Month: March 2018

Automatic Data Processing—better known as ADP, the payroll service to much of the world—went into the big data platform business on May 12. And why not, with more than 600,000 client businesses and 24 million employees in the U.S. alone from which to access piles of metadata.
Roseland, N.J.-based ADP is the payroll accounting service that uses its aggregate metadata to generate a monthly jobs report that is respected by many economists. In fact, because it is the largest payroll processor in the nation, ADP’s vast big data silo from U.S. companies and their employees ranks second only to the employee records of the U.S. federal government.
So ADP has started to use all that data for a new business wing: a big data-based cloud service. ADP DataCloud is designed to put day-to-day analytics capabilities in the hands of line-of-business accounting and HR staff members, enabling them to obtain insights from the workforce data already embedded in their individual ADP human capital management systems.
ADP DataCloud aims to boost business and workforce management goals, such as workforce productivity, talent development, retention and the identification of flight risks. More than 1,000 ADP clients already are using these analytics capabilities.
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ADP DataCloud provides companies with critical information that can help answer key questions facing not only HR, but the overall business. A consumer-grade user experience blended with analytics allows clients to obtain deep enterprise insights across the organization’s HCM data. The embedded big data platform is within ADP’s core solutions, including ADP Vantage HCM, Enterprise HR, ADP Workforce Now and ADP Time & Attendance.

Key features include the following:
Benchmarking: Offers companies the ability to compare HCM metrics with an aggregated and anonymous market benchmark at the industry, location and job-title level to inform key workforce decisions.
Data exchange: Provides companies with the ability to combine workforce data with other types of business data, such as sales or customer satisfaction scores, from non-ADP platforms to identify key deeper business insights and actions.
Predictive analytics: Utilizes predictive models derived from ADP data to help employers make smarter, forward-looking workforce decisions by providing insight into the likelihood of specific workforce management outcomes. The first capability helps employers identify those employees likely to leave their organization.
A new research project commissioned by ADP found that 75 percent of companies with 1,000 or more employees have access to data to inform business decisions, but only 46 percent are using workforce analytics capabilities to improve business decision making. The same study found that 42 percent of company finance executives and 32 percent of midlevel managers want to utilize workforce analytics.
The study consisted of a 2015 survey of 300 HR executives, finance executives and managers at companies with 1,000+ employees.

Originally posted at: http://www.eweek.com/enterprise-apps/adp-launches-its-own-big-data-analytics-platform.html

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Courtesy cbinsights Link: https://www.cbinsights.com/blog/iot-most-active-investor-infographic/

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You thought the human brain was complex? With its ability to retrieve stored memories from years past and forge connections from seemingly disparate topics, it truly seems like the brain is a miraculous organ that rules our everyday lives. But what about the Google brain? Just as intricate and just as ever-changing as a human’s brain, the Google search engine works to make associations, recommendations, and analysis based upon your search phrases.

However, the question remains: how does Google understand what we want from it? When we ask it a question, how do those millions of results show up for us effortlessly, ranked in terms of relevancy and authority? Every one of us takes this process for granted so in this infographic, we’ll look at the inner mechanics of the Google search engine that produces the results you see on your screen.

Infographic by Vertical Measures

Originally Posted at: How Google Understands You [Infographic] by v1shal

Gordon Square Communications and WAAT offers tips about how to make the most of online resources to land a dream job – all without spending a penny.

You are probably familiar with Monster.com or Indeed.com, huge jobs websites where you can upload your CV together with other 150 million people every month.

The bad news is that it is unlikely that your CV will ever get seen on one of these websites, discovered attendees of London Technology Week event Using Tech to Find a Job at Home or Abroad.

“There are too many people looking for a small number of jobs,” says Sylvia Arthur, Communicator Consultant at Gordon Square Communications and author of the book Get Hired! out on 30th June.

“The problem is that only 20% of jobs are advertised, while 25% of people are seeking a new job. If you divide twenty by twenty-five, the result of the equation is that you lose,” explains Ms Arthur.

So, how can we use technology to effectively find a job?

The first step is to analyse the “Big Data” – all the information that tells us about trends or associations, especially relating to human behaviour.

For example, if we were looking for a job in IT, we could read in the news that a new IT company has opened in Shoreditch, and from there understand that there are new IT jobs available in East London.

Big Data also tells us about salaries and cost of living in different areas, or what skills are required.

“Read job boards not as much to find a job as to understand what are the growing sectors and the jobs of the future,” is Ms Arthur’s advice.

Once you know where to go with the skills you have, you need to bear in mind that most recruiters receive thousands of CVs for a single job and they would rather ask a colleague for a referral than scan through all of them.

So if you are not lucky enough to have connections, you need to be proactive and make yourself known in the industry. “Comment, publish, be active in your area, showcase your knowledge,” says Ms Arthur.

“And when you read about an interesting opportunity, be proactive and contact the CEO, tell them what you know and what you can do for them. LinkedIn Premium free trial is a great tool to get in touch with these people.”

Another good advice is to follow the key people in your sector on social media. Of all the jobs posted on social media, 51% are on Twitter, compared to only 23% on LinkedIn.

And for those looking for jobs in the EEA, it is worth checking out EURES, a free online platform where job seekers across Europe are connected with validated recruiters.

“In Europe there are some countries with shortage of skilled workforce and others with high unemployment,” explains Grzegorz Gonciarz and Vamory Traore from WAAT.

“The aim of EURES is to tackle this problem.”

Advisers with local knowledge also help jobseekers to find more information about working and living in another European country before they move.

As for recent graduates looking for experience, a new EURES program called Drop’pin will start next week.

The program aims to fill the skills gap that separates young people from recruitment through free training sessions both online and on location.

To read the original article on London Technology Week, click here.

Originally Posted at: Using Big Data to Kick-start Your Career

Today we’re comparing three soft drink brands: Coca Cola, Pepsi and Red Bull. All are big names in the beverages industry. We’ll use BuzzTalk’s benchmark tool to find out which brand is talked about the most and how people feel about this brand. As you probably know it’s not enough if people talk about your brand. You want them to be positive and enthusiastic.

Coca Cola has the largest Share of Voice

In order to benchmark these brands we’ve created three Media Reports in BuzzTalk. These are all set-up the same way. We include news sites, blogs, journals and Twitter for the time period starting at 23 September 2013. In these reports we didn’t include printed media.

As you can see Coca Cola (blue) is the dominant brand online. Nearly 45% of the publications mention Coca Cola. Red Bull (green) and Pepsi Cola (red) follow close to each other at 29 and 26%.

Benchmarking the Buzz as not all buzz is created equal

Coca Cola doesn’t dominate everywhere on the web. If we take a closer look the dominance of Coca Cola is predominantly caused by it’s share of tweets. When we zoom in on news sites we notice it’s Red Bull who’s got the biggest piece of the pie. On blogs (not shown) Coca Cola and Red Bull match up.

Is Coca Cola’s dominance on Twitter due to Beliebers?

About 99,6% of Coca Cola related publications is on Twitter. Most of these tweets relate to the Coca-Cola.FM radio station in South America in relation with Justin Bieber. On 12th November Coca Cola streamed the concert of this young pop star and what we’re seeing here is the effect of ‘Beliebers’ on the share of voice.

The Coca Cola Christmas effect can still be detected

The Bieber effect is even stronger than christmas (42884 versus 2764 tweets).

Last year we demonstrated what’s marking the countdown to the holidays: it’s the release of the new Coca Cola TV-commercial. What we noticed then was a sudden increase in the mood state ‘tension’. In the following graph you can see it’s still there (Coca Cola is still in blue).

The mood state ‘tension’ relates to both anxiety and excitement. It’s the emotion we pick up during large product releases. If this is the first time you’re reading about mood states we recommend reading this blogpost as an introduction. Mood states are an interesting add-on to sentiment to be used in predictions about human behavior. The ways in which actual predictions can be made are subject of ongoing research.

How do we feel about these brands?

Let’s examine some more mood states and see whether we can find a mood state that’s clearly associated with a brand. As you can see in the graphs below each soft drink brand gets it fair share of mood state tension. Tension not specific for Coca Cola, though it is more prominent during the countdown towards christmas.

Pepsi Cola evokes the most ‘confusion’ and slightly more ‘anger’. The feelings of confusion are often related to feeling quilty after drinking (too much) Pepsi.

Red Bull generates the most mood states as it’s dominating not only for fatigue, but also – to a lesser extend – for depression, tension and vigor.

 

Striking is the amount of publications for Red Bull in which the mood state fatigue can be detected. They say “Red Bull gives you wings” and this tag line has become famous. People now associated tiredness with the desire for Red Bull. But people also blame Red Bull for (still) feeling tired or more tired. At least it’s good to see Red Bull also has it’s share in the ‘vigor’ mood state department.

To read the original article on BuzzTalk, click here.

Originally Posted at: Benchmarking the share of voice of Coca-Cola, Red Bull and Pepsi by analyticsweekpick