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Finding a job is no easy thing, and even though technological advancements have seemingly made the process easier and more user-friendly, in many cases it’s more complicated than ever before. Job boards on the internet might seem like an easy way to get your resume out there, but it’s just as easy to be overlooked.

As job seekers and recruiters continue their searches a new tool is quickly rising to the top as a way to find the best people for the right positions: Big Data. Knowing how big data is being used now for recruiting and job searching can give people an advantage over the competition.

Think of how many people apply online for a position when a business posts on a job board. Some companies receive thousands of resumes for a single opening, so it’s understandable that qualified candidates can fall through the cracks. With such a deluge of resumes, companies are applying big data analytics practices to a field of prospective job seekers.

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Big data, however, goes much further than search queries and talent management systems.

Many businesses are actually developing profiles on people based upon their social media presence. This even applies to people who aren’t actively searching for a job.

Businesses build their own resumes of candidates by identifying details from people’s social media profiles on Facebook, LinkedIn, Twitter and other sites. From these profiles, companies use big data tools to identify patterns of behavior, interests and skills that are qualifying factors for current and future job openings. If the targeted individual isn’t looking for a job at the moment, businesses will likely keep them on file for future reference.

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With social media playing such an integral role in big data recruitment, job seekers need to do what they can to manage their profiles with the intent of gaining a job in mind. That means using your social media presence to emphasize your work-related skills and demonstrating your abilities.

Curating your profiles also requires you to engage in discussions with other people in your field of choice, showcasing your thoughts and opinions and helping direct discussions. Using this process, you may even become known as a thought leader, someone to turn to when others want an expert’s opinion.

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The bottom line: You need to put yourself in a position to take advantage of big data and utilize it to get noticed. The more understanding you have of how big data is affecting job searches, the faster you can get it working for you.

A study just released by Lever, a hiring management system used by small and mid-sized companies around the world describes how 600 of their clients hired 15,000 people – the real surprise in that 1.5 million people applied for these 15K jobs – only 1% of the total.

If you’re a job seeker this may seem like finding a job is a long-shot, however, taking a closer look at the numbers tells a different story.

  • The odds were worse for people who applied on a job board – 130 to one – yet 48% of their jobs were filled this way. Although it’s inefficient, it is a major source of hires.
  • Dollarphotoclub_68328671.jpgGetting referred was the best way to get a job. It only took 12 people to hire someone this way. This is 10X better than applying. According to the Lever data only 14% of all jobs were filled by referrals.
  • Only 4% of all hires came through a recruiting agency but in these cases the company only needed to see 25 people to hire one person.
  • This direct sourcing approach represented 34% of all hires and its recruiters needed to screen 65 people to yield one hire.

For more senior-level staff and mid-management positions. less than 20% are filled via people who apply online, 40% are referrals (including recruiting firms and staffing agencies) and 40% are direct sourced.

Consider these insights:

  1. Mix it up. Go narrow and deep rather than broad and shallow. Use a mix of all the techniques. Idea: Find 20 jobs every week you think look interesting and narrow this list down to the best five. And then only apply to 2-3 of them you’re perfectly qualified to handle. But don’t just wait to hear if the company is interested. Instead use the backdoor to get an interview. This means finding someone in the company who can get you a referral to the hiring manager.
  2. navigation-2-square.jpgGet found. Reverse engineer your LinkedIn profile and online resume to make sure recruiters can find it. When they find it make sure your major accomplishments and track record are instantly visible.
  3. Bypass screeners. If you get an onsite interview the chances for getting a job are (10%) regardless of how you were initially found, with one exception. For referrals it’s twice that at 20%.
  4. 20151111140508-social-media-icons-iphone-network-business-communication-web.jpgBuild a true network.Networking is getting people who can vouch for your abilities to recommend you open jobs they know about. In parallel, actively participate in business and groups where people in your field hang out. Recruiters review these online listings to get referrals.
  5. Build a reverse network. Take calls from recruiters. Listen to what they have to say and then provide a great referral. They will pay you back with future interviews.
  6. Force a discovery interview. If you do ALL of the above, you will probably get an interview. But the likelihood you’ll get an offer is still only 10% unless you’ve been referred, increasing your odds by 20%.

To increase your odds of getting an offer you need to make sure you’re being interviewed accurately. Ask the interviewer about some of the big tasks the person hired will likely be assigned to handle. Then give detailed examples of work you’ve accomplished that’s most comparable and you’ll likely be invited back as a finalist.

Ultimately you need to commit to doing what other candidates aren’t willing to do. That’s how you stand out. Consider these tips:

  1. Find the company you want to work for.

Many job seekers respond to as many job postings as possible, hoping the numbers will be on their side. But shotgun resume submissions result in hiring managers sifting through dozens of candidates to find the right person.

To show the hiring manager you are the right candidate, you have to do the work. Instead of shot-gunning your resume, put in the time to determine a company you definitely want to work for in terms of the job and cultural fit.

  1. Preparing-To-Sell-Your-Company.jpgReally know the company.

You can’t possibly know if you want to work for my company unless you know a lot about the company; that’s the difference between just wanting a job and wanting an actual role in a business. Check out management and employees on social media. When you know the people, you know the company. Learn as much as you can, then leverage that knowledge.

  1. Determine how you will make an immediate impact in the role.

Training takes time, money and effort. An ideal new hire can be productive immediately. While you don’t need to be able to do everything required in the job, it helps if the company can see an immediate return on their hiring investment. (Remember, hiring you is an investment that needs to generate a return.) Identify one or two important things you can contribute from day one.

  1. torn-paper-Show-me.jpgDon’t just tell. Show.

Put what you can offer on display. If you’re a programmer, mock up a new application. If you want a sales position, create a plan for how you’ll target a new market or customer base, or describe how you will implement marketing strategies the business doesn’t currently use.

  1. Use a referral as a reinforcement.

Business is all about relationships.  Knowing that someone we trust is willing to vouch for you is a data point that often tips the decision scale toward giving you an interview, and even giving you the job.

  1. i-am-the-one-who-knocks.jpgBe the one who knocks.

Don’t wait to be called for an interview. Don’t even wait for an opening to be posted; after all, you’ve identified ways you can immediately help the company you want to work for. Approach people right and they will pay attention.

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The key to success that wins in the job market is knowing your audience. Define how you can help a company fix real problems in their market, after you understand their world and their perspectives, you can validate these findings with a mix of empirical or intuitive thinking – that’s what will get you hired.

 

Some large companies receive as many as 4.5 million resumes annually. Others get 10 million applications every year. Obviously, only a tiny fraction of these applicants can get hired. Finding a new job can be a job unto itself: perfecting a resume, scanning career websites, networking among friends and acquaintances. Job searches of the future need to be a completely different experience, with technology doing most of the heavy lifting. I predict a job-hunt landscape that will look very different just a few years from now.

The Job Boardimages

About 65% of people look for new jobs within 91 days of being hired at a job which suggests matchmaking in the search for work may be less than perfect. Those imperfections can only be fixed with data—and lots of it. The sheer amount of information on job skills, salaries and user tendencies makes matching people to positions simply impossible without using AI to crunch the numbers. the Indeed.com job board generates an average of 25 terabytes of data every day.

Skills Above All

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Skills testing is the centerpiece for CodeFights, a four-year-old San Francisco-based firm that offers tech workers a platform on which to practice their coding skills and to demonstrate those skills which are

scored and rated on the CodeFights platform. This system of skills-based recruiting opens doors for programmers based largely on their proven talents and offers recruiters a true picture as to what a prospective hire can actually do. There are so many data points to consider: skills, salaries, location, personality, experience, company culture, inaccuracies in resumes or job descriptions.

Job search platforms or services will ultimately become education hubs, offering skills-building services that also rate proficiency, making it easier for job-seekers to prove their quality to employers, with whom they would be matched.

A Layer of Testing

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Assessing skills specific to various industries is the name of the game for Harver, a five-year-old firm based in Amsterdam. Its specialty is having job applicants go through a testing process—chosen by hiring companies—that gauges whether they are a good match for a given position. The firm has made deals with Netflix, Booking.com, OpenTable and Zappos. It’s impossible to predict whether someone would stay in the job and do it proficiently so the firm designs algorithms and testing processes with recruiting clients to predict a good match for a job. 

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AI and machine-learning allow services like Indeed to make predictive assessments of factors such as what a salary should be. Calculations hone in on what wages would be appropriate for a particular job, in a specific location, or at a specific company. Exact job title also comes into play.

As for the future, job seekers will likely see a reduction in their research time while looking for work. As AI and machine-learning develop in the field, a service like Indeed should be able to suggest new, much more compatible opportunities based on a job seekers’ work experience, skills, salary, interests and location. A career-focused AI should also tell job seekers whether they are being paid fairly at their current job, with a high degree of accuracy, compared to others in their line of work. Consider this:

  • In China, where there aren’t enough radiologists to keep up with the demand of reviewing 1.4 billion CT scans each year to look for early signs of lung cancer. Radiologists need to review hundreds of scans each day which is not only tedious, but human fatigue can lead to errors. Infervision trained and taught algorithms to augment the work of radiologists to allow them to diagnose cancer more accurately and efficiently.

 

  • Picture1.pngMusic-generating algorithms are now inspiring new songs. Given enough input—millions of conversations, newspaper headlines and speeches—insights are gleaned that can help create a theme for lyrics. There are machines such as Watson BEAT that can come up with different musical elements to inspire composers. AI helps musicians understand what their audiences want and to help determine more accurately what songs might ultimately be hits.

 

  • Using natural language processing, machine learning and advanced analytics, Hello Barbie listens and responds to a child. A microphone on Barbie’s necklace records what is said and transmits it to the servers at ToyTalk. There, the recording is analyzed to determine the appropriate response from 8,000 lines of dialogue. Servers transmit the correct response back to Barbie in under a second, so she can respond to the child. Answers to questions such as what their favorite food is are stored so that it can be used in conversation later.

 

  • The AI tech revolution has hit farming as well, John-Deere-Machine-Sync-1and John Deere is getting data-driven analytical tools and automation into the hands of farmers. They acquired Blue River Technology for its solution to use advanced machine learning algorithms to allow robots to make decisions based on visual data about whether or not a plan is a pest to treat it with a pesticide. The company already offers automated farm vehicles to plough and sow with pinpoint-accurate GPS systems and its Farmsight system is designed to help agricultural decision-making.
  • UK news agency Press Association partnered with news automation specialist Urbs Media to have robots write 30,000 local news stories each month in a project called RADAR (Reporters and Data and Robots). Fed with a variety of data from government, public services and local authorities, the machine uses natural language generation technology to write local news stories. These robots are filling a gap in news coverage that wasn’t being filled by humans.

 

    • Epcot-MagicBand-Scan-620x330Google is using AI and satellite data to prevent illegal fishing. On any given day, 22 million data points are created that show where ships are in the world’s waterways. Google engineers found that when they applied machine learning to the data, they could identify why a vessel was at sea. They ultimately created Global Fishing Watch that shows where fishing is happening and could then identify when fishing was happening illegally.

 

  • Even Disney is getting even better thanks to big data. Every visitor gets their own MagicBand wristband that serves as ID, hotel room key, tickets, FastPasses and payment system. While guest enough the convenience, Disney gets a lot of data that helps them anticipate guests’ needs and deliver an amazing, personalized experience. They can resolve traffic jams, give extra services to guests who may have been inconvenienced by a closed attraction and data even allows the company to schedule staff more efficiently.

In the span of less than 20 years, job hunting will have evolved from newspaper want ads to online job boards to social sites like LinkedIn to AI powered headhunting. Experts in the recruiting field agree that AI can help streamline the connection between employer and candidate. With the vast amounts of data collected on skillsets, job titles and salaries, AI can help job boards like Indeed make accurate predictions on hiring competition and compensation. It helps cut down on the research time for job seekers and helps employers find qualified candidates faster.

 

Have you ever wondered how some people are able to achieve Unknown-1amazing success while others work just as hard but achieve very little? What’s their secret?

It’s consistency – building small “meta habits” that you engage in every day that keep you focused on your highest priorities.

To be consistent means to focus on the present moment while maintaining a long-term view that helps you measure your results and the impact of your daily actions. Consistency is about repeating the same actions (habits) over and over again, getting feedback from these actions and adjusting them to help you stay on track as you work towards your goal.

Even though the concept of staying consistent seems very simple on the surface, most people struggle with this idea. They find it difficult to stay consistent because there are just too many distractions. People are simply not focused, committed or disciplined enough to stick with something in the short-term for long-term results.

Keep in mind that consistency is not just about REPETITION. It’s also about EVOLUTION.

It’s not about mindlessly repeating an action over and over again. It’s about learning, growing and adapting your actions that can help lead to incremental improvements over an extended period of time. 

UnknownPreparing Yourself for Consistent Action

Before you begin taking consistent action, it’s important that you mentally prepare yourself by first establishing a goal that you would like to achieve. Then reverse engineer your goal by progressively moving from the end outcome to the present moment backward step-by-step. Take a deep look at your goal to get an understanding of how all the steps and pieces came together over time.

It’s also important to identify specific timeframes you will be working with that will keep you on track as you work toward your goal. With timeframes in place, you will work with more purpose and a sense of urgency.

There is, however, one additional question you need to be asking yourself.

What repetitive activities should I STOP doing? 

Often it’s not only what we focus on or do that matters,images

it’s also what we AVOID doing that makes all the difference.

Consider for a moment the act of reading a self-development or business book for 30 minutes a day. This might not seem like a lot but reading 30 minutes a day over the course of a week is only a 3.5-hour commitment. And in 12 months, you will have read for 182 hours.

In fact, it might seem that you have gotten very little value over the first few weeks or months. Slowly but surely the seeds of new thoughts and ideas are laid, and over time you will make more and more associations and connections between what you were reading and what you already knew.

Surprisingly over time, you will have created a series of “aha” moments where suddenly everything becomes crystal clear. It was as though you suddenly woke up and saw your life and circumstances in a brand-new light.

As a result, you ended up making a different set of choices and decisions that led you down a very unique path, and your life has been transformed. And to think that it all started with just 30 minutes of reading time a day. This is the power of consistency over a period of many months and years.

Maybe you won’t even see much of a difference over the course of several months. However, over an extended period of time (sometimes over many years), as you accelerate your momentum, there will be a noticeable difference. And then one day you will look back where it all started in disbelief at the progress you have made.

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Imagine a leaky faucet. Regardless of how you hard you twist the knob, it still drips. One drop at a time. Incessantly – drip, drip, drip. But put in the right environment and given enough time, that same dripping with that same consistency, can have an immense amount of power. That’s how canyons are made. Not all at once, but through the power of consistency.

the compound effect

Author Darren Hardy, thePublisher of Success magazine has written the ‘The Compound Effect’ to explain how we can achieve massive results in our lives through daily consistency. Making a small, consistent and insignificant action each day can generate incredible results in our lives.

Consider this.

Mai Li was studying to be a professional ballerina when tragedy struck – she lost her right arm in a car accident. For many years she was distraught, but then she met Zhai Xiaowei who as a child had lost his left leg to a tractor.

Mai had a vision that the two should dance together, but Zhai was reluctant because he had never danced before. Mai convinced him to give it a try and the two practiced every day for a year from 8am to 11pm. Zhai dropped Mai over a thousand times.

They were the first handicapped couple to enter the CCTV (China TV) national dance competition and ended up winning a Silver medal with a 99.17 score, and the highest audience vote ever.

Take a look at what Mai Li and Zhai Xiaowei consistent effort (habits) achieved. https://www.youtube.com/watch?v=LnLVRQCjh8c

The choice is yours to make.

So, what will you choose to focus on today that can change the course of your destiny, your job and your life?

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