Improve Data Quality in Azure with No Learning Curve
Learn how to improve data quality with Melissa’s Data Quality tools for effective ETL processes on-premises and in the cloud.
Data Cleansing for Validation
Learn about SQL Server Data Cleansing for Validation with various techniques.
Data Quality Testing
In this article, we look at ways data professionals can think about Data Quality and some methods for data quality testing.
Enabling Critical Decision-Making with Valuable Data Insights
Learn about the Melissa Marketplace, a rich data catalog comprised of exceptionally accurate data products for industry and business needs.
Accurate Data for Decision Making – How to Improve Business Insights
Learn how to improve your SQL Server data, analytics and decision making with curated and gold-standard reference data directly accessible in SQL Server.
Real Time Data Verification
Real time decision making is a necessity in many industries, but it has come under scrutiny with many cases related to fraud, money laundering and financial losses. Determining the legitimacy and risk profile of counterparties is imperative. Register for this webcast for live technical demonstrations on how to protect your organization from fraud and financial losses while also improving its reputation and trustworthiness.
Advanced SQL Data Profiling with Unison
In the age of data-driven insights, the quality and reliability of your data can make all the difference. Join us in this webinar as we delve into the profiling capabilities of Unison by Melissa Data. This webinar is your gateway to harnessing the power of Unison and SQL Server to effortlessly produce advanced profile metadata for better insight.
Know Your Business Data Verification Solution
Meet Know Your Business rules with Melissa Personator Identity Global to prevent fraud or money-laundering and meet legal regulations.
Data Wrangling in SQL Server Examples
Learn about data wrangling which can be time-consuming and complex, as it entails cleaning, transforming, and merging data from diverse sources.
Data Wrangling in SQL by Imputing Missing Values using Derived Values
In this article we continue our series on data wrangling and different ways to derive values for missing data points in a dataset.
Learn basics of Data Wrangling in SQL Server to handle Invalid Values
In this article we cover the topic of data wrangling which is steps you can take to cleanup and validate data prior to data analysis.