{"id":59352,"date":"2019-07-04T11:22:14","date_gmt":"2019-07-04T10:22:14","guid":{"rendered":"https:\/\/www.bullhorn.com\/eu\/?p=59352"},"modified":"2019-07-08T12:26:29","modified_gmt":"2019-07-08T11:26:29","slug":"how-is-your-recruitment-database-like-my-trainer-collection","status":"publish","type":"post","link":"https:\/\/www.bullhorn.com\/eu\/blog\/how-is-your-recruitment-database-like-my-trainer-collection\/","title":{"rendered":"What Do My Trainer Collection and Your Recruitment CRM Have In Common?"},"content":{"rendered":"

I don\u2019t remember when it started, but I order trainers so often I can\u2019t keep track. I always need a new pair \u2014 or is it I always want a new pair? Do we even know the difference between what we need, what we want and what we do out of habit? At Bullhorn, I work with Recruitment Databases. I regularly order trainers to the office and end up with a small collection of shoe boxes under my desk, this made me realise how similar my trainer collection is to a database full of candidates. <\/span><\/p>\n

So here are my struggles and how to deal with a big recruitment database (or trainer collection).<\/span><\/p>\n

The bigger, the better?<\/b><\/h3>\n\"\"\n

My current trainer collection is so big it raises the question: Is it a collection or is it an addiction? Some recruiters suffer from the same symptoms. They have a database full of candidates but keep filling it up with more and more data. Have we now unknowingly declared quantity as a victor in the battle against quality? Are recruiters that have a bigger database the real winners? Surely not. <\/span><\/p>\n

A pair of trainers can be cheap, but that will never signify the benefit and quality it will bring me. I undoubtedly will always be looking for a quality pair, just like recruiters will always be looking for a good candidate. But for every purchase or every addition to the database, another gets lost, which will turn into \u2018how much more can I get?\u2019 But bigger doesn\u2019t mean better. <\/span><\/p>\n

The diamond in the dirt<\/b><\/h3>\n

Maybe we think having new additions and more choice will help or benefit us somehow. However, this doesn’t mean the job will get done any better. Is there anything wrong with looking to an existing collection before considering external options? I used to never ask myself this and I would immediately go onto ASOS<\/a>. It\u2019s become a force of habit to buy for the sake of buying, add instead of using what I already had. Instead, I should think about what I need the trainers for, and to then look through my existing collection first for a quality pair that will do the job.<\/span><\/p>\n

I must admit\u2014the days of looking through my trainer collection to find what I need is a rarity. But when I do, I always find a pair that I love that escaped my mind. This is similar to a pool of candidates within a database. Because it\u2019s now become so cluttered, it\u2019s so difficult to locate the diamond amongst all the dirt. <\/span><\/p>\n

Transform old habits<\/b><\/h3>\n

I could easily open up my saved items on ASOS or even run a quick search for the new arrivals and immediately get sucked into the same old habits and the same old routines. Those job boards with all those candidates sitting there, waiting for you to come and get them is hypnotising. It lures you in, and you quickly fall back into old habits. <\/span><\/p>\n

But what about the hidden gems within? The trainers hidden under my bed, or in my wardrobe, the candidates saved in your database who haven\u2019t been contacted or updated in a long time. What if my initial thought was to search my home for trainers, and your initial thought would be to search your database for candidates? What if these became our new habits instead? Surely this would save a lot of time and effort, searching for something in amongst what you already have. Not to mention the amount of money you will save not wasting time on finding a candidate on a job board you already have, or one with the same qualities as another already in your database.<\/span><\/p>\n

Manage your database efficiently<\/b><\/h3>\n

It\u2019s no secret that outsourcing is a manual and costly job. You\u2019ll spend a lot of time and money on outsourcing against a much quicker, cheaper, and easier internal search for what you need. If we were to re-evaluate our processes and step away from our \u2018bad\u2019 habits, surely we can find a way to become more efficient.<\/span><\/p>\n

Maybe it\u2019s time to cleanse your candidate database<\/a> and maybe it\u2019s time for me to get rid of those trainers I don\u2019t actually need. By changing our habits we can save time, money and effort, but still find the quality we need. How about we flip the script for a change and oppose the same old processes? There are so many question marks and \u2018what ifs\u2019 that we can so easily do something about. Taking care of what we already have could just be the answer.<\/span><\/p>\n

\n

Why not join us at Engage London 2019 for more top tips, key insights, and product training to help you make the most of your recruitment CRM and better manage your database? Register today!<\/a><\/p>\n

Register For Engage London 2019<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

My trainer collection and your recruitment database might have more in common than you’d think. Are you making the most of your existing collection, or – like me – do you favour looking at external options over what you already have at your fingertips? <\/p>\n","protected":false},"author":174,"featured_media":59354,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"om_disable_all_campaigns":false,"footnotes":""},"categories":[],"tags":[],"class_list":["post-59352","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\nWhat Do My Trainer Collection and Your Recruitment CRM Have In Common? - Bullhorn EU<\/title>\n<meta name=\"description\" content=\"My trainer collection and your recruitment database might have more in common than you'd think. 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