Data Cleansing: How to Get Rid of Bad Data
Bad data costs time and money. The majority of companies know that bad data is an issue, yet have no solid plan in place for eliminating bad data and its effects. In fact, one study concluded that 85...
How Telco Firms Can Improve Compliance and Decision-Making without Stifling Innovation
In the telecommunications field, you’re faced with two challenges: making the right business decisions in a rapidly-changing environment, and adhering to regulations (especially those related to...
5 Data Quality Best Practices for Consistent and Error-Free Data
You know why data quality is important. But do you understand what data quality looks like in practice? If not, this post is for you. Keep reading for a primer on data quality best practices....
Answer the Tough Questions about Your Customers with a Single Customer View
The implementation of a single customer view provides organizations the ability to have a more consistent and accurate understanding of, and communications with, their customers. However, the...
Kickstart a Data Quality Strategy to Build Trust in Your Data
Data quality strategy 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...
Building a Framework for Data Quality Management
Data quality management has emerged as an increasingly important factor in determining the success of big data analytics and AI/machine learning initiatives. Even at a purely operational level, the...
5 Pillars of Effective Data Management
Enterprises today are relying more than ever on having good data with which to work. Critical business decisions, from an organization’s strategic direction to the details of its everyday...
Data Quality: 4 Metrics to Monitor
Artificial intelligence and advanced analytics will be significant drivers of competitive advantage in the coming decade. The volume of available data has skyrocketed in recent years, made possible...
Information vs Data – What Is the Difference?
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,...