Data Governance trumps Big Data – lessons to learn from the NSA

Learn how data governance triumphs over big data in the case of Edward Snowden’s escape from Hong Kong. Discover how simple data quality errors in the extradition request allowed Snowden to evade capture. Find out why accurate data management is essential, even for organizations at the forefront of Big Data analytics


Edward Snowden’s escape from Hong Kong in June was aided by simple data quality errors in the extradition request put in by the United States government. According to Hong Kong officials, the National Security Agency got Snowden’s name wrong in documents it submitted seeking his arrest and omitted his passport number.

The time taken to clarify these errors gave Snowden the opportunity he needed to board a flight to Moscow, where he has been granted refugee status.

Even the best organisations get data management wrong

It is ironic that an organisation that is at the forefront of Big Data analytics could fail to deliver accurate and complete data for a seemingly simple task. Yet. all too often, new technologies and hype take precedence over basic business improvement.

Surely, from a data governance perspective, ensuring accurate and complete identification of staff with access to sensitive information should be a priority?

This is a great example of how poor data quality breaks business processes, in this case with embarrassing results.

Many data governance programmes suffer from being too complex and, largely, irrelevant. Getting the basics right, with our Lean Data Governance approach, is essential to minimising risk and maximising the value of information

Response to “Data Governance trumps Big Data – lessons to learn from the NSA”

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