Today’s financial services organizations are swimming in data. That represents a huge opportunity, especially as advanced analytics, AI, and machine learning gain momentum. It also raises some...
Often organizations create quick fix solutions to tackle the business glossary challenge including, “we have an Excel-based solution”, and often it does effectively inventory and define terms....
What stands in the way of high availability and your data? Keep reading for a list of common reasons why data may become unavailable. Highly available data means data that is accessible virtually...
You know quality data is important for business. But do you know just how important – in terms of cold, hard cash – it is, or how to maximize data’s value? If not, this post is for you. It’s...
Metadata management and master data management might sound like similar terms, but the difference is very important. Both are essential to virtually any enterprise. To understand why, you’ll need...
If you work with data, you’ve probably heard the term more than a few times, but what is data quality? Do you know what it actually means, and what data quality analysts do? If not, this...
For many enterprises today, the data captured and retained by their IT systems is among their most valuable assets. Making effective use of that unique pool of information and data optimization can...
Achieving high availability for data is tough. The best-laid data infrastructures often go awry for a variety of reasons, and they bring data availability down with them. What are those things that...
Data quality is important to business. That you know. But do you understand what it takes to provide data quality We’ll review how data quality problems can arise. Briefly defined, data...
