Monthly Archives: January 2018

Businesses that are planning to start an email marketing campaign have been urged to make sure their messages are interesting to recipients straight away.

According to Carol Lustig of marketing specialist Media One, a company must outline its intent at the very start of an email, Campaigns & Elections magazine reports.

Data governance and compliance: it’s safe to say the two go hand in hand. Without proper data governance, how can you be confident your organization is adhering to regulations? On the other hand, when organizations are compliant, you can bet there is an effective data governance strategy in place. If you’re asking yourself, “how can I get started,” we are here to help! First let’s take a look at the terms data governance and compliance, and see how they are related. 

Businesses looking to advance and get to grips with their data should look to utilize data warehousing strategies, it has been suggested.

Data matching compares two sets of data to identify duplicate records. Learn advanced data matching techniques that enable efficiency when matching records.

As 2018 commences, customers have sky-high expectations when it comes to their experiences with every business they interact with: retail brands, utility services, and even their banks. We expect these businesses to anticipate our needs, know who we are, and always be relevant. Essentially, we want companies to read our minds. While this is impossible and unrealistic, businesses can make strides by enriching their customer data to improve their customer experience.

US marketers have been reminded that email correspondence with their customers remains one of the most effective and cheapest methods of communication they can engage in.

Businesses looking to improve their email marketing strategies may want to find out how quick response code (QR Code) technology can help them.

This blog post is part two of three in a mini-series we are calling The art and science of matching your data.

Matching data should be simple, right? Well, that depends on your perspective. As much as processes can be automated these days, when it comes to record matching, the results still depend on the context in which you want to view the relationships.

This blog post is part one of three in a mini-series we are calling The art and science of matching your data.

Matching is a term used commonly throughout data management, but it is also known by several other terms: linking, deduplication, joining, aggregation, and so on. For the purposes of this discussion, let’s define matching at the process in which I can determine a relevant association between two or more individual data records.