Metadata Management vs. Master Data Management
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...
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...
Data quality is crucial – it assesses whether information can serve its purpose in a particular context (such as data analysis, for example). So, how do you determine the quality of a given set of...
Artificial intelligence and machine learning (AI/ML) holds tremendous promise for improved efficiencies, automation, and valuable insights that can drive business value. Machine learning (ML) is a...
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...
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...