Hidden Costs of Manual Fulfilment: Data Subject Requests

The Iceberg of Hidden DSARs Costs

In the modern digital landscape, the importance of data management cannot be overstated. As a business, being able to handle and process data in an efficient and compliant manner is critical. One of the most significant aspects of data management is fulfilling Data Subject Access Requests (DSARs). A DSAR is a request addressed to an organisation that allows individuals to access information about personal data the organisation is processing about them. But what are the hidden costs that lurk beneath the surface when handling these requests manually? And how can we unlock these costs for better, more efficient fulfilment?

When it comes to the manual fulfilment of DSARs, the apparent costs might seem manageable, but the hidden costs are often far more significant. Like an iceberg, the majority of these costs lie beneath the surface, invisible at first glance but enormous and impactful nonetheless. According to RF Code, factors such as relocating and replacing misplaced data assets and asset inventory reconciliation can quickly add up to over $700,000 a year in a large network of data facilities.

These hidden costs are incurred due to the inefficiencies of manual processes. In an era where over 2.5 quintillion bytes of data are created every day, companies struggle to maintain manual processes that are effective for gaining meaningful insight from their data. By the time data can be collected, documented, tied to meaningful metadata and catalogued for management, it has already become outdated and unreliable, leading to a loss of its value.

The Pitfalls of Manual Data Subject Request Fulfilment

Manual processes turn your data into the shiny new car that you drive off the lot — and immediately lose money on. Manual metadata management is insufficient for highly regulated actions like data rights fulfilment, is hard to reconcile across lines of business, and requires vast technical knowledge and internal expertise. Manual data curation is also slow, which allows data to become stale, and human efficiency and productivity simply don’t keep up with the pace at which data is created.

The Dawn of Automation

In the face of these challenges, a shift towards automation and machine learning (ML) appears to be the solution. Machine learning can help organisations capture and contextualize metadata in a catalogue, scale tens of thousands of data sources, automatically detect and reflect changes, and shift slow manual data curation into simplified data valuations. ML normalizes data collection and analyzes data across multiple dimensions at once, actively monitoring data for consistency, accuracy, completeness, and validity — for tens of thousands of data sources, across different types of data.

Togggle - Revolutionizing Data Fulfilment With Performant

Togggle is one such platform that has recognized the value of automation and machine learning in data management. Togggle's modular solution, designed to be tailored to any requirements, offers an unrivaled level of personal identifying information (PII) security and efficiency in data management.

Togggle's goal is to create a secure future with digital identities replacing physical documents, helping businesses comply with Anti-Money Laundering (AML) and Know Your Customer (KYC) regulations across countries,and prevent fraud by eliminating document forgery, identity spoofing, and money laundering.

By using Togggle's Identity Verification Solution, businesses can streamline their one-click KYC workflows and benefit from reusable credentials that offer flexibility and compatibility. This leads to a reduction in the hidden costs associated with manual data management and provides a more efficient, sustainable, and ethical approach to data governance.

As data governance needs to shift from inefficient manual processes that prevent teams from capturing and leveraging the value of their data, solutions like Togggle are paving the way for a new era of data management and governance. By modernizing data governance programs and generating a single catalogue view of all related metadata, businesses can surface deep metadata insights that were once impossible using traditional data management tools.

The Future of Data Management

The future of data management is clearly trending towards automation. With technologies based on machine learning, businesses can optimise data ingestion, accuracy, and contextualisation for billions of objects versus millions. They can gain insight into what data they have, where it resides, what it contains, and who it belongs to — and then map and tie that to the right metadata. By replacing manual curation with ML-augmented validation, businesses can save time and cost while also reducing the risk associated with data privacy and protection regulations.

Moreover, companies can reimagine data management by letting machines do what they do best — read, interpret, and manage their metadata and data governance efforts. This allows businesses to make their data actionable rather than passive and have a choice in how they want to act on it.

The hidden costs of manual DSAR fulfilment are significant, but they can be effectively managed and reduced with the right approach. As we move towards a future of increased digitalization and data growth, the need for automated, efficient, and secure data management becomes increasingly clear.

Togggle is leading the way in this transformation, offering a powerful, flexible solution that reimagines the future of personal data management. By providing secure and reusable digital credentials, Togggle is helping businesses unlock the hidden costs associated with the manual fulfilment of DSARs, and drive efficiency and performance in their data management efforts.

The key to unlocking data subject requests and mitigating the hidden costs of manual fulfilment lies in embracing the power of automation and machine learning. As businesses adapt to this new era of data management, they will be well-positioned to navigate the complexities of data governance, enhance their operational efficiency, and, ultimately, unlock the full potential of their data.

Are you ready to unlock the future of data management with Togggle? Get in touch with us today for a free demo!