By now, you’ve heard all about the advantages of cloud computing. But the cloud also has its downsides. Among them are the special challenges for data quality that arise when data and data...
Effective data management is more important than ever before, but it is also more difficult today than in the past. The volume of data that companies have to work with is increasing as cloud...
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...
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....
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...
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...
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...
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...
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...
