Recruitment Nowadays – All you need to know to get started

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Nowadays, let’s say, recruiting for a single position has become a headache for clients. Job opportunities get circulated across by intermediaries.

  • Outstanding large pool of candidates through every portal for a single vacancy makes it difficult
  • To later scrutinize lots of aspects at the same time out of that large pool of candidates makes it even more difficult.
  • Responding to non selected candidates can also be a tiresome process
  • Maintaining brand communication & image through multiple rounds of interviews to avoid candidate backlash
  • Complexities of recruiting channels, exhaustive list of job categories, multiple and the diverse candidature have meant all the recruiters to determine
  • Hire the right resource of talents before our competitors contract with them
  • Job and CV

    Recruitment Nowadays – All you need to know to get started

    So, recruitment today although efficient enough using Big Data processors, Deep learning techniques – allow technology to shortlist the best candidates. Determining the right candidate skills and expertise for the job role still requires human intervention at final stages.  Big Data Recruitment – Yes, that’s just one part of Collabera application structure. And yet, it’s just the Analytical programmes that can help a recruiter in their eternal quest for the right candidate. However, gathering and collating the information is only part of the cycle.

    The filtered results are still something that they need to cross check with client’s long list of inputs. It feels like a whole generation has passed, since we last sent job advertisements in print and posted it on our careers page. Scanning submitted resume and post that scheduling interviews and short listing candidates. Recruiters then had to take local calls, limited skill sets, and multiple rounds to close candidates for specific openings.


    Why Big Data?

    Big data is a huge volume of structured and unstructured data that are available at collective fingertips. These data that are available in larger sets are analysed by the professionals to reveal previously patterns that are unknown and offer insights into business operations, human behaviour, and other aspects. Big data analysis is implemented in the firms that offer from financial services, to improve an individual’s productivity, to even overseeing the weather conditions. Companies and organizations across the globe and from every industry use this big data analysis to offer solutions on how you can leverage the useful data in effective and meaningful ways for the growth of the company.

    For example, sales, marketing, and business operations are prominently known to rely on big data analytics based Dashboard in taking better business decisions for the company to uncover all the hidden patterns, correlations, analyse the market trends, set preferences for customers, and other useful aspects that are important to run the business.

    How it is useful in the recruitment sector?

    Big Data or commonly known as people analytics is a monumental segment of data that all the recruiters have access to see and analyse that would help them in questing whether the candidates who have applied for the job are ideal or not.

    Big data recruiting is much more than just screening profiles for keywords or mining data in the social media platforms. It is a method that is implemented to produce a complete picture of the applicants before they are called to give an interview in the company.

    Big data helps in providing all the useful information of the candidate who are applying for the job to the recruiters by making sure that the data is readily available (GDPR Permitting). Based on this data, the recruiters take a decision and shortlist some candidates who they think are suitable for the job. It is basically the goldmine of data for recruiters who then dig down into the readily available information.

    In the present day, a curriculum vitae or a resume is quite one-dimensional. To hire the candidates, you will ought to have an entire picture of the candidate and then start assessing them by taking their interviews. This is something that big data presents it you. How it is capable of doing this is something that has a different logic altogether.

    Big Data allows you to search the profile of the candidate using keywords in the application tracking software, however, it doesn’t define it. You will have to look beyond into the semantic analytics to extract the required information from the candidates and then begin analysing it.

    Because this is what big data is used for – to analyse, know, understand, and interpret the outcomes to get a complete picture of the candidate as it is possible.

    From where does big data analytics collect all the information of the candidates?

    You can hire employees who will use their skillsets and expertise to gather information about the candidate, but it would be a time-consuming process for you and can also be expensive. Why not use application tracking software to collect the required information? The software gathers all the details of the candidates that are stored in various data centres where the candidates have uploaded their personal information. Some of the common sources are listed below:

    • Social media platforms like LinkedIn and Google+
    • Resume databases
    • Performance reviews
    • Business cards
    • Political Associations
    • Online Behaviour which would include shopping or reading preferences
    • Other useful platforms

    These are some of the most common sources from where it collects all the required information of the candidates and presents a whole picture of the candidate in front of you. You can cross verify the information while taking an interview with the candidates or by going through the profiles the candidates have submitted.

    Closing Words

    Big Data Analytics is a boon to the recruitment industry. You can easily collect useful information from diverse sources, accumulate it, store it in your respective databases, and then interpret it in the way you want it. With the help of big data analytics, you will be able to choose the right talent for your company and climb the pillars of success smoothly.


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