Data Governance in the Digital Era: An Overview

Data governance plays a critical role in ensuring effective data management in an organisation. Businesses who invest in it are at a definite advantage over those who don't.

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The data that businesses deal with today is diverse. Managing this data efficiently is critical for making informed decisions, providing better customer experience and driving innovation. Hence, enterprises need to focus on creating modern data governance strategies that tackle current data challenges and convert it into a key asset that increases the efficiency of the business.

Data governance is a key component of data management. It is a holistic approach to managing, organising, monitoring, improving and leveraging data to create business value.

Data governance establishes the overall strategy for data management including the process of acquiring, organising, storing and utilising data throughout the data life cycle within an enterprise. It involves a set of practices, processes, procedures, policies and technologies to ensure that the data is accurate, consistent, available and secure. It also includes business process management and risk management.

The basic objectives of data governance are:

• Enhance the agility of informed business decisions

• Facilitate seamless knowledge sharing across the enterprise

• Eliminate ambiguity and foster trust in data assets

• Create value through collaboration within existing operational workflows

• Streamline adherence to security and privacy regulations

According to IDC, global data creation is expected to reach 175 zettabytes this year. As per a Gartner report, 60% of organisations will fail to realise the value of their AI initiatives due to weak data governance frameworks. In a survey of chief data and analytics officers (CDAO) in 2024 by Gartner, 89% of CDAOs agreed that effective data and analytics governance is essential for business and technology innovation.

Challenges in data governance