To stay viable in today's constantly changing market, businesses need to be able to anticipate what comes next and react quickly. It comes down to the power they have over data. In exchange for personalized services, customers are willing to share their data. But businesses cannot afford to assume that the data collected is trustworthy. Poor quality data could be the … [Read more...] about Mastering Data Quality: Strategies, Solutions, and Impact on Business Success
data quality
Data is the foundation of AI, and quality is non-negotiable
The relentless growth of Software-as-a-Service (SaaS) has been one of the defining success stories of the past decade. SaaS is now the default model for new software products, and there are many seeking to replicate this kind of innovation in other industries. We are in a world where almost anything can be obtained "as-a-Service".But SaaS disruption does not stand still. The … [Read more...] about Data is the foundation of AI, and quality is non-negotiable
Top Six Data Quality Fixes to Maximize AI Potential
From medicine to manufacturing, AI has a significant presence across industries. The potential to improve systems with AI is limitless. That said, AI tools are only as useful as the data they work with. AI takes the data presented to it at face value and generates results accordingly. When based on poor-quality data, the results can have very serious consequences. Let's … [Read more...] about Top Six Data Quality Fixes to Maximize AI Potential
Implementing Data Version Control to Ensure Compliance
In the ever-changing world of data-driven decision-making and regulatory requirements, ensuring compliance with data governance standards has become an indispensable aspect of modern organizations. Data compliance refers to the adherence to legal, ethical, and industry-specific regulations that dictate how data should be collected, stored, processed, and shared. Failure to … [Read more...] about Implementing Data Version Control to Ensure Compliance
How to Build a 5-Layer Data Stack
Like bean dip and ogres, layers are the building blocks of the modern data stack. Its powerful selection of tooling components combine to create a single synchronized and extensible data platform with each layer serving a unique function of the data pipeline. Unlike ogres, however, the cloud data platform isn't a fairy tale. New tooling and integrations are created almost daily … [Read more...] about How to Build a 5-Layer Data Stack
