The Costs of Toxic Data – And How to Avoid Them

Many organizations unknowingly harbor "toxic data" – including old files, incorrect customer information, and over-retained PII – which incurs significant costs and risks. This data hinders effective decision-making, increases vulnerability during breaches, and impedes the implementation of AI and data-driven revenue generation. A recent study revealed a $14 billion global loss due to data integrity flaws, while organizations with clean data practices experienced revenue and profitability growth.

The challenge lies in identifying and addressing toxic data, which can manifest in various forms like outdated emails, multiple document versions, and data from emerging sources like instant messaging. Organizations often discover the extent of the problem during new technology implementations or legal challenges. Addressing this requires a data inventory, reviewing retention policies, and enforcing data governance.

To create a sound data environment, companies should involve stakeholders from legal, IT, and compliance departments. A proactive approach, including potentially creating a separate 'clean' data warehouse, can transform toxic data into a valuable asset, driving profitability and growth. Ignoring the issue can lead to significant risks and hinder AI strategies.

(Source：Infosecurity Magazine)