When processes are evaluated for Robotic Process Automation (RPA), one key factor to be considered is the nature of data used in the process. RPA can only work with structured, digital data. However, in the workplace, that is not often the case. Examples of unstructured data you may come across in the workplace include:
Unstructured emails or chats
Scanned PDF images of forms or other documents like invoices or lease agreements in PDF, TIFF, MS WORD or any other format
The data must be extracted from structured, semi-structured or unstructured sources. Lateetud has recognized the need for a holistic solution and has developed expertise to tackle the data-intake challenges.
Reduce time to automate by
Increase scope of RPA by at least
A process always starts with some form of data - structured or unstructured and digital or scanned. RPA can automate processes as long as the data is structured and available in a digital format. Many RPA tools also provide data extraction capabilities.
Data Extraction has yet to be boiled down to a science. Unstructured data requires more time to increase the efficiency of the process; solving data intake challenges must be addressed with multiple tools or technologies. Yet, successfully solving for data extraction is an evolutionary process that requires continuous improvement over time to optimize the extraction via building more rules or using machine learning models.
The below diagram provides a structured approach to get started with the initiative:
Through its service offerings – Envision, Accelerate and Cruise – Lateetud helps enterprises embark on the journey to solve data intake challenges. With multi-industry (banking, mortgage and insurance) expertise in automating processes, Lateetud has certified data extraction specialists who can help enterprise setup capability to extract and input data.
Lateetud can also help enterprises automate the upstream and downstream processes to extend the gains of data extraction.
Request additional information on how Advanced Data Intake can help with data extraction from documents within your organization.