The challenge of relevance
and AI readiness
Customers respond to what’s relevant. Ensuring they only see relevant products and
content on your digital platforms requires analytical savvy and quality data. And if you’re investing in AI, a model that’s learning from bad data can be worse than useless.
Delivering relevant – and ultimately, intelligent – experiences demands unrelenting
attention to data quality. But typically, data curation is no one’s job.
As a result, curation either becomes an ungainly ad hoc program, forces high-skill talent into repetitive work, or simply doesn’t get done. In these cases, getting your data unstuck requires help.
Do these cushions go with that couch? Building a more human eCommerce experience.
How we helped a major American retailer create a flawless digital showroom with data-rich, accurate, and tasteful product listings.
Choosing a data curation team
Data curation demands the right resources, in the right timeframe, at the right budget –
all of which takes expertise to deliver.
Scalability. Data curation is by nature a large-scale effort. A data partner needs the resources, technology, and above all, experience to scale operations efficiently.
Global reach. Many projects require global datasets and perspectives. Through our
proprietary OneForma platform, we reach hundreds of thousands of resources across
Technology. Data curation can’t work efficiently without the technology to back it up – whether that’s resource management, data analytics, machine translation, or QA delivery. We have it all.
Talk data to us.