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Такой подход должен был выделить себестоимость бизнес-процессов и получить показатели, необходимые для анализа и принятия решений.\r\nЦели и задачи\r\nЦелями внедрения промышленной системы расчета аллокации расходов были прозрачный и детальный анализ и оценка полной себестоимости и прибыльности продуктов и процессов, уточнение расчета текущего LTV (ценность жизненного цикла) клиентов, возможность использования информации о распределенных расходах при принятии решений о развитии и/или изменении характеристик продуктов, обеспечивающих и обслуживающих процессов.\r\nДля того чтобы достигнуть поставленных целей, специалистам «Энвижн Груп», совместно с проектной командой ВТБ, необходимо было разработать унифицированную организационно-функциональную структуру, модель аллокации (последовательность расчетов, методику формирования расчетных показателей, справочников, драйверов аллокации и т. п.) и соответствующую нормативную документацию, развернуть программное обеспечение.\r\nКлиент о проекте\r\n«Система полностью соответствует разработанной методике аллокации, алгоритм расчета стал гораздо прозрачнее. Сотрудники успешно освоили функционал и возможности решения, его использование будет полезно всем подразделениям. Отдельно стоит отметить представление данных в кубах – это очень удобно и наглядно».\r\nДмитрий Пьянов, старший вице-президент, директор департамента финансов ВТБ\r\nРешение\r\nПервым этапом специалисты Ernst&Young произвели анализ лучших практик и организацию референс-контактов, а также дали рекомендации по совершенствованию методики аллокации и основным направлениям дальнейшего развития.\r\nВторым этапом проекта стало внедрение автоматизированной системы SAS Activity Based Management (ABM) в филиальной сети Банка ВТБ, в головном офисе и дочерних компаниях. Кроме того, тренинг-центр SAS обучил сотрудников банка работе в системе. Внедрение и отладка системы в рамках пилотного проекта в ВТБ24 заняли около трех месяцев, во всей группе ВТБ – 9 месяцев.\r\nРезультат\r\nРешение охватило головной офис, 55 филиалов, 15 дополнительных офисов в Москве и 10 дочерних компаний банка. 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Компания входит в состав Финансовой Корпорации УРАЛСИБ, предлагая все виды страховых услуг. Филиалы и представительства СГ УРАЛСИБ работают в 250 городах (400 офисов продаж, 62 филиала).\r\n\r\n\r\nОписание проекта\r\n\r\nНа Западе 15—20% всех страховых выплат получают мошенники. Ущерб от их деятельности увеличивает стоимость полиса не менее чем на 5—10%. Эта проблема актуальна и для российских страховщиков. Для защиты бизнеса и своих клиентов СГ УРАЛСИБ внедряет SAS Fraud Framework for Insurance, комплексное аналитическое решение для противодействия мошенничеству. На российском страховом рынке подобный проект реализуется впервые, он стал возможен благодаря опыту проектных команд «Ай-Теко» и SAS Россия/СНГ.\r\n\r\nПо оценкам экспертов, в 2012—2014 гг. объем мошенничества в России вырос в два раза, дойдя до 30% выплат в популярных видах страхования: ОСАГО, КАСКО, кредитного страхования и страхования недвижимости. По объему ущерба лидируют «профессиональные» мошенники, которые заранее планируют страховой случай, а по количеству заявлений — «спонтанные», незначительно подтасовывающие факты происшествия. При этом 44% респондентов Национального агентства финансовых исследований не считают преступлением фальсификацию страховых случаев.\r\n\r\nСовременные технологии для предотвращения мошенничества необходимы: по оценке экспертного центра SAS, без специализированных решений компании фиксируют не более 25% случаев мошенничества. «В автостраховании мы будем использовать SAS Fraud Framework for Insurance. SAS Россия/СНГ представила лучшее решение: набор аналитических инструментов, а также экспертиза вендора и подрядчика полностью соответствуют нашим запросам», — добавляет заместитель генерального директора СГ УРАЛСИБ Иван Шорников.\r\n\r\nSAS Fraud Framework выявляет признаки мошенничества при заключении договора и урегулировании страховых случаев. Для этого используется гибридный подход, сочетающий экспертные правила, статистические методы, мониторинг и детектор аномалий, прогнозное моделирование, анализ неструктурированных данных и социальных связей клиента. Разбирая конкретный случай, сотрудники СГ УРАЛСИБ получат сведения о клиенте в едином интерфейсе: круг общения, история его автомобиля, обстоятельства ДТП. Система предусматривает возможность обработки исторических данных за последние три года. Комплексный подход к анализу обеспечит точность оценки запросов и сведет к минимуму вероятность ложной тревоги.\r\n\r\nВ январе 2015-го подошла к финишу первая стадия проекта по развертыванию SAS Fraud Framework for Insurance, запущены процессы адаптации решения к специфике работы СГ УРАЛСИБ, построения аналитических моделей, подключения к системе источников данных. Завершение внедрения запланировано на I квартал 2015 года.\r\n\r\n\r\nЦитаты\r\n\r\n«Спонтанные» мошенники думают, что они обманывают компанию, а на самом деле обманывают себя. Волна мошенничества вынуждает страховщиков увеличивать бюджет на аналитику и деятельность службы безопасности. Это отражается на честных клиентах: растет время рассмотрения заявок на полис, урегулирования, корректируются тарифы, — комментирует Иван Шорников. — Мы ценим ответственных клиентов, поэтому приняли решение инвестировать в развертывание комплексной аналитической системы, чтобы им не пришлось переплачивать из-за мошенников».\r\n\r\n «Программный продукт SAS Fraud Framework уже более десяти лет успешно применяется в крупнейших банках и страховых компаниях по всему миру, — рассказывает директор по работе с финансовым сектором SAS Россия/СНГ Юлий Гольдберг. — В прошлом году состоялись первые успешные внедрения этого решения в крупных финансовых организациях нашей страны, где оно продемонстрировало хорошие результаты, как в выявлении мошенничества, так и в области организации процесса внутреннего расследования и подготовки материалов для передачи в правоохранительные органы».\r\n\r\n«Поскольку SAS Fraud Framework for Insurance впервые внедряется на отечественном страховом рынке, для реализации знакового проекта мы сформировали отдельную команду из лучших специалистов «Ай-Теко». 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