The existence of data silos is nothing new. Data-producing applications were once isolated systems. They were built to at least partially automate a specific subtask of a business process. Today, data-based insights are being used to automate decisions. The goal is to make business processes faster, more efficient and less vulnerable to risk. Analytics-driven insights are also expected to drive business innovation.
This new BARC study evaluates current thinking around data silos and addresses several relevant questions, including:
- What are the implications of data silos for the data-driven enterprise?
- What are the main challenges companies are facing due to data silos?
- Which approaches are being adopted to break down the barriers of these data and knowledge silos?