Data is the backbone of the retail world. Without it, you can’t accomplish things like trend analysis, inventory, or finances. The data must flow.
But we can’t just take the data we currently have and pass it around to whoever needs it. (Although that would be convenient.) Protecting the privacy of our customers is paramount, and our information is vital too. With all of the perks we get from data, it’s tough to capitalize on it without risking the privacy of our customers or our business needs.
Let’s jump into how data synthesis for the retail industry can assist your team with navigating your customer’s privacy concerns.
Thanks to data synthesis, you can safely mimic all the data from a production database without putting any personal information at risk. By doing so, you’re able to keep focusing on supporting your customers and tracking trends while your customer data stays secure
With the ever-increasing risk of data breaches in the retail industry, you need a platform that can support your business and your customers. That means privacy, scaling, robust testing, and protection must be at the forefront.
With Tonic.ai’s platform, your company can ensure that your customer data is safe and secure from start to finish. Our data synthesis platform generates precisely what you need, whether you’re working on training a machine-learning algorithm or supporting your supply chain across the globe.
You already know what we do, but let’s see how synthetic data for retail can work for you:
Don’t believe us? Check out how eBay uses Tonic to subset their data and get it into the hands of their engineers, saving them time and keeping everything secure, and boosting productivity.
The retail industry thrives off data, and there’s more and more data every year. However, keeping it private for your customer’s sake is critical, which can severely hamper your team when developing or analyzing it.
Using synthetic data for retail allows you to steer through complex situations like data compliance, as well as give your team the tools they need to shine. Safely, securely, and easily.
If you’re interested in getting started with using real fake data in your workplace, book a demo with us and see how it can fit into your workflow.
Enable your developers, unblock your data scientists, and respect data privacy as a human right.