What Is Data Trust And Why Does IT Matter?
Dataversity, Tuesday, August 13th, 2024
A batch processing system fails on the eve of a company's deadline for monthly reports, threatening the accuracy of its financials. One of the two systems powering the dashboard of a global supply chain company crashes, and a manager overbooks a transport ship because it displays inaccurate data, causing a costly delay in a customer's shipment.
A simple change of a column name almost leads to more than 1,000 models powering an organization's dashboards, metrics, and reporting tables to fail at once.
These are three examples of what can happen when data consumers place their trust in data that is not trustworthy. The people in your company who create and maintain the data products that others use in their work are rightly concerned about ensuring the quality of the data. Data consumers also need to be able to trust the data's accuracy, reliability, timeliness, completeness, and relevance to the task at hand.