Data Governance

Data Governance

UW CISA symposium: The evolution of assurance services

In a data- and technology-driven economy, the evolving expectations of stakeholders will dramatically reshape the services CPA auditors are expected to provide. Read on to explore further and learn about upcoming discussions at the symposium.

A CPA’s role in ensuring trust in your data-sharing ecosystem

Are you ready for a world that's data-rich and where all decisions are data-driven? What role do CPAs have in finding new ways to harness vast quantities of data and establish new models of governance?

Supply chain security in uncertain times: Questions a board should ask

During uncertain times, the security of your supply chain is paramount. Help your board of directors in their oversight of company efforts to evaluate and reinforce supply chain resilience in the wake of major disruptions.

20 questions directors of not-for-profit (NFP) organizations should ask about a director’s duties

Directors of NFP organizations have various duties to their organizations and to themselves in terms of personal liability. Learn what the duties of loyalty and care encompass, and how to successfully fulfil them.

Data governance primer: Rising to the challenge of a data-driven world

Technological change is happening at breakneck speed. Global information is amassing, causing a huge surge in data. For CPAs, it’s a double-edged sword.

Corporate data policy and its elements

A data policy sets out guidelines to ensure an organization’s data is managed properly. Learn about data policies and the role CPAs can play.

Data governance: Is it on your board’s radar?

Organizations and their boards are facing an exponentially increasing amount of financial and non-financial data. Learn how your board can take advantage of the power and value of this resource.

Built-to-Evolve Data Can Help Transform Finance

Many organizations are undertaking efforts to transform their finance operations, including their ERP systems, calling attention to finance data models that may need rearchitecting. Historically, organizations often focused on building a finance data model, or an enterprise information model, that was designed to last. However, an increasing velocity of change in the global economy presents significant challenges for designing models that can be relevant a decade or even five years into the future.
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