Data Management Insights
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Ключевые вопросы для запуска ваших проектов по аналитике данныхНет единого плана по работе над проектом по аналитике данных. Эксперт по технологиям Фил Саймон предлагает рассмотреть эти десять вопросов в качестве руководства.
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Персональные данные: разбираемся в GDPRЧтобы узнать больше о понятии «персональные данные», почему об этих данных говорят в новостях и почему они жестко регулируются Общим положением о защите данных (GDPR), мы пообщались с Джеем Экзэмом, юристом по вопросам конфиденциальности в SAS.
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Пять этапов подготовки данныхПодготовка данных — это процесс их объединения, приведения к единому формату и очистки с целью дальнейшего анализа и решения других бизнес-задач.
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The opportunity of smart grid analyticsWith smart grid analytics, utility companies can control operating costs, improve grid reliability and deliver personalized energy services.
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Управление качеством данных: что вам нужно знатьКачество данных не является хорошим или плохим, высоким или низким. Это диапазон или показатель работоспособности данных, проходящих через вашу организацию.
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The future of IoT: On the edgeFrom cows to factory floors, the IoT promises intriguing opportunities for business. Find out how three experts envision the future of IoT.
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Озеро данных и хранилище данных – в чем разница?Что же такое озеро данных? Это просто маркетинговый хайп? И вообще, чем оно отличается от традиционного хранилища данных?
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What is data profiling and how does it make big data easier?Data profiling, the act of monitoring and cleansing data, is an important tool organizations can use to make better data decisions.
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5 steps to sustainable GDPR complianceFollow these steps to achieve GDPR compliance by the May 2018 deadline – and get added benefits along the way.
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Генеральный регламент по защите данных (GDPR): от проблем к возможностямЕсли оставить в стороне страхи, связанные с необходимостью соответствовать разнообразным требованиям регламента, то вы сможете оценить уникальные возможности, которые GDPR дает компаниям.
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5 подсказок по монетизации информации, которые улучшат вашу стратегию работы с даннымиМонетизация данных - это намного больше, чем просто их продажа с целью получения прибыли.
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Tips for successful data integration modernizationOrganizations today have to capture, process and move all types of new and big data. Get some tips for data integration modernization from TDWI.
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Coming soon: The Industrial Internet and IoT standardsFrom smart farms to connected water meters, the IIoT party is happening – with consensus around IoT standards playing host.
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The importance of data quality: A sustainable approachBad data wrecks countless business ventures. Here’s a data quality plan to help you get it right.
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Big data integration: Go beyond 'just add data'Every business-focused technology requires users to "just add data." This article by Matt Magne explores why that's much easier than it sounds, especially in a big data age.
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Data governance: The case for self-validationLearn why you should redefine data governance policies to empower customers to be accountable for keeping their personal data accurate, consistent and up-to-date.
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What was your data doing during the financial crisis?Financial institutions usually survive a crisis, then react to prevent it in the future. SAS' Mazhar LeGhari explains how data can help you break that cycle.
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Data governance framework: What is it and do I already have one?A data governance framework encompasses a holistic approach to how you collect, manage and archive data.
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Soccer versus baseball: which is the best analogy for data governance?Is data governance more like baseball, featuring individual effort, or like soccer, where a team approach wins? Carol Newcomb evaluates the best sports analogy for data governance.
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You don’t know me. Or do you? Data meets anthropologyLaw and medicine. Anthropology and data management. And so on. What new advances can happen when fields of study converge?
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Components of an information management strategyBefore starting a data management strategy for your business, you need to understand each component. Data expert David Loshin breaks them down.
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Goooooal! How data stewards score with data visualizationWhen it comes to data visualization, the role a data steward plays is not so different from that of a referee. They both enforce rules, stay true to the game -- and are critical to success.
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Charlie Brown's Teacher Speaks Hadoop. Do you?Ever felt like you and your big data specialist were speaking different languages? Learn how a non-geek can speak big data.
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Canada Post on the (careful) commercialization of dataAs a common data point across databases, address data is an integral part to any master data management strategy. It’s powerful when it’s right; frustrating when it’s not. Could Canada Post turn a seemingly ordinary data point into a profitable business line?
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You can’t have that data! It’s not perfect yetShould you have complete confidence in the quality of your data before handing it over for use in processes or analytics? Not necessarily. Find out why it’s okay for your data to be “good enough.”
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Five steps that can save your data analytics – and help you save faceThere’s nothing more awkward than watching analysts struggle to defend their results. Even if you think your process is rock-solid, things can go awry – unless you keep these milestones in mind.
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