Manipulating Data

Article • 6/1/2026 • 7 min read

The data loading process can be run with multiple check boxes checked - so that a given run could process New rows , Updates , Deletes , and Process rows marked Error.

Add New Items

To load new data into the EAM database, check the Add New Items check box. With checked:

Update Existing Items

You can update items, equipment, suppliers, etc., that are already in the database, applying data values from a spreadsheet as follows:

In the spreadsheet, set the Status field to Update for every row to be applied to the EAM database.

On the Data Loader screen, check the Update Existing Items checkbox. With the check box checked:

Delete Rows Flagged for Deletion

You can delete Items , Equipment , Suppliers , etc. from the EAM database as follows:

With the checkbox checked:

Process Rows Marked “Error”

To re-process errors, check the Process Rows Marked “Error” checkbox. With the check box checked:

To see errors in the data loading process, users can download the spreadsheet and check the contents of the Error column. Alternatively, they can click the See More button in the status grid to access details on the number of processed rows along with their respective statuses.

View Uploaded Data

As soon as the data loads, the data file and its status will be recorded in the Data Loading Status grid.

You can click on the Refresh button to view the latest data loading status to the EAM database.

You can select any record and click on Task Detail to see its processing details.

The grid consists of the following columns:

File Name : It is the name of the file for loading the data.

Status : It is the data loading process status. It can be Created (Amber), In Progress (Amber), Processed (with green) and Fail (with red). If the status is Processed , you can click on the record to open the processing status of each row in the spread sheet. If selected, Sheet Process: <Sheet Status> pop up appears with the following columns:

Formatting of Data in Excel

When you key in or paste data into a spreadsheet, Excel can automatically change the format of the cell based on the values entered.

Format errors can occur when entering values for ‘plant’ in column A of the spreadsheets.

For example, if your plant code is ‘100’, Excel may interpret this as numeric and process the plant code as a number, resulting in an error on every row of the spreadsheet. This error is easy to fix: In cell A2, simply enter a single quote in front of the 100, and then copy-and paste that value into column A for all remaining rows in the spreadsheet.

You can usually tell if Excel is interpreting a text field as numeric if the values are displayed as right justified. Pay attention to how Excel treats the values of Item Manufacturer Part Number, Equipment Model Number, etc. These fields are text/character fields in the EAM database, but your data may contain only numbers. For example, if you have values of ‘Model’ that consist solely of numbers 0 through 9, and they are right justified, then Excel is interpreting the data as numeric, and incorrect values may be loaded (usually blanks will be loaded). In this case, you can use the Excel command of TEXT to force Excel to handle the values as text.

Here is an example, using the Equipment field of ‘Model’:

Using Data Loader to Update Data

When updating existing data using Data Loader, a data field is updated only if a value is entered in the spreadsheet. For example, supposed Item ABC exists in the EAM database, with unit cost equal to $123.45. The Data Loader is being run to update the item’s description. The row in the spreadsheet contains the plant code, item number and description. The spreadsheet column titled ‘unit_cost’ is left empty. When the data loader is run, it will update the description for the item, and leave the unit_cost unchanged. Note that if the spreadsheet contained a zero in the unit_cost column, the item’s unit_cost would be changed from $123.45 to 0.

When updating existing data, text fields can be nulled out using the Data Loader by entering <null> in the spreadsheet cell. The greater than/less-than symbols (<>) are required.