Complex Data Analysis: Processes and Tools

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Complex data analysis is necessary to help businesses and other organizations make sense of and use all the information they gather. To best utilize data analysis in your organization, it’s important to understand its value and know how it works. Do you know the process behind data analysis, or which data analysis tools are best…

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Data Catalog 101: 6 Benefits for Your Organization

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How organized is your firm’s data? Dealing with unorganized raw data can impact your company’s efficiency, productivity, and ability to make informed decisions. A better approach is to organize your data in a centralized data catalog and ensure you’re working with high-quality, easy-to-access information.  Quick Takeaways A data catalog is an organized collection of data…

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The Importance of Maintaining Data Quality with SLAs

Why service level agreements are important to ensure high-quality data and how to create a data quality SLA for internal or external use.

High-quality data is important to the operation of every organization, but how do you best ensure the data quality? One way to maintain data quality is an SLA—a service level agreement that defines and sets target levels for data quality in your organization.  Quick Takeaways A service level agreement (SLA) details the provided services to…

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7 Data Engineering Principles You Should Be Aware Of

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What is data engineering, and why is it important? Data engineering is about turning the data you collect into data you can use. For more effective data management, it’s important to follow seven key data engineering principles—and ensure that your data is of the highest quality possible.  Quick Takeaways Data engineering transforms raw data into…

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5 ETL Tools You Cannot Do Without in 2022

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Getting your ducks in a row is easier than managing the sprawling datasets that organizations have to juggle daily. Uncovering insights into business performance, determining the right growth strategy, and understanding where the next opportunity for innovation resides all depend on having quality data available from a variety of sources. Extract, transform, and load (ETL)…

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Dark Data: Use It or Lose IT

dark data

What is dark data? It sounds nefarious, but it’s really much more benign—data your organization owns but isn’t using. Virtually every company collects data that it ignores, but storing this dark data presents costs and risks that you don’t need.  How much dark data does your company own, and what should you do with it?…

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9 Factors to Improve Data Reliability

data quality

Do you know how to improve the reliability of your company’s data? Data reliability affects how you run your business. Unreliable data can lead to poor business decisions and difficulty running your company’s day-to-day operations. It is in your company’s best interest to improve data reliability—and here are nine ways to do it. Quick Takeaways…

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The Role of ML and AI in Data Quality Management

ai in data quality management

Ensuring high-quality data is imperative for every organization, but did you know the role of ML and AI in data quality management? That’s right, many of today’s sophisticated data quality management tools utilize advanced machine language (ML) and artificial intelligence (AI) technology to identify poor-quality data and make it cleaner. ML and AI help to…

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The 1-2-3 Guide to Data Quality Monitoring

data quality monitoring

Your business, like all businesses, relies on vast amounts of data to manage data-to-day operations and develop long-term strategies. The need to maintain high data quality reinforces the need for constant and consistent data quality monitoring. You need to be alerted if your data quality slips so that you can fix the problem and resume…

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Data Observability: Everything You Need to Know

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You’ve heard the phrase “data observability,” but do you know what it means—or why it’s important? Data observability is all about becoming more knowledgeable about the state and health of your organization’s data. Robust data observability enables you to identify issues with your data, including poor data quality, and helps you to resolve those issues.…

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