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New data management and analytics skills likely will be needed, especially if big data platforms and tools like SAS advanced analytics tools are involved.</li><li>Develop processes to ensure that business units are ready to act on analytical findings so the work of data scientists and other analysts doesn't go to waste.</li><li>Monitor and assess advanced and predictive analytics software on a regular basis to make sure the data being analyzed is still relevant and the analytical models being run against it are still valid.</li></ul>\r\n<h1 class=\"align-center\">Advanced analytics tools</h1>\r\nThere are a variety of advanced analytics tools to choose from that offer different advantages based on the use case. They generally break down into two categories: open source and proprietary.\r\nOpen source tools have become a go-to option for many data scientists doing machine learning and prescriptive analytics. 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This gives organizations the ability to perform advanced statistical models such as ‘what-if’ calculations, as well as future-proof various aspects of their operations.\r\nThe term is an umbrella for several sub-fields of analytics that work together in their predictive capabilities.\r\nThe major areas that make up advanced analytics are predictive data analytics, big data, and data mining. The process of advanced analytics includes all three areas at various times.\r\n<span style=\"font-weight: bold;\">Data mining</span> is a key aspect of advanced analytics, providing the raw data that will be used by both big data and predictive analytics. <span style=\"font-weight: bold;\">Big data analytics</span> are useful in finding existing insights and creating connections between data points and sets, as well as cleaning data.\r\nFinally, <span style=\"font-weight: bold;\">predictive analytics</span> can use these clean sets and existing insights to extrapolate and make predictions and projections about future activity, trends, and consumer behaviors.\r\nAdvanced analytics also include newer technologies such as machine learning and artificial intelligence, semantic analysis, visualizations, and even neural networks. Taken together, they help advanced analytics software create an accurate enough canvas to make reliable predictions and generate actionable BI insights on a deeper level.","materialsDescription":"<h1 class=\"align-center\">A list of tips on how to manage the process of building an advanced analytics program</h1>\r\n<ul><li>Start with a proof-of-concept project to demonstrate the potential business value of analytics applications.</li><li>Take training seriously. New data management and analytics skills likely will be needed, especially if big data platforms and tools like SAS advanced analytics tools are involved.</li><li>Develop processes to ensure that business units are ready to act on analytical findings so the work of data scientists and other analysts doesn't go to waste.</li><li>Monitor and assess advanced and predictive analytics software on a regular basis to make sure the data being analyzed is still relevant and the analytical models being run against it are still valid.</li></ul>\r\n<h1 class=\"align-center\">Advanced analytics tools</h1>\r\nThere are a variety of advanced analytics tools to choose from that offer different advantages based on the use case. They generally break down into two categories: open source and proprietary.\r\nOpen source tools have become a go-to option for many data scientists doing machine learning and prescriptive analytics. They include programming languages, as well as computing environments, including Hadoop and Spark. Users typically say they like open source advanced analytics tools because they are generally inexpensive to operate, offer strong functionality and are backed by a user community that continually innovates the tools.\r\nOn the proprietary side, vendors including Microsoft, IBM and the SAS Institute all offer advanced analytics tools. Most require a deep technical background and understanding of mathematical techniques.\r\nIn recent years, however, a crop of self-service analytics tools has matured to make functionality more accessible to business users. Tableau, in particular, has become a common tool. While its functionality is more limited than deeper technical tools, it does enable users to conduct cluster analyses and other advanced analyses.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Advanced_Analytics_Software.png"}],"additionalInfo":{"budgetNotExceeded":"","functionallyTaskAssignment":"","projectWasPut":"","price":0,"source":{"url":"http://www.nvg.ru/projects/allocation-system-vtb-bank/","title":"Supplier's web site"}},"comments":[],"referencesCount":0},{"id":78,"title":"SAS Fraud Framework for Insurance","description":"Description is not ready yet","alias":"sas-fraud-framework-for-insurance","roi":0,"seo":{"title":"SAS Fraud Framework for Insurance","keywords":"","description":"Description is not ready yet","og:title":"SAS Fraud Framework for Insurance","og:description":"Description is not ready yet"},"deal_info":"","user":{},"supplier":{},"vendors":[{"id":2904,"title":"SAS","logoURL":"https://old.roi4cio.com/uploads/roi/company/SAS.jpg","alias":"sas","address":"","roles":[],"description":"SAS helps you make sense of the message. As the leader in business analytics software and services, SAS transforms your data into insights that give you a fresh perspective on your business. You can identify what’s working. Fix what isn’t. And discover new opportunities.\r\n\r\nWe can help you turn large amounts of data into knowledge you can use, and we do it better than anyone. It’s no wonder an overwhelming majority of customers continue to use SAS year after year. We believe it’s because we hire great people to create great software and services.\r\n\r\nSAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 80,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®.\r\n\r\nSource: http://www.sas.com/en_us/company-information.html","companyTypes":[],"products":{},"vendoredProductsCount":2,"suppliedProductsCount":2,"supplierImplementations":[],"vendorImplementations":[],"userImplementations":[],"userImplementationsCount":0,"supplierImplementationsCount":0,"vendorImplementationsCount":2,"vendorPartnersCount":0,"supplierPartnersCount":0,"b4r":0,"categories":{},"companyUrl":"http://www.sas.com/","countryCodes":[],"certifications":[],"isSeller":false,"isSupplier":false,"isVendor":false,"presenterCodeLng":"","seo":{"title":"SAS","keywords":"business, software, analytics, services, customers, data, than, great","description":"SAS helps you make sense of the message. As the leader in business analytics software and services, SAS transforms your data into insights that give you a fresh perspective on your business. You can identify what’s working. Fix what isn’t. And discover new opp","og:title":"SAS","og:description":"SAS helps you make sense of the message. As the leader in business analytics software and services, SAS transforms your data into insights that give you a fresh perspective on your business. You can identify what’s working. Fix what isn’t. And discover new opp","og:image":"https://old.roi4cio.com/uploads/roi/company/SAS.jpg"},"eventUrl":""}],"products":[{"id":441,"logo":false,"scheme":false,"title":"SAS Fraud Framework for Insurance","vendorVerified":0,"rating":"1.40","implementationsCount":1,"suppliersCount":0,"alias":"sas-fraud-framework-for-insurance","companyTypes":[],"description":"<div style=\"text-align: justify; \"><span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; font-weight: bold;\">Benefits</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \"><br /></span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \">Detect more fraudulent activity.</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \">SAS gives you a broader view by processing all data through advanced analytics models and combining it with rules engines. You’ll be able to detect previously unknown schemes with customized anomaly detection methods, and spot linked entities and crime rings to stem larger losses.</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \"><br /></span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \">Prevent fraud losses before settlement.</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \">Real-time daily batch scoring catches fraud immediately. Find loss padding in similar claims. Identify repeat offenders and uncover insider or collusive fraud by integrating staff data and audit records, and applying risk- and value-based scoring models to prioritize output for investigators.</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \"><br /></span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \">Lower loss-adjustment expenses.</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \">You can greatly reduce false positives using our sophisticated fraud scoring engine. Improve investigator efficiency and ROI with advanced case management tools and by prioritizing higher value networks and conducting more efficient and accurate investigations. Capture all claims settlement amounts within the system to reuse with similar claims in the future.</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \"><br /></span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \">Get a consolidated view of fraud risk.</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \">Identify cross-brand/product fraud by seeing customer claims and policies for all lines of business. Continuously improve models and adapt the system as needed to address changes in fraud trends. Understand new claim threats and prevent substantial losses early using social network diagrams and sophisticated data mining techniques.</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \"><br /></span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \">Gain a greater competitive advantage.</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \">Generate fewer false positives to gain greater satisfaction of legitimate customers. More diligent, effective fraud detection methods can actually discourage fraudsters from targeting your organization. And satisfy regulatory requirements by better managing fraud.</span>","shortDescription":"SAS Fraud Framework for Insurance - Detect, prevent and manage claims fraud across all lines of business","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":16,"sellingCount":6,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"SAS Fraud Framework for Insurance","keywords":"fraud, with, claims, scoring, data, models, losses, using","description":"<div style=\"text-align: justify; \"><span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; font-weight: bold;\">Benefits</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \"><br /></span>\r\n<span style=\"font-family:","og:title":"SAS Fraud Framework for Insurance","og:description":"<div style=\"text-align: justify; \"><span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; font-weight: bold;\">Benefits</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \"><br /></span>\r\n<span style=\"font-family:"},"eventUrl":"","translationId":442,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":227,"title":"Advanced Analytics Software","alias":"advanced-analytics-software","description":" <span style=\"font-weight: bold;\">Advanced analytics</span> is a part of data science that uses high-level methods and tools to focus on projecting future trends, events, and behaviors. This gives organizations the ability to perform advanced statistical models such as ‘what-if’ calculations, as well as future-proof various aspects of their operations.\r\nThe term is an umbrella for several sub-fields of analytics that work together in their predictive capabilities.\r\nThe major areas that make up advanced analytics are predictive data analytics, big data, and data mining. The process of advanced analytics includes all three areas at various times.\r\n<span style=\"font-weight: bold;\">Data mining</span> is a key aspect of advanced analytics, providing the raw data that will be used by both big data and predictive analytics. <span style=\"font-weight: bold;\">Big data analytics</span> are useful in finding existing insights and creating connections between data points and sets, as well as cleaning data.\r\nFinally, <span style=\"font-weight: bold;\">predictive analytics</span> can use these clean sets and existing insights to extrapolate and make predictions and projections about future activity, trends, and consumer behaviors.\r\nAdvanced analytics also include newer technologies such as machine learning and artificial intelligence, semantic analysis, visualizations, and even neural networks. Taken together, they help advanced analytics software create an accurate enough canvas to make reliable predictions and generate actionable BI insights on a deeper level.","materialsDescription":"<h1 class=\"align-center\">A list of tips on how to manage the process of building an advanced analytics program</h1>\r\n<ul><li>Start with a proof-of-concept project to demonstrate the potential business value of analytics applications.</li><li>Take training seriously. New data management and analytics skills likely will be needed, especially if big data platforms and tools like SAS advanced analytics tools are involved.</li><li>Develop processes to ensure that business units are ready to act on analytical findings so the work of data scientists and other analysts doesn't go to waste.</li><li>Monitor and assess advanced and predictive analytics software on a regular basis to make sure the data being analyzed is still relevant and the analytical models being run against it are still valid.</li></ul>\r\n<h1 class=\"align-center\">Advanced analytics tools</h1>\r\nThere are a variety of advanced analytics tools to choose from that offer different advantages based on the use case. They generally break down into two categories: open source and proprietary.\r\nOpen source tools have become a go-to option for many data scientists doing machine learning and prescriptive analytics. They include programming languages, as well as computing environments, including Hadoop and Spark. Users typically say they like open source advanced analytics tools because they are generally inexpensive to operate, offer strong functionality and are backed by a user community that continually innovates the tools.\r\nOn the proprietary side, vendors including Microsoft, IBM and the SAS Institute all offer advanced analytics tools. Most require a deep technical background and understanding of mathematical techniques.\r\nIn recent years, however, a crop of self-service analytics tools has matured to make functionality more accessible to business users. Tableau, in particular, has become a common tool. While its functionality is more limited than deeper technical tools, it does enable users to conduct cluster analyses and other advanced analyses.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Advanced_Analytics_Software.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]}],"countries":[{"id":180,"title":"Russia","name":"RUS"}],"startDate":"0000-00-00","endDate":"0000-00-00","dealDate":"0000-00-00","price":0,"status":"finished","statusLabel":"Finished","isImplementation":true,"isAgreement":false,"confirmed":1,"implementationDetails":{"businessObjectives":{"id":14,"title":"Business objectives","translationKey":"businessObjectives","options":[{"id":4,"title":"Reduce Costs"},{"id":5,"title":"Enhance Staff Productivity"},{"id":6,"title":"Ensure Security and Business Continuity"},{"id":7,"title":"Improve Customer Service"}]},"businessProcesses":{"id":11,"title":"Business process","translationKey":"businessProcesses","options":[{"id":391,"title":"Customer fraud"}]}},"categories":[{"id":227,"title":"Advanced Analytics Software","alias":"advanced-analytics-software","description":" <span style=\"font-weight: bold;\">Advanced analytics</span> is a part of data science that uses high-level methods and tools to focus on projecting future trends, events, and behaviors. This gives organizations the ability to perform advanced statistical models such as ‘what-if’ calculations, as well as future-proof various aspects of their operations.\r\nThe term is an umbrella for several sub-fields of analytics that work together in their predictive capabilities.\r\nThe major areas that make up advanced analytics are predictive data analytics, big data, and data mining. The process of advanced analytics includes all three areas at various times.\r\n<span style=\"font-weight: bold;\">Data mining</span> is a key aspect of advanced analytics, providing the raw data that will be used by both big data and predictive analytics. <span style=\"font-weight: bold;\">Big data analytics</span> are useful in finding existing insights and creating connections between data points and sets, as well as cleaning data.\r\nFinally, <span style=\"font-weight: bold;\">predictive analytics</span> can use these clean sets and existing insights to extrapolate and make predictions and projections about future activity, trends, and consumer behaviors.\r\nAdvanced analytics also include newer technologies such as machine learning and artificial intelligence, semantic analysis, visualizations, and even neural networks. Taken together, they help advanced analytics software create an accurate enough canvas to make reliable predictions and generate actionable BI insights on a deeper level.","materialsDescription":"<h1 class=\"align-center\">A list of tips on how to manage the process of building an advanced analytics program</h1>\r\n<ul><li>Start with a proof-of-concept project to demonstrate the potential business value of analytics applications.</li><li>Take training seriously. New data management and analytics skills likely will be needed, especially if big data platforms and tools like SAS advanced analytics tools are involved.</li><li>Develop processes to ensure that business units are ready to act on analytical findings so the work of data scientists and other analysts doesn't go to waste.</li><li>Monitor and assess advanced and predictive analytics software on a regular basis to make sure the data being analyzed is still relevant and the analytical models being run against it are still valid.</li></ul>\r\n<h1 class=\"align-center\">Advanced analytics tools</h1>\r\nThere are a variety of advanced analytics tools to choose from that offer different advantages based on the use case. They generally break down into two categories: open source and proprietary.\r\nOpen source tools have become a go-to option for many data scientists doing machine learning and prescriptive analytics. They include programming languages, as well as computing environments, including Hadoop and Spark. Users typically say they like open source advanced analytics tools because they are generally inexpensive to operate, offer strong functionality and are backed by a user community that continually innovates the tools.\r\nOn the proprietary side, vendors including Microsoft, IBM and the SAS Institute all offer advanced analytics tools. Most require a deep technical background and understanding of mathematical techniques.\r\nIn recent years, however, a crop of self-service analytics tools has matured to make functionality more accessible to business users. Tableau, in particular, has become a common tool. While its functionality is more limited than deeper technical tools, it does enable users to conduct cluster analyses and other advanced analyses.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Advanced_Analytics_Software.png"}],"additionalInfo":{"budgetNotExceeded":"","functionallyTaskAssignment":"","projectWasPut":"","price":0,"source":{"url":"http://www.i-teco.ru/press/news/7082/","title":"Supplier's web site"}},"comments":[],"referencesCount":0}],"userImplementations":[],"userImplementationsCount":0,"supplierImplementationsCount":0,"vendorImplementationsCount":2,"vendorPartnersCount":0,"supplierPartnersCount":0,"b4r":0,"categories":{"465":{"id":465,"title":"UEBA - User and Entity Behavior Analytics","description":"Developments in UBA technology led Gartner to evolve the category to user and entity behavior analytics (UEBA). In September 2015, Gartner published the Market Guide for User and Entity Analytics by Vice President and Distinguished Analyst, Avivah Litan, that provided a thorough definition and explanation. UEBA was referred to in earlier Gartner reports but not in much depth. Expanding the definition from UBA includes devices, applications, servers, data, or anything with an IP address. It moves beyond the fraud-oriented UBA focus to a broader one encompassing &quot;malicious and abusive behavior that otherwise went unnoticed by existing security monitoring systems, such as SIEM and DLP.&quot; The addition of &quot;entity&quot; reflects that devices may play a role in a network attack and may also be valuable in uncovering attack activity. &quot;When end users have been compromised, malware can lay dormant and go undetected for months. Rather than trying to find where the outsider entered, UEBAs allow for quicker detection by using algorithms to detect insider threats.&quot;\r\nParticularly in the computer security market, there are many vendors for UEBA applications. They can be &quot;differentiated by whether they are designed to monitor on-premises or cloud-based software as a service (SaaS) applications; the methods in which they obtain the source data; the type of analytics they use (i.e., packaged analytics, user-driven or vendor-written), and the service delivery method (i.e., on-premises or a cloud-based).&quot; According to the 2015 market guide released by Gartner, &quot;the UEBA market grew substantially in 2015; UEBA vendors grew their customer base, market consolidation began, and Gartner client interest in UEBA and security analytics increased.&quot; The report further projected, &quot;Over the next three years, leading UEBA platforms will become preferred systems for security operations and investigations at some of the organizations they serve. It will be—and in some cases already is—much easier to discover some security events and analyze individual offenders in UEBA than it is in many legacy security monitoring systems.&quot;","materialsDescription":"<span style=\"font-weight: bold;\">What is UEBA?</span>\r\nHackers can break into firewalls, send you e-mails with malicious and infected attachments, or even bribe an employee to gain access into your firewalls. Old tools and systems are quickly becoming obsolete, and there are several ways to get past them.\r\nUser and entity behavior analytics (UEBA) give you more comprehensive way of making sure that your organization has top-notch IT security, while also helping you detect users and entities that might compromise your entire system.\r\nUEBA is a type of cybersecurity process that takes note of the normal conduct of users. In turn, they detect any anomalous behavior or instances when there are deviations from these “normal” patterns. For example, if a particular user regularly downloads 10 MB of files every day but suddenly downloads gigabytes of files, the system would be able to detect this anomaly and alert them immediately.\r\nUEBA uses machine learning, algorithms, and statistical analyses to know when there is a deviation from established patterns, showing which of these anomalies could result in, potentially, a real threat. UEBA can also aggregate the data you have in your reports and logs, as well as analyze the file, flow, and packet information.\r\nIn UEBA, you do not track security events or monitor devices; instead, you track all the users and entities in your system. As such, UEBA focuses on insider threats, such as employees who have gone rogue, employees who have already been compromised, and people who already have access to your system and then carry out targeted attacks and fraud attempts, as well as servers, applications, and devices that are working within your system.\r\n<span style=\"font-weight: bold;\">What are the benefits of UEBA?</span>\r\nIt is the unfortunate truth that today's cybersecurity tools are fast becoming obsolete, and more skilled hackers and cyber attackers are now able to bypass the perimeter defenses that are used by most companies. In the old days, you were secure if you had web gateways, firewalls, and intrusion prevention tools in place. This is no longer the case in today’s complex threat landscape, and it’s especially true for bigger corporations that are proven to have very porous IT perimeters that are also very difficult to manage and oversee.\r\nThe bottom line? Preventive measures are no longer enough. Your firewalls are not going to be 100% foolproof, and hackers and attackers will get into your system at one point or another. This is why detection is equally important: when hackers do successfully get into your system, you should be able to detect their presence quickly in order to minimize the damage.\r\n<span style=\"font-weight: bold;\">How Does UEBA Work?</span>\r\nThe premise of UEBA is actually very simple. You can easily steal an employee’s user name and password, but it is much harder to mimic the person’s normal behavior once inside the network.\r\nFor example, let’s say you steal Jane Doe’s password and user name. You would still not be able to act precisely like Jane Doe once in the system unless given extensive research and preparation. Therefore, when Jane Doe’s user name is logged in to the system, and her behavior is different than that of typical Jane Doe, that is when UEBA alerts start to sound.\r\nAnother relatable analogy would be if your credit card was stolen. A thief can pickpocket your wallet and go to a high-end shop and start spending thousands of dollars using your credit card. If your spending pattern on that card is different from the thief’s, the company’s fraud detection department will often recognize the abnormal spending and block suspicious purchases, issuing an alert to you or asking you to verify the authenticity of a transaction.\r\nAs such, UEBA is a very important component of IT security, allowing you to:\r\n1. Detect insider threats. It is not too far-fetched to imagine that an employee, or perhaps a group of employees, could go rogue, stealing data and information by using their own access. UEBA can help you detect data breaches, sabotage, privilege abuse and policy violations made by your own staff.\r\n2. Detect compromised accounts. Sometimes, user accounts are compromised. It could be that the user unwittingly installed malware on his or her machine, or sometimes a legitimate account is spoofed. UEBA can help you weed out spoofed and compromised users before they can do real harm.\r\n3. Detect brute-force attacks. Hackers sometimes target your cloud-based entities as well as third-party authentication systems. With UEBA, you are able to detect brute-force attempts, allowing you to block access to these entities.\r\n4. Detect changes in permissions and the creation of super users. Some attacks involve the use of super users. UEBA allows you to detect when super users are created, or if there are accounts that were granted unnecessary permissions.\r\n5. Detect breach of protected data. If you have protected data, it is not enough to just keep it secure. You should know when a user accesses this data when he or she does not have any legitimate business reason to access it.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_User_and_Entity_Behavior_Analytics.png","alias":"ueba-user-and-entity-behavior-analytics"}},"branches":"Information Technology","companySizes":"More than 2000 Employees","companyUrl":"http://www.sas.com/","countryCodes":[],"certifications":[],"isSeller":true,"isSupplier":false,"isVendor":true,"presenterCodeLng":"","seo":{"title":"SAS","keywords":"business, software, analytics, services, customers, data, than, great","description":"SAS helps you make sense of the message. As the leader in business analytics software and services, SAS transforms your data into insights that give you a fresh perspective on your business. You can identify what’s working. Fix what isn’t. And discover new opp","og:title":"SAS","og:description":"SAS helps you make sense of the message. As the leader in business analytics software and services, SAS transforms your data into insights that give you a fresh perspective on your business. You can identify what’s working. Fix what isn’t. And discover new opp","og:image":"https://old.roi4cio.com/uploads/roi/company/SAS.jpg"},"eventUrl":"","vendorPartners":[],"supplierPartners":[],"vendoredProducts":[{"id":441,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/SAS_Fraud_Framework_for_Insurance.jpg","logo":true,"scheme":false,"title":"SAS Fraud Framework for Insurance","vendorVerified":0,"rating":"1.40","implementationsCount":1,"suppliersCount":0,"supplierPartnersCount":0,"alias":"sas-fraud-framework-for-insurance","companyTitle":"SAS","companyTypes":["vendor"],"companyId":2904,"companyAlias":"sas","description":"<div style=\"text-align: justify; \"><span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; font-weight: bold;\">Benefits</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \"><br /></span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \">Detect more fraudulent activity.</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \">SAS gives you a broader view by processing all data through advanced analytics models and combining it with rules engines. You’ll be able to detect previously unknown schemes with customized anomaly detection methods, and spot linked entities and crime rings to stem larger losses.</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \"><br /></span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \">Prevent fraud losses before settlement.</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \">Real-time daily batch scoring catches fraud immediately. Find loss padding in similar claims. Identify repeat offenders and uncover insider or collusive fraud by integrating staff data and audit records, and applying risk- and value-based scoring models to prioritize output for investigators.</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \"><br /></span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \">Lower loss-adjustment expenses.</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \">You can greatly reduce false positives using our sophisticated fraud scoring engine. Improve investigator efficiency and ROI with advanced case management tools and by prioritizing higher value networks and conducting more efficient and accurate investigations. Capture all claims settlement amounts within the system to reuse with similar claims in the future.</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \"><br /></span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \">Get a consolidated view of fraud risk.</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \">Identify cross-brand/product fraud by seeing customer claims and policies for all lines of business. Continuously improve models and adapt the system as needed to address changes in fraud trends. Understand new claim threats and prevent substantial losses early using social network diagrams and sophisticated data mining techniques.</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \"><br /></span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \">Gain a greater competitive advantage.</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \">Generate fewer false positives to gain greater satisfaction of legitimate customers. More diligent, effective fraud detection methods can actually discourage fraudsters from targeting your organization. And satisfy regulatory requirements by better managing fraud.</span>","shortDescription":"SAS Fraud Framework for Insurance - Detect, prevent and manage claims fraud across all lines of business","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":16,"sellingCount":6,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"SAS Fraud Framework for Insurance","keywords":"fraud, with, claims, scoring, data, models, losses, using","description":"<div style=\"text-align: justify; \"><span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; font-weight: bold;\">Benefits</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \"><br /></span>\r\n<span style=\"font-family:","og:title":"SAS Fraud Framework for Insurance","og:description":"<div style=\"text-align: justify; \"><span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; font-weight: bold;\">Benefits</span>\r\n<span style=\"font-family: Arial, Helvetica, sans-serif; font-size: 15px; \"><br /></span>\r\n<span style=\"font-family:","og:image":"https://old.roi4cio.com/fileadmin/user_upload/SAS_Fraud_Framework_for_Insurance.jpg"},"eventUrl":"","translationId":442,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":227,"title":"Advanced Analytics Software","alias":"advanced-analytics-software","description":" <span style=\"font-weight: bold;\">Advanced analytics</span> is a part of data science that uses high-level methods and tools to focus on projecting future trends, events, and behaviors. 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New data management and analytics skills likely will be needed, especially if big data platforms and tools like SAS advanced analytics tools are involved.</li><li>Develop processes to ensure that business units are ready to act on analytical findings so the work of data scientists and other analysts doesn't go to waste.</li><li>Monitor and assess advanced and predictive analytics software on a regular basis to make sure the data being analyzed is still relevant and the analytical models being run against it are still valid.</li></ul>\r\n<h1 class=\"align-center\">Advanced analytics tools</h1>\r\nThere are a variety of advanced analytics tools to choose from that offer different advantages based on the use case. They generally break down into two categories: open source and proprietary.\r\nOpen source tools have become a go-to option for many data scientists doing machine learning and prescriptive analytics. They include programming languages, as well as computing environments, including Hadoop and Spark. Users typically say they like open source advanced analytics tools because they are generally inexpensive to operate, offer strong functionality and are backed by a user community that continually innovates the tools.\r\nOn the proprietary side, vendors including Microsoft, IBM and the SAS Institute all offer advanced analytics tools. Most require a deep technical background and understanding of mathematical techniques.\r\nIn recent years, however, a crop of self-service analytics tools has matured to make functionality more accessible to business users. Tableau, in particular, has become a common tool. 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With this solution, you can make informed decisions to streamline processes, deliver revenue growth and reduce costs across the organization.\r\n\r\n<span style=\"font-weight: bold;\">Benefits</span>\r\nEvolve the way you do business.\r\nGain insights into cost accumulation in a way that management, marketing and operations personnel – not just finance experts – can understand and act on. Tie financial results and KPIs to strategy by measuring profitability at the division, department, channel and individual product and customer levels.\r\nManage shared service cost allocations.\r\nGet a more accurate reflection of true costs and profitability by managing how shared service costs and IT chargebacks get allocated to products, customers, channels and services. Create more accurate budgets and workforce plans.\r\nImprove processes by identifying activities that don’t add value.\r\nIdentify cost bottlenecks, rework and non-value-added activity. Use what-if analysis to model and simulate how changes in driver volumes affect costs, profit and resource requirements.\r\nUnderstand the effects of cost and process variations on performance.\r\nHigh-performance in-memory modeling quickly identifies issues and provides insight into weak links in the supply chain, underutilized capacity and opportunities for cross sell and up sell. Complex models that used to take hours or overnight to update can now be run in a fraction of the time.\r\n\r\n<span style=\"font-weight: bold;\">Features</span>\r\nCost and profitability measurement\r\nModeling\r\nAnalysis and reporting\r\nData integration","shortDescription":"SAS Cost and Profitability Management (the new name for SAS Activity-Based Management) is an analytic application that determines cost and profitability by modeling business processes as cost flows among accounts. Typical accounts include resource, activity, and cost-object accounts. Cost flows between accounts are modeled by various kinds of drivers including evenly-assigned, percentage, and calculated drivers. With this solution, organizations can make informed decisions that streamline processes, deliver revenue growth and reduce costs across the organization.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":11,"sellingCount":17,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"SAS Cost and Profitability Management","keywords":"cost, that, profitability, costs, Cost, processes, sell, more","description":"SAS Cost and Profitability Management is an analytic application that models business processes to accurately determine process, product and customer cost and profitability. 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This gives organizations the ability to perform advanced statistical models such as ‘what-if’ calculations, as well as future-proof various aspects of their operations.\r\nThe term is an umbrella for several sub-fields of analytics that work together in their predictive capabilities.\r\nThe major areas that make up advanced analytics are predictive data analytics, big data, and data mining. The process of advanced analytics includes all three areas at various times.\r\n<span style=\"font-weight: bold;\">Data mining</span> is a key aspect of advanced analytics, providing the raw data that will be used by both big data and predictive analytics. <span style=\"font-weight: bold;\">Big data analytics</span> are useful in finding existing insights and creating connections between data points and sets, as well as cleaning data.\r\nFinally, <span style=\"font-weight: bold;\">predictive analytics</span> can use these clean sets and existing insights to extrapolate and make predictions and projections about future activity, trends, and consumer behaviors.\r\nAdvanced analytics also include newer technologies such as machine learning and artificial intelligence, semantic analysis, visualizations, and even neural networks. Taken together, they help advanced analytics software create an accurate enough canvas to make reliable predictions and generate actionable BI insights on a deeper level.","materialsDescription":"<h1 class=\"align-center\">A list of tips on how to manage the process of building an advanced analytics program</h1>\r\n<ul><li>Start with a proof-of-concept project to demonstrate the potential business value of analytics applications.</li><li>Take training seriously. 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