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The Aura Guide (Including FAQ)

Unlock workforce analytics with Aura

Get started now with our how-to guides, FAQ, and a deep dive into our data

Contact the Aura team: aura@bain.com

“How-to” Guides

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

  1. Overview of all Aura modules
  2. Diligence Module
    1. Understanding Dashboards
    2. Custom role mapping
    3. Custom role mapping - Excel upload (new!)
  3. Databox Module
  4. Sourcing Module
  5. Job Postings Module

FAQ

Click on the triangle on the left to expand and see the answers to the most commonly asked questions

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 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, subscribe at: aura@bain.com
  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.

Pricing
What is the pricing structure for using the Aura platform?

Aura is free to explore and try out for all Bainies.

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 1 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 module?

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

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.

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.

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 - updated weekly

How is Aura’s data structured?

  1. Roles taxonomy
  2. Sourcing module data structure
  3. Job Postings module data structure