Taking the Pain Out of Data Classification And Analysis
Whether your data is structured from a spreadsheet, database, or portal, or unstructured from emails, forms, and invoices, you’ll learn strategies for using both RPA and IA for full process automation.
Add Value, Bolster Strategy, Balance Workflow, Gain Scale
Automating repetitive and low value-added work allows our customers to focus on the strategic tasks that add value to their organisation, from small entrepreneurs that free up time in their day to large companies that can free up resources for tasks that add greater value. In addition, automating these processes also includes unprecedented scalability, as these processes will no longer generate peaks of work with high demand for employees, regardless of the pending volume.
Even in large companies with a high level of internal process standardisation, many external documents need to be processed in non-standardised formats. This requires manual verification of these documents and every day many invoices, delivery notes, purchase orders and other documents arrive to a company.
Robotic Process Automation (RPA) + Intelligent Document Processing (IDP) unites the tireless working power of RPA with the ability to locate the required information in multiple document formats thanks to the power of Unassisted Machine Learning included in our IDP solution.
This webinar discusses:
- Major pain points organizations are feeling in data classification and analysis
- Winning methodologies organizations are using to overcome those pain points
- Initial results that leading global corporate enterprise players have realized
- Timelines associated with finding success in data classification and analysis
Speakers
Keith Fuller
Technical Consultant/Pre-Sales
HelpSystems
Frederico Zani
Solutions Engineer
HelpSystems
