
    
McAfee
Published By: EMC Corporation     Published Date: Aug 05, 2014
Roland Cloutier, CISO of ADP, describes how the largest single payer in the US tax system leverages RSA Security Analytics as the foundation of their Trusted Platform Security Initiative.
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case study, adp, best practices, security analytics, rsa, trusted platform security initiative, security, security management
    
EMC Corporation
Published By: McAfee     Published Date: Mar 31, 2017
Overwhelmed by the volume of security intelligence and alerts, human analysts need machine learning to augment and accelerate efforts. Machine learning moves security analytics from diagnostic and descriptive to prescriptive and proactive, leading to faster and more accurate detection.
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machine learning, advanced analytics, advanced threats, sandbox, zero-day, malware, mcafee labs, dynamic endpoint
    
McAfee
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: IBM     Published Date: Feb 05, 2015
The Hurwitz Victory Index scores vendor performance across four dimensions -- Vision, Viability, Validity, and Value. IBM excelled in all four categories.
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advanced analytics, vendor performance, market trends, analytics platforms, customer experience/engagement, business intelligence, market research, data management/analytics
    
IBM
Published By: IBM     Published Date: May 19, 2015
In this report we assess the performance of major providers of advanced analytics solutions and provide insight into how their customers are benefiting from these solutions.
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advanced analytics, analytic solutions, complex predictive models, analytics platform, metrics, business metrics, application integration, application performance management
    
IBM
Published By: IBM     Published Date: Oct 07, 2015
Based on our interviews with customers that are leveraging advanced analytics to drive more predictive outcomes for their companies, we found the following conclusions were consistent across all customers.
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it management, data management, business technology, data center
    
IBM
Published By: SAP     Published Date: Nov 22, 2011
Analytics has moved from the specialty of a dedicated few to a necessity for broad groups of business professionals to do their job. This white paper considers the use of analytics and business intelligence in the banking industry for improving decision making and the benefits of prebuilt analytic applications for achieving this objective across many functions in a banking organization.
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idc, finance, technology, business, banking, analytics, decision making, business analytics
    
SAP
Published By: IBM     Published Date: Dec 07, 2010
Case Management and the Implications in these Energy and Utilities Industries.
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ibm, advanced case management podcast, energy and utilities industries, content and process management, analytics, business rules, collaboration, utility computing
    
IBM
Published By: IBM     Published Date: Dec 07, 2010
Case Management And the Implications in the Financial Services Industry.
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ibm, advanced case management podcast, financial services industry, customer service, content and process management, analytics, business rules, collaboration
    
IBM
Published By: IBM     Published Date: Dec 07, 2010
Case Management And the Implications in the Government industry.
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ibm, enterprise content management, advanced case management, government agencies, content and process management, analytics, business rules, collaboration and social software
    
IBM
Published By: IBM     Published Date: Dec 07, 2010
Case Management and the Implications in the Healthcare industry.
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ibm, enterprise content management, advanced case management, healthcare agencies, automation, customer service, regulatory compliance, content and process management
    
IBM
Published By: Cisco     Published Date: Jul 08, 2016
What You Will Learn: This document will identify the essential capabilities you need in an advanced malware protection solution, the key questions you should ask your vendor, and shows you how Cisco combats today’s advanced malware attacks using a combination of four techniques: • Advanced analytics • Collective global security threat intelligence • Enforcement across multiple form factors (networks, endpoints, mobile devices, secure gateways, and virtual systems) • Continuous analysis and retrospective security
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Cisco
Published By: Cisco     Published Date: Feb 16, 2016
This document will identify the essential capabilities you need in an advanced malware protection solution, the key questions you should ask your vendor, and shows you how Cisco combats today’s advanced malware attacks using a combination of four techniques.
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cisco, malware, data security, analytics, global security threat, security
    
Cisco
Published By: Juniper Networks     Published Date: Jul 31, 2019
When data center architecture extends beyond even moderate amounts of sophistication and complexity, it becomes a daunting challenge for operators to understand what is going on by relying on common tools and processes alone. Read this eGuide for five recommendations that can help you make sense of your data.
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cloud providers, cloud provisioning, cloud services, data centre, data centre provider
    
Juniper Networks
Published By: Tealeaf     Published Date: Mar 31, 2011
Given the increasing importance of connected channels to nearly all businesses and government functions, it is no wonder that analysis of these channels is getting more attention.
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tealeaf, advanced site optimization, web analytics, digital analysis application, analytics intelligence, marketing software, customer experience/engagement, business intelligence
    
Tealeaf
Published By: IBM     Published Date: Oct 30, 2013
Learn how leading companies are using performance management analytics to unlock business value.
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ibm, disclosure management, financial disclosure, risk management, complex reporting, global statutory reporting, financial data, operational data
    
IBM
Published By: Workday APAC     Published Date: Apr 10, 2019
As your organization’s finance leader, the opportunity to better understand the landscape and your business has never been greater. Advances in analytics—powered by digital technologies, such as automation and machine learning—give finance teams deeper business insights. Read the story.
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Workday APAC
Published By: Workday APAC     Published Date: Apr 10, 2019
As your organization’s finance leader, the opportunity to better understand the landscape and your business has never been greater. Advances in analytics—powered by digital technologies, such as automation and machine learning—give finance teams deeper business insights. Read the story.
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Workday APAC
Published By: Workday APAC     Published Date: May 08, 2019
As your organization’s finance leader, the opportunity to better understand the landscape and your business has never been greater. Advances in analytics—powered by digital technologies, such as automation and machine learning—give finance teams deeper business insights. Read the story.
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Workday APAC
Published By: DataFlux     Published Date: Jan 07, 2011
This white paper, the first in a sequence, addresses the question, "who, specifically, are those right groups and right people?" on several different levels. It also highlights underlying principles that, properly applied, lead to solid answers to the "who" questions for a wide variety of scenarios.
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dataflux, data agenda, data quality, governance, analytics, measurement and reporting, automation, test and measurement
    
DataFlux
Published By: Hewlett Packard Enterprise     Published Date: Jul 25, 2019
With digital IT transformation solutions and new business models driven by the democratization of data, advanced analytics, and a citizen-centric approach, HPE helps cities like yours get smarter—and continue to evolve into great places for your citizens to live. Visit hpe.com/info/public-sector to learn how you can take the next step on your journey.
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Hewlett Packard Enterprise
Published By: Akamai Technologies     Published Date: Aug 22, 2018
Malicious botnets present multiple challenges to enterprises — some threaten security, and others merely impact performance or web analytics. A growing concern in the bot environment is the practice of credential stuffing, which capitalizes on both a bot’s ability to automate repeat attempts and the growing number of online accounts held by a single user. As bot technologies have evolved, so have their methods of evading detection. This report explains how the credential stuffing exploit challenges typical bot management strategies, and calls for a more comprehensive approach.
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management, bot, security, credential, akamai
    
Akamai Technologies
Published By: SAS     Published Date: Apr 04, 2018
Location analytics is the process of integrating geographical data into business intelligence (BI) and analytics-led decision making. Location analytics creates meaningful insight from relationships found in geospatial data to solve a broad variety of business and social problems. Location data is found everywhere – with an item or a device, in a conversation or behavior, in machines or sensors, tied to a customer or competitor, attached to a database record or recorded from vehicles or other moving objects. Organizations want to take advantage of location data to improve decisions, create better customer engagement and experiences, reduce risks and automate business processes.
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SAS
Published By: SAS     Published Date: Mar 01, 2012
The traditional managed reporting approach to BI is challenged to keep up with changing demand for business information. This research finds that providing business users with highly visual/interactive tools can help ensure they get what they need.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
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