For years, Excel has been the trusted companion of actuaries, offering unparalleled flexibility in handling complex tabular data problems. The dynamic synergy between Excel’s flexibility and the intricate needs of actuarial processes is often deemed a match made in heaven. Despite the rise of various tools and attempts to replace Excel, it continues to reign supreme in the actuarial world.
In this blog, I’ll share with you the ways Power Query can be used to serve as a catalyst for optimising actuarial functions, subsequently enhancing transparency and mitigating operational risks.
Understanding Power Query: A Game-Changer in Actuarial Processes
Power Query vs. Power BI: Before we proceed, it’s crucial to distinguish between Power Query for Excel and Power BI. While Power BI incorporates both data analytics and visualisation components, Power Query for Excel focuses solely on data transformation and preparation.
Getting Started with Power Query: Power Query allows actuaries to connect to various sources, from files to cloud technologies. Its user-friendly interface simplifies data transformation, enabling filtering, sorting and the reshaping of datasets effortlessly.
Benefits of Parameterisation: By incorporating parameterisation, users can enhance flexibility and reduce dependency on hard-coded values. Parameters allow for dynamic updates without delving into the intricacies of Power Query.
Streamlining Data Sources: A Seamless Integration
Combining Multiple Data Sources: Actuarial processes often involve consolidating results from diverse reporting units. Power Query’s “Get Data from Folder” feature streamlines this process. It scans files within a specified folder, combining them into a unified dataset with a few clicks.
Enhanced Data Formatting: Power Query enables the actuary to refine raw data into a structured format, aligning it with specific reporting requirements. Actuaries can effortlessly manipulate the data to match their desired format, ensuring seamless integration.
Optimising Manual Adjustments: Accuracy and Traceability
Merging Queries for Manual Adjustments: Manual adjustments are a fundamental aspect of actuarial work. Power Query facilitates the integration of manual adjustments into the dataset. By merging queries, actuaries can ensure accuracy, traceability and consistency in their calculations.
Avoiding Duplications: Careful attention is required when merging queries to prevent duplications. Ensuring unique records on one side of the merge operation prevents inaccuracies in the final dataset.
Implementing Data Flow Checks and Audits: Ensuring Data Integrity
Timestamping Data: Adding refreshed timestamps to inputs and outputs enhances transparency and auditability. Actuaries can easily track the last update time for each dataset, enabling effective data flow checks.
Utilising Power Query for Audits: Actuarial processes can be audited seamlessly using Power Query tools. Auditors can access timestamp information without altering the original data, ensuring data integrity throughout the auditing process.
Power Query for Excel empowers actuaries to transform their workflows, increasing efficiency, transparency and accuracy. By seamlessly integrating data sources, optimising manual adjustments and implementing robust data flow checks, actuaries can elevate their analytical capabilities. By embracing Power Query, actuaries can focus on value-add analysis and strategic decision-making, optimising and streamlining actuarial processes.
Contact us for advice and support on how you can use Power Query for Excel to drive efficiencies in your actuarial processes.
