10 Common Data Quality Issues (And How to Solve Them)

Data quality is essential for any data-driven organization. Poor data quality results in unreliable analysis. High data quality enables actionable insights for both short-term operations and long-term planning. Identifying and correcting data quality issues can mean the difference between a successful business and a failing one. What data quality issues is your organization likely to…

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How to Build a Unified, Scalable Cloud Data Lake – Key 4 Step Process.

A cloud data lake is a powerful AI and ML tool.

Large, flexible, and powerful. No, not the Stay Puft Marshmallow Man. Cloud data lakes can store large amounts of data, are flexible enough to store a wide range of structured and unstructured information, and are a powerful tool for business analytics across diverse industries. This guide is the only one you’ll need to understand what…

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How to Build the Perfect Analytics Stack?

Abstract cubes representing an analytics stack.

How effective is your organization’s analytics stack?  You need the right stack of technologies to maximize data ingestion, transformation, storage, and analysis. A less-effective analytics stack can result in poor data quality and often unusable data.  When you build the perfect analytics stack, you’ll be able to more effectively manage your day-to-day operations and make…

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Why Every Catalog Needs a Data Trust Score?

Discover why your organization's data catalog needs a data trust score—and how you can benefit via better and more-informed decision-making.

Does your data catalog need a data trust score? With the increasing use of data catalogs in data management, the answer is a resounding yes. Assigning a data trust score to a catalog ensures that the data within is trustworthy for use in both day-to-day and long-term decision-making.  Quick Takeaways What Is a Data Trust…

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5 Critical Things You Should Know About Data Trustability

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How much do you know about data trustability? Do you know how data trustability relates to data quality and data observability? Do you know how it works within a data pipeline? Do you know why your firm needs it?  Data trustability is the next step in data quality. It goes beyond both data monitoring and…

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Data Pipeline Observability: What It is and Why It Matters

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Data observability is the big buzzword these days, but do you know what it is or what it does? In particular, do you know why data observability is important for data pipelines? You use a data pipeline to move data into and through your organization. You use data observability to ensure that your data pipeline…

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