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Data Prep 101: The Key to Actionable Insights

Mariam Anwar

Product Marketer

February 22nd, 2024

According to Gartner, poor data quality costs businesses an average of $12.9 million annually, making data preparation one of the most critical parts of a data analyst’s job.

Data preparation refers to the comprehensive process of cleaning, organizing, and transforming raw data into a usable format for analysis or other data-related tasks. It is a critical step in the data analytics and data science workflow, as it ensures that the data used for analysis is accurate, consistent, and ready for meaningful insights.

Importance of Data Preparation

Data Preparation with Astera

Astera’s integrated data management platform boasts automated features for data preparation, including robust features for data cleansing, transformation, and validation. The intuitive point-and-click interface provided by Astera simplifies the process of correcting erroneous or incomplete data, ensuring data reliability and uniformity. Additionally, Astera introduces a versatile grid view for users to inspect, visualize, engage with, and evaluate data on the fly, delivering immediate insights into data quality.

Want to experience the ease of Astera’s data management tools firsthand? Try it out now with our 14-day free trial and see the difference for yourself!

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