Learn how your data could prevent your Bullhorn automations from running smoothly and limit the return on your investment.

Is your data ‘breaking’ your automations?

As automation continues to be ‘the’ thing in the world of recruitment tech, users are reporting huge amounts of time saved and efficiencies created.

If automation is the new trend everyone wants to be involved in, data is its less cool sidekick… but it’s also the key to making those automations work. If you’re using automations, or thinking about incorporating this into your processes, then trust us – you NEED to be including data cleansing as part of your plan!

The impact of 'bad' data on recruiting automation

Dirty data is inevitable, and it often happens without you even noticing - 62% of organisations rely on data that’s up to 40% inaccurate. Here are some key examples of how this can affect your recruiting automations…

Example 1: Checking in with clients

The data challenge: Duplicate records

The detail:

The same client has entered your CRM in three different ways, meaning there are duplicate records. This results in your automation sending the same email three separate times.
We all hate getting spam emails; if you send the same email multiple times to the same person you risk damaging your reputation, and them unsubscribing completely.
It also skews your automation reports – you might think you’ve contacted three different people, for example, when you’ve only actually reached one.

The fix: Merge duplicate records to ensure you’re starting with only one clean record.

Example 2: Candidate survey

The data challenge: Outdated / inactive records

The detail:

You run a marketing led survey on the candidates in your database. There are hundreds of thousands of records in there, so you are expecting a good reply rate. But the responses you get end up being far less than anticipated.
After digging into the list of people targeted, you realise that there’s a lot of people on there who you haven’t engaged with for a long time.
This raises a bigger conversation where you are going to need to do a serious clean up on these stale records.

The fix: Search for candidates that you haven’t spoken to within a specific timeframe and set them to ‘Archived’ so that you can start excluding them from your automations.

Example 3: Targeting candidates with specific skills

The data challenge: Out of date skills

The detail:

You have a developer role you need to fill so you’ve setup an automation to target candidates with specific skills.
After setting the automation live you realise it’s reaching a lot less candidates than you had expected. You then realise that the primary and secondary skills on your records are out of date and don’t match what you included on the automation.
This means a lot of your candidates are missed from the automation, even though they’d be a great fit.

The fix: Create a hotlist containing candidates with both then primary and secondary skills and mass update them for the records on that list.

How you can action these fixes and much more

Kyloe DataTools gives you everything you need to dedupe, identify stale records, and make mass updates to your data with ease:

Merging duplicates

Kyloe DataTools lets you merge duplicates your way - you are always in control!

Choose to merge them individually or as a mass update with up to 1,000 records in one go. You can even automatically scan for duplicates overnight and have a list of master records and potential duplicates ready to approve for merging in the morning

Finding outdated records

Are your Bullhorn searches returning results that are missing key information, effectively making them useless? Or maybe you’re fed up of getting results crammed with people that you haven’t connected with for a while?

With Kyloe DataTools you can easily identify patchy and outdated records so that you can start to complete them or eliminate them from your searches.

Making bulk updates

Up until recently, bulk updates involved time-consuming manual processes, or costly third-party projects. Kyloe DataTools puts you in charge of your data and allows you to roll-out bulk updates in Bullhorn quickly and easily.

There’s even a revert button to undo and restore your data within 30 days, if you should make any mistakes.

What our clients say...

We use Kyloe DataTools, and particularly DataRules, on a daily basis; the data manipulation capabilities are very powerful. It’s part of the process we go through when building a new Herefish automation – we always look at what data changes are needed to make sure the automation works as intended.”

Dan Brazier, Managing Director - HiPo

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If you'd like to find out more about how Kyloe DataTools can help your automations run smoothly contact us to book a demo.

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Learn how your data could prevent your Bullhorn automations from running smoothly and limit the return on your investment.

Is your data ‘breaking’ your automations?

The impact of 'bad' data on recruiting automation

Example 1: Checking in with clients

Example 2: Candidate survey

Example 3: Targeting candidates with specific skills

How you can action these fixes and much more

What our clients say...

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