Is Your Data Understood and Compliant? Here’s How to Fix It
Key Takeaways: Lack of shared data definitions, ownership, and built-in compliance creates risk and inefficiencies across your organization. Business-friendly governance and stewardship frameworks empower teams to trust, manage, and use data with confidence. Start small with clear roles, goals, glossaries, and workflows—and scale toward proactive, automated compliance and increased data visibility. Every organization relies on […]
What Will the CDO of the Future Look Like?
Dialogue on an Inevitable Transformation Imagining the world in 2050 is a fascinating exercise. What will be the impact on businesses and the roles within them? Here, we focus on the role of the Chief Data Officer (CDO) to understand its future evolution, transitioning from technical management to a hybrid role combining strategy, innovation, and […]
What is Data Integrity?
Key Takeaways: Data integrity is achieved when data has maximum accuracy, consistency, and context – giving you the power to trust your data and make better business decisions. The journey to trusting your data can be challenging, but you can more easily and effectively build data integrity when the core capabilities you need work together. […]
AI-Driven Data Integrity Innovations to Solve Your Top Data Management Challenges
Key Takeaways: New AI-powered innovations in the Precisely Data Integrity Suite help you boost efficiency, maximize the ROI of data investments, and make confident, data-driven decisions. These enhancements improve data accessibility, enable business-friendly governance, and automate manual processes. The Suite ensures that your business remains data-driven and competitive in a rapidly evolving landscape. Data-driven decision-making […]
Must-Know Data Integrity Trends for 2025
2025 Planning Insights: Data Governance Adoption Has Risen Dramatically
Key Takeaways: Interest in data governance is on the rise – 71% of organizations report that their organization has a data governance program, compared to 60% in 2023. Top reported benefits of data governance programs include improved quality of data analytics and insights (58%), improved data quality (58%), and increased collaboration (57%). Data governance is […]
5 Data Quality Best Practices
How to Power Successful AI Projects with Trusted Data
Key Takeaways: Trusted AI requires data integrity. For AI-ready data, focus on comprehensive data integration, data quality and governance, and data enrichment. A structured, business-first approach to AI is essential. Start with clear business use cases and ensure collaboration between business and IT teams for the greatest impact. Building data literacy across your organization empowers […]
AI Success – Powered by Data Governance and Quality
Key Takeaways: Data integrity is essential for AI success and reliability – helping you prevent harmful biases and inaccuracies in AI models. Robust data governance for AI ensures data privacy, compliance, and ethical AI use. Proactive data quality measures are critical, especially in AI applications. Using AI systems to analyze and improve data quality both […]
5 Key Benefits of Data Democratization: How Self-Service Data Can Improve Your Business
Key Takeaways: Data democratization is a process that gives virtually anyone in your organization the ability to understand data for better decision-making. Data democratization has immense benefits, like a 360° customer view, enhanced innovation, and streamlined internal processes. To fully take advantage of these benefits, you also need to keep compliance, security, and potential data […]
Best Practices for Effective Data Retention: A How to Guide
How compliant is your organization with the GDPR (General Data Protection Regulation) requirements that keep personal data only as long as needed for the purpose it was collected? How easily could you prove your compliance if audited? GDPR states that personal data must not be kept longer than the purpose for which it was collected and […]
Gain an AI Advantage with Data Governance and Quality
Key Takeaways Data quality ensures your data is accurate, complete, reliable, and up to date – powering AI conclusions that reduce costs and increase revenue and compliance. Data observability continuously monitors data pipelines and alerts you to errors and anomalies. Then, you can correct them before they’re introduced into an AI system. Data governance ensures […]