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Automation technologies are changing the market, and RPA is the most important part of that evolution. Here are some major applications of RPA in next-generation CIO
FREMONT, CA:Robotic process automation (RPA) has become the game-changer of the organization. RPA applies technologies like machine learning and artificial intelligence capabilities to perform a repeatable task that earlier required humans to perform.
Here are some applications of RPA in next-generation CIO:
RPA for advanced analytics
RPA can help in building a data lake and can help in starting a data-enablement initiative. RPA automates and streamlines time-consuming, high-volume, and repetitive activities. Big data requires data aggregation, data cleansing, normalization, data wrangling, and tagging of metadata.
RPA offers several benefits to enable advanced analytics:
• Eliminate the need to rekey data sets manually
• Movement and storage of data
• Validation of data
• Making reports from the given information
• Data reduplication
• Performing vendor master file updates
• Data extraction
• Advanced-processing algorithms
• Formatting
RPA for business-process waste removal
RPA can tackle the significant types of transaction-processing waste:
• Highlight defects like missed deadlines or overspend
• Extending reporting based on the severity
• Long waits for approvals
• Based on events tagging training to employees when necessary
• Updating data for entry into a more extensive system
• Processing of formatting reports by adding all the details.
RPA for portfolio management
The role of program and project managers consists of monitoring risks, managing project budgets, and balancing resource capacity. RPA can quickly freshen up the standard of IT portfolio management. Automation can minimize risks and can streamline portfolio management activities in several ways:
• Make multi-thread, digital approvals for statements of work
• Create documents
• Make predictions based on historical data
• Automate data ingestion for dashboards
• Push communication of project variance
• Automate project and program SDLC process-step progression
• Collect and disseminate project-specific information
• Reduce the role of spreadsheets to manage information