Shirley Zhao is a Digital Marketing Specialist at Experian Data Quality. She spends her time researching and identifying ways to expand the company's digital reach. Shirley enjoys reading, Netflixing, and practicing Muay Thai in her free time.
Data is truly at the heart of every organization. We use it to back up business proposals and initiatives, prepare forecasts and projections, pinpoint areas for improvement, and substantiate cases we try to build. We can’t rely solely on instinct and gut feeling because they are intangible, and with the amount of information collected in today’s data-driven society, most businesses have come to expect the credibility that data brings and are investing in that power.
Extract, transform, and load (ETL) is the process of integrating data from multiple, typically disparate, sources and bringing them together into one central location. It is a key component to businesses successfully making use of data in a data warehouse.
Sure, the process itself is fairly straightforward, and when done right, ETL prepares an organization for powerful business intelligence initiatives. However, a lot goes into a successful ETL process. Let’s discuss the three steps involved and why data management practices are an essential foundation to carrying ETL out properly.
We've used this analogy many times here at Experian Data Quality, but that's only because it makes a lot of sense when referencing data standardization. What analogy am I talking about? The one where we discuss how a robust data management strategy relies on a methodical, step-by-step approach—much like how you'd approach building a house.
There are many different variations in the way addresses can be written, depending on which country you're in, which country you're mailing to, where you got the address information (a business card, a postal authority, an email signature, etc.), how recent the addresses are, and whether they have all the required parts of a complete address. All these factors contribute to potential areas of inaccuracies in address data.
Here's what you can do to verify your address data:
In the digital marketing world, the term “big data” is thrown around a lot. By definition, big data is extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions.
As a small business, your data may not be classified as “big,” but it’s incredibly important to the growth of your business. Contact data, in particular, is something that small businesses need to focus on.
In this post, we've partnered up with JustUno, a conversion optimization platform, to take a look the value in collecting lead and customer contact data, and see why ensuring the quality of contact data is critical for small businesses.
This title is a quote—and what a quote, huh? I nabbed it from a video about Google’s exploration into virtual reality. But it resonated with me because it was new; it was unique, and it was such a refreshing change to the same things I hear over and over again.
And so, this post is a tribute to the original, to the ideas that I hadn’t read a million times over. These are 9 of the most memorable quotes I heard from the speakers at Content Marketing World 2016 and why I think they’re worth sharing.
The hype around Pokémon Go has shown us one thing extremely clearly: that marketers can now start thinking about augmented reality (AR) as the next step in reaching out to consumers and monetizing a channel.
What started as an April Fool’s joke back in 2014 has turned into the most downloaded app in Apple’s App Store and the biggest mobile game in U.S. history. Well done Niantic, so well done.
No one should dispute the importance of mobile in today’s shopping journey. But what may be disputed is whether the focus should be on mobile apps or mobile browsers. I’m here to tell you why, before you go all out in developing a mobile app, you should consider optimizing your mobile browsing experience first.
It may go against what a lot of your peers are saying, but the mobile browsing experience is paramount to the mobile app experience. Your mobile apps house your most loyal customers; they’ll come back to you no matter what (unless, of course, you miss spectacularly on their expectations). If you want to continue growing your customer base, however, making sure new shoppers have a good experience all around means investing in a better mobile browsing experience. Let’s find out how to go about that, shall we?
Technology is making consumers’ lives easier, sure, but retailers have to continually play catch-up to match their own technology with consumer expectations. Some retailers are doing it well; others, not so much. Legacy systems have been in place for decades in some instances, and while they may have worked in the past, those systems can’t keep up with the demands for today.
As Dunkin Brand’s president of global marketing and innovation has quite bluntly stated, “If you’re doing business today like you did last week, the competition is gaining on you, and if you’re doing business like you did last year, you may soon be out of business.”
Ouch. But, it’s the truth. That’s why Melanie Clark, our Retail Partner Manager, and I have come together to discuss how today’s leading retailers are simplifying the purchase process, making mobile shopping frictionless, and why ‘showrooming’ and the ‘endless aisle’ should all become the new standards of retail.
I think it’s safe to say that there are at least two thousand fifty-four point seven initiatives that retailers are planning and budgeting for. But there are a few that stand out: 1) Micro-moments, aka what everyone knew about already but Google coined into one phrase, 2) Mobile payments, or trying to reduce that forsaken cart abandonment rate, and 3) a 360° customer view, or making sure Jon, John, and Juan are just one Jon who’s interested in your suits.
Ray Wright, our Director of Demand Generation, and I teamed up to discuss what we thought should be the top priorities for retailers in the near future through the lens of those three focuses listed above. And of course, we brought it back to data quality because that’s what we do best.