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Как визуализация данных помогает в борьбе с преступностьюПравоохранительные органы по всему миру все больше используют технологии визуализации данных. Так, в Северной Америке полицейские активно работают с системами видеонаблюдения, которые в реальном времени собирают сводки о преступлениях, сведения о дорожной ситуации, геопространственные, метеорологические и другие данные. Решения принимаются на основе достоверных и надежных сведений, что позволяет своевременно выделять необходимые ресурсы для результативного вмешательства и предупреждения преступлений. Визуализация данных открывает широкие возможности. Воспользуйтесь ими и вы!
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Beyond IFRS 17 – what's next?IFRS 17 is not just another accounting standard. It represents a long-term investment that will pay off for insurers with a clear vision for future goals. Learn how IFRS 17 can provide transparency and insight to an insurance business while identifying strengths and areas for improvement.
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Fraud detection and machine learning: What you need to knowМашинное обучение является важной частью инструментария обнаружения мошенничества. Вот что вам нужно для начала работы.
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6 ways big data analytics can improve insurance claims data processingWhy make analytics a part of your insurance claims data processing? Because adding analytics to the claims life cycle can deliver a measurable ROI.
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Why banks need to evolve their approach to climate and ESG riskManaging environmental, social and governance (ESG) risk is important to banks, insurers, regulators, investors and consumers – yet there are many interpretations of how to do it. To thrive, organizations must learn how to evolve their risk management practices.
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Shut the front door on insurance application fraud!Как выявить, что вас обманывают агенты и страхователи, а также распознать первые признаки будущего мошенничества.
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Next generation anti-money laundering: robotics, semantic analysis and AIAdding AI and machine learning to your anti-money laundering program can combat rising compliance pressures, complexity and risks. Learn about the results innovative financial institutions around the globe are getting from next-generation AML.
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4 strategies that will change your approach to fraud detectionAs fraudulent activity grows and fighting fraud becomes more costly, financial institutions are turning to anti-fraud technology to build better arsenals for fraud detection. Discover four ways to improve your organization's risk posture.
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Are you covering who you think you’re covering? Payers often don't focus enough on healthcare beneficiary fraud in public and private healthcare plans. Before paying a claim, payers need to ensure beneficiaries are eligible. Advanced analytics applied to a broad range of data can help them accurately detect and prevent beneficiary fraud.
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How to uncover common point of purchaseFraudsters use many techniques to steal card data. Banks that want to stay ahead of common point of purchase (CPP) and contain the costs of fraud need to implement advanced analytics techniques to strengthen their fraud prevention programs.
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ТОП-5 схем мошенничества по предоплаченной картеЛучшие практики для предотвращения мошенничества, защиты репутации и обеспечения качественного клиентского обслуживания.
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Model risk management: Vital to regulatory and business sustainabilitySloppy model risk management can lead to failure to gain regulatory approval for capital plans, financial loss, damage to a bank's reputation and loss of shareholder value. Learn how to improve model risk management by establishing controls and guidelines to measure and address model risk at every stage of the life cycle.
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Online payment fraud stops hereBillions of dollars each year are lost to online payment fraud through channels that provide convenient – yet vulnerable – ways to shop and bank. See how to fight back and win with advanced analytics.
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Strengthen your payment fraud defenses with stronger authenticationThe rapid growth of digital wallets and payment applications ushered in many new payment fraud threats. Today, it’s more critical than ever to authenticate users. Learn four innovative to ways strengthen your authentication defenses while reducing false positives and protecting customers’ assets.
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Managing fraud risk: 10 trends you need to watchSynthetic identities, credit washing and income misrepresentation – these are just some of the trends to watch if you’re trying to understand how to manage fraud risk. Find out what’s on the top 10 list of trends according to experts like Frank McKenna and Mary Ann Miller.
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Payment fraud evolves fast – can we stay ahead?Payment fraud happens when a criminal steals a person’s private payment information, then uses it for an illegal transaction. As payment trends evolve, so do the fraudsters. Banks and PSPs can fight back with advanced analytics techniques that adapt quickly to spot anomalies in behavior.
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Будущее банковского стресс-тестирования с аналитикой SAS в AzureУзнайте о вызовах, с которыми сталкиваются компании при стресс-тестировании, и о преимуществах перехода в облако.
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Банки проверяют все операции на предмет отмывания денегНесколько лет назад в интернете можно было найти массу жалоб на несколько банков, которые слишком буквально восприняли нормы закона 115-ФЗ, и начали блокировать практически все крупные транзакции.
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frtb: a wait and see strategy could be riskyFRTB, fundamental review of the trading book, is a regulation that changes how banks analyze market risk in the trading book to address systemic challenges.
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CECL: Are US banks and credit unions ready?CECL, current expected credit loss, is an accounting standard that requires US banking institutions and credit unions to estimate life-of-loan losses at origination or purchase.
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Uncover hidden financial crime riskEscalating threats call for a financial crime risk framework that uses powerful, visual, interactive techniques to proactively identify hidden risks.
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Доверяй, но проверяй: как бороться с внутренним мошенничеством в ритейлеКак торговым сетям, имея бесконечные метражи складов и торговых залов, выявлять факты внутреннего мошенничества и в перспективе предотвращать их?
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Страховой Дом ВСК: «Страховым компаниям сегодня жизненно важны IT-инновации»Какие технологии позволяют страховщику максимально учитывать характеристики автовладельца и транспортного средства и более объективно оценивать принимаемые риски, рассказал вице-президент Страхового Дома ВСК Василий Бусаров.
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Фокус – на контрольВремя характеризует наши запросы. Сейчас это оперативность, скорость, доступность и простота. Основополагающие изменения, отвечающие темпам жизни и набранным «сверхскоростям» и затронувшие все сферы жизни.
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Непрерывный мониторинг как способ предотвращения мошенничества в закупкахМошенничество с закупками молча отнимает у предприятий в среднем 5% расходов ежегодно. И даже когда организации вкладывают средства в методы обнаружения, они их часто подводят. Узнайте, что такое постоянный мониторинг и почему этот проверенный аналитический метод является ключом к борьбе с таким видом мошенничества.
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Rethink customer due diligenceTo streamline compliance and protect against financial and regulatory risk, re-examine your customer due diligence processes and technologies regularly. With new analytical tools, you can monitor customer transactions or personal information in real time, and accurately segment customers by the risk they represent.
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Как ИИ и углубленная аналитика влияют на отрасль финансовых услугВедущие эксперты SAS обсуждают темы, которые волнуют мошенников и не дают спокойно спать руководителям компаний.
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МСФО 17: нет времени на раздумьяМСФО 17 - это основанный на принципах стандарт бухгалтерского учета для ориентированной на будущее оценки договоров страхования. Предназначенный для повышения финансовой прозрачности, МСФО 17 требует, чтобы страховщики более подробно сообщали о том, как договоры страхования и перестрахования влияют на их финансы и риск.
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The best gift you can give to thieves this holiday season? Your identity.While the use of EMV in cards has helped to mitigate fraud perpetrated at retail stores, undeterred fraudsters have focused their efforts online. Find out how advanced analytics and machine learning help combat this threat.
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Applying technology to ensure voter integrity in electionsVoter integrity is becoming a serious concern. Recent disclosures of foreign influence using social media highlight the potential impact on the democratic process. Technology can identify both legitimate and fraudulent activity; the key is to minimize the impact on legitimate activity while thwarting cyber-criminals and fraudsters.
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Сценарное стресс-тестирование: выходя за пределы нормативных требований Благодаря регуляторному стресс-тестированию банки получили навыки управления в условиях определенности.
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Аналитика как инструмент для борьбы с зависимостью от рецептурных сильнодействующих препаратов и незаконно приобретенных наркотических веществШтаты и подразделения Medicaid, осуществляющие мошеннический контроль, теперь имеют аналитические инструменты, необходимые для изменения траектории кризиса опиоидов путем анализа данных и прогнозирования проблемных точек - будь то у пациентов, врачей, дистрибьюторов или производителей. Инструментарий от УГИ с бесплатным программным кодом SAS® делает это возможным.
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Проактивное обнаружение - новый подход к борьбе с терроромЧтобы противостоять террору, следственным группам пора выяснить, что они могут сделать с уже имеющимися у них данными, просто применив немного иной подход или свежий взгляд.
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Health care cost containment through big data analyticsHealth insurers are plagued by fraud, waste and abuse. For health care cost containment, an enterprise approach to payment integrity using data management and analytics can help. With this approach, payers can detect and prevent fraud; influence provider, employee and patient behavior; and substantially reduce costs.
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Аналитика SAS помогает финансовым разведкам выявлять риски и типологии отмывания денегSAS Россия/СНГ приняла участие в совместной встрече экспертов FATF по типологиям отмывания денег и финансирования терроризма, а также оценке рисков, и представила методологию разработанного подхода экспертам в области ПОД/ФТ из зарубежных ПФР и международных организаций.
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Предотвращение мошенничества в процессах заключения договоров и закупокКакие бы инструменты и процессы ни применялись на сегодняшний день, всегда есть возможность перейти на более высокий уровень, чтобы обеспечить более точное обнаружение фактов мошенничества на более ранних этапах, своевременное оповещение, а также сокращение количества ложноположительных результатов.
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Detecting health care claims fraudHealth care claims fraud could represent as much as 10 percent of total claims cost. Learn how to fight back with analytics.
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Credit risk management is the answerLending and loan volume is back up to pre-crisis levels. But banks are facing higher delinquencies as well. That's why improving credit risk management is crucial.
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When it matters: Safeguarding your organization from the insideWith evolving threats, fraud detection technologies have to be flexible and nimble, and automated risk detection is a crucial component of decision advantage.
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IFRS 9 and CECL: The challenges of loss accounting standardsThe loss accounting standards, CECL and IFRS 9, change how credit losses are recognized and reported by financial institutions. Although there are key differences in the standards for CECL (US) and IFRS 9 (international), both require a more forward-looking approach to credit loss estimation.
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Analytics for prescription drug monitoring: How to better identify opioid abusePrescription drug monitoring programs (PDMPs) are a great start in combating abuse of prescription drugs, but they could be doing much more. Better data and analytics can inform better treatment protocols, provider education and policy decisions – and save lives.
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Risk data aggregation: Transparency, controls and governance are needed for data quality and reportingFinancial institutions’ data aggregation and reporting techniques and systems are receiving increased attention both internally and externally. Find out how to take a comprehensive approach to BCBS principles and risk data aggregation and management.
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Risk data infrastructure: Staying afloat on the regulatory floodWhat are the challenges of a risk data infrastructure and how can they be addressed? Here's what you need to know to build an effective enterprise risk and finance reporting warehouse.
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Small-time cheats and organized crime: Benefits fraud re-examinedTo combat benefits fraud, better utilize resources and improve ROI, analytics can detect organized crime rings rather than just small-time fraudsters.
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Online fraud: Increased threats in a real-time worldOnline and mobile banking is convenient for customers -- and an opportunity for fraudsters. With fraud methods constantly evolving, an analytical approach is a must for banks seeking early, accurate detection.
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Mobile payments, smurfs and emerging threatsM-payment remittances are replacing traditional banks and money services that have historically charged high fees for small transfers. Former US Treasury Special Agent John Cassara maps what he sees in the road ahead and gives advice for protecting your firm.
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Data quality: The Achilles' heel of risk managementGiven the tightly regulated environment banks face today, the importance of data quality cannot be overstated. Beyond the obvious benefits of staying one step ahead of regulatory mandates, having accurate, integrated and transparent data will drive confident, proactive decisions to support a solid risk management foundation.
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A new arms race: Analytics for commodity market complianceRogue trading and dodgy deals are not the only things keeping chief risk officers awake. Today’s regulators now employ big data analytics to uncover troubles in the commodity swaps market. Staying ahead of innocent compliance errors – and quickly identifying the occasional bad actor from within – will require some tough analytics of your own.
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Attitudes toward liquidity risk have changedIn 2008, most banks took for granted that they would always have access to liquidity, and so they didn’t worry too much about liquidity risk. Even regulators worried little about it – until the danger was exposed.
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What is a risk model?Banks use multiple models to meet a variety of regulations (such as CCAR and Basel III). With increased scrutiny on model risk, bankers must establish a model risk management program for regulatory compliance and business benefits. Begin the planning by clearly defining what a risk model is.
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How big data analytics can be the difference for law enforcementThe real value in big data analytics is that you don’t have to know what you’re looking for before you start. This is a huge benefit to law enforcement agencies that are facing tighter budgets and scarcer resources.
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How police forces can use data to prevent crimePolice need to be given better access to data that will drive actionable intelligence and free up time to concentrate on investigating crime on the front line rather than dealing with time-consuming administrative tasks behind the scenes
Containing health care costs: Analytics paves the way to payment integrityFor payment integrity, health care organizations need to uncover a wider range of abuse, waste and errors and data-driven analytics is making that possible.
Risk capital and lessons from the TitanicEconomic capital is that something extra that senior management needs for staying financially afloat in tough economic times. Tara Skinner uses the tale of the Titantic to describe risk capital risk management best practices.