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risk analytics

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Published By: SAP     Published Date: Feb 03, 2017
To better understand the benefits, costs, and risks associated with implementation of SAP Business Objects Analytics solutions, Forrester interviewed four organizations with multiple years of experience using these analytics solutions from SAP across one or more of the following key analytics areas: planning, business intelligence, and predictive analytics. A composite, or representative, organization was developed to provide the conclusions of this cost and benefit analysis.
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SAP
Published By: SAP     Published Date: Feb 03, 2017
To better understand the benefits, costs, and risks associated with implementation of SAP BusinessObjects Analytics solutions, Forrester interviewed four organizations with multiple years of experience using these analytics solutions from SAP across one or more of the following key analytics areas: planning, business intelligence, and predictive analytics. A composite, or representative, organization was developed to report cost and benefit findings
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SAP
Published By: Cisco     Published Date: Jun 21, 2016
Transform your business with services that allow you to innovate faster, simplify operations, and reduce risk. Building on an open, software-driven approach that uses virtualization, automation, analytics, and cloud, our networkwide architecture prepares you to respond to new opportunities at digital speed.
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Cisco
Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
Stories and statistics behind successful analytics projects The adoption of analytics across the enterprise is accelerating, and with good reason. Analytics can offer a competitive advantage by helping to identify growth opportunities, circumnavigate risk and improve customer relationships. These insights are becoming crucial parts of the business strategy for executives representing a wide array of industries. Check out our latest eBook to see how some of the world’s leading companies are using analytics to meet their needs. You’ll receive diverse examples of how organizations applied the latest statistical methodologies, such as: scorecard build, regression, decision trees, machine learning and material change to uncover meaning in data. The examples represent global brands across critical industries – Financial Services, Insurance, High-Tech, Aerospace, Manufacturing and others – where analytics helped answer their most challenging questions.
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Dun & Bradstreet
Published By: CA Technologies     Published Date: Apr 06, 2017
CA Technologies (NASDAQ: CA) creates software that fuels transformation for companies and enables them to seize the opportunities of the application economy. Software is at the heart of every business, in every industry. From planning to development to management and security, CA is working with companies worldwide to change the way we live, transact and communicate—across mobile, private and public cloud, distributed and mainframe environments.
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enterprise security, it security, payment card fraud, risk management, cyber attacks, risk, data protection, threat analytics, integrated mitigation
    
CA Technologies
Published By: Akamai     Published Date: Jun 04, 2010
Predictive analytics have been used by different industries for years to solve difficult problems that range from detecting credit card fraud to determining patient risk levels for medical conditions. It combines data mining and machine-learning technologies to create statistical models based on historical data. It then uses these models to predict future events. Extracting the power from the data requires powerful algorithms behind predictive analytics.
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akamai, predictive, online advertising, tracking pixels, online shopping, in-market, site visitors, performance marketing, customer relationship management, enterprise software, sales & marketing software
    
Akamai
Published By: CA Technologies     Published Date: Jul 13, 2015
Issuers need to balance eCommerce payment transaction security and a smooth customer checkout experience. The crux of the matter is how to provide a seamless checkout experience for legitimate customers so they won’t abandon their transaction or use a different form of payment while at the same time stopping illegitimate attempts to transact. The use of behavior-based authentication to determine which transactions should be impacted by requiring the customer to go through additional means of authentication is critical for reducing customer friction while creating better assurance that the transaction is legitimate. Rules are an important component when providing this risk- and behavior-based authentication. When models are added, and used to guide the application of risk-based rules, the impact upon illegitimate authentication attempts can be greatly increased while the impact on legitimate customers is decreased, providing a better experience for the cardholder and loss reduction for
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ecommerce, 3dsecure, risk analytics, behavioral
    
CA Technologies
Published By: Splunk     Published Date: Aug 21, 2018
Due to recent cyberattacks, security operations centers (SOCs) have had to focus on a holistic and cohesive security strategy by consolidating the right people, processes and technology to mitigate and remediate attacks. This white paper, “The Five Essential Capabilities of an Analytics-Driven SOC”, dives into the necessity of SOCs to be analytics driven and how it helps IT and business leaders assess their own risk levels. Download this white paper to to learn about: *How advanced analytics and machine learning are now critical hallmarks of the modern security platform *How proactively hunting and investigating threats can shore up defenses *Why adaptive security architectures, like Splunk’s, are needed to prevent, detect and respond to attacks in today’s security landscape
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Splunk
Published By: CA Technologies     Published Date: Feb 08, 2018
CNP fraud is showing no signs of deceleration and is, in fact, expanding rapidly. New trends and new threats call for a revolutionary approach to effectively stop fraud. Learn how to deploy solutions that can quickly distinguish between genuine and fraudulent transactions and take appropriate action instantly. Explore the CA Risk Analytics Network.
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CA Technologies
Published By: Dun & Bradstreet     Published Date: Oct 21, 2016
It is important to understand the different business situations where traditional predictive analytics can be best applied and where anticipatory analytics may be a more appropriate approach to solve the business problem. One is not necessarily superior to the other – it’s about which methodology is best utilized in solving the specific business problem. Conventional response modeling, revenue potential modeling, wallet share analysis, traditional risk scoring and other analytic practices will always be important tools for businesses far-and-wide, but as more companies focus on analytics to inform growth, they’ll have employ the right team and identify the right partners to work with in order to successfully leverage anticipatory analytics to gain a competitive advantage. Looking forward, we anticipate anticipatory analytics playing an important role in your future. Download this white paper to learn more.
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Dun & Bradstreet
Published By: IBM     Published Date: Jan 27, 2016
This paper describes how predictive analytics can play a critical role in your threat and risk strategy.
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ibm, threat, risk, management, security, analytics, fraud, enterprise applications
    
IBM
Published By: Spredfast     Published Date: Aug 24, 2018
It only takes one accidental Tweet to undo years of brand reputation. It's important to understand the opportunities and risks your brand faces on social, and what you can do about them. Download this whitepaper to learn more about the risks and gain advice and tips on how to protect your brand.
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social media risk management, risks of social media, social media compliance, social media user management, social media security, social media management tools, social media monitoring, social media governance, social media manager, social media marketing companies, social media analytics, social media marketing, social media software, social media management software, social media marketing tools, social media monitoring tools, social media management company
    
Spredfast
Published By: IBM     Published Date: Apr 11, 2016
This paper explores why your business needs the latest operational decision management (ODM) solutions to help turn data insights into action. Discover how IBM Operational Decision Manager software and the IBM Business Process Manager platform work together to: *Recognize patterns that suggest opportunity or risk *Create and shape business events by automating decisions *Bring more dimension and precision to decision making by applying analytics to big data *Help you implement the right business processes by understanding data in context.
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ibm, smarter process, operational decision management, odm, knowledge management, enterprise applications
    
IBM
Published By: IBM     Published Date: Jul 08, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, idc, big data, data, analytics, information governance, knowledge management, data management, data center
    
IBM
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
Published By: KPMG     Published Date: Jul 10, 2018
As organisations increasingly leverage data, sophisticated analytics, robotics and AI in their operations, we ask who should be responsible for trusted analytics and what good governance looks like. Read this report to discover: • the four key anchors underpinning trust in analytics – and how to measure them • new risks emerging as the use of machine learning and AI increases • how to build governance of AI into core business processes • eight areas of essential controls for trusted data and analytics.
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KPMG
Published By: KPMG     Published Date: Jul 11, 2018
As organisations increasingly leverage data, sophisticated analytics, robotics and AI in their operations, we ask who should be responsible for trusted analytics and what good governance look like? Read this report to discover: • the four key anchors underpinning trust in analytics – and how to measure them • new risks emerging as the use of machine learning and AI increases • how to build governance of AI into core business processes • eight areas of essential controls for trusted data and analytics. Download the report now:
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KPMG
Published By: EMC Corporation     Published Date: May 27, 2014
ESG Whitepaper: New security risks and old security challenges often overwhelm legacy security controls and analytical tools. This ESG white paper discusses why today's approach to security management—that depends on up-to-the-minute situational awareness and real-time security intelligence—means organizations are entering the era of big data security analytics.
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emc, security operations, security analytics, intelligence-driven security, threat detection, security monitoring, critical incident response, security, data center
    
EMC Corporation
Published By: SailPoint     Published Date: Feb 08, 2011
This guide is designed to help ensure a successful identity governance strategy can move your organization toward sustainable compliance, reduced risk, improved service levels and lower operational costs.
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sailpoint, identity governance, compliance, risk management, access management, password management, reporting and analytics, identity management, business analytics, corporate governance
    
SailPoint
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: Visier     Published Date: Nov 04, 2014
With workforce analytics, HR professionals can play a more pivotal role in their organizations to help direct senior management and hiring managers in connecting the dots between their company’s overall performance and their investment in their workforce. Workforce analytics empower HR professionals to shift from being an operational function to becoming more of a strategic role within their organization. Workforce analytics uncovers deep insights into workforce data by drilling down into the data and highlighting both patterns of success to be repeated and patterns of failure that could lead to risk and impact. Go from intuition- to fact-based workforce decision-making with this comprehensive guide to workforce analytics. This eBook includes advice on how to get started, tips to ensure successful implementation, and key recommendations for finding the right solution
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visier, workforce analytics, hr metrics, planning, human resources
    
Visier
Published By: ServiceNow     Published Date: Apr 12, 2017
Read The Total Economic Impact™ of ServiceNow, an April 2017 commissioned study conducted by Forrester Consulting on behalf of ServiceNow, to understand the benefits, costs, and risks associated with the following ServiceNow solutions: IT Service Management, IT Operations Management, and Performance Analytics. The study, commissioned by ServiceNow, covers key findings in these three categories: Modernizing IT Service Management Eliminating Service Outages Optimizing Performance with Real?time Analytics Forrester interviewed seven current ServiceNow customers with years of experience using the solutions identified above. The purpose of the study is to provide potential customers with a framework to evaluate the real world customer experience and economic impact of the Now platform on their organizations.
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operations management, performance analytics, it management, it automation, it ticketing, help desk, service desk, itsm, it service management, management, service, automation, productivity, infrastructure
    
ServiceNow
Published By: IBM     Published Date: Apr 26, 2016
New channels and cashless payment ecosystems have created greater risk for financial institutions; the increase in fraudulent activities has compounded the need for more rapid detection and counter measures. Please view this webcast and learn: - The key challenges financial institutions face in rapidly detecting, responding and countering new fraud schemes - The value a cognitive computing approach offers an institution; enabling them to make swifter, more accurate decisions while providing more control and transparency
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ibm, ibm banking industries, risk management, predictive analytics, fraud, cognitive computing, finance
    
IBM
Published By: Alteryx, Inc.     Published Date: Apr 21, 2017
As a financial services provider, you have probably invested hundreds of thousands, if not millions of dollars, in building an analytic infrastructure. But, do your line-of-business analysts and managers have access to the data and insights they need, when they need them? Three ways Alteryx can help you improve customer experience, manage risk and increase operational efficiency Case studies on how your peer financial services companies are using self-service data analytics for a competitive edge
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Alteryx, Inc.
Published By: Group M_IBM Q1'18     Published Date: Dec 21, 2017
Consider the volume of business content that your organization generates or receives every day: applications, forms, reports, office documents, audio, video, and even social media about your company. If it is poorly managed, not digitized, or disconnected from critical business processes, it creates chaos. This chaos impacts your ability to deliver exceptional customer service; it slows down important processes, increases security risk, and negatively impacts revenue. Conversely, controlling content chaos can significantly improve your analytics strategy by gaining insight and business value from dark or unstructured data sources. In this eBook, learn how cognitive and cloud-based Enterprise Content Management, or ECM, can help you protect your content while gaining a competitive advantage from it as you grow.
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business content, volume, cloud-based, enterprise content management, ecm
    
Group M_IBM Q1'18
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