To ensure data consistency and accuracy when consolidating data from different sources in Google Sheets for an IT infrastructure project, I would follow a structured approach. First, I would start by gathering all the data sources and understanding the format and structure of each dataset. This includes identifying key fields and any unique identifiers that can help in merging the data accurately. Next, I would import the data into Google Sheets, ensuring that each dataset is placed in a separate sheet to maintain clarity.

Once the data is imported, I would perform a thorough data cleaning process. This involves checking for duplicates and inconsistencies, such as mismatched data types or missing values, and resolving them to ensure uniformity. I would use Google Sheets functions like UNIQUE and conditional formatting to highlight and remove duplicates.

After cleaning the data, I would consolidate it into a master sheet. This involves using functions like VLOOKUP or INDEX and MATCH to accurately merge data based on common fields. I would also create pivot tables to summarize and analyze the data, ensuring that the consolidated data reflects accurate insights.

Throughout the process, I would validate the data by cross-referencing with the original sources to ensure accuracy. Finally, I would set up data validation rules and automated checks to maintain data integrity over time. This structured approach helps in delivering reliable and consistent data for the project.