Data Black Holes – Are Data Silos Undermining Digital Transformation?

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 study explores the following questions

  • – 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?

Sample and related content

The study is based on a worldwide online survey of 318 companies of varying sizes across a range of industries.

The report is sponsored by:

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Data Black Holes: A BARC Study

Authors: Jacqueline Bloemen & Timm Grosser

Published: June 22nd, 2021