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Data Structuring and Worfkflows

Data Structuring and Worfkflows

Transform the reception and review of unstructured data (for example via email in different formats) into workflows executed on a platform that includes rules and business parameters through the use of web forms, conversational bots, approval flows and integrated RPA/RIA Bots.

 

  • Capture and structure Data.
  • Apply quality criteria for information.
  • Variables Homogenization.

Improve data analysis and decision-making.

Manage data and workflows in a unified way, streamlining internal control and audit processes.

Improvement in execution times and reduction in reprocessing.

Benefits

1.
Centralize collected information
2.
Capture information in web forms, standardizing data and registering it in one single database
3.
Data quality improvement
4.
Standarized workflows, role management, user profiles and privileges allowing event traceability along the workflow
5.
Increase analytical capabilities both on the data and the execution of the workflows steps
6.
Make auditing and internal controls easier

Reasons

1

Current process uses a standard form that is filled by multiple users (clients, suppliers, employees) in different formats, generating multiple individual files hard to manage.

2

Inability to view the collected information from all users in a centralized way.

3

No easy way to analyze the collected information, increasing operational and administrative vulnerabilities.

4

Little-to-none standarization and data quality. 

5

Decentralized, individual, unstructured workflows.

6

No easy way to audit and control de worklow execution.

Enhance how you collect data in forms and templates, establish appropriate review and approval processes in accordance with roles and profiles, and unify all Data from the process within a singular framework.

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