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 […]
Data Integrity vs. Data Quality: How Are They Different?
Data can be your organization’s most valuable asset, but only if it’s data you can trust. When companies work with data that is untrustworthy for any reason, it can result in incorrect insights, skewed analysis, and reckless recommendations to become data integrity vs data quality. Two terms can be used to describe the condition […]
Build the Context You Need Around Your Data
Chances are, we’ve all heard the story of the lighthouse and the naval vessel, in which the captain of a large ship sees a light in the distance and transmits a command that the smaller vessel give way. After several refusals, the commanding officer angrily transmits: “I am a battleship.” The response comes quickly: “I’m a […]
Trust Your Data: Building a Culture of Data Integrity
Data professionals typically regard their area of expertise as fitting squarely within the domain of hard science. After all, it’s centered around knowable facts. Even subjective information, such as customer satisfaction metrics, is ultimately rooted in a fact-based understanding of quantifiable human reactions to a product or service. It should presumably be relatively easy to […]
Why Data without Context Lacks Integrity
You’re likely familiar with the oath witnesses must take to tell “the truth, the whole truth, and nothing but the truth.” It’s clear why “the whole truth” is included in that promise. When someone gives you only part of the story, it can distort your understanding of the facts. At best, you get an incomplete […]