For years, corporate leaders have been advised about the consequences of poor data quality. As organisations expand their use of artificial intelligence, addressing this issue is becoming increasingly important. Workiva’s 2026 Benchmark Survey Report, which surveyed nearly 1,500 executives across various departments, highlights these challenges.
The survey indicates that 62 percent of UK respondents have prioritised automating data collection and validation within their digital transformation agendas for 2026. A stronger focus on data governance is also reflected, with 20 percent identifying it as a key area.
Many organisations report allocating dedicated budgets and IT support to these initiatives. According to the survey, 84 percent are assigning specific funding, while 80 percent have involvement from IT teams in supporting these efforts.
Data fragmentation is identified as an ongoing concern. Without a consolidated view of data, business leaders may lack access to insights that inform decision-making, which can create operational and strategic risks. Inadequate data management may also contribute to regulatory and compliance challenges.
The survey shows that 44 percent of UK-based respondents experience barriers at work related to data issues. These include a lack of real-time data (20 percent) and restricted access across departments (24 percent). Such challenges can limit the role of data in decision-making processes.
Some organisations are investing in integrating disparate data systems and developing more unified reporting approaches. Efforts often include improving data quality and governance and enhancing collaboration across finance, technology and sustainability teams.
By consolidating data sources and standardising reporting, businesses aim to reduce risks associated with fragmented information and better manage potential challenges. This approach supports regulatory compliance, operational consistency and data-informed decision-making.
With data, AI and automation increasingly interconnected, organisations are considering unified data strategies as part of broader business planning. Establishing consistent data standards can help support operational visibility and informed growth as business environments evolve.
