## Overview

**Calculated benchmarks** are values that are computed using a combination of Pave's real-time data, geo-differentials, level progressions, job family relationships, and other regression models.

Compensation data has a number of strong patterns. US jobs pay more than equivalent roles in the UK. Higher levels get paid more than lower ones. Our team of data scientists leverage machine learning to identify these patterns across our entire dataset and then combine this deep understanding of the trends we see across the market with the raw data in and around a specific benchmark to produce a calculated benchmark in cases where robust market data is not available.

**Raw benchmarks**, which are also available in Pave, aggregate compensation information pulled directly from the HRIS to produce the various percentiles available within the application.

For each slice of market data, we compute a calculated benchmark and compare that against the raw benchmark if it exists. In cases where both a raw and calculated benchmark are available, we display whichever benchmark has a higher level of consistency on our Consistency Scale, in order to provide you with the most reliable set of market data. [Learn more about our Consistency Labels here.](https://brainfi30.brainfish.ai/en-us/articles/consistency-labels-A00l81n5JU)

## Where to Access

When using the product, you’ll be able to identify whether a given benchmark is raw or calculated in a few different ways.

* If calculated values are present in the table view, they will be underlined to help you quickly recognize them.

   ![](https://support.pave.com/servlet/rtaImage?eid=ka0TV0000001kOz&feoid=00NUn00000C06g9&refid=0EMTV00000EpEnF)


* Consistency labels will identify whether a benchmark is calculated, along with the sample sizes within each slice of data. You can click

 ![](https://support.pave.com/servlet/rtaImage?eid=ka0TV0000001kOz&feoid=00NUn00000C06g9&refid=0EMTV00000Ep9As)

* Reports generated will include columns that identify whether each benchmark is raw or calculated, along with the consistency label

 ![](https://support.pave.com/servlet/rtaImage?eid=ka0TV0000001kOz&feoid=00NUn00000C06g9&refid=0EMTV00000EpEqT)For more information on Consistency Labels labels, please view our article on [\*\*Explaining Consistency Labels](https://brainfi30.brainfish.ai/en-us/articles/consistency-labels-A00l81n5JU).\*\*

For insight into how we calculate these benchmarks, please view our **[Calculated Benchmarks FAQ](https://brainfi30.brainfish.ai/en-us/articles/calculated-benchmarks-faq-rphzRWaw7n)**.

Calculated Benchmarks

Advanced Equity

Global Location Insights

Market Data Pro

How to Search for a Benchmark

Market Data Compensation Database Coverage

Market Data Methodology Overview

Market Data 101

Consistency Labels

Job Families

Compensation Types

Data Collection and Aggregation

Percentiles

Filters

Pave's Data

Consistency Labels FAQ

Data FAQs

Calculated Benchmarks FAQ

Location and Global Data FAQs

Equity Practices FAQs

Market Data FAQs

Market Data

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

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

Compensation Cycle Data Upload

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

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?

Calculated Benchmarks

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