## What is “Data Upload”?

You can upload cycle-specific data for each employee. This is for data that cannot be retrieved from your integration and is uploaded in CSV form.

Some examples for what data can be uploaded include:

* Performance data (e.g. “Meets expectations”)
* Promotion information (who is getting promoted and into which band)
* Last compensation adjustment date (may be used in your recommendations)
* Additional employee metadata (like whether your company has flagged the employee as a flight risk this cycle)
* Initial values for pay increases or equity grants
* Static uploaded recommendations (overrides recommendation logic)
* Budget allocations if using a “per employee” budget (see [more](https://brainfi30.brainfish.ai/en-us/articles/budgets-1iLGrhSO8T))

Work with your Implementation Manager to learn about more use cases for Data Upload.

**Uploaded data will appear in the relevant column unless it is overridden by a user inputted value.** For example, if you upload “Exceeds expectations” for an employee’s Performance column, and then a user goes in and changes the value to “Meets expectations”, Pave will now display “Meets expectations” for all users.

**If you want the uploaded data to override user inputted values, you can select the “Override planner inputs with uploaded data” checkbox.**

 ![](https://support.pave.com/servlet/rtaImage?eid=ka0TV0000001gej&feoid=00NUn00000C06g9&refid=0EMTV00000Enlov)When checked, this option will force the uploaded data to appear in the relevant column and override any user-made changes. For example, if a user selects “Meets expectations” for an employee’s Performance column, and then you upload “Exceeds expectations” with the “Override planner inputs with uploaded data” checked, Pave will now display “Exceeds expectations” for all users. This can still be later overridden by further uploads or by user-inputted values submitted afterwards.

**Additionally, for currency columns, use local currency without any symbols for currency fields.** For example, if an employee earns in EUR and 10,000 is uploaded for salary raise, that will be treated as 10,000 EUR. **For budget fields, use the budget currency.** For example, if your budget is displaying in USD, upload employee budget allocations in USD according to the conversion rates you have set with your Implementation Manager.

Finally, any uploaded data for an employee will show up in their comment history log in the following format:


## Using Data Upload in Pave

Admins can use the Data Upload feature to get data into the cycle.


1. Navigate to the **Data Upload** section within the **Configurations** tab.

 ![](https://support.pave.com/servlet/rtaImage?eid=ka0TV0000001gej&feoid=00NUn00000C06g9&refid=0EMTV00000EnlqX)


2. Select the columns that you would like to upload data for. The set of columns available comes from the columns in your cycle.

 ![](https://support.pave.com/servlet/rtaImage?eid=ka0TV0000001gej&feoid=00NUn00000C06g9&refid=0EMTV00000Enls9)


3. Click **Upload Data** to launch the upload flow.

 ![](https://support.pave.com/servlet/rtaImage?eid=ka0TV0000001gej&feoid=00NUn00000C06g9&refid=0EMTV00000Enltl)


4. Click **Download** to get a copy of the existing data for each employee in the expected CSV format that you will need to upload the new data in. This is also considered best practice so you have a copy saved of the previous data upload, in case you need to revert back to it.

 ![](https://support.pave.com/servlet/rtaImage?eid=ka0TV0000001gej&feoid=00NUn00000C06g9&refid=0EMTV00000EnlvN)


5. Make the changes you want to the CSV using Excel or Google Sheets then click **Continue**

 ![](https://support.pave.com/servlet/rtaImage?eid=ka0TV0000001gej&feoid=00NUn00000C06g9&refid=0EMTV00000Enlwz)


6. Drag and drop the uploaded CSV into the dialog box.

 ![](https://support.pave.com/servlet/rtaImage?eid=ka0TV0000001gej&feoid=00NUn00000C06g9&refid=0EMTV00000Enm0D)


7. Select the header row if you uploaded your own CSV from scratch - if you downloaded the template, you should not see this step.
8. Map the CSV columns to the cycle columns. We intelligently try to map the columns in your CSV to the columns you’ve selected in your merit cycle. Check the mappings are correct before proceeding. If you’ve downloaded the template and left the column names unchanged, then these should be mapped correctly automatically. **If there are columns in your CSV that were not selected in step 2, that data will not be reflected in the upload as it will be unmapped.** Similarly, to proceed, you must also have a corresponding column in the CSV for every column you selected in step 2.

.

 ![](https://support.pave.com/servlet/rtaImage?eid=ka0TV0000001gej&feoid=00NUn00000C06g9&refid=0EMTV00000Enm3R)


9. Click **Continue** then fix any validation errors. Then click **Import.**

 ![](https://support.pave.com/servlet/rtaImage?eid=ka0TV0000001gej&feoid=00NUn00000C06g9&refid=0EMTV00000Enm53)


10. After the import is successful, you will see updated timestamps under the **Last Updated** column. You can also view the Audit Log to see the history of data uploads.

 ![](https://support.pave.com/servlet/rtaImage?eid=ka0TV0000001gej&feoid=00NUn00000C06g9&refid=0EMTV00000Enkfy)


11. Lastly, verify the data was successfully uploaded by seeing your data live in the planner.




Compensation Cycle Data Upload

Comp Planner Configurations Overview

Compensation Planner 101

Getting Started - Compensation Planner

Compensation Planner FAQs

Cycle Specific Permissions

Employee Eligibility

Step 1: Initial Cycle Setup

First-Class Columns

Using Handlebars Formula for Calculated Columns

Columns

Step 2: Column Configuration

OTE Planning Configuration Guide

What is OTE Planning?

Step 3: OTE Planning

Am I able to update or change approval chains during a cycle?

Updating Approval Chains

Step 4: Data Management

How can I configure market adjustment recommendations for employees?

How can I configure variable raise recommendations for employees?

Recommendation Logic

What are Recommendations?

Step 5: Recommendation Logic

Budgets

Budget Dashboard

Top Down Budgets: In-app Configurations

Step 6: Budget Confirmation

Planning Windows Setup Guide

Planning Windows Overview

Monthly & Hourly Pay

Employee Compensation History Popout

UI Toggles

Filtering & Sorting

Approval Statuses

Step 7: Planner Experience

Smart Flags

Compensation Outliers

Manager Compression Flag

Vesting Drop Flag

Step 8: Controls & Governance

Peers Overview

Cycle Outcomes

Value Rounding in Compensation Planning

In App Reward Letter Editor

Reward Letters

Peers Configuration Guide

Cycle Progress Dashboard Overview

Other Cycle Actions

 Compensation Planner

Market Data Connections Set up

Market Data Connections Overview

Integrations 101

Integrations

Adding Columns

Team View Overview

Team View Column Configuration

Team View Customizations

Re-ordering Columns

Deleting Columns

Team View Settings

Team View

Logging In

Custom Role Creation Guide

Creating an Account

How to add a colleague to Pave’s Market Data Platform

Market Data Role Management

Why does it matter to get levels and role families right?

SSO Configuration Guide

Account Setup

Contact Us

How much does Pave Market Data access cost?

How does Pave Work?

Intro to Pave

Pave 101

Compensation Philosophy

Total Compensation

Compensation 101

The Stock Option Lifecycle

ISO Tax Implications

The Basics of Stock Options

The Confusing AMT (Alternative Minimum Tax)

ISO Strategies

An Overview of How Stock Options Work

Equity 101

Account Creation Troubleshooting and FAQs

How to Benchmark Executive Compensation

Login Troubleshooting and FAQ

How does company size affect which department, job family and job level I should choose?

How does Pave determine a role level and role family?

What are Job Levels, Departments and Job Families? Why are they important?

Troubleshooting Rippling Zero Records Error

What Market Data Connections does Pave currently support?

FAQs

Getting Started

Survey aging

Edit and apply benchmarks

Set weights and logic

Map data sources to jobs

Supported survey providers

Manage Pave data sources

Manage survey data sources

Benchmarks overview

Step 2: Benchmarking

Band Sets

Pay Types: Calculated TDC, Annual Equity, and Refresh Equity

Manually Create New Band Sets

Bands Set Audit Log

How to duplicate band sets

Managing & Reordering Calculated Columns

Calculated Columns

Unmatched Employees

Upload/Download Bands

View changes

Editing Bands

Employee Distribution in Bands

Pay Zone Manager

Job Architecture 101

Grades

Setting up Company Job Architecture

Company Job Architecture

Step 1: Build Foundation

Generate Bands from Market Data

Bulk & Manually Associate Market Data to Bands

Step 3: Update Ranges

Relative Permissions

Generate Bands for New Jobs in Your Job Architecture

Compare Bands

Advanced Filters

Ongoing Management & Analysis

Market Pricing

Option Driver Deprecation FAQs

Option Driver

Option Impact Deprecation FAQs

Option Impact

Option Impact & Option Driver

Executive Reporting Dashboard

Cycle Monitoring and Reporting

Building Market-Based Compensation Bands

Employee Groups

Cycle Configuration

How does Recommendation Logic work?

Am I able to change another user’s permissions or login credentials while impersonating?

Compensation Cycle Data Upload

Share

Share

Compensation Cycle Data Upload

Share

Share