DataHour: Exploring the Fundamentals of DeepMatch
DataHour: Exploring the Fundamentals of DeepMatch
02 Feb 202313:02pm - 02 Feb 202314:02pm
DataHour: Exploring the Fundamentals of DeepMatch
About the Event
The quintessential pre-task of most data-driven analysis is that of “stitching” multiple data sources together. Traditionally, in an analyst’s language, this is achieved through “joins”. They “stitch” datasets together based on a commonality in terms of shared entries within common columns across datasets. In many modern settings, however, this does not work because two datasets may lack a shared column(s)or have mismatched entries or many-to-one relationships.
Typically, this arises because of the following reasons:
- Lack of centralized design across first-party and third-party datasets
- The datasets not adhering to a standardized format
- Errors and missing values in the data
- Many-to-one and many-to-many fuzzy relationships; or all of the above and more.
This challenge is addressed currently through a mix of manual work and point solutions across industries and verticals including SKU mapping in retail and supply chain for demand planning; reconciliation in account receivable and payable, trade reconciliation in Banking and Financial services; auditing in insurances; and entity resolution across industries.
In this DataHour, Devavrat will introduce DeepMatch, an AI-powered matching or joining of data with easy-to-interact humans in the loop component. He will also provide a few demonstrations of how it has been used for SKU mapping in Retail and Supply Chain for demand planning, transaction reconciliation in Banking and Financial Services and Auditing in Insurances.
Prerequisites: Zeal of learning Data Science and Artificial Intelligence
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
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