Excel 2022 Project Exp 22 Ch 04 Cumulative

excel 2022 Projectexp22 Excel Ch04 Cumulative

As a business analyst at SKV Insurance claims department, you are tasked with enhancing an Excel workbook used to analyze the department’s performance. The workbook contains records of all claims resolved over the past year. Your responsibilities include converting the data into a table, formatting, sorting, filtering, inserting calculations for key performance indicators, and preparing the worksheet for printing. Specific steps involve freezing panes, converting data to a table named InsuranceClaims with a specific style, removing duplicates, adding a Duration column with calculated days to resolve claims, adding total rows, sorting by multiple criteria including a custom order, filtering for closed claims, applying conditional formatting with Data Bars and color fills, setting up the worksheet for printing with landscape orientation, margins, scaling, and page breaks, repeating header rows, and saving the file. Finally, you will exit Excel with the updated workbook.

Paper For Above instruction

Effective data management and presentation are fundamental in the insurance industry to monitor and improve claims processing efficiency. The task at hand involves transforming raw claim records into a well-organized, visually appealing, and print-ready Excel report that facilitates performance analysis. This process not only streamlines data analysis but also ensures clarity and professionalism in reporting.

Initially, opening and preparing the dataset involves freezing specific panes to keep critical headers and identifiers visible during scrolling. This enhances navigation across extensive datasets, which is typical in claims data. Converting the dataset into an Excel table, named appropriately as "InsuranceClaims," provides dynamic range management, enabling easier sorting, filtering, and formatting. Applying a consistent table style, such as Light Green, Table Style Light 21, improves visual clarity, making data easier to interpret at a glance. Removing duplicate records ensures data accuracy by eliminating redundancy and minimizing potential analysis errors.

Adding a new column called "Duration" involves constructing an unqualified structured reference formula that calculates the number of days taken to resolve each claim, derived from the "Date Resolved" and "Date Created" columns. Formatting this column with General Number Format ensures readability. Incorporating a total row allows computation of the average resolution time, providing a key metric for performance assessment. Sorting the table alphabetically by "Insurance Agent," then by "Description," with a custom order reflecting priority levels (Natural Disaster, Flood, Fire, Theft, Accident), facilitates logical grouping and quick identification of case types. The subsequent sort by "Duration" in ascending order highlights claims with the shortest or longest resolution times, aiding targeted process improvements.

Filtering the dataset to display only "Closed" claims focuses analysis on completed cases, crucial for accurate performance metrics. Applying Quick Analysis, specifically Data Bars with a Blue theme, visually emphasizes the duration of claims, enabling quick comparison across cases. Conditional formatting further enhances visual diagnostics; red fill with white font highlights claims that required 30 or more days to resolve, drawing immediate attention to potentially problematic cases requiring process review.

The worksheet's print setup is equally important. Orientation is set to landscape, with adjusted margins to fit data on one page; the print scale is scaled to 70% to optimize space usage. Page breaks are strategically positioned so each insurance agent’s data prints on separate pages, supporting clarity when sharing printed reports. Repeating row 6, which contains headers, on each printed page ensures consistent identification of columns, maintaining professionalism and readability in physical copies.

Final steps include saving the updated workbook with the original filename pattern, then closing and exiting Excel. This comprehensive process enhances the dataset's usability, supports insightful analysis, and ensures the report is presentation-ready, effectively aiding decision-making within the claims department.

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