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2019 Highlights in Metadata Management

Octopai

As 2019 comes to a close, we think it’s the perfect time to review trends in metadata management as well as look at some of Octopai’s own highlights. What a flashback to see all that we’ve achieved this year in data governance, risk and compliance, data analysis and reporting. A Few Key BI Takeaways from 2019.

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Log Analytics Practices That DevOps Experts Must Embrace In 2019

Smart Data Collective

When you consolidate log data like this, it is easier to manage and analyze it, allowing you to identify patterns and trends from different log data points of origin and also mitigating the risk of losing that data in a production environment that is scaling all of the time automatically.

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

AWS Big Data

Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization. We also used FactSet’s market data solutions for historical and streaming market quotes and trades.

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18 Examples Of Big Data Analytics In Healthcare That Can Save People

datapine

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. The application of big data analytics in healthcare has a lot of positive and also life-saving outcomes. 3) Real-Time Alerting.

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Machine Learning Transforms Life Insurance Beyond the Actuarial Process

Smart Data Collective

The market for data analytics in the insurance sector is projected to be worth nearly $22.5 Many of the applications of big data for insurance companies will be realized with machine learning technology. If a customer has already filed multiple complaints with the insurer, it could mean they are at risk of churn.

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Tips for a Data Backup Plan

TDAN

If you are targeted by a criminal online, then you risk losing everything— from your essential data to your reputation. The average cost of a global data breach cost has increased in 2019 and is now $3.92 Cyber-attacks are a huge problem for today’s businesses.

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Shopping with Fraud Protection and Adaptive Artificial Intelligence

CIO Business Intelligence

The amount of money lost to card-not-present fraud in 2020 was six times greater than what merchants lost in 2019, according to the Nilson Report. That wasn’t a fluke either, as the 2019 numbers were four times higher than 2018. million rules are applied to each transaction to assess its risk. Processes’ is an understatement.