Data Hygiene: Is the Data In Your Internal CRM Healthy?

Data hygiene is a phrase many people aren’t familiar with, or in most cases, have heard of it but don’t know what it means.

So what is data hygiene?

When discussing data hygiene, you’ll want to look primarily at your internal marketing CRM (customer relationship management). At the most superficial level, this means reviewing your data from your contacts, such as customers, subscribers, and leads, from click counts and open rates to campaign conversions.

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Data hygiene is the best way to prevent any loss of information, whether internal theft, tampering by third parties, or some more obscure but equally damaging type of corruption.

What are the indicators of healthy data?

Data hygiene is often divided into three categories: data validity, data integrity, and data provenance. Within each of these areas, there are several indicators that you can follow to ensure that you are using the data in your database in the most efficient way possible.

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Indicators of healthy data are:

Integrity
Provenance
Validation

Data Integrity

Data integrity essentially means that the data within your database is correct, updated within the accurate timeframes, and remains unmodified unless necessary.

Data Validation

The process of checking the data you’re storing is correct, up-to-date, and relevant; for example, updating a candidate’s address and contact details.

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Data validity requires your data to be consistent, coherent and provided in a format understandable by your systems. For example, if you entered ‘25000’ as a candidate’s salary, the CRM automatically returns the value in the correct format (£25,000).

Data Provenance

Data provenance involves tracing the data journey through your systems from when a user entered it into the database, the channel it was sourced from, and by whom.

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The more specific your tracking, the more likely you find any relevant discrepancies. In some cases, it is possible to trace specific pieces of information from point to point through your data.

Why are data quality and healthy data important in recruitment?

When evaluating the quality of your candidates, the most valuable thing you have to start with is their CV.

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So, when scanning the CV of potential applicants, what do you look for? Do you have candidates whose profiles are either missing vital information or haven’t been updated? Do you have duplicate candidates within the same applicant pool?

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Essentially, a recruiter’s role is to source a candidate, qualify them against leads and prospective jobs, and accurately assess the candidate’s suitability to fill the role. With unhealthy data, it’s considerably more complicated to conduct searches efficiently.

What are the leading causes of data problems?

Every organisation and industry is different, but most problems stem from a single source; unhealthy data.

Insufficient Data

If there’s no information, how can you assess the candidate? With insufficient data, it becomes difficult to handle. A candidate profile can contain incomplete or potentially misleading information. On the flip side, the absence of data in some cases can make it challenging to understand the application and candidate performance.

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A more structured approach guarantees you only collect the data you need and want while still providing an optimal candidate experience.

Lack of Organisation

Perhaps you have multiple databases that store the same information or your current database stores random datasets that are irrelevant to your recruitment issues.

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These issues are commonly a result of poor workflows and inadequate documentation, all of which can be solved by producing training materials and correctly onboarding team members.

What are the main ways in which you can tackle this?

Suppose you use tools like AI and machine learning for boolean searches or to build candidate profiles. In that case, you must train recruiters to leverage tech correctly if you hope to drive maximum tech adoption and ensure you get the most out of your databases.

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For example, in order to maximise SourceBreaker’s impact, we have a dedicated customer success team who work to inform, update, and support you on your digital growth journey.

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Offering strategic initiatives to drive adoption, onboard agents, track success, and maximise platform impact, SourceBreaker provides customers with ongoing training sessions, workshops, and a monthly management check-in to ensure the insights we’re providing you are healthy but maximising success.

Leveraging AI in Recruitment: How Tech Layoffs Create Opportunity

In light of the recent tech layoffs, recruiters (and therefore candidates) have been presented with a unique opportunity to leverage AI-powered recruitment technology to assist laid-off candidates in landing their dream roles and supercharge their search by empowering their team(s) with lightning-quick results.

Tech Layoff in Numbers

According to stats compiled by layoffs, 50,000+ employees across 185+ tech companies have been laid off in January alone, with tech giants like Google, Meta, Amazon, and Microsoft laying off a total of 10,000 – 12,000 employees each in the last few months.

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However, while this can be an overwhelming and difficult experience for those affected, it also provides those candidates with the opportunity to break into fresh roles that are more suited to their skill sets, cultural expectations, and align more with their current lives.

What Mass Layoffs Mean for Recruiters

According to a report published by NashSquared, 52% of respondents expect tech budgets to increase in 2023, a positive sign for the recruitment industry, as it suggests that companies will be looking to hire and invest in new people and tech.

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But how does this benefit recruiters?

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It’s because AI-powered recruitment technology, like our all-in-one SourceBreaker platform, can help recruiters take advantage of this influx of job-seekers through streamlined sourcing, automated lead generation, and informed candidate outreach.

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By allowing your team(s) to source candidates at lightning-quick speeds, you’ll be sure to beat your competition to new sales opportunities, stay ahead of the curve, and ensure you capitalise on the layoffs.

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Not only is this beneficial for recruiters, but it also ensures that candidates are paired with lucrative roles that match their skill sets – all of which is especially important in today’s economy, where candidates may be tempted to take any job they can find out of desperation.

RecTech a Solution to Tech Layoffs

Rectech assists recruiters in sourcing candidates quickly and efficiently but also helps improve the overall recruitment process. Recruiters can use AI to automate tasks such as resume screening, scheduling interviews, and conducting initial candidate assessments – saving your team(s) significant time and resources while still effectively screening candidates.

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Another major benefit of SourceBreaker – or any recruitment technology – is its ability to use algorithms and data to make decisions instead of relying on human judgement, therefore reducing unconscious bias and promoting a fair and equitable recruitment process for all candidates alike.

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Moreover, these technologies can also provide laid-off candidates with a more personalised job search experience. With SourceBreaker, recruiters can receive targeted job recommendations based on their candidate’s skills and qualifications, with real-time updates on the status of their applications.

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This streamlines the candidate’s job search process and improves the chances of securing them the right role, something incredibly important to someone who’s just been laid off and may be in a difficult position.

Layoffs Don’t Have To Be Terrifying

In summary, the tech layoffs present candidates with a chance at a fresh start somewhere more suitable for them and recruiters with an opportunity to source top talent quickly and efficiently, and AI-powered recruitment tools provide an effective way to take advantage of this situation. By streamlining tasks, reducing bias, and providing a personalised job search experience, AI-powered recruitment tools can help recruiters to find the best candidates for open roles, more quickly and efficiently.

TL;DR Key Takeaways

Tech layoffs have created new opportunities for recruiters to find top talent
AI-powered recruitment technology can help recruiters take advantage of the influx of job-seekers
AI can reduce bias in the hiring process and provide a more personalised job search experience for candidates
AI-powered recruitment tools can help companies find the best candidates more quickly and efficiently, leading to improved retention rates and a better candidate experience.