Posts by Giana Reno

Poor-quality data is a blight on every organization that depends on data to run its operations. Using inaccurate and incomplete data can affect operations and long-term strategic planning, lead to bad decisions, and make a company less competitive in the market. You can address the problem of poor-quality data through data testing and observability. You…

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…

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…

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…

Do you know the difference between data quality and data trustability? Both are concerned with data quality and usability but differ in how they approach the issue. Data quality tracks the accuracy of data within a data pipeline. Data trustability has a larger scope, using machine learning to identify data errors from data creation to…

Do you trust the data used by your organization? A data trust score measures how much you trust your data and is based on how accurate, up-to-date, and relevant your data is. In the end, the data trust score reflects your data’s quality—high-quality data is more trustworthy than low-quality data.  Quick Takeaways Organizations have to…

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…

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…

Do you know what data observability is or how to use it with data lakes? Large organizations are increasingly using data lakes to store large volumes of data from various sources, and data observability can make that data more usable. It’s all a matter of creating a more reliable and efficient data pipeline—at which data…