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The Aura Guide

Unlock workforce analytics with Aura

Reach out to Aura@Bain.com with any other questions

“How-to” Guides

See our step-by-step guides to get started with the Aura platform.

Get started - Diligence Module

Create a Diligence project on the Aura platform

Add companies/ merge subsidiaries

Overview of Dashboards available in Diligence Module

Customise your analysis

Improve role mapping using GPT models (ClassifAI)

  • Tutorial on how to leverage ClassifAI on Bain’s Sharepoint - HERE

FAQs

Click on the triangle on the left to expand and see the answers to the most commonly asked questions for Bain consulting teams

General Questions

Will the Aura team help in the cleaning and processing of the data and slide creation?

The Aura team can help pull custom datasets of more granularity for cuts that might not be available on the dashboards. We are also happy to jump on calls with Bain case teams for help with processing the data.

Please contact the Aura team for custom data pulls & support: Aura@Bain.com

If case teams require support with role mapping and slide creation, we recommend accessing Aura through BCN. Aura usage through BCN includes 1 free day of BCN support.

Alternatively, teams can also download Aura-powered 1-click reports from RAVE: https://rave.bain.dev/

What are the different ways I can use Aura?

Aura is available in a variety of ways:

  1. Aura’s online platform: http://app.aura.ceo/login
  2. Aura’s insight reports: https://www.getaura.ai/reports
  3. RAVE at Bain: https://rave.bain.dev/

Aura’s online platform is where you can access all the workforce data in one place with dynamic dashboards and easy .CSV download for your own top-down or bottom-up analyses

Aura’s insight reports are generated by the Aura team using our data on current hot topics (such as remote working trends, AI impact in industries) and delivered to your inbox monthly

RAVE is Bain’s 1-click report generator where you can download a short loop on workforce insights for companies of your choice in a matter of seconds. This can be accessed ony by Bain consulting teams

Pricing

What is the pricing structure for using Aura/ Diligence module?

Aura is free to explore and try out for all Bain consulting teams.

Using insights or data in final work (both client or internal) will incur a charge of:

  • $9.5K per client case
  • $3K per CD / IP case.
  • This includes access to all modules available on Aura, but most often the Diligence module. Billing is done at the end of every month and is based on an honour system of self-reported usage.

Lower-cost options are available if teams are using one specific module in Databox, Job Postings, or Sourcing modules.

Aura is also available through RAVE 1-click reports at $2.5K per project.

What is the pricing structure for using Databox?

We charge $0.75 per profile for up to 5K profiles or a flat $5K fee for any number of profiles up to 100K profiles.

What is the pricing structure for using the Job Postings dataset?

We charge 2-3K per project depending on the complexity of the data. Please reach out to the Aura team inquire: Aura@Bain.com

What is the pricing structure for using the Sourcing module?

We offer custom pricing on usage of the Sourcing module only. Please reach out to the Aura team inquire: Aura@Bain.com

Diligence Module

I added multiple companies to the Diligence project, why do I only see one company in the dashboards or downloaded data?

Please first check if you grouped them under one company on the page where you added companies. If you dragged and dropped them into the same group, they are treated as one company. This is a feature we have to ensure companies with subsidiaries are treated as one company, but sometimes separate companies get dropped in the same group by accident.

You can see a tutorial on how to add companies in the Diligence module here.

If you still only see one company after fixing that, please reach out to us at Aura@Bain.com.

Troubleshooting when you can’t find a company on Aura

A quick check you can do is to search for companies on the Aura platform using different combinations of the company name, such as:

  • Full name
  • Acronyms
  • Old names
Can you provide more details on the standard role mapping and its taxonomy?

Aura uses an algorithmic approach in mapping employees’ raw job titles to its standard role taxonomy. You can find all details on the three roles level taxonomy HERE.

Can I customize the role mappings and taxonomy?

The standard role mappings can be fully customized to your needs.

Using ClassifAI (Bain tool, search on Compass), you can now instantaneously classify a file of job titles into the classification of your choosing, and never have to go through this process manually again! Simply upload your list of job titles (from Aura) into ClassifAI’s classification module and you will have a newly classified list of job titles automatically.

  • First download your Aura .CSV
    • Go to Aura and navigate to the “Roles” tab.
    • Download your .CSV
  • Use ClassifAI’s Classification module to quickly categorize your job titles from Aura into broader job families (e.g., Sales).
  • Ensure you spot check your output
  • Finally, upload your classified .CSV
    • Navigate back to your diligence in Aura, go to the “Roles” tab, and upload your .CSV
    • Select your file with the completed classification
    • Ensure that your classified column is mapped to the “Custom Role” mapping
  • Please find HERE a tutorial on Bain’s Sharepoint
I am interested in getting industry level views. How can I get industry level data?

Using Diligence you can quickly create high-fidelity talent insights at company level. At this stage we don’t provide industry level analysis in the self-service Diligence module. Please reach out to us at Aura@Bain.com and provide as much details as possible on what your ask is, we might be able to help with custom analytics pull.

Databox

Why can I see profiles of people who joined/left the company recently on LinkedIn but this is not reflected on Databox?

Aura Databox has a monthly update cycle i.e., the data on the platform gets updated by our vendors every month. As a result, recent shifts / movements in the company may not be immediately reflected in Aura Databox search results.

Additionally, we often see that people forget to update their LinkedIn profiles regularly, which often leads to a fallacy of showing that one person has multiple active jobs. We have chosen to include people who have active roles in a particular company despite having more recent active roles in a different company in our search results in order to remain as comprehensive as possible in generating the list of profiles.

Aura’s Data

Why is there a significant difference (>20%) in the number of profiles outlined by company reports / LinkedIn Recruiter for certain companies vs. Aura?

Make sure you’re adding all the relevant subsidiaries!

There may be several reasons why there is a difference in the number of profiles outlined on LinkedIn vs. Aura

  1. Subsidiaries may not be included in Aura search results
  2. When searching for profiles on LinkedIn, the platform sometimes auto-includes several subsidiaries of the parent company within the data search (e.g. ….). In Aura, subsidiaries need to be manually included in the companies list to be a part of the search results. To include all subsidiaries, please type in each company name and then select it from the drop-down list generated to create a long list of companies.

  3. Aura may not have the data available in its source data set
    1. Aura is powered by data from vendors such as People Data Labs that acquire public profiles from sources such as LinkedIn. However, these vendors cannot offer full coverage of LinkedIn or other such networks and hence there may be a gap vs. the actual amount of available. Typically, Aura’s data has the best coverage (>80%) in

    2. English-speaking regions (US, Western Europe, India, etc.)
    3. Finance, Technology, and service focused industries
    4. Central functions / white-collar roles

While coverage in other areas may be lower/ not fully comprehensive, it is certainly still usable and relevant to get a good sense of the company.

Some of the industries outlined for the companies in my list don’t seem to be fully accurate – why would this happen?

We use the industries tagged in LinkedIn’s self-reported sections on their company pages.

Downloading CSVs

When I download the file in CSV format, everything shows up in 1 column – how do I make sure they are all properly organized?

This is an issue with Excel’s Text to Columns conversion format. To circumvent this, you need to open a blank Excel worksheet and import the CSV.

On a new blank CSV, in the Excel ribbon, Go to Data > From Text / CSV > Select the CSV file you have downloaded from Aura Databox > Click Load in the new window that opens. This should load all the data in the appropriate columns.

I ended up downloading the same data multiple times when trying to get the exact filter I needed – does this mean I will be charged cumulatively for all profiles across the downloads?

We understand that getting to the right dataset takes some hit and trial effort and hence may require multiple downloads. We will only charge you for the unique profiles that you download and use from Aura’s Databox.

I am testing and only added a couple of filters, but the CSV for download has 2 million rows, how can I open it?

We kindly ask you to refrain from downloading large csv files while you are testing. Please utilize more of our filters to narrow down your search. If you have any specific needs (e.g., tracking companies with large numbers of employees), please reach out to us at aura@bain.com.

Aura RAVE

What is the difference between the full Aura platform and Aura RAVE?

Here a few points to understand the difference between the Aura RAVE and the Aura full solution:

  1. Aura RAVE – Allows you to get a rapid view of a number of standard and frequently used workforce insights at company level. Among other metrics, you'll get employee count, attrition rate, tenure, growth, geographic split etc.
    1. Sample slides at this link.
  2. Aura full platform – Allows you to get detailed and highly customizable view on companies’ workforces. On top of the Aura RAVE you’ll get access to over-time views, ability to dig deeper into job roles, geographical cuts, etc. Furthermore, it gives you options to make customization such as role mapping, raw data download at profile and aggregated level, etc.
    1. Sample output include Aura - case studies in PEG and Aura - case studies in GP/CD

Deep-dive on Aura Data

Everything on Aura’s data sources, coverage, and update

Where does Aura’s data come from?

Aura is powered by data from external vendors that acquire public profiles, from sources such as LinkedIn, job postings and salary from online job boards.

What is Aura’s data coverage?

Typically, Aura’s data has the best coverage (>80%) in:

  • English-speaking regions (US, Western Europe, India, etc.)
  • Finance, Technology, and service-focused industries
  • Central functions / white-collar roles

While coverage in other areas may be lower/ not fully comprehensive, it is certainly still usable and relevant to get a good sense of the company.

How up-to-date is Aura’s Data?

  • Diligence module - updated monthly
  • Databox - updated monthly
  • Skills & Capabilities - updated monthly
  • Job postings/ Salary - updated weekly