{"id":79383,"date":"2024-04-30T17:02:33","date_gmt":"2024-04-30T16:02:33","guid":{"rendered":"https:\/\/www.bullhorn.com\/uk\/?page_id=79383"},"modified":"2025-06-25T14:11:41","modified_gmt":"2025-06-25T13:11:41","slug":"spring-clean","status":"publish","type":"page","link":"https:\/\/www.bullhorn.com\/uk\/spring-clean\/","title":{"rendered":"Spring Clean"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"","protected":false},"author":403,"featured_media":82383,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"om_disable_all_campaigns":false},"class_list":["post-79383","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Spring Clean - Bullhorn UK<\/title>\n<meta name=\"description\" content=\"Gear up for growth with data hygiene strategies for recruitment agencies. 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Here&#8217;s a few examples of how Bullhorn can help:<\/h3>\n<ul>\n<li>Identify duplicate and incomplete data<\/li>\n<li>Develop dynamic dashboards highlighting data hygiene gaps<\/li>\n<li>Launch a survey collecting up-<span style=\"font-size: 1.7rem;\">to-date information<\/span><\/li>\n<li>Combine analytics with automation and receive a notification and take action<\/li>\n<li>Easily find the best candidates already in Bullhorn and avoid data duplication<\/li>\n<li>Make it agentic &#8211; use AI to automatically take action without human intervention<\/li>\n<\/ul>\n","links_title":"Related Products","links":false,"block_background":"block-bg-none","block_background_video_type":"url","block_background_video_url":"","block_background_video_file":false,"block_background_image":false,"block_background_overlay":false,"unique_id":"","block_option_custom_class":"","block_animate":false,"block_option_padding":["block-options-padding-remove-top"],"block_option_hide":[],"bg_lower_slant_color":""},{"acf_fc_layout":"card-grid","block_title":"","block_aria":"","block_subtitle":"","background_shape":"","background_shape_position":"left","parallax_fx":false,"title_position":"top","cards_bg_color":"bg-white","cards_border":false,"cards_per_row":"4","cards":[{"icon":"","icon_color":"green","line_title_with_icon":false,"inline_title":"","content":"<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-81475 size-full aligncenter\" src=\"https:\/\/www.bullhorn.com\/uk\/wp-content\/uploads\/sites\/2\/2025\/04\/Data-hygiene-Webinar-Social-Image.png\" alt=\"\" width=\"1200\" height=\"627\" srcset=\"https:\/\/www.bullhorn.com\/uk\/wp-content\/uploads\/sites\/2\/2025\/04\/Data-hygiene-Webinar-Social-Image.png 1200w, https:\/\/www.bullhorn.com\/uk\/wp-content\/uploads\/sites\/2\/2025\/04\/Data-hygiene-Webinar-Social-Image-768x401.png 768w, https:\/\/www.bullhorn.com\/uk\/wp-content\/uploads\/sites\/2\/2025\/04\/Data-hygiene-Webinar-Social-Image-300x157.png 300w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/><\/p>\n<p style=\"text-align: center;\"><a class=\"button\" href=\"https:\/\/www.bullhorn.com\/uk\/events\/5-ways-ai-can-take-your-database-to-the-next-level\/\" target=\"_blank\" rel=\"noopener\">Watch on demand<\/a><\/p>\n"},{"icon":"","icon_color":"green","line_title_with_icon":false,"inline_title":"","content":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-82381 size-full\" src=\"https:\/\/www.bullhorn.com\/uk\/wp-content\/uploads\/sites\/2\/2024\/05\/Spring-Clean-2025_Launch-Assets_V1_Social_3_1200x627-scaled.png\" alt=\"\" width=\"2560\" height=\"1338\" srcset=\"https:\/\/www.bullhorn.com\/uk\/wp-content\/uploads\/sites\/2\/2024\/05\/Spring-Clean-2025_Launch-Assets_V1_Social_3_1200x627-scaled.png 2560w, https:\/\/www.bullhorn.com\/uk\/wp-content\/uploads\/sites\/2\/2024\/05\/Spring-Clean-2025_Launch-Assets_V1_Social_3_1200x627-768x401.png 768w, https:\/\/www.bullhorn.com\/uk\/wp-content\/uploads\/sites\/2\/2024\/05\/Spring-Clean-2025_Launch-Assets_V1_Social_3_1200x627-1536x803.png 1536w, https:\/\/www.bullhorn.com\/uk\/wp-content\/uploads\/sites\/2\/2024\/05\/Spring-Clean-2025_Launch-Assets_V1_Social_3_1200x627-2048x1070.png 2048w, https:\/\/www.bullhorn.com\/uk\/wp-content\/uploads\/sites\/2\/2024\/05\/Spring-Clean-2025_Launch-Assets_V1_Social_3_1200x627-300x157.png 300w, https:\/\/www.bullhorn.com\/uk\/wp-content\/uploads\/sites\/2\/2024\/05\/Spring-Clean-2025_Launch-Assets_V1_Social_3_1200x627-1440x753.png 1440w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\" \/><\/p>\n<p style=\"text-align: center;\"><a class=\"button\" href=\"https:\/\/www.bullhorn.com\/uk\/data-hygiene-guide\/\" target=\"_blank\" rel=\"noopener\">Check out the data hygiene guide<\/a><\/p>\n"}],"block_background":"block-bg-none","block_background_video_type":"url","block_background_video_url":"","block_background_video_file":false,"block_background_image":false,"block_background_overlay":false,"unique_id":"","block_option_custom_class":"","block_animate":false,"block_option_padding":["block-options-padding-remove-top"],"block_option_hide":[],"bg_lower_slant_color":""},{"acf_fc_layout":"card-grid","block_title":"Hear from Bullhorn customers on how they drive data health strategies","block_aria":"","block_subtitle":"","background_shape":"","background_shape_position":"left","parallax_fx":false,"title_position":"top","cards_bg_color":"bg-white","cards_border":false,"cards_per_row":"4","cards":[{"icon":"","icon_color":"green","line_title_with_icon":false,"inline_title":"","content":"<p><script src=\"https:\/\/fast.wistia.com\/player.js\" async><\/script><script src=\"https:\/\/fast.wistia.com\/embed\/2zvh081s6r.js\" async type=\"module\"><\/script><\/p>\n<style>wistia-player[media-id='2zvh081s6r']:not(:defined) { background: center \/ contain no-repeat url('https:\/\/fast.wistia.com\/embed\/medias\/2zvh081s6r\/swatch'); 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However, outdated data can lead to inefficiencies and delays. A messy CRM makes tracking vacancies difficult, finding top talent challenging, and increases sorting time and back-office errors.\r\n\r\nA well-maintained CRM ensures smooth recruitment and improved business development. Top-performing agencies digitise their data, as highlighted in the 2024 Bullhorn GRID report.\r\n<a class=\"button\" href=\"https:\/\/www.bullhorn.com\/uk\/data-hygiene-guide\/\" target=\"_blank\" rel=\"noopener\">Check out the data hygiene guide<\/a>\r\nTo achieve your goals and set your consultants up for success, it's essential to clean your CRM. While it may seem daunting, I've broken down the process step by step for you so you can have a clean database in just 4 weeks:\r\n<h2><strong>Week 1: assessment and planning<\/strong><\/h2>\r\n<strong>Audit Current CRM Data:<\/strong> Commence by rigorously evaluating your current CRM setup. Sift through the existing database to pinpoint duplicate entries, outdated contacts who have left company records partial information and candidates who haven\u2019t had a note in over 3 years.\r\n\r\n<em>*Holly\u2019s Top Tip* Run each search and save the criteria as a favourite search. Any records that also fit this criteria will join the list, and you can refer back to this search at any point. When it\u2019s time to clean the data, you will know where to begin!<\/em>\r\n\r\n<strong>5 searches you should run are:<\/strong>\r\n<ol>\r\n \t<li>Vacancies open longer than 90 days<\/li>\r\n \t<li>Leads open longer than 30 days<\/li>\r\n \t<li>Candidates with no note added in the past 3 years<\/li>\r\n \t<li>Candidate with no email address and no phone number<\/li>\r\n \t<li>Contact has no email address and no phone number<\/li>\r\n<\/ol>\r\n<strong>\r\nDefine Data Standards and Protocols:<\/strong> Establish best practices for data entry, ensuring consistency and reliability across all records. Check your field mappings to see if any fields need to be made mandatory to ensure the correct data is added to the system; this really helps drive a data-first approach. You should also already have a data retention policy to govern the lifecycle of information within your CRM. Double-check that this is still up to date with legislation and relevant to your workflows.\r\n\r\n<strong>Set a goal:<\/strong> Set clear, actionable objectives for the clean-up effort, considering the size and complexity of your database. If you are using automation, the time taken for the clean-up should be significantly reduced as the system can do large amounts of it for you. Allocate time to involve your team to help them understand why you are carrying out this process and how this will improve their experience using the CRM when doing business development and finding top talent. Most importantly, you need to define what will happen to each record that needs cleaning.\r\n\r\n&nbsp;\r\n\r\n<em>*Holly\u2019s Top Tip* Make a list of the different records that need cleaning, e.g., Open leads older than 2 years, and then detail the recommended action, e.g., closing the lead. When you speak to other team members about what you will be doing and why, you will already be two steps ahead of how this process will work.<\/em>\r\n\r\n&nbsp;\r\n\r\n<strong>Approval process:<\/strong> I often encounter people who are scared to archive large amounts of data from the system. My advice is to help them understand that your business will have better results once the out-of-date records have been removed. You can always add a temporary status, e.g., \u2018to be removed\u2019, which may bridge the gap while you confirm system archiving from those not 100% sure.\r\n<h2>Week 2: data cleansing and de-duplication<\/h2>\r\n<strong>Remove Duplicate Records:<\/strong> Bullhorn Automation automatically provides you with an exportable of your duplicate records. If you don\u2019t have access to Bullhorn Automation make sure your team are trained on how to report a duplicate record so it can be merged accordingly.\r\n\r\n<strong>Remove outdated information:<\/strong> engage with candidates to refresh their profiles, ensuring all records reflect their current details. Archive data outside its retention period or remove it if it lacks relevance to present and future recruitment activities.\r\n\r\n<strong>Action those saved lists:<\/strong> Now it\u2019s time to start cleaning up those favourite searches.\r\n\r\nDepending on the record type will determine what action you need to take, you may need to close old jobs, approve current placements or archive out-of-date clients and candidates.\r\n\r\n<em>*Holly\u2019s Top Tip* If you have a large number of lists to clean, do them gradually so it isn\u2019t too overwhelming!<\/em>\r\n\r\n&nbsp;\r\n<h2>Week 3: Process Optimisation and Automation<\/h2>\r\n<strong>Review and optimise workflows:<\/strong> Analyse and refine your current recruitment workflows and get feedback from the sales team on how the system is delivering for them. Redefine these workflows emphasising speed and simplicity to further capitalise on getting results from your CRM and supporting your recruitment consultants.\r\n\r\n<strong>Implement automation:<\/strong> Identify routine tasks that can be automated, such as sending pre-screen forms to collect information, adding relevant skills based on job title and automatically closing jobs or leads after certain time periods. Not forgetting, you can also create automated notifications and tasks to keep track of important dates, ensuring your recruitment process and compliance stay on course.\r\n\r\n<strong>Test and refine new processes:<\/strong> after implementation of any new process or automation, methodically test the new automation and workflow improvements. Request feedback from your team and tweak the CRM or process where necessary to get the desired results.\r\n\r\n&nbsp;\r\n<h2>Week 4: maintenance and future-proofing<\/h2>\r\n<strong>Develop a continuous data maintenance plan:<\/strong> Establish a regular cycle for data quality audits so that CRM maintenance becomes an ingrained, ongoing practice rather than an annual chore.\r\n\r\n<strong>Train the team on best practices:<\/strong> Ensure your team is well-versed in the new standards and processes. Encourage an environment where data quality is everyone\u2019s responsibility, fostering a shared commitment to maintaining a pristine CRM.\r\n\r\n<strong>Evaluate the cleanup and plan ahead:<\/strong> Review the progress made against your initial goals and address any outstanding concerns. Discuss strategies to keep your CRM at the core of recruitment technology and processes.\r\n\r\nBy following these steps, you will not only clean your CRM but also pave the way for a more streamlined and profitable recruitment process. But remember, the journey doesn't end here, continue to foster the culture of proactive CRM maintenance so your team can see ongoing benefits.\r\n\r\nWant to learn more about making the most of recruitment technology? Connect with Holly here.\r\n\r\n&nbsp;\r\n\r\n<a class=\"button\" href=\"https:\/\/www.bullhorn.com\/uk\/data-hygiene-guide\/\" target=\"_blank\" rel=\"noopener\">Check out the data hygiene guide<\/a>\r\n\r\n&nbsp;","post_title":"Clear the path to success: clean your recruitment CRM within 30 days","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"clear-the-path-to-success-clean-your-recruitment-crm-within-30-days","to_ping":"","pinged":"","post_modified":"2024-05-11 18:50:03","post_modified_gmt":"2024-05-11 17:50:03","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.bullhorn.com\/uk\/?p=79483","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":82249,"post_author":"561","post_date":"2025-05-13 09:00:13","post_date_gmt":"2025-05-13 08:00:13","post_content":"<span style=\"font-weight: 400;\">AI. Automation. Predictive hiring. The latest recruitment tools can streamline everything from sourcing to placement, but only if your data is current and clean. Without clean data, even the most advanced tools underperform, causing delays, misfires, and lost opportunities.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">While cleaning up your database can seem overwhelming, it\u2019s a task every forward-thinking agency should prioritise. In this post, we\u2019ll explore why data hygiene is important, how dirty data can hurt your business, and how you can start making real progress today.<\/span>\r\n<h3><b>Why data hygiene matters<\/b><\/h3>\r\n<span style=\"font-weight: 400;\">Think of data hygiene as the foundation of your recruitment tech stack. It ensures your database is accurate, complete, and current. Clean data allows your team to quickly find the information they need, make smarter decisions, and streamline workflows. This means faster candidate placements, more responsive client interactions, and ultimately, stronger business growth.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">This matters now more than ever because of the rising demand for AI and automation in recruitment. AI-powered tools can help you source the best candidates, match people to roles faster, and even predict future hiring trends. But those tools can only be effective if they\u2019re pulling from a clean database. Accurate, consistent, and clean data enables smarter matching algorithms, more efficient sourcing, and automated administrative tasks that free up time for high-value activities.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">In other words, clean data increases the impact of every tool in your recruitment stack, driving better performance and higher results across the board.<\/span>\r\n<h3><b>How dirty data can cost you<\/b><\/h3>\r\n<span style=\"font-weight: 400;\">Bad data doesn\u2019t just sit quietly in your system. It creates duplicate work, leaves critical gaps, and causes missed opportunities. It wastes valuable time and resources your team could spend building relationships or closing deals.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">Most of the time, messy data comes down to good old fashioned human error. Whether it's typos, inconsistent formatting, or basic entry mistakes, data entered manually is prone to errors. And over time, these errors add up.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">Another issue is poor workflows. If your team isn\u2019t regularly updating the database, it can quickly become full of outdated information. Having a process for maintaining and updating your records regularly can help you stay on top of things. Inversely, requiring too many mandatory fields from your team can overwhelm them and result in missing or inconsistent data. It\u2019s a balancing act.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">Additionally, data from external sources can be improperly parsed or imported. A large chunk of your data may come from various platforms or integrations, and if those connections aren\u2019t accurate or up-to-date, it can result in incomplete or misplaced information.<\/span>\r\n<h3><b>Just start somewhere<\/b><\/h3>\r\n<span style=\"font-weight: 400;\">Cleaning up your database doesn\u2019t have to be overwhelming. In fact, the hardest part is simply <a href=\"https:\/\/www.bullhorn.com\/uk\/blog\/conquering-change-management-for-recruitment-agencies\/\">getting started<\/a>. It\u2019s easy to put off when it feels like a massive, all-or-nothing undertaking, which is why you should focus, instead, on small, consistent steps.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">You don\u2019t need a perfect plan before you begin. Start by focusing on what\u2019s most frustrating or holding your team back. Maybe that\u2019s duplicate entries, outdated contacts, or incomplete records. Choose one area and chip away at it. Each fix, however small, improves the system as a whole.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">As the clutter clears, things get easier. Tools work better. Teams move faster. Communication improves. And when your database starts working for you instead of against you, it becomes clear why the effort was worth it.<\/span>\r\n<h3><b>Master these best practices<\/b><\/h3>\r\n<span style=\"font-weight: 400;\">Your database is like a living system; it needs regular care to perform at its best. These proven strategies will help you strengthen data integrity, reduce friction, and maximise ROI across your tech stack.<\/span>\r\n<ul>\r\n \t<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Conduct regular audits. <\/b><span style=\"font-weight: 400;\">Schedule monthly or quarterly check-ins to identify duplicates, outdated records, or formatting issues. (Better yet, set up automations that can flag them for you.)<\/span><\/li>\r\n \t<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Adopt a database-first mindset. <\/b><span style=\"font-weight: 400;\">Before sourcing externally, make sure your team checks your CRM\/ATS. With advanced search tools, you can surface high-quality candidates you already have.<\/span><\/li>\r\n \t<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Streamline your tech stack. <\/b><span style=\"font-weight: 400;\">Bring all your data into one centralised platform. This helps you analyse how front-office efforts translate to business outcomes and measure ROI more effectively.<\/span><\/li>\r\n \t<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Balance tech with people. <\/b><span style=\"font-weight: 400;\">Use automation tools to merge duplicates or enrich profiles. But also assign clear ownership for ongoing data hygiene. The best results happen when humans and tech work together.<\/span><\/li>\r\n<\/ul>\r\n<h3><b>The bottom line<\/b><\/h3>\r\n<span style=\"font-weight: 400;\">Your recruiting tools are only as smart as the data that powers them. A little cleanup can unlock major results; think faster workflows, smarter targeting, and better performance across the board. Start small and start today.\u00a0<\/span>","post_title":"Deep clean your data: The hidden secret to supercharging your recruiting","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"deep-clean-your-data-the-hidden-secret-to-supercharging-your-staffing","to_ping":"","pinged":"","post_modified":"2025-05-12 21:32:44","post_modified_gmt":"2025-05-12 20:32:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.bullhorn.com\/uk\/?p=82249","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":81040,"post_author":"403","post_date":"2025-02-12 20:43:32","post_date_gmt":"2025-02-12 20:43:32","post_content":"","post_title":"Bullhorn's AI Toolkit","post_excerpt":"Your one-stop-shop for all things AI, from what staffing AI is to Bullhorn\u2019s approach to reimagining recruitment with AI infused everywhere.","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"bullhorns-ai-toolkit","to_ping":"","pinged":"","post_modified":"2025-02-13 14:20:14","post_modified_gmt":"2025-02-13 14:20:14","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.bullhorn.com\/uk\/?post_type=resource&#038;p=81040","menu_order":0,"post_type":"resource","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":77873,"post_author":"456","post_date":"2023-10-24 09:00:11","post_date_gmt":"2023-10-24 08:00:11","post_content":"<span style=\"font-weight: 400;\">GIGO: these four simple letters can lead to one almighty mess of an ATS.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">Mathematicians have known it for millennia; a small mistake at the beginning will inevitably lead to large errors. It was only at the advent of computer science that this concept got its own snappy acronym: <\/span><b>garbage in, garbage out.<\/b>\r\n\r\n<span style=\"font-weight: 400;\">Data integrity has become critical to success in today\u2019s binary world, where the sum of your organisational knowledge is represented in zeroes and ones. It allows for smooth operation and allows a recruitment agency to capitalise on automations, freeing team members up to do what they do best.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">What are the reasons for bad data, the dangers of it, and the perks of doing it right? Read on to find out.<\/span>\r\n<h2>Why data integrity matters<\/h2>\r\n<span style=\"font-weight: 400;\">When it comes to your database, bigger doesn\u2019t always mean better. Instead of wanting to know how many candidates you have in your database, clients are now asking questions like \u201cHow many candidates have you talked to in the last 90 days?\u201d or \u201cHow many could you reach out to with a job?\u201d And with a disorganised database, you may not have the answers to these questions.<\/span>\r\n\r\n<b>\u201cMost recruitment agencies are only engaged with about 10% of their database,\u201d<\/b><span style=\"font-weight: 400;\"> explains Robert Mann, Director of Sales &amp; Marketing at 3DIQ. \u201cAnd that number tends to go down as the pool of candidates goes up. If I was a business owner, and an agency came to me and said, \u2018We have a candidate pool of 10 million,\u2019 I probably wouldn\u2019t be interested. I\u2019d ask, \u2018How many of those can you get a hold of quickly? How fast can you engage with a good number of those candidates?\u2019 Those are the questions I\u2019d want answered.\u201d<\/span>\r\n\r\n<span style=\"font-weight: 400;\">A recruitment agency unaware of its data position is in a bad data position. The tell-tale signs of bad data may be all too recognisable: recruiters refusing to use the ATS to source candidates, candidates refusing to engage with your agency, and high unsubscribe rates on email, amongst others.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">But these are nothing more than symptoms. The challenge of data integrity is to treat the underlying cause.<\/span>\r\n<h2>Identifying data integrity issues<\/h2>\r\n<span style=\"font-weight: 400;\">The first step to a clean database is to get a sense of where your organisation is.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">A basic SWOT analysis (strengths, weaknesses, opportunities, and threats) is a great place to begin. This can help you to understand the data you\u2019re collecting, how you\u2019re collecting it, and what you\u2019re doing with it. It\u2019ll help you uncover the issues and how you might fix them. It\u2019ll also allow you to identify missing and incorrect data \u2013 the garbage in that leads to the garbage out.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">The idea is one of quality over quantity. If you want to realise the full power of your database, you need to remove any candidates that aren\u2019t in your pipeline. By focusing exclusively on those who are, you make your ATS\/CRM much more useful, to the point where recruiters are excited to search your database for talent.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">Put the spotlight on data intake processes. Think of every avenue by which information enters your database. Do accurate and robust processes apply to each intake? Does your entire team understand the importance of data integrity, and their role in ensuring it? This is a task that takes a village, after all \u2013 the effort can\u2019t be left to one person or team.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">Data is more than just the information that allows you to do your job. Because it facilitates automation, it can also be an extension of your brand, for better or worse. Think of a candidate name entered in all caps \u2013 data that is then used in an automated email to the recipient. \u201cHi SANDRA,\u201d it begins. The curtain covering your automated email process falls, and your reputation falls with it.<\/span>\r\n<h2>Tips for solving data integrity issues<\/h2>\r\n<span style=\"font-weight: 400;\">How do you solve the data integrity issues you uncover? Three main solutions go a long way to solving most.<\/span>\r\n<h3><b>1. Training and operationalisation<\/b><\/h3>\r\n<span style=\"font-weight: 400;\">Data integrity begins with the frontline workers tasked with collecting and managing it. For your recruiters, maintaining data integrity has obvious, tangible, and incredibly alluring benefits. Clearly outlining these benefits will incentivise your recruiters to do the right thing.<\/span>\r\n\r\n<b>\u201cYou need to create clear and concise processes and communicate them to your team,\u201d<\/b><span style=\"font-weight: 400;\"> explains Michelle Bousquet, VP of Organisational Effectiveness at Floyd Lee Locums. \u201cWe run a show, do, review system. We show our workers how to input, maintain, and utilise data, we get them to do it themselves, and then we review their work. We also capture that process to refer to it whenever needed.\u201d<\/span>\r\n\r\n<b>\u201cPlan your work, work your plan,\u201d<\/b><span style=\"font-weight: 400;\"> adds Paul Sabatino, Regional Sales Manager, Solutions Consulting at Kyloe Partners. \u201cOld habits die hard, so championing change requires a constant voice. Information breeds confidence; silence breeds fear. <\/span><b>Communicating your data practices early and often is critical.\u201d<\/b>\r\n\r\n<span style=\"font-weight: 400;\">Starting with the \u201cwhy\u201d is an effective strategy. By communicating to your recruiters that good data entry results in a wealth of manual and mundane tasks being completed automatically, it becomes an easy sell. They\u2019ll eventually realise this allows them to make more placements and work more effectively.<\/span>\r\n\r\n<b>\u201cWe had a recruiter who was a 30-year industry veteran. When she started, she was literally thumbing through Rolodexes and stacks of paper resumes,\u201d<\/b><span style=\"font-weight: 400;\"> says Billy Davis, Enterprise Customer Success - Automation and AI at Bullhorn. \u201cI showed her the importance of data integrity and what would happen if she committed to it. <\/span><b>Within just two weeks, despite being a senior member of the organisation, she became my number one data quality recruiter.\u201d<\/b>\r\n\r\n<span style=\"font-weight: 400;\">Recruiting is so much easier when quality data backs you up. When your team sees what\u2019s in it for them, you\u2019ll have no trouble encouraging adoption of good data hygiene habits.<\/span>\r\n<h3><b>2. Structured data<\/b><\/h3>\r\n<span style=\"font-weight: 400;\">Data collection demands a game plan. Take a couple of days to map out what you hope to achieve with your data. Form an eagle-eye view of how you want to move a candidate through the entire lifecycle and the steps you\u2019ll need. Set a goal to shoot for, then design all your processes around that goal. All of this will help you determine the information essential to collect.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">It\u2019s important to start small with your data collection process. At the beginning, ask for no more than six or seven pieces of information \u2013 any more than that, and you risk losing a candidate before you even begin. From that initial touchpoint, continue to build out the profile over time. <\/span><a href=\"https:\/\/www.bullhorn.com\/connected-recruiting\/nurture\/\"><span style=\"font-weight: 400;\">Nurture the relationship<\/span><\/a><span style=\"font-weight: 400;\"> to get those \u201cnice to have\u201d pieces of data that add color to the \u2018must haves\u2019 collected at the beginning.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">Taking a structured approach to data collection helps to build trust. If your first contact in two years is an email asking for an updated resume, a candidate is unlikely to send it. But by keeping in contact over that period, sending out surveys and asking for updates, a candidate will be more open to your advances.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">A good way to enhance your data collection efforts is to go through your own candidate process. Work to understand the pain points and remove friction wherever possible.<\/span>\r\n<h3><b>3. Data hygiene<\/b><\/h3>\r\n<span style=\"font-weight: 400;\">Collecting structured data is one thing. Keeping it updated is quite another. The better the integrity of the data, the more automation possibilities, so this effort offers incredible rewards.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">Cleaning your database can seem monumental, so starting with some easy wins is important. Contact information is vital \u2013 there\u2019s no point in having a candidate in your system if you can\u2019t reach them \u2013 so begin by removing records with no phone number or email. Checking and correcting statuses is another simple yet incredibly effective way to improve the health and hygiene of your ATS\/CRM.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">There are several automations that can help you in this effort. Resume parsing tools are a great example, as they allow a candidate to essentially update their own information. You can use automations to remove instances of duplicate entries by copying information automatically from one field to another and to remind people that they forgot to do something through emails, texts, or notes.<\/span>\r\n<h2>Becoming a data integrity success story<\/h2>\r\n<span style=\"font-weight: 400;\">What can an agency expect if they were to follow through on all the advice laid out above? Davis offers some real-world examples.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">\u201cWe had an agency that got rid of half a million bad, parsed-in entries that didn\u2019t have any information. They transformed their database from huge and largely useless to a lean one that their recruiters were excited to use.<\/span>\r\n\r\n<b>\u201cI\u2019ve also seen five- or six-recruiter agencies functioning at higher levels than 100-recruiter agencies, purely based on the automations that quality data facilitates. <\/b><span style=\"font-weight: 400;\">You can get some really cool and complex stuff happening, but it all comes from a foundation of good data and process.\u201d<\/span>\r\n\r\n<span style=\"font-weight: 400;\">By avoiding GIGO, you\u2019ll enjoy QIQO \u2013 quality in, quality out \u2013 and the endless possibilities such a situation brings.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">As Sabatino noted, <\/span><b>\u201cData and automation success comes in many shapes and sizes. The worst thing you can do is nothing at all.\u201d<\/b>","post_title":"How to become a data integrity success story","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"how-to-become-a-data-integrity-success-story","to_ping":"","pinged":"","post_modified":"2023-10-23 21:14:50","post_modified_gmt":"2023-10-23 20:14:50","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.bullhorn.com\/uk\/?p=77873","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":77065,"post_author":"163","post_date":"2023-08-03 09:00:22","post_date_gmt":"2023-08-03 08:00:22","post_content":"<span style=\"font-weight: 400;\">From news headlines to technology reports, you\u2019ve likely seen the buzz surrounding AI and its impact on our daily lives. It can be easy to get caught up in the excitement of new innovation and the possibilities that generative AI tools offer, but what will the advancements in AI actually mean for recruiting? And how can you make sense of all the fast-paced updates to uncover how AI \u2013 and automation \u2013 can actually help transform your business?<\/span>\r\n\r\n<span style=\"font-weight: 400;\">Understanding the unique applications of these technologies is crucial for recruitment industry pros to effectively leverage each to streamline, optimise, and ultimately transform how they work with candidates, clients, and colleagues.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">Read on for an overview of automation and AI and to explore their impact and potential in the recruitment industry.<\/span>\r\n<h3><b>Comparing automation and AI<\/b><\/h3>\r\n<span style=\"font-weight: 400;\">While automation and AI share some similarities, it's essential to understand their distinctions.\u00a0<\/span>\r\n<ul>\r\n \t<li><b>Automation<\/b><span style=\"font-weight: 400;\"> focuses on process optimisation and efficiency by reducing (or eliminating) repetitive tasks.<\/span><\/li>\r\n \t<li><b>AI <\/b><span style=\"font-weight: 400;\">is a tool to augment other automation processes. It focuses on leveraging intelligent algorithms to make data-driven decisions.<\/span><\/li>\r\n \t<li><b>Generative AI <\/b><span style=\"font-weight: 400;\">can build new content, enhancing creativity and enabling better, faster candidate and client interactions.<\/span><\/li>\r\n<\/ul>\r\n<span style=\"font-weight: 400;\">By integrating these technologies, recruitment agencies can create a powerful synergy that enhances their overall operations, improves candidate experience, and drives business growth.<\/span>\r\n<h4><b>Streamlining operational efficiency with automation<\/b><\/h4>\r\n<a href=\"https:\/\/www.bullhorn.com\/uk\/products\/recruitment-automation\/\"><span style=\"font-weight: 400;\">Automation<\/span><\/a><span style=\"font-weight: 400;\"> enables users to reduce or eliminate repetitive tasks and streamline operational efficiency using technology. In the recruitment industry, automation plays a significant role in optimising processes such as resume screening, candidate sourcing, and data hygiene.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">By leveraging automation tools and software, recruitment agencies can save time, reduce manual errors, and focus on high-value activities such as candidate engagement and relationship building.<\/span>\r\n<h4><b>Enhancing decision-making with artificial intelligence (AI)<\/b><\/h4>\r\n<span style=\"font-weight: 400;\">AI refers to technology performing tasks that typically require human intelligence, such as problem-solving, natural language processing, and pattern recognition. AI is often layered on top of automation to further optimise automated tasks.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">In the recruitment industry, AI-powered applications can analyse large volumes of data, extract meaningful insights, and make data-driven decisions. AI algorithms can identify trends, predict candidate success, and match candidates with job opportunities based on their skills, experience, and cultural fit. This empowers recruiters to make more informed hiring decisions, ultimately improving submission quality and reducing time to fill.<\/span>\r\n<h4><b>Unlocking creativity and innovation with generative AI<\/b><\/h4>\r\n<span style=\"font-weight: 400;\">Generative AI takes artificial intelligence a step further by enabling machines to create original and unique content, such as text, images, or even music.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">In the recruitment industry, generative AI can be used to create compelling job descriptions, write personalised candidate outreach messages, and build engaging content for social media campaigns.\u00a0<\/span>\r\n\r\n<span style=\"font-weight: 400;\">By leveraging generative AI, recruiters can unlock creativity, save time on content creation, and deliver more impactful and personalised messaging to candidates and clients at scale.<\/span>\r\n<h3><b>Considering the implications of these technologies<\/b><\/h3>\r\n<span style=\"font-weight: 400;\">When implementing automation or AI in the recruitment industry, several considerations are worth keeping in mind. First, data privacy and security should be paramount to protect candidate and client information. With greater reliance on automation and AI comes an increased vulnerability to cyber threats. These cutting-edge systems can be targeted by those trying to steal sensitive data or even manipulate AI decision-making.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">Robust cybersecurity measures, continuous monitoring, and proactive threat detection are critical to safeguarding AI-powered infrastructures. A well-secured AI ecosystem ensures that the potential benefits of automation are not outweighed by the risks. This is especially important with generative AI, which relies on data inputs to create content. It\u2019s important to ensure protections are in place when sharing information about candidates with a generative AI provider.\u00a0<\/span>\r\n\r\n<span style=\"font-weight: 400;\">Additionally, ethical considerations surrounding AI should be addressed to ensure fair and unbiased decision-making. Since AI models are trained on historical data, they may inadvertently inherit biases present in the data, leading to unfair and discriminatory outcomes.\u00a0<\/span>\r\n\r\n<span style=\"font-weight: 400;\">To address this, AI developers must meticulously audit and analyse data, implementing techniques to reduce bias and promote fairness. AI users within recruitment\u00a0must also keep bias in mind as they review suggestions made by AI, particularly when it pertains to candidate resumes and engagement strategies.<\/span>\r\n\r\n<span style=\"font-weight: 400;\">By embracing these technologies, recruitment agencies can gain a competitive edge, improve candidate experience, and drive business growth. As the industry continues to evolve, staying informed about these technologies and their applications will be crucial for staffing professionals to thrive in the digital age.<\/span>\r\n\r\n&nbsp;\r\n\r\n<hr \/>\r\n\r\n<span style=\"font-weight: 400;\">Ready to hear more about AI and the recruitment industry? <a href=\"https:\/\/www.bullhorn.com\/uk\/subscribe-to-blog\/\">Subscribe to Bullhorn content<\/a> to be the first to know about our latest AI developments.<\/span>","post_title":"Understanding automation, AI, and generative AI in the recruitment industry","post_excerpt":"Read on for an overview of automation and AI and to explore their impact and potential in the staffing industry.","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"understanding-automation-ai-and-generative-ai-in-the-recruitment-industry","to_ping":"","pinged":"","post_modified":"2023-08-16 03:35:42","post_modified_gmt":"2023-08-16 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