Clearing the haze: Hidden costs of data ambiguity
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Michael Irene is a data and information governance practitioner based in London, United Kingdom. He is also a Fellow of Higher Education Academy, UK, and can be reached via moshoke@yahoo.com; twitter: @moshoke
April 16, 2024321 views0 comments
Picture yourself in an old bookshop, its shelves brimming with ancient tomes whose stories have been lost to time. The shopkeeper gestures to a dusty volume, its contents a mystery. You’re intrigued but cautious — what secrets lie within? Such is the conundrum faced by many in the digital age, where opaque data practices lead to an uptick in operational compliance costs, causing a great deal of consternation for businesses worldwide.
In an era where organisations amass substantial amounts of user data, clarity on the collection and usage of this information is often missing. This obfuscation has led to soaring operational compliance costs, particularly as regulations such as the EU’s General Data Protection Regulation (GDPR) and the UK’s own Data Protection Act come into sharper focus.
These regulatory frameworks emerged as a direct counter to the murkiness of organisational data practices. Yet, achieving compliance with these regulations is far from straightforward. For instance, a globally renowned social media giant was fined £3.9 billion by the Federal Trade Commission due to privacy missteps. This record-breaking fine illustrates the gravity of transparent data handling and the financial repercussions of noncompliance.
The pandemic further complicated matters, hastening the adoption of digital platforms. Contact tracing apps, essential in monitoring COVID-19 spread, came under intense scrutiny over data management concerns, prompting audits against health data protection standards like HIPAA in the US and GDPR in the EU.
The financial sector, too, faces this complexity. With an upsurge in online banking services, financial institutions find themselves at the intersection of increased personal data collection and the maze of compliance with financial regulations like the Financial Services and Markets Act or the PCI DSS, all adding to the compliance expenditure.
In response, companies have turned to GRC (governance, risk management, and compliance) technologies. These platforms offer some respite by monitoring regulatory updates and managing data lifecycles. However, they represent a significant operational outlay, particularly burdensome for small and medium-sized enterprises (SMEs).
For consumers, the lack of clear data collection policies has led to growing unease. Findings from the Pew Research Centre indicate that an overwhelming 79 percent of individuals are troubled by company data utilisation practices. This discomfort can translate into hesitation to use digital services, impacting corporate revenues and necessitating additional spend on compliance and reputation management.
Businesses must now strike a delicate balance between harnessing data for growth and maintaining transparent practices to meet compliance and gain consumer trust. Those that foreground transparent data policies not only find compliance less burdensome but also cultivate more robust customer relationships.
In essence, the ramifications of obscure data practices are manifold, affecting organisations through hefty penalties, elevated compliance-related operational costs, and eroded customer trust. As the tapestry of regulatory demands grows ever more intricate, transparency in data collection isn’t merely a legal requirement — it’s a strategic asset. Companies that recognise and act on this imperative will not only sidestep the pitfalls of non-compliance but also engender a more devoted and engaged customer base. The haze of data opacity, while challenging, may just clear the path to a new epoch of digital candour that serves the interests of all.
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