What is Data Profiling and Why Profile Your Data?

Melissa IN Team | Data Profiling | , , ,

Many times the presumptions regarding the data that we store and provide are not always precise. Despite taking all necessary precautions our systems are not always totally free of bugs. As a result, the quality of data provided gets compromised and this could lead to several negative outcomes.… Read More

Melissa Automates Clean Data Processes with Intuitive Customer Data Validation Platform

Melissa Team | 2020, Address Check, Address Correction, Address Standardization, Address Verification, Data Matching, Email Verification, Geocoding, Press Release, Unison

Unison reduces strain on SQL developers by empowering data stewards to manage operations – no programming expertise required

Rancho Santa Margarita, CALIF – November 4, 2020 – Melissa, a leading provider of global data quality and address management solutions, today announced its Unison customer data verification platform as an easy-to-deploy solution for data stewards to maintain impeccable customer data.… Read More

How to Maximise Trading During the Festive Season

Melissa UK Team | 2020, Data Audit, Data Cleansing, Data Quality, Ecommerce

The festive season is vastly creeping upon us, with Black Friday around the corner, retailers must turn their throughs to what will be their most profitable period – quarter 4.
In normal circumstances during Black Friday and even Cyber Monday, we would see a barrage of sale hungry consumers rushing around the high street taking advantage of their favourite brick and motor stores to an over surge of eCommerce sales.… Read More

Best Practices for a Better Email Sender Reputation

Melissa IN Team | Email Verification | , ,

Studies have proved that one of the best ways for brands to reach out to their customers and engage with them is through email marketing. This holds true for a mature audience as well as a young, tech-savvy audience.

That said, no email campaign can be successful if your emails do not reach the intended recipients.… Read More

Disparate, Dirty, Duplicated Data – Understanding the 3Ds of Bad Data

Melissa AU Team | Data Quality | , ,

Disparate, Dirty, Duplicated Data – Understanding the 3Ds of Bad Data

In 1999, NASA learned how expensive bad data can be the hard way when they lost the Mars Orbitor in space. Why did this happen – because the engineers made calculations based on the Imperial system of measurements while the NASA scientists used the Metric system.… Read More