data mining

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Published By: MalwareBytes EMEA     Published Date: May 10, 2019
Enterprises, beware. Threat actors are continuing to eye businesses for high returns on investment in Q1 2019, breaching infrastructure, exfiltrating or holding data hostage, and abusing weak credentials for continued, targeted monitoring. From a steadfast increase of pervasive Trojans, such as Emotet, to a resurgence of ransomware lodged against corporate targets, cybercriminals are going after organizations with a vengeance. Yet every cloud has a silver lining, and for all the additional effort thrown at businesses, consumer threats are now on the decline. Ransomware against consumers has slowed down to a trickle and cryptomining, at a fever pitch against consumers this time last year, has all but died. Interestingly, this has resulted in an overall decline in the volume of malware detections from Q4 2018 to Q1 2019. While threat actors made themselves busy with challenging new victims, they ensnared targets in the old ways, using tried-and-true malspam and social engineering tactic
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MalwareBytes EMEA
Published By: Motorola Solutions     Published Date: Nov 29, 2018
In today’s increasingly mobile world, Energy workers require instant communication and access to data intelligence wherever the job may take them. From the oil rig to the electric grid and everywhere in between, having the right data, in the right hands, at the right time, no matter the environment or device of choice — is simply non-negotiable. Organizations across various Energy segments — oil & gas, electric utilities, water utilities, and mining — are currently juggling a mix of communication devices and are hindered by gaps in coverage, poor battery life and fragile equipment that cannot withstand harsh environmental conditions. Yet, citizens rely on their homes being heated in the winter, on clean running water, and on lights that turn on when they flip the switch. Meeting these expectations requires reliable, clear voice and data communications for Energy workers day-in and day-out. So oil & gas workers can communicate safely in hazardous environments. So precious resources are
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Motorola Solutions
Published By: Jebbit     Published Date: Jun 12, 2018
As marketers, we use data at every level, from determining Facebook targeting to timing a major product launch. But how often do we take a look under the hood at the quality and usefulness of our data? In this playbook, we’ll cover the strengths and weaknesses of third-party, second-party, and first-party data and where declared data fits into the current data landscape. You’ll learn plays for activating declared data for: Qualified lead generation 1-to-1 email personalization Custom audiences and personalized retargeting Audience building and profiling In this section, we’ll cover the definitions, sources, and strengths and weaknesses of third-, second-, and first-party data.
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data, jebbit, remarketing, audiences, omnichannel
    
Jebbit
Published By: CA Technologies     Published Date: Jun 01, 2018
Privileged user accounts—whether usurped, abused or simply misused—are at the heart of most data breaches. Security teams are increasingly evaluating comprehensive privileged access management (PAM) solutions to avoid the damage that could be caused by a rogue user with elevated privileges, or a privileged user who is tired, stressed or simply makes a mistake. Pressure from executives and audit teams to reduce business exposure reinforces their effort, but comprehensive PAM solutions can incur hidden costs, depending on the implementation strategy adopted. With multiple capabilities including password vaults, session management and monitoring, and often user behavior analytics and threat intelligence, the way a PAM solution is implemented can have a major impact on the cost and the benefits. This report provides a blueprint for determining the direct, indirect and hidden costs of a PAM deployment over time.
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CA Technologies
Published By: SAS     Published Date: May 24, 2018
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
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SAS
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: Epson     Published Date: May 10, 2018
Online, mobile, omnichannel, untethered, data mining, automation, and remote communication are all now buzzwords surrounding the new technologies and resources financial institutions have to help them re-invent their branch experience. Capabilities are available today that were not imagined a decade ago. This is an exciting time for those institutions that can look to the future and enhance their offerings. While technology is driving change, it can also be a tremendous challenge for financial institutions as they work to keep pace and even take advantage of the dramatic shift in customer needs and expectations. Millennials, baby boomers, small businesses – all are important market segments with very different wants and needs. Driven by technology, the new demand is for a complete online presence, complemented by more flexibility in personalized services, and specialized expertise available in every branch. Suffice it to say, financial institutions of all sizes and in every geography a
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Epson
Published By: FICO     Published Date: Mar 02, 2018
The role of analytics in managing, improving and ultimately transforming supply chains cannot be understated. But what about the analytics themselves? FICO’s Zahir Balaporia and renowned author Tom Davenport use the term “The Analytics Supply Chain” to reflect that the actual analytics themselves parallel supply chains, with inherent challenges and problems if things “get stuck.” Rethinking analytics in these terms can not only improve supply chain performance, but also any other business problems you seek to solve. This article targets: · Steps in the analytics supply chain and the vital role of data and analytic models · How your predictions, recommendations and insights need to rely on similar attributes to finished manufactured products; · Key questions to ask yourself in determining where you need to fix your analytics supply chain.
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supply, chain, analytics, employee, optimization, organisations, productivity
    
FICO
Published By: AlienVault     Published Date: Oct 20, 2017
Maintaining Payment Card Industry Data Security Standard (PCI DSS) compliance can be both difficult and expensive. For most small to medium sized organizations, it doesn’t have to be as long as you have the right plan and tools in place. In this paper you’ll learn five steps to implement and maintain PCI DSS compliance at your organization by: • Determining your true business requirements • Inventorying locations and assets • Segmenting environments • Operationalizing controls • Automating controls and control reporting Demonstrating compliance with PCI DSS is far from a trivial exercise. This checklist will help you on your quest to achieve and maintain PCI DSS compliance.
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AlienVault
Published By: CA Technologies     Published Date: Aug 22, 2017
Privileged user accounts—whether usurped, abused or simply misused—are at the heart of most data breaches. Security teams are increasingly evaluating comprehensive privileged access management (PAM) solutions to avoid the damage that could be caused by a rogue user with elevated privileges, or a privileged user who is tired, stressed or simply makes a mistake. Pressure from executives and audit teams to reduce business exposure reinforces their effort, but comprehensive PAM solutions can incur hidden costs, depending on the implementation strategy adopted. With multiple capabilities including password vaults, session management and monitoring, and often user behavior analytics and threat intelligence, the way a PAM solution is implemented can have a major impact on the cost and the benefits. This report provides a blueprint for determining the direct, indirect and hidden costs of a PAM deployment over time.
Tags : 
    
CA Technologies
Published By: CA Technologies     Published Date: Jun 26, 2017
Privileged user accounts—whether usurped, abused or simply misused—are at the heart of most data breaches. Security teams are increasingly evaluating comprehensive privileged access management (PAM) solutions to avoid the damage that could be caused by a rogue user with elevated privileges, or a privileged user who is tired, stressed or simply makes a mistake. Pressure from executives and audit teams to reduce business exposure reinforces their effort, but comprehensive PAM solutions can incur hidden costs, depending on the implementation strategy adopted. With multiple capabilities including password vaults, session management and monitoring, and often user behavior analytics and threat intelligence, the way a PAM solution is implemented can have a major impact on the cost and the benefits. This report provides a blueprint for determining the direct, indirect and hidden costs of a PAM deployment over time.
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CA Technologies
Published By: Tracx     Published Date: Mar 08, 2017
"Can you prove social media is working? 86% of marketers identified measuring social media return on investment (ROI) as a top challenge. Social ROI can be daunting, but it’s also the key to winning resources and propelling your social media program forward. So how do you calculate the ROI of your social media? We’ve created a Guide and ROI Template to do just that. Arm yourself with not only the knowledge of what's working and what's not on social media, but the numbers to prove it. What You're Getting: *Advice on goal-driven analysis and which metrics matter *Insight on how to tie social data to marketing investments *An easy-to-follow, five-step process for determining ROI *A downloadable template to make calculations easy"
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b2b social media, b2c social media, enterprise social, media engagement, media listening, media platform, media technology, social analytics
    
Tracx
Published By: FICO     Published Date: Sep 02, 2016
The unifying concept that defines FICO and its substantial technology and solutions stack is Decision Management. This term has not yet become mainstream - but it will. All business analytics activities are performed with the single aim of improving the accuracy and efficiency of business decisions. This applies to business intelligence, data visualization, data mining, business rules management, and many other forms of analysis. Unifying these activities under a single discipline means that currently fragmented analytical efforts can be combined into a single whole, with benefits that will be discussed in this review.
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FICO
Published By: Dun & Bradstreet     Published Date: Feb 02, 2016
Take the mystery out of business credit data The modern-day explosion in data has presented new challenges for interpreting financial reports to uncover meaningful insight. We often struggle to be efficient with the resources we have and the data we use to make our decisions, whether we’re talking with a new customer or an existing one.
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hoovers, credit data, data analysis, credit report, evaluation, risk assessment
    
Dun & Bradstreet
Published By: Adobe     Published Date: Oct 29, 2015
This white paper will help you assess your organisation’s current data driven marketing capabilities and will teach you what you need to do to deliver exceptional customer experiences with positive ROI.
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data-driven marketing, online marketing, digital marketing, digital maturity, marketing, analytics, data mining, customer relationship
    
Adobe
Published By: Adobe     Published Date: Oct 29, 2015
This white paper will help you assess your organisation’s current data driven marketing capabilities and will teach you what you need to do to deliver exceptional customer experiences with positive ROI.
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data-driven marketing, online marketing, digital marketing, digital maturity, marketing, analytics, data mining, customer relationship
    
Adobe
Published By: Adobe     Published Date: Oct 29, 2015
This white paper will help you assess your organisation’s current data driven marketing capabilities and will teach you what you need to do to deliver exceptional customer experiences with positive ROI.
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data-driven marketing, online marketing, digital marketing, digital maturity, marketing, analytics, data mining, customer relationship
    
Adobe
Published By: Teradata     Published Date: Jun 22, 2015
Passed on May 9, 2014, the Digital Accountability and Transparency Act (DATA Act) legislation requires federal agencies to report all expenditures—grants, loans, and contracts—in order to provide American citizens and policy makers better visibility into federal spending. At first glance, new federal requirements— which are scheduled to go in effect May 2017—can seem like imposed obligations with unknown benefits to the implementers. However, wise agencies and early adopters recognize how to transform this new compliance obligation into an opportunity to advance their federal agency by becoming more data driven. The Federal Government maintains vast amounts of data, and the DATA Act establishes data standards and sharing protocols that will help agencies exploit the benefits of data mining and analytics.
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Teradata
Published By: IBM     Published Date: May 07, 2015
Hurwitz & Associates announced the findings of its inaugural Victory Index for predictive analytics. This assessment highlights both the diverse uses of predictive analytics and vendors who make those applications.
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predictive analytics, data sources, vendor selection, data mining
    
IBM
Published By: SpectorSoft     Published Date: Apr 03, 2015
You just got news of yet another issue that just happened in your business that now you need to deal with – it could be a sexual harassment claim, a tip on an employee stealing, or just someone goofing off on the Internet for way too long. Some issues only require the employees involved to get in a room with HR to address, while others require extensive detective work by the good folks in IT. Especially in cases of data theft, fraud, embezzlement, etc., having detail on everything the employee did leading up to the purported “bad deed” will be critical in determining whether something improper occurred or not.
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sexual harrassment, embezzlement, employee investigations, human resource technology
    
SpectorSoft
Published By: Delphix     Published Date: Mar 24, 2015
Data masking has long been a key component of enterprise data security strategies. However, legacy masking tools could not deliver secure data, undermining their impact. Explore how data as a service can deliver on the promise of masking, while increasing organizational flexibility and agility.
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Delphix
Published By: IBM     Published Date: Feb 19, 2015
Data mining uncovers hidden patterns and relationships in data, driving more informed decisions in organizations of all sizes, and in virtually every industry.
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roi, data mining, big data, business analytics, enterprise applications, data management, data center
    
IBM
Published By: Extreme Networks     Published Date: Feb 10, 2015
Dans cet eBook, nous vous présenterons des cas d’utilisation illustrant comment une solution d’analyse des applications peut être utilisée de manière efficace par le service informatique.
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extreme networks, purview, analyse des applications, sans fil, wifi, solution réseau, solution de business intelligence, business intelligence
    
Extreme Networks
Published By: Oracle     Published Date: Jan 28, 2015
Traditional brick-and-mortar multi-channel retailers have online competitors ruled by data scientists who define retail as a data mining and optimization problem. John Bible, Senior Director of Retail Data Science and Insight at Oracle Retail discusses the science of pricing, and predictions for the role of science in retail over the next five years.
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Oracle
Published By: Intralinks     Published Date: Jan 16, 2015
The increased mobility of the workforce is changing the way we work. Business users want the flexibility to share and collaborate on content that drives their business while IT needs to ensure the security of that data, no matter where it goes. An effective enterprise collaboration solution must consider people, processes and technologies to be effective, but where to begin? This comprehensive Buyer’s Guide offers guidance on how to develop your organization’s requirements with regard to: Risk management – avoiding data breaches and loss of information that can result in non-compliance Business productivity - allowing for secure collaboration while enabling teams to work anywhere on any device IT efficiency - supporting the full breadth of external business content requirements while integrating with existing applications and protocols This Buyer’s Guide offers a holistic approach for your evaluation process by examining the granular aspects of enterprise file sharing, as well as i
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collaboration solutions, risk management, business productivity, it efficiency, business users, enterprise applications
    
Intralinks
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