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:

ab initio logo

Collibra logo

Dataiku logo

Denodo logo

For a complimentary copy of the study, please click on the sponsor’s logo above or contact the sponsor directly.

Data Black Holes: A BARC Study

Authors: Jacqueline Bloemen & Timm Grosser

Published: June 22nd, 2021

Download links (via sponsors’ websites)
Download from Dataiku website
Download from Denodo website
– Download from Ab Initio website (link not available yet)
– Download from Collibra website (link not available yet)