[WEBINAR] Integrating Matching in SQL Server with MatchUp

Cassidy Littleton | Data Matching, Deduping, Matching, SQL Server Integration Services | , ,

Does this sound familiar? You just removed the duplicate data from your database. You’re ready to add real-time or scheduled inserts but you don’t want to go through the hassle of re-processing every record. Now, you don’t have to. Melissa’s MatchUp Object gives you the ability to perform the same advanced matching as batch processing through a set of CLR functions called directly from SQL Server and flag records already in your database.… Read More

Benefits of a Single Customer View

Melissa UK Team | Analyzing Data Quality, Data Matching, Deduping, Duplicate Elimination, United Kingdom

What is a single customer view?

A single customer view, also known as a 360 view on your customers is a method of consolidating all the data you have on your prospects or customers which may be of entered into your systems from various channels and merging it into one single record.

Most companies will experience this problem of having scattered information of the same customer which is why matching and merging your customer data into one consolidated record will enable a powerful view demographically, as well as the actions they may have performed over mobile, online, and offline.… Read More

CRM Maintenance: A Step by Step Guide on How to Clean & Maintain your CRM Database

Melissa UK Team | CRM, Data Audit, Data Cleansing, Data Enhancement, Data Enrichment, Data Management, Data Matching, Data Quality, Data Quality Services, Deduping, Email Verification, Global Address Verification

As many of you know, a customer relationship management (CRM) platform is a vital part of the sales process, which entails keeping customers and prospects happy while moving them through the CRM pipeline. But many businesses forget the role CRM plays in the entire customer life cycle.

CRM platforms can be used for continuous communications with current and potential prospects and are playing a vital role across all sectors.… Read More

Your Deduplication Processes May be Leaving You at Risk for GDPR Fines

Melissa Team | Article, Data Audit, Data Matching, Data Quality, Duplicate Elimination, Fuzzy Matching, GDPR, Global Business, Global Data Quality, Identity Resolution | , , , , , , , , ,

Once-trusted fuzzy matching algorithms may be leaving your organization vulnerable to hefty GDPR fines. The balancing act of false-positives and false-negatives in single customer view (SCV) systems used to favor the false-negative side, with near negligible error results. However, the standard of that balancing act has now been redefined by the GDPR regulations. Find out how GDPR has moved the “match” goalposts, how to test your SCV platform, and what you need to do to keep your organization GDPR compliant.… Read More