Data silos, which are effectively isolated data repositories within an organization, are one of the most common data management problems. They create barriers to information sharing and information use in general, hindering business performance by adding friction to collaboration, decision-making, and business operations. This sand in the gears of business processes is so common that it can become invisible, but it comes with real costs.
Inaccessible data means that analytics are based on an incomplete data story, that AI training models are missing relevant information, and that personalization is limited or incorrect because it doesn’t include important aspects of customer profiles. Data that exists but is inaccessible to the people who need it doesn’t add value to a business.