Stitch even the most disparate datasets in minutes with Ikigai’s patented DeepMatch method. It doesn’t require any data pre-processing, improves over time, and learns from humans.
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Sudarshan Jain, Director of Finance at Yojak
DeepMatch takes datasets as inputs and learns the relationship between the columns of datasets and then uses similarities between rows to stitch.
The more you use DeepMatch, the better it stitches. Over time, it learns to understand the relationships between data even better, which improves model’s confidence, thus, it’s now able to match even more entries.
At Ikigai, we believe that exceptions are the norm in machine learning driven solutions. Thus, DeepMatch is designed to incorporate corrections with just a few clicks through human-in-the-loop. It then learns these corrections to improve the stitching in the future.
DeepMatch goes beyond fuzzy matching techniques in many ways.
Learn MoreFor example, if a payment was processed through several separate transactions or a name is captured in one vs two fields, DeepMatch would still associate it with the corresponding purchase order or person.
Create a free account and try DeepMatch in action for a variety of data preparation use cases, from financial reconciliation to data stitching required for supply chain forecasting.
Try NowIkigai offers competitive and flexible pricing packages for businesses of all sizes. Please contact our team for more details.
