Blog Posts on Cloud, Data Lake, Data Quality Validation and Data Reconciliation
Challenges With Data Observability Platforms and How to Overcome Them
Alation + DataBuck: Advanced Data Quality With Integrated Data Governance
Have you heard about the new industry initiative to improve data quality? It’s called the Alation Data Quality Initiative, and…
Read MoreTop 3 Misconceptions About Data Quality You Need to Know
In today’s data-driven world, businesses recognize the immense value of data in driving decisions and improving performance. Yet, many still…
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Informatica Data Quality: What It Does, Key Uses, Competitors, and Top Alternatives
Many enterprises worldwide rely on IDQ to monitor and manage the quality of data they use for day-to-day operations. IDQ…
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10 Things a Data Quality Tool Can Do for You
Every company relies on data to make key business decisions. If that data is bad, it could lead to bad…
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How to Build a Framework for Data Governance?
Good data is the lifeblood of your organization. As data volume continues to rise, your ability to manage it could…
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Understanding the Modern Data Stack: Key Components & Benefits
How much value does your organization get from its data? To maximize its potential, you need a modern data stack—a…
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Data Lake vs Data Warehouse: 3 Key Differences for Effective Data Management
Picture this: You’re a chef preparing a special meal tomorrow. You have all the ingredients you need today, but now…
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Anomaly Detection: A Key to Better Data Quality
Why Data Quality Matters and How Anomaly Detection Helps? Maintaining data quality is important to any organization. One effective way…
Read MoreWhy Data Trustability in Banking is Essential for Mid-Sized Banks and Financial Services Firms
Introduction: The Trust Crisis Facing Mid-Sized Banks In the US has tested Americans’ faith in regional and community banks that…
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How to Build a Data Stack That Ensures Data Quality
How does your organization manage the volumes of data ingested each day? The most effective way to ingest and manage…
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