Analytics
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Article
Using analytics to prevent deadly infections Dignity Health’s Bio-Surveillance Program predicts new sepsis cases, allowing early intervention and saving lives.
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Article
Using big data to predict suicide risk among Canadian youthSuicide is the second leading cause of death among youth in Canada. Here's how big data and analytics can be used to help identify at-risk teens.
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Supporting indigenous communities with analyticsThough indigenous women are a small part of Canada's population, they account for a disproportionately large number of Canada's murder victims. Now, big data and analytics are being used to help improve outcomes.
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Machine learning for beginners and beyondWhether you’re an experienced data scientist or a machine learning beginner, you’ll appreciate these 10 tips for getting started with machine learning.
Big Data
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Interview
IoT in manufacturing: Voices from the fieldThe Internet of Things (IoT) is a transforming the manufacturing industry. Learn how the concept of connected devices can power smart manufacturing.
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How do free-to-play video games earn big profits?How does the industry leader of free-to-play, massively multiplayer online games scale its customer intelligence and analytics efforts to thousands of models and terabytes of data a day? With industrialized modeling from SAS.
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5 machine learning mistakes and how to avoid themMachine learning is not magic. It presents many of the same challenges as other analytics methods. Learn how to overcome those challenges and incorporate this technique into your analytics strategy.
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Can data sharing help cure cancer?Clinical trials can bring new drugs – and new hope – to the market for cancer patients. Now, a new data sharing platform for clinical trial data brings even more hope.
Business Intelligence
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Interview
Location analytics: Why adding where makes BI betterLearn how location analytics can enrich your BI endeavors by blending geographic data, spatial analysis and business data for deeper insights.
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Article
IIA research identifies barriers to business intelligence and analytics adoptionFind out what the biggest barriers are to business intelligence and analytics adoption and how to overcome them.
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Article
Learning the art of analytical storytellingCrafting and pitching enticing data-driven stories is a vital skill to master. Here are a few tips to help you get started with storytelling visualizations.
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Governed analytics and discovery: Balancing business user and IT needsTDWI provides seven steps for balancing IT governance needs with the expanding use of self-service BI and data discovery tools.
Data for Good
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Article
Using analytics to prevent deadly infections Dignity Health’s Bio-Surveillance Program predicts new sepsis cases, allowing early intervention and saving lives.
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Article
Using big data to predict suicide risk among Canadian youthSuicide is the second leading cause of death among youth in Canada. Here's how big data and analytics can be used to help identify at-risk teens.
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Article
Supporting indigenous communities with analyticsThough indigenous women are a small part of Canada's population, they account for a disproportionately large number of Canada's murder victims. Now, big data and analytics are being used to help improve outcomes.
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Article
Concussion: Journalist crunches the numbers and breaks a scandalHow Pulitzer Prize-nominated journalist Alan Schwarz used his stats background to achieve the most remarkable feat in sports journalism history.
Data Management
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Article
Data management backgrounderFrom data integration to data quality and data preparation, find out what these terms mean and why they’re so important for your analytics projects.
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The five D's of data preparationFrom discovering which data is best to use, to delivering it in the right format to users, learn why these 5 D’s are essential to data preparation.
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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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Data quality management What you need to knowData quality isn’t simply good or bad. Data quality management puts quality in context to improve fitness of the data you use for analysis and decision-making.
Fraud & Security
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Health care cost containment through big data analyticsTaking an enterprise approach to payment integrity – one that combines advanced data management and sophisticated analytics – can help payers detect and prevent fraud; effect positive change in how providers, employees and patients behave; and substantially reduce health care costs.
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Top 5 prepaid card fraud scamsThe margin for prepaid cards is slim, so it's particularly important to root out the scams. Here are some tips for combating and mitigating prepaid card fraud.
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Stop contract and procurement fraudFraud affects an estimated 30 percent of organizations' procurement processes. Beyond business rules and anomaly detection, analytics can detect and prevent fraud and preserve the integrity of the procurement process.
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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.
Marketing
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Article
What is marketing automation?Marketing automation uses the customer data you collect to create more effective campaigns and for better decisions across all channels – email, social and web.
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Real-time customer engagement is the future of experience managementReal-time customer engagement delivers contextual recommendations and decisions to your interactive customer channels at every possible touch point.
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The marketing analytics must-havesMarketing analytics will attune you to the true signals of what matters to customers as channels, technologies and data push the digital world forward.
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Harnessing the martech advantageMartech vendors have doubled in the past year. Find out what's fueling this growth spurt, and discover three ways to get the most value from your tech spending.
Risk Management
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Article
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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Article
CECL: Are US banks ready?CECL, current expected credit loss, is an accounting standard that requires US banking institutions to estimate life-of-loan losses at origination or purchase.
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IFRS 17 and Solvency II: Insurance regulation meets insurance accounting standardsIFRS and Solvency II encourage comparability and transparency from a regulatory and accounting perspective for insurers, but there are important differences.
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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.