Fortunately, many of us use Excel in our business organizations. In any business organization, we use Excel to organize data as per need and make databases for the future. Moreover, one interesting thing is that we can create loan pipeline reports easily in Excel for better representation. However, I have used Microsoft Office 365 for the purpose of demonstration, and you can use other versions according to your preferences. In this article, I will show you a step-by-step procedure to create a loan pipeline report in Excel. Hence, read through the article to learn more and save time.
Download Practice Workbook
You can download the workbook used for the demonstration from the download link below.
What is Loan Pipeline Report?
In general, the loan pipeline report displays the progress of all open loan requests of the clients. In addition, it can be utilized to display the progress of tasks once a loan has been generated and to provide your file records department with a summary of the documents’ verified data.
However, there are two reports available that contain a summary report and a detailed report. Usually, a summary report covers the essential information about loans and includes the file verification dates and deadlines, and the standard detail report displays the status of all tasks for each individual loan request. Thus, the items to make a loan pipeline report in Excel may include the Date, Executive’s Name, Client’s Name, Region, Address of Company, Contact Person, Designation, Contact Number, Amount of Loan, Pipeline Stage, Client Concerns, Next Action, Anticipated Closing Date, Priority, Loan Probability Status and many more.
Step-by-Step Procedure to Create Loan Pipeline Report in Excel
Often, we need to create a loan pipeline report for certain business analytics, and the process becomes more interesting with Excel. However, the task is easy and simple. But you will need an arrangement in order to perform the operation properly. Hence, go through the following steps in order to create a loan pipeline report using Excel.
📌 Step 1: Insert Necessary Header Info
- Firstly, I will create a template of the loan pipeline report in Excel.
- However, in order to do it, the items that make up a loan pipeline report need to be arranged serially.
- Finally, taking the items into consideration, I have created a template of the loan pipeline report in Excel.
📌 Step 2: Input Data to Create Loan Pipeline Report
- Initially, I selected John Richard who wants to take a loan of 1,25,000$ and his company is situated in Texas.
- Then, input the name of the Contact Person and the Designation.
- Next, insert the present Pipeline Stage, Client Concerns, and Next Action.
- After that, provide the Priority information and Probability of taking the loan by the client.
- Finally, add more clients following the same process.
📌 Step 3: Format Data and Modification
- Firstly, select the cells under the Date column and click on Format Cells.
- Secondly, go to Number and select Date as Category.
- Thirdly, select your desired Type and press OK.
- Fourthly, select cells under column Probability.
- Lastly, hit the Percentage (%) button to convert the loan probability to a percentage.
Last but not least, you will get your desired loan pipeline report in Excel. However, it may look like the image below.
💬 Things to Remember
- First of all, there is no direct chart option to get the loan pipeline report in Excel.
- Then, you can modify the report according to your personal preference.
- However, you can add more clients and information from your database.
- At last, you can copy the template and add additional columns to increase the length of your pipeline.
These are all the steps you can follow to create a loan pipeline report in Excel. Overall, in terms of working with time, we need this for various purposes. I have shown multiple methods with their respective examples, but there can be many other iterations depending on numerous situations. Hopefully, you can now easily create the needed adjustments. I sincerely hope you learned something and enjoyed this guide. Please let us know in the comments section below if you have any queries or recommendations.
For more information like this, visit Exceldemy.com.