Automated Data Structuring
A barrier in successful Data structure is the range of formats in which data is kept.
This has a particularly big influence on industries with a lot of Unstructured Data and a lot of bureaucratic laws and processes, like:
Banking and Financial Services
Insurance and Legal Services
Healthcare
Mobility
Advantage of Automated Data Digitization and Structuring
How Can Data Digitization and Structuring Be Automated
Here are a few things to think about while Automating your Data structure operations
Data Gathering
A Data lake collects and stores data from paper-based and Unstructured digital documents (emails, presentations, PDFs).
Pre-processing of Data
The Data is converted into a format that may be used to train a model. Data annotation, cleansing, and organizing are examples of pre-processing.
Training of Model
A model is taught to recognize certain keywords associated with a particular use case. (e.g., medical and financial) and learns standard formatting as an output.
Output
The model can take Unstructured Data and organise it into a consistent and ordered format.
