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 to understand a few things about both categories of data. Metadata refers to “data about data.” It describes where the information resides, how it is structured, […]
What is Data Quality? Explaining What Data Quality Actually Means
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 article’s for you. It may not be quite as popular a buzzword as big data, but it’s an oft-used […]
The Business Benefits of Data Optimization
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 be the key to the continuing success of the business in a highly competitive environment. Yet, in many cases, companies fall well short […]
6 Threats to the High Availability of Your Data (and How to Solve Them)
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 can go awry and prevent data high availability? And what can you do to stop or mitigate them? Threats to high availability Let’s […]
Understanding Data Quality: How Data Quality Problems Arise
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 quality refers to the ability of a data set to serve whichever need a company hopes to use it for. That need could be sending […]
Data Quality in the Age of Data Democratization and Data Literacy
Two trending topics in data today are data democratization and data literacy. Here, we’ll explore what these two trends mean, why they are important now, and why they are likely to continue to be important for the foreseeable future. What Is Data Democratization? Data democracy means, in essence, that all stakeholders in an organization can […]
The Importance of Data Integrity in the Age of AI/ML
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 subset within the larger category of AI which enables machines to learn by consuming large volumes of data to learn its patterns and ultimately make accurate predictions, without requiring […]
How the Cloud Complicates Data Quality (& How You Can Fix It)
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 applications move to the cloud. This does not mean that you shouldn’t use the cloud for storing and processing data. It does […]
Good Data Management=Happy Customers
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 computing, mobile devices, the Internet of things (IoT), and other technologies grow and evolve. To complicate matters, much of the data […]
The Intersection of Data Analytics and Data Governance
Are you suffering from data exhaustion? The symptoms can vary widely, but it generally stems from the unrelenting influx of data and your organization’s continued struggle to define a full-scale strategy to organize, understand and leverage that data for maximum advantage. There’s certainly no shortage of treatment options being marketed; whatever analytics and data management […]
How to Access, Consume, Use, and Act on Your Government Data to Drive Value
As organizations have accumulated data about their customers, prospects, and transactions, they are under increasing pressure to bring order to the otherwise chaotic world of enterprise data. Much of that pressure comes in the form of government data regulations, prompted by widespread concerns about security and privacy of consumers’ personally identifiable information. Equally important is […]
Understanding Data Quality in the Pharmaceutical Industry
Most data scientists do not manufacture drugs, and most pharmacologists are not also data scientists. Still, the pharmaceutical industry depends heavily on data scientists – especially when it comes to ensuring data quality. It’s no secret that pharmaceutical companies rely heavily on Big Data. These businesses use data to do everything from interpreting clinical findings to […]