At 38%, Singapore's redundant, obsolete, or trivial (ROT) data is 5% worse than the global average of 33%, according to the new Veritas Global Databerg Report.
Both USA and Singapore are in a mid-range position with 54% and 53% of their respective data being designated as unknown.
"There is an immediate need for organisations in Singapore to take control of their Databerg and identify business value and risk. Today, only 14% of organisations in Singapore do so," said Chris Lin, Veritas' senior vice president & APJ sales leader. "Data needs to be classified based on the organisation's data retention policy and there is a growing demand for an effective information journey for dark data to be implemented."
Globally, IT leaders consider just 15% of all stored data to be classified as business critical information.
The highest proportion of clean and identified business critical data was found in China (25% clean), Israel (24% clean) and Brazil (22% clean).
The worst dark data offenders are Germany, Canada and Australia with 66%, 64% and 62% of their respective stored data defined as dark.
52% of all information currently stored and processed by organisations across the world is 'dark' data, or data whose value is unknown.
Another 33% of data is considered obsolete, and is not of any use to the organisations.
The report indicates that if this issue is not addressed, this obsolete business data will cost organisations around the world about US$3.34 trillion to manage by 2020.
"Understanding and acknowledging that a data hoarding culture exists is a first step in addressing the problem," added Lin.
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