Remove 2008 Remove Big Data Remove Cost-Benefit Remove Reporting
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5 Ways Data Analytics Helps Us Understand the Student Lending Crisis

Smart Data Collective

Data analytics is giving us more insights into many of the most pressing challenges that we have faced as a society. More policymakers are using data to make more informed decisions. Analytics Insight shared a list of 10 major ways that big data is changing politics. But what should today’s borrowers really expect?

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Live Patching Is Invaluable To Data Development In Linux

Smart Data Collective

There are a number of different platforms for developing applications that rely on big data. Computer Weekly has stated that Linux is the “powerhouse of big data.” However, developing big data applications rely on the most up-to-date tools. Live Patching is Important for Big Data Applications.

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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. The solution should be scalable, cost-efficient, and straightforward to adopt and operate.

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AI Data, Traditional Trading, and Modern Investments

Smart Data Collective

Thanks to the invention of the internet, everything from conducting trades to downloading comprehensive reports can be completed almost instantly. Does implementing AI & AI data into the modern trading world actually provide any benefits? Fortunately, the first robo-advisors were created in 2008.

Finance 138
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New Thinking, Old Thinking and a Fairytale

Peter James Thomas

The above chart compares monthly searches for Business Process Reengineering (including its arguable rebranding as Business Transformation ) and monthly searches for Data Science between 2004 and 2019. Business Process Reengineering (BPR) used to be a big deal. And reduced costs aren’t guaranteed […].

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Benchmarking Performance: Your Options, Dos, Don'ts and To-Die-Fors!

Occam's Razor

But it is often a million times simpler to create your first set of benchmarks using your own data/performance. If you've read my first book Web Analytics: An Hour A Day, you know that I've advocated this strategy since 2008! There are four reasons, again from Web Analytics: An Hour A Day, from 2008 (!):

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If data is the new oil, ISO 20022 is the new gasoline

IBM Big Data Hub

The benefits of providing an enhanced definition for payment transactions include the following: Improving automation to achieve higher straight-through-processing (STP) rates. Leveraging rich data to provide value-added services, such as real-time fraud detection, automated reconciliation, etc.