This article on Data Matching was originally published on Dataversity by Harald Smith. Part 1 started with a background on data matching and how to get started. Ensuring business context Matching...
You want to make the most of your big data. However, data quality is paramount to achieving that goal. Implementing an effective data quality management program ensures that your data is of the...
Data is the most important resource your company owns. When your data quality is good, it’s a tremendous asset. But when your data quality is bad, it’s a serious liability. Anytime you’re...
There’s more data in the world than ever before, and there’s no sign of data generation slowing down. The volume, velocity, and variety of information is staggering. The information being...
The data in your Microsoft Dynamics system is the lifeblood of your sales cycle. When the data is complete and accurate, it’s an invaluable resource for engaging potential customers and guiding...
How do you enforce data quality best practices? A good place to start is your data governance strategy and policy, which should be designed with data quality goals front-and-center. To understand how...
Building a data infrastructure is one thing. Building one that is efficient, reliable and cost-effective is another. What can you do to optimize your data infrastructure and keep it running at peak...
You hear a lot about data quality these days. But much of the discussion focuses on data quality at a high level, without much attention to what data quality looks like in a real-world context. This...
To effectively run a business, you must have verified information for each of your contacts. Customer data quality is important to consider as you build and maintain your customer database....
