Cloud Data Connect Data Matching Wizard

Hello Product Hunters! For a quick, step-by-step walkthrough tutorial (six steps), visit https://blog.interzoid.com/entri... There have been data quality products available for decades, yet untrustworthy, inconsistent, inaccurate, and duplicate company names and individual names in important data assets continues to plague organizations. Gartner estimates the cost to be $15 million annually USD per company as a result of "dirty data". Many rely on manual data cleansing techniques or utilize dated, complex, and costly software tools to try to address these issues, often spending weeks or more only to fall short. What's exciting are the advancements Generative AI brings to the table to help tackle these challenges, dramatically enhancing the algorithms that recognize data similarity at the data content level. This is a significant challenge to solve, especially as datasets grow in size. Now, In just a few easy clicks, you can connect to top Cloud databases, CSV/TSV text files, and Excel spreadsheets. You can run match reports, identify inconsistent/non-normalized data, discover hard-to-find duplicate data, append similarity keys for increasing match rates across datasets, create new database tables with cross-referenced similarity keys for smart matching, and more (free tier available to get started). Resolving these issues can be the primary reason for success or failure of data-driven initiatives such as Analytics, Business Intelligence, AI/ML applications, Operations, CRM/Marketing, and beyond. The Cloud Data Connect Matching Wizard is built on top of our API platform, which in turn is built upon our SmartMatchAI matching technology. This state-of-the-art matching technology utilizes Generative AI, Machine Learning, specialized algorithms, and extensive knowledge bases to identify and discover inconsistent, matching, and otherwise redundant data either within or across datasets. You can point it to popular databases such as PostgreSQL, MySQL, AWS RDS/Aurora, Google Cloud SQL, Azure SQL, Snowflake, Databricks, and many more, and start generating match and data anomaly reports in minutes. With text files or Excel files, you can access them over the Cloud (stored in AWS S3 for example), or they can be accessed from your local machine. You can quickly spin through many files on the hunt for bad data. We can't wait to hear your feedback! Cheers, The Interzoid Team

You're tackling a vital issue with precision and innovation! Using Generative AI, Machine Learning, and specialized algorithms to match, cleanse, and normalize strategic data is a powerful approach. Your step-by-step UI that works with both Cloud databases and local files is a brilliant touch. Keep up the incredible work in enhancing data integrity! 🌟