How to Scale Your Data Quality Operations with AI and ML

scale data quality operations

How can you cost-effectively scale your data quality operations as your business scales? The key is to employ artificial intelligence and machine learning technology that can take on an increasing amount of the data quality management chores as they learn more about your organization’s data. It’s all in the about making the best use of…

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Autonomous Cloud Data Pipeline Control: Tools and Metrics

data pipeline monitoring tools and metrics

Errors that get seeded in the data as it flows through the data pipeline, propagate throughout the organization and are responsible for 80% of all errors impacting the business users. High-quality data is essential to the success of any business or organization. It’s important to monitor your data pipeline to guard against missing, incorrect, old/not-fresh,…

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The Importance of Data Quality for the Cloud and AWS

First Eigen

Data stored in the cloud is notoriously error-prone. In this post, you’ll learn why data quality is important for cloud data management – especially data stored with Amazon Web Services (AWS). With every step that error-ridden data moves downstream, those errors get compounded – and it takes 10 times the original cost to fix them.…

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3 Top Big Data Uses in Financial Services

First Eigen

Data warehouses, lakes, and cloud services are notoriously error prone. In the financial services (FinServ) sector, this is unacceptable. Unmonitored, unvalidated, and unreliable data places these firms at risk due to the sensitive nature of the big data they manage. If your FinServ firm needs solutions for its dark data issues, you’ll need to learn…

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The A-to-Z Guide to Data Quality Testing

First Eigen

Data quality testing guards your business against low-quality data. If the quality of your company’s information assets is impacting revenue, it’s time to consider a solution. Companies from every industry rely on accurate data for analysis and data-driven insights. Without this information, businesses struggle to remain competitive, productive, and profitable within their market. For example,…

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What is Data Monitoring and Why Do You Need It?

First Eigen

What is Data Monitoring and Why Do You Need It? Organizations leverage information to make decisions that affect people and revenue. Data monitoring plays a role by ensuring that any data submitted is reliable and meets the criteria of an organization. It keeps checking the data to verify that it still holds to the rules…

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Poor Data Quality regulatory nightmare for a major Bank

A pile of money

Bank wrongly collects debt from customers due to IT errors. One of Europe’s reputed progressive banks is Danske Bank (Denmark). They pride themselves in excellent customer service and ethical treatment of their customers. Recently, much to their reputational embarrassment they collected outdated and excessive debt from up to 106,000 customers due to errors in its…

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