Data Standardization: Define, Test, and Transform

While organizations shift towards establishing a data culture across the enterprise, many are still struggling to get their data right. Pulling data from disparate sources and getting varying formats and representations of what is supposed to be the same information – causes serious roadblocks in your data journey. Teams experience delays and mistakes while carrying out their routine operations or extracting insights from datasets. Such problems force businesses to introduce a data standardization mechanism –

Understanding Address Parsing, Standardization, and Delivery Verification APIs

A key offering that many of our clients appreciate is our trackable direct mail. With a dynamic QR code, we can identify every direct mail recipient that uses their smartphone to open a call-to-action… from dialing a phone number or scheduling an appointment. We can even push an event record for the specific recipient to their customer relationship management system… or contact a sales representative with the activity. While the return on investment is outstanding,

Address Standardization 101: Benefits, Methods, and Tips

When was the last time you found all addresses in your list follow the same format and were error-free? Never, right? Despite all the steps your company may take to minimize data errors, address data quality issues – such as misspellings, missing fields, or leading spaces – due to manual data entry – are inevitable. In fact, Professor Raymond R. Panko in his published paper highlighted that spreadsheet data errors especially of small datasets can

Deduplication: Best Practices For Avoiding Or Correcting Duplicate Customer Data

Duplicate data does not only reduce the accuracy of business insights, but it compromises the quality your customer experience as well. Although the consequences of duplicate data are faced by everyone – IT managers, business users, data analysts – it has the worst impact on a company’s marketing operations. As marketers represent the company’s product and service offerings in the industry, poor data can quickly deface your brand reputation and lead to delivering negative customer