This effort is being pushed forward with work in the linked open data (LOD) field. As LAMs have become comfortable with putting their collections online, others have capitalized on the ability to aggregate metadata using collection harvesting standards such as OAI-PMH/ORE and SWORD, discovery ...
One item that was touched on briefly was the downstream reuse of the data for "other" applications. In this case, it is important for a developer to not only enforce constraints for the initial data but also to realize how the data could be used in a data warehouse environment. This beco...
There is so much more data can do. The better quality data a company has, the more successful it is likely to be. This is where data integrity becomes key. Business leaders ask, "What is data integrity exactly, and why is having clean and relevant data so important for my business?" ...
Data curation is a term that has recently become a common part of data management vocabulary. Data curation is important in today’s world of data sharing and self-service analytics, but I think it is a frequently misused term. When speaking and consulting, I often hear people refer to data...
Next, let’s look at the following question through a corporate lens: “Why is it important to have accurate data?”. Modern businesses are integrating data into more and more of their operations. While this carries the promise of greater competitive advantages if done correctly, it also means...
Why Is Data Differentiation Important? 4 Reasons Why Data Differentiation Matters Data has become an essential asset for businesses, driving critical decisions and operations. The year marks a significant transition into using data as a differentiator. To celebrate this data-driven mindset, we created...
set of standards and policies for the collection, storage, and sharing of information. By ensuring that all data is consistent, trustworthy, and free from misuse within every company department, managers can guarantee compliance with important regulations and reduce the risk of the business being ...
However, it’s important to understand what we’re collecting and how that data is managed and classified. Companies must also be able to interpret the data and turn it into information that can be used in order to improve operations, increase sales and grow the business. ...
Data integrity also focuses more on unchanged data over the span of its lifecycle. By considering data integrity, your business can use good quality data to help stakeholders make informed decisions that apply over the long term. Why is data quality important? When data quality is defined as ...
Why is data integrity important? Where traditional businesses often focused on the construction and distribution of physical products, today's businesses typically prosper through the delivery of digital products and services. This transition demands an enormous amount of data, which has become the new...