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Posted by Phil Alsop on 26 February 2026 at 8:53 am
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For years, corporate leaders have been warned about the consequences of poor data quality. As we advance further into the age of artificial intelligence, addressing this issue becomes increasingly urgent. Workiva’s 2026 Benchmark Survey Report, which surveyed nearly 1,500 executives across various departments, sheds light on these pressing challenges.

Automation Takes Centre Stage

The survey reveals that 62 percent of UK respondents have prioritised automating data collection and validation in their digital transformation agendas for 2026. This is supported by a strengthened focus on data governance, which 20 percent also identified as a key area.

Crucially, many organisations are assigning dedicated budgets and IT support to drive this transition. In fact, 84 percent are allocating specific funding, while 80 percent benefit from IT's involvement in these initiatives.

Emerging Threats of Data Fragmentation

Data fragmentation is becoming a significant concern. Without a unified data view, business leaders miss out on strategic insights necessary for informed decision-making, leading to potential business risks. Inadequate data management can not only result in poor decisions but also expose businesses to regulatory and compliance issues.

The survey highlights that 44 percent of UK-based respondents face barriers at work due to data issues. These obstacles range from a lack of real-time data (20 percent) to restricted access across departments (24 percent). Such disconnects undermine the strategic influence of data in decision-making processes.

Proactive Steps for Unified Data Systems

Many forward-thinking leaders are mobilising resources to integrate disparate data systems and foster a unified approach to reporting. These leaders emphasise investing in data quality and governance while also bridging interactions among finance, technology, and sustainability teams.

By consolidating data sources and standardising reporting, businesses aim to mitigate the risks associated with fragmented data and anticipate future hurdles. This strategic alignment is deemed critical for maintaining regulatory compliance, streamlining operations, and cultivating a culture of data-driven decision-making.

The Road Ahead for Business Leaders

Recognising the intersection of data, AI, and automation, leaders are tasked with championing a unified data approach as a critical business strategy. By creating a single source of truth within their organisations, they can enhance operational resilience, drive strategic initiatives, and position their companies for informed growth.

Aligning on data standards isn't just about technology—it's about transforming the way organisations use information to predict, react, and thrive in an ever-evolving business landscape. As businesses move towards 2026, those who succeed will be those who view data governance as a strategic enabler rather than a technical issue.