As appeared on www.recruiter.com
Zanie (not her real name) was 19 years old when I interviewed her for a customer service position. The most refreshing thing about Zanie was how measured and tactical she appeared during the interview. My boss and I were immediately impressed by her readiness, eye contact, and directness.
Honestly, we were wowed before the interview even began because of how well Zanie communicated over the phone. Her phone manners convinced HR to send her over to us immediately.
“She is everything described in the job post,” the HR rep told us.
Zanie’s performance became, to me, a benchmark for how candidates should perform during the interview process – especially when it came to her use of narratives to answer our questions, provide proof of her abilities, and temper out doubts.
Stories are how we prove our value to those we don’t know. People personally connect with us through the stories we tell about ourselves. If you capture the imagination of the interviewers with a good yarn, you can capture their heart, their interest, and hopefully, a job offer. Read more.
Employee turnvover (attrition) is a major cost to an organization, and predicting turnover is at the forefront of needs of Human Resources (HR) in many organizations. Until now the mainstream approach has been to use logistic regression or survival curves to model employee attrition. However, with advancements in machine learning (ML), we can now get both better predictive performance and better explanations of what critical features are linked to employee attrition. In this post, we’ll use two cutting edge techniques. First, we’ll use the
h2o package’s new FREE automatic machine learning algorithm,
h2o.automl(), to develop a predictive model that is in the same ballpark as commercial products in terms of ML accuracy. Then we’ll use the new
lime package that enables breakdown of complex, black-box machine learning models into variable importance plots.
Source: R-bloggers (R news and tutorials contributed by (750) R bloggers)
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Bloomberg BNA 2017 HR Department Benchmarks and Analysis
For almost 40 years, Bloomberg BNA has published an annual report on the state of the human resources function, HR Department Benchmarks and Analysis. Since we started in 1978, we have been consistently revising, enhancing and updating both the survey itself and the report to ensure that each is as comprehensive, timely, and enlightening as possible. As a result, the annual survey-based report has remained an authoritative, trusted source of research, analysis, and perspective on human resource department staffing, expenditures, responsibilities, priorities, and influence.
Read in full…
7 Techniques to Make You More Persuasive
By Michelle M. Smith, June 19, 2017, TLNT
Communication has become one of the most important – and effective – means of influence for leaders and those who aspire to be leaders.
Long-gone are the days when leaders could outsource their communications to HR or through PR missives. While those departments still assist in crafting and delivering corporate messages, employees, customers and suppliers increasingly want to hear directly from leaders – and they expect those communications to be personalized and authentic.
Power and influence can be created or gained during big events, in private interactions and in small meetings – and leaders and business professionals need to put their best foot forward in all of them.
Data scientists have the potential to help save the world
With an untold number of crises emerging every year, big data is becoming increasingly important for helping aid organisations respond quickly to chaotic and evolving situations.
Organisations have long used data analytics to inform their strategies but, with the rise of big data, they now lack the skills necessary to harness the full depth of insights it can provide. This is due to the sheer volume of data being generated every day, and the complexity of interpreting it all. These insights enable better decision making on everything from solving societal difficulties and improving consumer quality of life, to responding to humanitarian crises and guiding defence and security.
Being able to dive into this data and understand which parts matter most is a skill growing rapidly in demand. Data scientists are the talented individuals tasked with understanding big data and identifying its insights for organisations.
Great Digital Marketing Ideas You Should Be Using in 2017
There are so many forms of digital marketing being used today. They include podcasts, mobile apps, digital TV and so much more. With all these options, it can be hard for you to stay ahead of the curve. The best thing is that there are a couple of things that you can do to increase your chances of success. Here are some of the best things you can do to achieve more success when it comes to online marketing.
The shocking details you reveal about yourself when you ‘like’ things on Facebook
Political campaigns and marketers have found new ways to analyze consumer behavior
How well do you think your Facebook account knows you?
As the power of the “like” grows, political campaigns and companies are harnessing it to influence and track the public’s behavior. Last month, Congress repealed laws passed by the Federal Communications Commission on what data internet service providers could collect on users. In a nutshell: Your browser history could now be sold to advertisers without your consent. If this new rule went into effect, it would allow for “incredibly intrusive data-mining” by companies online, said Cory Doctorow, activist at the Electronic Frontier Foundation, which advocates for online privacy.
How The Internet Marketing Industry Got A Bad Name
When is the last time you had a great dental experience with your internet marketing provider?
This may seem like an odd question at first and leave you thinking, “huh?” Yet what is even stranger is that your web marketing provider could be just as qualified to do your dental work as they are to provide you with effective internet marketing.
Internet marketing can be a scary decision for business owners because there are no minimum formal education requirements to provide marketing solutions for businesses. This lack of education and standardized industry protocol is why the internet marketing industry initially got such a bad name.
4 reasons why most data science projects fail
Experts have called 2017 the year of data literacy and digital transformation. While data is a key component that drives true digital transformation, too often companies approach data and analytics projects the wrong way. In fact, a mere 13% of data and analytics projects reach completion, and of those that do, only 8% of company leadership report being completely satisfied with the outcome.
On topic: Tech news to know now
Ten Things the HR People Are Thinking About You
At a Brooklyn conference, human resources reps tackled the big issues of their business: diversity, employer branding, and sending out “exploding offers”
HR people are people, too.
They don’t like it when hiring managers bring in their laptops to interview candidates. (Yes, that is rude.) They also don’t like rushing job prospects through making a final decision—the wrong fit only makes their lives harder in the end. And they also care about looks: employer branding was the most-discussed topic at HR Uncubed, a two-day conference for innovative companies held last week at Williamsburg’s Brooklyn Brewery, Wythe Hotel, and Dobbin Street.
Uncubed, which was founded in Brooklyn in 2012, is an event- and video-based job platform where employers upload classes about what it’s actually like to work at their companies in an effort to attract top talent. Uncubed’s mission is to “make work human” again through connection and to break free from the cubicle zones pioneered by designer Herman Miller in the 1960s. Their first HR-specific conference attracted speakers from the New York Times, Refinery29, Spotify, Kickstarter, among other big names.
Habits are easy to make and hard to break, could the Way of Life app be the solution?
Habits are such a fickle thing
5 Digital Marketing Tactics To Drive Immediate Results For Your Brand Online
Even though change happens fast in the digital space, results from digital marketing campaigns are not always quick to materialize.
Certain marketing tactics are simply not designed to deliver overnight results. Search engine optimization is a process that takes months of dedicated effort before your brand will begin achieving page 1 visibility for desired terms. Similarly, content marketing requires heavy investment upfront before you start seeing results much later down the line. It’s not that these aren’t valuable marketing channels, but not all businesses can afford to be so patient. For new businesses just starting out, or any business that’s trying to generate a quick influx of sales, waiting months to see the effects of your marketing strategy isn’t always an option.
Fortunately, if short-term gains are what you’re seeking, there are tactics you can employ to generate results quickly. Certain marketing channels are designed for precisely that purpose. Here we explore five ways to use digital marketing to drive immediate results for your business.
Data scientist at TED: Algorithms are a ‘weapon of math destruction’ that need to be regulated
Algorithms are increasingly prevalent in everything we do, from getting insurance to applying to jobs (if the algorithm doesn’t pick your application from a big pile, good luck). While it may seem like these computer calculations are objective measures of whether someone is qualified for a certain position or home loan, human bias is always behind them.
Cathy O’Neil, a data scientist and founder of ORCAA Algorithmic Auditing, had a message for the audience at the 2017 TED talks: “We need to demand accountability from our algorithmic overlords.”
During one of the most popular talks of the Wednesday evening TED sessions, O’Neil laid out the various ways that algorithms can go wrong.
It’s Not Clairvoyance, It’s Data Science
We’re in a fierce era of ever-increasing competition for great, reliable data. Around a decade ago, at the start of the Big Data boom, businesses were just beginning to devise ways to capture and record data. Today, we’re asking, “How do we make our data stronger to deliver insights that are more meaningful?”
Citizen data scientist trend compensates for lack of skills
Self-service analytics tools are fueling the citizen data scientist trend, helping companies compensate for a lack of analytics skills in the market and making analytics more accessible.
There’s no doubt that data science has been a game-changer for some businesses. But data scientists, the magicians behind the curtain, remain elusive. So, rather than pursue the unattainable, some enterprises are opting to put the power of data science in the hands of business teams.
Five Phases of Big Data Projects
First, identify the data and brainstorm a use case. Then make sure everything’s in place to make it work.
Enterprises today have a mass of data to analyze—whether from their own database systems, machines equipped with sensors, real-time business transactions, or ecommerce. Often they will embark on a “Big Data” effort in hopes of achieving a business objective—whether more sales, a better customer experience, reduced fraud, optimized production, or predictive maintenance.
“There is increasing pressure on analytics teams to reduce time to insight and answer questions faster,” according to a recent TDWI paper on “Best Practices for a Successful Big Data Journey.” “Yet big data has introduced many new forms of complexity.”
80% of consumers forget branded content after 3 days
After all of the consumer and market research, the long days, the design and implementation process, how long does your delicately crafted branded content stick in consumers’ minds?
Well, according to research by Prezi, for 80% of consumers the answer is three days.
The research, carried out in conjunction with renowned cognitive neuroscientist Dr Carmen Simon, found that the main three reasons consumers forget content are:
IBM To Introduce Watson-Powered Video Analysis This Year
A new cloud service by IBM aims to help companies extract metadata from raw video footage, the company said today. The new tool uses the artificial intelligence (AI) capabilities from IBM’s Watson platform to analyze video for information such as keywords, main concepts, visual imagery, tone, and emotional context.
“The service highlights IBM’s continued focus on combining artificial intelligence with the IBM Cloud to help media and entertainment companies make sense of unstructured data and make more informed decisions about the content they create, acquire and deliver to viewers,” the company said. Although the new service does not yet have a name, the company said it is planning to launch sometime later this year.
Everything you wanted to know about Facebook’s F8
What you missed at Facebook F8
On Tuesday, Facebook kicked off its annual F8 Developer Conference. San Jose’s McEnery Convention Center was abuzz with innovation and I was abuzz with excitement — and perhaps a few too many complimentary espresso shots — as I learned what the social media giant has been working on recently.
Here’s a brief breakdown of what Facebook’s unleashed:
Has HR Technology Been Changing? Do You Think?
In the last five years alone, HR technology has moved from one era to another. The cloud, social applications in the enterprise, analytics and mobile are changing its course for everyone.
The entire 30th anniversary print edition of the magazine would have to be devoted exclusively to HR technology in order to cover its changes and transformations since 1987. Instead, let’s focus just on the last five years, starting in 2012.
Turns out 2012 was a critical year — marking an inflection point in HR technology: The end of one era and the beginning of another.
Two of our industry’s giants — Jim Holincheck, then a Gartner analyst, and Lexy Martin, the mother of the definitive HR Systems Survey — both wrote about it. Jim called it a “generational shift in computing.”
How To Build A Big Data Engineering Team
Companies are digitizing and pushing all their operational functions and workflows into IT systems that benefit from so-called ‘big data’ analytics. Using this approach, firms can start to analyze the massive firehose stream of data now being recorded by the Internet of Things (IoT) with its sensors and lasers designed to monitor physical equipment. They can also start to ingest and crunch through the data streams being produced in every corner of the what is now a software-driven data-driven business model.
All well and good, but who is going to do all this work? It looks like your company just had to establish a data engineering department.