Table of Contents Why Data Quality Can’t Be an Afterthought How Does 4DAlert’s Integrated MDM and Data Quality solution deliver a smarter solution? The Bottom Line Author Prachi Sharma Solution Analyst, 4DAlert When organizations talk about fixing their data problems, the first thing they often turn to is Master Data [...]
Table of Contents How Data Goes Wrong: Risks in the Processing Journey Not All Data Quality Solutions Are Created Equal – What to Watch For Can It Benchmark Your Current State? Does It Track Quality Over Time? Will It Alert You Before Issues Impact Business? Does It Go Beyond Basic [...]
Table of Contents What Makes Data Quality Important? Ensure Better Data Quality with Data Observability Author Mansi Raghav Solution Analyst, 4DAlert High-quality data is essential for making accurate business decisions that drive success. While several tools and strategies help businesses access timely data, there’s still a growing need for mechanisms [...]
Table of Contents Develop a criteria for perfect data Have a dedicated team to maintain and store these rules Benchmark the criteria Measure continuously Set up Data Quality alerts Go beyond simple checks Automate with AI/ML Author Nihar Rout Managing Partner 4DAlert Perfect data doesn’t exist — but with automated [...]
Business Use case A large Electronic manufacturing company with an annual USD 35 Billion revenue has approximately 3,000 database objects in its Snowflake platform. The company has data analytics development teams working on various business priorities from multiple locations in an agile fashion. Based on different business priorities, and other [...]