Speeding up Report Compilation and Generation with Robotic Process Automation (RPA)

Speeding up Report Compilation and Generation with Robotic Process Automation (RPA)

RPA can add significant value in data-driven organisations by automating report generation. This technology streamlines the process by addressing several critical challenges:

  1. Labour Intensive and Time Consumption:
    Without automation, employees must perform repetitive tasks manually, leading to longer data processing times and a waste of resource utilisation.
  2. Data Quality and Consistency:
    Manual data entry and report generation increase the likelihood of errors, such as data inaccuracies or inconsistencies, which can compromise the quality and reliability of reports.
  3. Inefficiency and Bottlenecks:
    Data gathering can be cumbersome, and manual processes can create bottlenecks in the report generation workflow, causing delays and hindering timely decision-making.
  4. Limited Scalability and Flexibility:
    Manual processes may not scale well with growing data volumes or changing business requirements, making adapting and meeting new demands challenging.


How Robotic Process Automation Streamlines Report Compilation

“Measuring is knowing”! Reports and Feedback are vital for any business, big or small, to support its business and operational strategies. The Reporting process benefits from Robotic Process Automation (RPA), as the intelligent software replicates human interactions with systems to extract, gather, compile, and generate the basis for meaningful reporting.

Human interactions will never be nullified, but it does allow the effort to focus on analysis and feedback rather than gathering. RPA bots simulate non-cognitive human actions to interact with different software applications and databases, gathering information to produce comprehensive reports.

Below, we consider the benefits our customers experience from using RPA in their Reporting Processes.


Benefits of RPA in Report Compilation:

  1. Efficient Data Gathering
    RPA optimises the data-gathering process by automating extraction, cleansing, and transformation tasks. An RPA bot can collect data from various sources, populate pre-defined templates, and generate reports in various formats to meet business needs. Thus, it ensures accuracy and completeness, allowing the focus to be on data analysis.

  2. Enhanced Data Accuracy
    Bots efficiently and accurately handle large volumes of data with high precision. They automate data entry, validation, and reconciliation processes, minimising the risk of errors. Additionally, a bot can verify data from different sources, ensuring its accuracy and integrity and generating useful reports for decision-makers.

  3. Streamlined Data Analysis
    Once the data has been gathered, RPA can further contribute by extracting the targeted data points and converting them into graphical representations for more efficient data analysis. This, in turn, helps with repetitive analytical tasks, trend identification, and outlier detection.

  4. Optimized Compliance Reporting
    Regulatory compliance is significantly improved with RPA’s ability to extract necessary data, generate reports, and ensure adherence to regulatory standards. For example, RPA bots compile data for regulatory submissions, reducing the risk of compliance errors. Additionally, bots maintain activity logs, providing an audit trail for compliance purposes.

  5. Automated Report Distribution
    Efficient report distribution is crucial for informed decision-making. RPA automates report distribution processes by handling email notifications, access controls, and versioning. An RPA bot sends reports to predefined recipients, ensuring timely and secure access to critical information.

  6. Efficient Dashboard Creation
    Creating insightful dashboards requires meticulous coordination. RPA automates dashboard creation processes by assembling visual elements, updating real-time data, and ensuring interactivity. It is also able to generate dynamic dashboards that can be adapted to a department’s specific requirements, providing professionals with a comprehensive view of key metrics.

  7. Data Security and Confidentiality
    RPA’s inherent data security supports data encryption, access controls, and compliance with data protection regulations. It ensures that sensitive information remains confidential and is accessible only to authorized personnel.



Real-life Case Studies of how RPA enhances the Reporting Process

Case Study 1: Optimising Financial Reports with Robotic Process Automation
A financial consulting firm specialising in tax, accounting, transfer pricing, and financial processes faced challenges manually generating clients’ financial reports. The firm’s clients, publicly traded corporations and the subsidiaries of foreign companies relied on them for compliance with tax and accounting regulations.

Before implementing Robotic Process Automation (RPA), the firm manually processed reports by copying data from CSV files into Excel, which took 2-3 days and required 3-4 people. This labour-intensive process increased the risk of human error.

In search of a suitable automation tool, the firm compared various RPA products and selected SmartTechNXT’s partner, Fortra, for its scalability, on-premise installation, ease of use, security for clients’ financial data, and personalised customer service. With the tool, they standardised report formats and began automating financial reporting processes.

The RPA project took only a few days to implement. The firm automated four processes, including daily routines for extracting and inserting data from Microsoft Access into SharePoint tables. Monthly processes, interpreting and fitting CSV files into Excel templates, were also automated.

The firm has saved a lot of time and significantly reduced errors, delivering more complete and prompt financial reports while improving data security by eliminating human interaction. Future plans include expanding RPA projects to other company areas to optimise operations and better serve clients. Read more about this case study here.

Case Study 2: Enhancing Efficiency in Financial Reporting with RPA Solutions
A leading financial services provider sought to improve the efficiency of its reporting processes for its corporate and institutional clients. The company’s employees relied heavily on compiling critical reports and analysis, which was labour-intensive and time-consuming, taking away resources from other value-added tasks.

To address this, the company partnered with a technology provider and implemented a robotic process automation (RPA) solution called Automate Plus. This allowed them to automate mission-critical reporting tasks, running them overnight so employees could start their workday with all necessary reports ready.

With RPA in place, the company saw a significant increase in efficiency. Previously, these tasks required up to six hours of work per employee daily. By automating these processes, the company could reallocate its team to more complex and high-value activities that better serve its clients. Read more about this case study here.

Clearly, RPA can transform report compilation by automating routine tasks. This allows professionals to focus on strategic data analysis and decision-making and provides value-adding benefits to any business.

Our experts can help you leverage RPA to manage your data-driven operations more effectively. For a consultation on how RPA can improve your report compilation practices, contact SmartTechNXT.