Solving 5 Big Data Governance Challenges in the Enterprise

According to a recent report from Drexel University’s LeBow Center for Business Analytics, 77% of data and analytics professionals say that data-driven decision-making is an important goal of data programs. However, fewer than half of survey respondents rate their trust in data as “high” or “very high.” Poor data quality impedes the success of data programs, […]

Best Practices for Modernizing Your Data Architecture

Can your current data architecture handle the massive influx of data that is coming into the enterprise every day? If not, it’s time to think about modernizing your data architecture to ensure you capture and manage one of the most valuable assets your organization has, its data. 6 Modern architecture best practices You can achieve […]

The New Trillium DQ: Big Data Insights When and Where You Need Them

According to the recent PwC Data Trust Pulse Survey, 86% of executives believe they are in a race to extract value from data, and a Forrester global research report indicated that 92% of data decision makers feel the need to increase the use of outside data. We’re continuing to create and use more and more […]

Why You Should Understand All Dimensions of Data Quality

Take a second to think about your most valuable asset. What’s the first thing that comes to mind? In today’s world, it’s data. Yet, information is only valuable if it meets certain data quality standards.  There are six dimensions of data quality: completeness, consistency, uniqueness, validity, timeliness, and accuracy. Read on to learn how each […]