Must-Know Data Integrity Trends for 2025
2025 Planning Insights: Skills and Resource Shortages Impede AI Adoption and Data Program Success
The 2025 Outlook: Data Integrity Trends and Insights report is here! What are the latest data integrity trends you need to know about? How does your data program compare to your peers? Find out in the report, published in partnership between Precisely and Drexel University’s LeBow College of Business. This year’s report is filled with […]
2025 Planning Insights: Data Enrichment and Location Intelligence Emerge
The 2025 Outlook: Data Integrity Trends and Insights report is here! Precisely was proud to partner once again with Drexel University’s LeBow College of Business on this report, which is filled with actionable strategic insights from over 550 leading data and analytics professionals worldwide – and it’s going to be an essential resource as you plan your […]
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 […]
Expert Insights for Your 2025 Data, Analytics, and AI Initiatives
Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. A long-term approach to your data strategy is key to success as business environments and technologies continue to evolve. The rapid […]
Understanding Master Data Management (MDM) and Its Role in Data Integrity
Key Takeaways: MDM delivers a unified holistic view of your data across domains, so you can make faster, more accurate decisions. Challenges around data literacy, readiness, and risk exposure need to be addressed – otherwise they can hinder MDM’s success Businesses that excel with MDM and data integrity can trust their data to inform high-velocity […]
2025 Planning Insights: The Rise of AI is Hampered by a Lack of Data Readiness
Key Takeaways: Only 12% of organizations report their data is of sufficient quality and accessibility for AI. Data analysis (57%) is the top-cited reason organizations are considering the use of AI. The top data challenge inhibiting the progress of AI initiatives is data governance (62%). The 2025 Outlook: Data Integrity Trends and Insights report is […]
Elevating Trust: Unveiling the New Precisely Trust Center
In an era where digital trust has become the cornerstone of meaningful relationships, Precisely is excited to announce the launch of our new Trust Center – a dedicated hub designed to reinforce our commitment to transparency, security, responsible use of AI and data privacy. Here’s what you should know about what this means for our […]
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 […]
4 Key Trends in Data Quality Management (DQM) in 2024
Key Takeaways: • Implement effective data quality management (DQM) to support the data accuracy, trustworthiness, and reliability you need for stronger analytics and decision-making. • Embrace automation to streamline data quality processes like profiling and standardization. • Develop standardized processes to quickly identify and fix data issues, maintaining integrity and compliance. How confident are you […]
Modern Data Management Essentials: Exploring Data Fabric
Key Takeaways Data Fabric is a modern data architecture that facilitates seamless data access, sharing, and management across an organization. Data management recommendations and data products emerge dynamically from the fabric through automation, activation, and AI/ML analysis of metadata. While data fabric is not a standalone solution, critical capabilities that you can address today to […]
Demystifying Data Mesh
Key Takeaways Data Mesh is a modern data management architectural strategy that decentralizes development of trusted data products to support real-time business decisions and analytics. While a data mesh empowers domains with greater autonomy and innovation through human expertise, greater capabilities are needed by domain teams to properly access, organize, and govern data products. Preparing […]