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 […]
Claims Processing with Generative AI: Making Sense of the Data
Insurance industry leaders are just beginning to understand the value that generative AI can bring to the claims management process. By harnessing the power of machine learning and natural language processing, sophisticated systems can analyze and prioritize claims with unprecedented efficiency and timeliness. They can ingest information as soon as it becomes available, summarize lengthy narrative […]
Your Guide to Unlocking Trusted AI with Reliable Data
What if every decision, recommendation, and prediction made by artificial intelligence (AI) was as reliable as your most trusted team members? This isn’t a distant dream – it’s a tangible reality with trusted AI. From enhancing decision-making and productivity to delivering personalized customer experiences and sparking innovation, trusted AI is your key to gaining a […]
Data Integrity Trends for 2024
In 2023, organizations dealt with more data than ever and witnessed a surge in demand for artificial intelligence use cases – particularly driven by generative AI. They relied on their data as a critical factor to guide their businesses to agility and success. When we look at data integrity trends for 2024, agility remains a […]
Data Quality Trends for 2024
The demand for trusted data is at an all-time high. This was made resoundingly clear in the 2023 Data Integrity Trends and Insights Report, published in partnership between Precisely and Drexel University’s LeBow College of Business, which surveyed over 450 data and analytics professionals globally. 77% of respondents cited data-driven decision-making as the leading goal […]