Whether you’re an ecommerce manager, product manager, or CTO, if you work in e-retail it’ll be a cold day in hell before you go a week without worrying about the state of your product data.
And if today’s one of those days when your wonky data fields have inadvertently turned all your sofas into fridges, and all your tumble-dryers pink, fear not. Here are three reasons to relax.
1. It’s not as bad as you think it is
It’s natural to compare yourself to others, but while it seems everybody else is living in product data heaven, remember you’re only seeing what’s Instagram-ready. We’ve got decades of experience in data science working with all manner of organisations, and the first question we’re often asked is “what if my product data is so low quality that you can’t get any value out of it?” So if you think your product data’s bad, you’re not alone.
2. You can always get value
No matter how ‘bad’ your data is, there’s always value to be extracted with the right knowhow. We’ve worked with ‘Data Lakes’ that are, we kid you not, a grey filing cabinet filled with photocopies inside Manila folders. And mainframe systems without email fields, because, well, email wasn’t so big in the 80s. So however patchy your product data is, you’d be surprised what can be achieved with some natural language processing, significance analysis and learning vector quantisation. In other words, that sofa of yours that’s 60 centimetres deep and 3 millimetres wide? We can recognise that inconsistency programmatically, and adjust the dimensions so they make sense.
3. It’s not your job anyway
OK so if you’re the Data Scientist then you’re not completely off the hook – it kinda is your job. But the point is, if you’re a retailer, then your job is to retail. You’re in the business of selling whatever it is you sell. What we’re in the business of doing is helping retailers like you to sell more, by doing cool stuff with your data. We’re not surprised when we get the ‘what if our data is bad?’ question, but that’s precisely what we’re here to help with. You don’t turn up to the dentist and apologise for having toothache.
If there’s one thing to take away, let it be this. Waiting until your product data’s good enough is like joining a queue for the latest trendy pop-up; you’ll be waiting forever. There’s so much that can be done, and no time like the present, so if you want to see how we can help your customers discover your products, no matter the quality of your data, then find out more about us. Once you’ve done that, why not leave your email address below and we’ll get in touch with you – or you could even sign up for a free trial.