Quality is the Missing Link in HealthLink’s Million+ Database

Melissa Team | Case Studies, Case Study, Data Cleansing, Data Quality, Data Quality Services | , , , , , , , ,

HealthLink depends on their data. And the company has a lot of it – it operates the largest multisourced database of active practicing physicians and allied health professionals. Their database helps the pharmacy, healthcare, medical device and insurance industries efficiently target their primary markets.

With so much data to collect and manage, HealthLink recognized it was critical to implement a solution that would clean and standardize all of its multisourced, multidimensional data – a daunting task to say the least.… Read More

Melissa Launches Druginator, Clinical Data Quality Powered by Machine Reasoning

Melissa Team | Big Data, Data Cleansing, Data Enrichment, Data Quality, Data Warehouse, Healthcare Data Management, News & Events, Press Release | , , , , , , , ,

Verify, Append, and Autocomplete Millions of Pharmaceutical Names, Variants and Dosages to Improve Clinical Data Integrity and Outcomes; Demos at Bio-IT World

Rancho Santa Margarita, CALIF – May 1, 2018 – Melissa, , a leading provider of global contact data quality and identity verification solutions, today announced Druginator, a new, tightly targeted element of its comprehensive data quality toolset to clean, harmonize, and connect disparate content sources for clinical insight and discovery.… Read More

Cleansing Your Data Using SQL Server 2012 Data Quality Services (DQS) and Melissa Data

Blog Administrator | Data Integration, Data Management, Data Quality, Data Quality Components for SSIS | , , , , ,

Check out this video featuring a step-by-step/start-to-finish approach to cleanse and enrich address data using the new SQL Server 2012 Data Quality Services (DQS), and Melissa Data’s Datamarket Address Check service. From the video, you will learn how to create a comprehensive Data Quality project that leverages Melissa Data’s deep experience in address verification to cleanse, verify and standardize postal address information in SQL tables and Excel spreadsheets.… Read More