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Simplify Data Quality Monitoring and Data Quality Validation with DataBuck. https://firsteigen.com/

Entries in this blog

Software, AI, Technology, data observability tool

What Are the Five Pillars of Data Observability?

Data observability tools focus on diagnosing critical aspects of data quality and reliability. These aspects are often categorized into the five pillars of data observability, which provide a framework for monitoring and assessing data health. 1. Freshness Freshness, or timeliness, measures how recent a dataset is. Up-to-date data is critical for making accurate decisions, as data quality deteriorates over time. For instance, customer details may become outdated
Software, AI, Technology

12 Essential Strategies to Improve Data Quality

Enhancing data quality resolves these issues, offering benefits like reliable analytics, efficient operations, and cost reductions. Gartner projects that 70% of organizations will use key metrics to track and improve data quality by 60% in 2022. How to Improve Data Quality To enhance data quality, organizations can follow these key steps: Assess Your Data: Conduct a data assessment to understand what data you collect, where it's stored, and who accesses it. Define Accept


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