AgilOne Data Quality Engine Cleans Up Big Data
Predictive Marketing Platform Helps Retail Marketers Ensure They Have Accurate Data on Millions of Customers
MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--AgilOne, the cloud-based predictive marketing platform, today announced that its Data Quality Engine has been updated to improve the overall quality of customer data. Designed with the retail marketer in mind, the Data Quality Engine let users collect and link data from multiple channels – online, offline, call center and mobile – so that retailers have a single view of the customer regardless of the channel used to shop.
“Prior to working with AgilOne, we didn’t have the ability to view our customer data across our North American power tool brands”
With the enhanced Data Quality Engine, retailers can ensure the quality of millions of shopper profiles daily. Because AgilOne is SaaS-based, it’s much more affordable and simpler to implement and maintain relative to legacy systems. In addition, most legacy systems don’t have a way to link data from multiple channels.
“Prior to working with AgilOne, we didn’t have the ability to view our customer data across our North American power tool brands,” said Sunny Mallavarapu at Bosch “AgilOne’s Data Quality Engine lets us aggregate customer information from various data sources. For example, we can look at who has registered a product, signed up for a monthly newsletter, met with us at a tradeshow or sent a tool in for service. Now that our data doesn’t only reside in disparate systems any longer, we know we can trust the quality of the information for each customer profile and track each customer engagement.”
The Data Quality Engine lets retailers:
- Cleanse Data – At least once a day, retailers can cleanse customer data including first names, addresses, phone numbers and email addresses to ensure that they have the correct information on file for each shopper.
- De-Dupe Data – Duplicate customer records are automatically combined at least once a day to ensure that only a single profile for each shopper exists.
- Augment Data – Retailers can easily add more information to a customer profile such as census data so they have a clearer picture of who their shopper really is.
“If you can’t verify the quality of your data, this can be death for a retailer,” said Dr. Omer Artun, CEO of AgilOne. “As a marketer, this can lead to a lot mistakes. For example, if you send an offer for kids clothing to someone that doesn’t have children, it’s a wasted effort and you may even irritate the recipient. If your goal is to keep customers shopping with you time and time again, then make sure your data is pure.”
AgilOne’s Data Quality Engine does all the quality control so retailers can focus on designing creative marketing campaigns rather than worrying about the data. Retailers can easily get up-and-running on AgilOne’s cloud platform in a matter of days or weeks. For a price quote on AgilOne Enterprise, please contact AgilOne directly via email.
AgilOne is a cloud-based predictive marketing platform. It is used by brands including Shazam, Sports Authority, Moosejaw and shopPBS.org. AgilOne helps marketers connect with the individual in every customer. AgilOne prescribes exactly the right marketing offer, makes each relationship more profitable, and simplifies the science of marketing. Based on a data-scientist approach, AgilOne makes big customer data clean and smart. Then, AgilOne recommends what immediate actions to take to increase revenue. AgilOne is based in Mountain View, CA and is venture-funded by Sequoia Capital, Mayfield Fund, Tenaya Capital, Next World Capital and Four Rivers Group. The company has been featured in well-respected publications and news programs including CNN, NPR’s Marketplace, Forbes, Internet Retailer, AllAnalytics.com and Digital Marketing UK. For more information, please visit http://www.agilone.com.