what does accenture help businesses implement to ensure their data is trustworthy and reliable?

Accenture helps businesses ensure their data is trustworthy and reliable through a comprehensive approach centered on three key principles: provenance, context, and integrity. They implement solutions that verify the history of data throughout its lifecycle (provenance), consider the situation in which data is used (context), and maintain ongoing security and accuracy of data (integrity). Accenture assesses the data landscape for quality, risk, and relevance, producing a "veracity score" to quantify trust in enterprise data. They also use privacy-preserving techniques such as federated learning, confidential computing, and synthetic data generation to protect data privacy and security, especially in sensitive sectors like healthcare. Additionally, Accenture invests in confidential AI and data solutions to enable enterprises to use sensitive data securely for AI-driven insights without compromising privacy or regulatory compliance. This includes using technologies that ensure secure data sharing with verifiable audit trails and governance frameworks that embed company values into algorithms, promoting accountability and transparency. Overall, Accenture helps businesses implement data governance, secure data platforms, privacy-preserving data cooperatives, trustworthy AI foundations, and data literacy programs to build confidence and ensure data trustworthiness and reliability across the organization.