Data quality plays a foundational role within the broader context of data integrity. From the executive suite to the front lines, the people who rely on analytics to help them make important...
It’s a complaint we hear from executives at virtually every company we talk to: “We know that we have a ton of data,” they say, “spread out across all the various software systems, databases,...
Few organizations have created dedicated data quality teams, according to a study from O’Reilly Radar. To make matters worse, only 20% of companies track and report data lineage. And while...
Real-world applications of data and analytics are exploding, due to the power and affordability of advanced analytics and the explosion of information is available than ever before. As the quest for...
As 2021 wraps up, we would like to recap our top posts of the year in Data Integrity, Customer Engagement Solutions, Location Intelligence, Data Enrichment, Data Integration, Data Quality, and Data...
Data quality helps you understand your data and ensure it’s accurate, consistent, and complete while a data governance framework allows you to proactively find and manage your data for better...
Organizations build data lakes to improve reporting on historical data and capture insights only revealed by machine learning; where models can forecast likely business outcomes and suggest actions...
Advanced analytics, including artificial intelligence and machine learning (AI/ML) are hot areas for investment right now, and for good reason. Organizations have access to more data than ever...
From the second data enters your enterprise and begins to move, it is vulnerable. Data in motion flows through many systems before it may be analyzed to derive valuable information for better...
