Data Warehouse | Global Intelligence Blog

April 8, 2019April 4, 2019 Author Case Studies, Case Study, Data Quality, Data Quality Components for SSIS, Data Warehouse, Global Data Quality

CalOptima Deploys Data Warehouse with Melissa’s Help

Find out how CalOptima successfully deployed a data warehouse with the help of Melissa’s easy-to-integrate Data Quality Components for SQL Server to turn such a tremendous undertaking into a simple task. CalOptima, a county organized health system, serves more than 400,000 members, making it the second largest health insurer in Orange County, CA. CalOptima embarked on a mission to migrate…

May 15, 2018 Melissa Team Big Data, Data Quality Services, Data Steward, Data Warehouse, Developer Portal, Global Data Quality, Melissa Developer, News & Events, Press Release

Melissa Launches Melissa Developer, Full-Service Portal for Rapid Application Development

Comprehensive Tools and Resources Fuel Growth and Scalability, Enable Easy Application Integration of Data Cleansing and Enrichments Rancho Santa Margarita, CALIF – April 25, 2018 – Melissa, a leading provider of global contact data quality and identity verification solutions, today announced Melissa Developer , a comprehensive portal with ready-to-use APIs (application program interfaces) that support the development community with easy integration of data quality…

May 15, 2018April 5, 2021 Melissa Team Big Data, Data Cleansing, Data Enrichment, Data Quality, Data Warehouse, Healthcare Data Management, News & Events, Press Release

Melissa Launches Druginator, Clinical Data Quality Powered by Machine Reasoning

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,…

May 1, 2017April 5, 2021 Blog Administrator Data Governance, Data Integration, Data Management, Data Matching, Data Quality, Data Quality Components for SSIS, Data Steward, Data Warehouse, Duplicate Elimination, Fuzzy Matching, Golden Record, Householding, Identity Resolution, Record Linkage, SQL Server Integration Services, SSIS, Survivorship

Record Matching Made Easy with MatchUp Web Service

MatchUp®, Melissa's solution to identify and eliminate duplicate records, is now available as a web service for batch processes, fulfilling one of most frequent requests from our customers - accurate database matching without maintaining and linking to libraries, or shelling out to the necessary locally-hosted data files. Now you can integrate MatchUp into any aspect of your network that…

May 1, 2017April 5, 2021 Blog Administrator Analyzing Data, Analyzing Data Quality, Big Data, Data Cleansing, Data Governance, Data Integration, Data Management, Data Matching, Data Migration, Data Profiling, Data Quality, Data Warehouse, FinTech, Identity Resolution

Know Your Customer Compliance Boosted by Tech Innovations

Fintech breakthroughs that identify,validate and augment customer data help financial services organizations head off fraud, operate within the rules One of the most pressing issues facing the financial services industry today is the prevailing emphasis on security and fraud prevention. Big data and analytics are leveraging the power of the Internet, but also offering big, juicy plums for hackers,…

May 1, 2017 Blog Administrator Analyzing Data, Analyzing Data Quality, Big Data, Data Cleansing, Data Enhancement, Data Enrichment, Data Governance, Data Integration, Data Management, Data Matching, Data Profiling, Data Quality, Data Warehouse

Meet Melissa: Global Intelligence

Melissa Data is officially now Melissa. As we welcome our 32nd year in business, we are excited to announce an important change at Melissa Data. We've decided to drop the "Data" from our brand identity. We are simply Melissa now. This is part of a new branding effort to reflect Melissa's growth, and more importantly, the changes in the…

March 17, 2015 Blog Administrator Address Quality, Address Validation, Address Verification, Analyzing Data, Analyzing Data Quality, Data Management, Data Profiling, Data Quality, Data Quality Components for SSIS, Data Warehouse, MDM, Press Release, SQL Server Integration Services

Melissa Data Completes the Data Quality Circle with Addition of Profiler Tool for SQL Server Integration Services

Flagship SSIS Developer Suite Now Enables Data Assessment and Continuous Monitoring Over Time; Webinar Adds Detail for SSIS Experts Rancho Santa Margarita, CALIF - March 17, 2015 - Melissa Data, a leading provider of contact data quality and address management solutions, today announced its new Profiler tool added to the company's flagship developer suite, Data Quality Components for SQL Server…

September 9, 2014 Blog Administrator Address Check, Address Correction, Address Quality, Address Validation, Address Verification, Analyzing Data, Analyzing Data Quality, Data Cleansing, Data Management, Data Matching, Data Quality, Data Warehouse, Duplicate Elimination, Golden Record, Healthcare Data Management, Press Release, SQL Server Integration Services, Survivorship

Melissa Data Helps Improve Quality of Care through a Single View of the Patient

New Company Magazine Features Data Quality Insights on Merging Duplicate Patient Records into a Golden Record, also Tips on Improving Healthcare Data Warehousing Rancho Santa Margarita, CALIF. - September 9, 2014 - Melissa Data, a leading provider of global contact data quality and data enrichment solutions, today announced matching and de-duping functionality that solves duplicate records for healthcare database administrators…

February 12, 2014April 5, 2021 Blog Administrator Address Quality, Analyzing Data, Analyzing Data Quality, Data Quality, Data Warehouse

Justifying Data Quality Management

By David Loshin Last week I shared some thoughts about a current client and the mission to justify the development of a data quality program in an organization that over time has evolved into one with distributed oversight and consequently very loose enterprise-wide controls. The trick to justifying this effort, it seems, is to address some of the key issues…