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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. Analytics Insight shared a list of 10 major ways that big data is changing politics. The biggest benefits relate to using big data to understand voters and create models of voting patterns in various districts.

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AI Data, Traditional Trading, and Modern Investments

Smart Data Collective

Does implementing AI & AI data into the modern trading world actually provide any benefits? Human analysts are able to incorporate these emotional responses into their stock predictions, combining them with trend data to produce relatively accurate analytics. Fortunately, the first robo-advisors were created in 2008.

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The New Normal for FP&A: Scenario Planning

Jedox

It’s about the preparation for a range of possible outcomes, the likelihood of each outcome, and developing corresponding strategies to maximize the long-term benefit. The 2008 economic crisis was a watershed event for FP&A teams and scenario planning. Think about the organizations that didn’t and were negatively impacted.

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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. version cluster.

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Live Patching Is Invaluable To Data Development In Linux

Smart Data Collective

Live patching is one of the most important technologies for developers working on data analytics projects on Linux. As an additional benefit, live patching can keep Linux servers fully updated and maintain high-security standards, without spiking server downtime. System updates can stall productivity, costing the company thousands.

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96 Percent of Businesses Can’t Be Wrong: How Hybrid Cloud Came to Dominate the Data Sector

Cloudera

In 2008, Cloudera was born. As cloud offerings grew, so did the demand for higher agility, speed, and cost efficiency. The Hadoop framework was developed for storing and processing huge datasets, with an initial goal to index the WWW. So private clouds, or on-premises data centers, became more suitable for sensitive data.

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Business Intelligence and the COVID-19 Pandemic

Paul Blogs on BI

Industries which have been hardest hit like airlines, entertainment, hospitality and restaurants can use it to intelligently reduce their costs as well as better understanding the impacts of options for their customers, employees and overall business. Some of the best BI solutions I have seen have been in the area of spend analytics.