Melissa Australia

Global Intelligence Blog

Insights and Analysis for the Data-Driven Enterprise

Data Cleaning

Data Cleaning – The What, Why and How

Deciding what to include and exclude in the new product range – deciding price points – estimating delivery timelines – all of this and more is based...

bitcoin scams

How To Recognize Crypto And Bitcoin Scams

The concept of money is changing. It’s not all just notes and coins, you’ve probably heard of cryptocurrency and bitcoins too. This isn’t play money....

data quality

Disparate, Dirty, Duplicated Data

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...

E-commerce in APAC

APAC E-Commerce Surges During Pandemic

Ecommerce is probably the only sector that has seen growth amid the COVID-19 pandemic. We’re shopping for everything from groceries to clothes and...

    About This Site

    All data goes bad (up to 25% per year), whether due to data entry errors or the simple fact that consumers change jobs, move, update email addresses, marry, etc. At Melissa, we help companies harness the value of their Big Data, legacy data, and people data (names, addresses, phone numbers, and emails) to drive insight, maintain data quality, and support global intelligence.

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    info.au@melissa.com