Expert insights. Personalized for you.
Neil McCormick and Dr. Chris Andrews discuss the need for a globally recognized, structured approach, to managing and maintaining the overall workforce data quality in organizations. HR Data Quality. His statement that ‘ Data depreciates. References: Bovee et al. MORE
Imagine your pay data is like a self-improvement book. When it comes to pay trends and market data the line is not as bright, nor the negative consequences as personal, perhaps that is why I have seen so many cases of “we just did what the data said.” Sometimes data is bad. MORE
It takes more than a few Moneyball references (although they don’t hurt) to get buy-in from the C-suite and leaders within HR. HR Operations : getting visibility into historical data or delivering what the HRIS can’t. This means going beyond the data available in a single ERP. MORE
Successful business requires smart, informed business decisions, and informed business decisions require timely access to reliable data and its insights. Effective data governance is a cornerstone to business operations. Buyer Intent Data Governance. MORE
If you’re still doing traditional over-the-phone reference checking, then you’re not getting as much information as you could be. Reference checking can be one of the most insightful parts of the hiring process, if you use the right tools. Using Past Performance to Predict the Future. MORE
Use these sample employment reference check questions during your hiring process to gather information on your candidates’ past job performance from former employers and colleagues. Why you should conduct a reference check. Reference checks can shine a light on alarming past behaviors. MORE
The data OutMatch generated through automated reference checking for external hires was so compelling that this contractor applied the solution to internal talent selection too. In 2016 alone, approximately 6,140 candidate reference checks were performed. MORE
Data is now the most valuable currency in the world. But in contrast to the murky ethics of sourcing and selling consumer-driven data , leveraging internal HR data analytics to make better workforce decisions has been a key Human Resources best practice for decades. MORE
All of your marketing tactics, channels, and strategies are meaningless if you continually fall victim to one of the biggest issues plaguing our profession—bad data. It’s easy to mask bad data problems by going through the motions in marketing and sales. MORE
We all know the power of predictive data when making a hiring decision. The better, more reliable and accurate the data, the more consistent your hiring process. In this webinar you will learn: Why peer/referee data is the most predictive source of job success information. MORE
The International Coach Federation (ICF) is quite clear in its guidelines to coaches about when and how to refer a coaching client to therapy (Hullinger & DiGirolamo, 2018). Recognize When to Refer to Mental Health Professionals. References. MORE
If management hopes to get back in the game, then big data offers hope to those companies who seek better hiring and retention solutions. Unfortunately most organizations are lucky if they collect even a little data. How Big Data Can Beat the Antiquated Interview. MORE
Here, we provide a how-to guide for defining, collecting and responding to real-time data to continuously iterate on and improve employee engagement in a scalable way. Leveraging Real-Time Data. After you define a baseline metric, how do you know what the data you collect means? MORE
“As we continue into the era of data analytics, big data, AI, and personal tracking devices every HR professional should be prepared to face data that contradicts their beliefs sooner or later. New data should allow me to re-think my position and I should be fine with that. MORE
Technology can also aid in data collection and analysis. Data are facts and statistics collected for reference or analysis. And analytics is the systemic analysis of data or statistics. I know that at times I’m guilty of using terms like data and analytics interchangeably. MORE
In our research over the past year, we have found that–in addition to the analytics-focused CHRO , people analytics function leader , and HR business partner manager –the HR Data Scientist is also key to success. Mid- and senior-level HR Data Scientists must cover all these areas. MORE
For most of the 2010s, the story was the increasing importance of data in the human resource profession. We have all been learning how to effectively incorporate data into our decision-making. At first, the hype focused on big data. MORE
A cornerstone of Aberdeen’s methods is something you’ve been hearing about: Buyer intent data. This refers to information we capture about online research conducted by actual buyers who emit a discernible purchase intent signal. Buyer Intent Data with Context. MORE
Dirty data refers to the errors or gaps within your workforce data—think missing personal information, the folder of performance reviews you haven’t collated with your HRIS, typos, and other simple human errors. It’s next to impossible to have perfectly clean HR data. MORE
Your organization has made an investment in a third-party intent data provider, or is considering one. How recently have you updated your enterprise data governance capabilities and rules? Organizational trust in data for making business decisions: +12%. MORE
His comment made me realize that one of the changes HR is experiencing is a move from being a “people science” to being “data science about people.”. People and organizations partner to create big data. Customers partner with their favorite companies to buy stuff (and refer others.). MORE
Deadline for submitting EEO-1 Component 2 data is the end of September! The EEO-1 annual compliance survey requires certain employers to report company employment data categorized by race/ethnicity and gender in each of 10 job categories. Reporting Component 2 Data. MORE
Reference calls: what can you legally say? Laura Meier Lancaster is here today to give managers advice on how to talk to reference checkers about their former employees. Have you ever been called for a reference check on a former employee? What is a reference check? MORE
First up: Susan Etlinger , a data analyst with Altimeter Group, on why using big data responsibly requires critical thinking skills. Watch the video below, and keep reading for three key lessons from her talk: "We are not passive consumers of data and technology." MORE
Data volume has never necessarily been an issue for marketers. There’s always been so much data at your fingertips. Traditionally, the challenge has been identifying the real insights from that customer data. quintillion bytes of data are created every day ( for reference , 2.5 MORE
Successful business requires smart, informed business decisions, and informed business decisions require timely access to reliable data and its insights. Effective data governance is a cornerstone to business operations. Buyer Intent Data Governance. MORE
Women were also described as “supportive,” “collaborative,” and “helpful” nearly twice as often as men, and the women’s reviewes had more than twice the references to team accomplishments, rather than individual achievements. Overcoming Gender Bias with Data. MORE
One of the biggest of these challenges is the topic of data protection in an online world seemingly swarming with hackers, fraudsters and cyber-criminals. Your business should have a data security policy which outlines all of your security procedures. MORE
To answer this question, we compiled a report aggregating anonymized Visier customer data, from more than 20 enterprise companies representing over 600,000 employees. . The post Retaining Managers: New Data Reveals the Impact of People Analytics appeared first on Visier Inc. MORE
In an increasingly litigious society, performing reference checks has never been as important or as challenging. With that level of exaggeration, reference checks become even more important. For the hiring manager, the missing data could be crucial. Personal Business References. MORE
Aberdeen defines “advanced statistical analysis” (also referred to as “advanced analytics”) as a set of technologies that enable organizations to analyze data to uncover hidden trends, make forecasts, and glean actionable insights. MORE
And, as a result, recruiters and hiring managers are now operating within what is referred to as a “candidate-driven market.” As a result, contact and candidate data have become an increasingly hot commodity. Data Decay and Recruiting. What Is Data Hygiene? MORE
For instance, nearly 20-30% of candidates tend to fake references. Couple it with the fact 70% of HR managers rely on those references for quality hires and it becomes a much larger issue. So, why call references at all? Trending Now HR Articles Interviews Recruitment Reference MORE
This will give you the right context within which to analyze your data, a key component of strategic workforce planning. (To To learn more about the important insight you can gain from recruitment data, read about the 5 Benefits of a Data-Driven Recruitment Strategy ). MORE
Data drives business. More and more, insights based on data are becoming essential to human resources, particularly when it comes employee retention and engagement. It could provide key data for managers to understand and better engage their workforce. MORE
The B2B marketing world is abuzz with “purchase intent data.”. I write about it often enough, so to make sure my proselytizing is accurate, I often reference a super-handy guide Aberdeen produced, “Demystifying B2B Purchase Intent Data: Understanding the Basics.”. MORE
Stratus
JULY 25, 2019
Reference calls: what can you legally say? Laura Meier Lancaster is here today to give managers advice on how to talk to reference checkers about their former employees. Have you ever been called for a reference check on a former employee? What is a reference check?
Workable
NOVEMBER 10, 2017
Use these sample employment reference check questions during your hiring process to gather information on your candidates’ past job performance from former employers and colleagues. Why you should conduct a reference check. Reference checks can shine a light on alarming past behaviors.
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HR Bartender
JULY 17, 2018
Technology can also aid in data collection and analysis. Data are facts and statistics collected for reference or analysis. And analytics is the systemic analysis of data or statistics. I know that at times I’m guilty of using terms like data and analytics interchangeably.
Visier
SEPTEMBER 17, 2019
Dirty data refers to the errors or gaps within your workforce data—think missing personal information, the folder of performance reviews you haven’t collated with your HRIS, typos, and other simple human errors. It’s next to impossible to have perfectly clean HR data.
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anecdotal data points (e.g., referred to as unconscious bias. This means that if incorrect data. — or more likely insufficient data — is fed in, the. and is now evaluating large amounts of data that were not earlier methodically. Building AI to Unlearn Bias in.
Aberdeen HCM Essentials
FEBRUARY 5, 2020
Data volume has never necessarily been an issue for marketers. There’s always been so much data at your fingertips. Traditionally, the challenge has been identifying the real insights from that customer data. quintillion bytes of data are created every day ( for reference , 2.5
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Ultimate Software
AUGUST 2, 2019
Data is now the most valuable currency in the world. But in contrast to the murky ethics of sourcing and selling consumer-driven data , leveraging internal HR data analytics to make better workforce decisions has been a key Human Resources best practice for decades.
Visier
JULY 25, 2019
To answer this question, we compiled a report aggregating anonymized Visier customer data, from more than 20 enterprise companies representing over 600,000 employees. . The post Retaining Managers: New Data Reveals the Impact of People Analytics appeared first on Visier Inc.
Visier
NOVEMBER 6, 2018
In our research over the past year, we have found that–in addition to the analytics-focused CHRO , people analytics function leader , and HR business partner manager –the HR Data Scientist is also key to success. Mid- and senior-level HR Data Scientists must cover all these areas.
Hospital Recruiting
DECEMBER 5, 2017
In an increasingly litigious society, performing reference checks has never been as important or as challenging. With that level of exaggeration, reference checks become even more important. For the hiring manager, the missing data could be crucial. Personal Business References.
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Somewhat surprisingly, directional data revealed that more. reference checks Organization. and reference. professionals with career opportunities, data, insights and advice. RECRUITMENT. AUTOMATION. REPORT AI and Hiring: How today’s recruiters are bracing.
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Get Hppy
MAY 14, 2019
One of the biggest of these challenges is the topic of data protection in an online world seemingly swarming with hackers, fraudsters and cyber-criminals. Your business should have a data security policy which outlines all of your security procedures.
HRExecutive
JUNE 12, 2019
For most of the 2010s, the story was the increasing importance of data in the human resource profession. We have all been learning how to effectively incorporate data into our decision-making. At first, the hype focused on big data.
MapHR
AUGUST 13, 2018
For instance, nearly 20-30% of candidates tend to fake references. Couple it with the fact 70% of HR managers rely on those references for quality hires and it becomes a much larger issue. So, why call references at all? Trending Now HR Articles Interviews Recruitment Reference
HR Examiner
MARCH 19, 2019
Neil McCormick and Dr. Chris Andrews discuss the need for a globally recognized, structured approach, to managing and maintaining the overall workforce data quality in organizations. HR Data Quality. His statement that ‘ Data depreciates. References: Bovee et al.
Workplace Psychology
OCTOBER 6, 2019
The International Coach Federation (ICF) is quite clear in its guidelines to coaches about when and how to refer a coaching client to therapy (Hullinger & DiGirolamo, 2018). Recognize When to Refer to Mental Health Professionals. References.
Aberdeen HCM Essentials
JANUARY 30, 2019
Successful business requires smart, informed business decisions, and informed business decisions require timely access to reliable data and its insights. Effective data governance is a cornerstone to business operations. Buyer Intent Data Governance.
Aberdeen HCM Essentials
JANUARY 30, 2019
Successful business requires smart, informed business decisions, and informed business decisions require timely access to reliable data and its insights. Effective data governance is a cornerstone to business operations. Buyer Intent Data Governance.
HR Examiner
AUGUST 6, 2019
“As we continue into the era of data analytics, big data, AI, and personal tracking devices every HR professional should be prepared to face data that contradicts their beliefs sooner or later. New data should allow me to re-think my position and I should be fine with that.
HR Bartender
DECEMBER 18, 2016
His comment made me realize that one of the changes HR is experiencing is a move from being a “people science” to being “data science about people.”. People and organizations partner to create big data. Customers partner with their favorite companies to buy stuff (and refer others.).
Outmatch
FEBRUARY 15, 2016
If you’re still doing traditional over-the-phone reference checking, then you’re not getting as much information as you could be. Reference checking can be one of the most insightful parts of the hiring process, if you use the right tools. Using Past Performance to Predict the Future.
Aberdeen HCM Essentials
APRIL 3, 2019
Your organization has made an investment in a third-party intent data provider, or is considering one. How recently have you updated your enterprise data governance capabilities and rules? Organizational trust in data for making business decisions: +12%.
Aberdeen HCM Essentials
JANUARY 15, 2019
A cornerstone of Aberdeen’s methods is something you’ve been hearing about: Buyer intent data. This refers to information we capture about online research conducted by actual buyers who emit a discernible purchase intent signal. Buyer Intent Data with Context.
Aberdeen HCM Essentials
JUNE 11, 2019
All of your marketing tactics, channels, and strategies are meaningless if you continually fall victim to one of the biggest issues plaguing our profession—bad data. It’s easy to mask bad data problems by going through the motions in marketing and sales.
Cornerstone On Demand
JULY 21, 2015
First up: Susan Etlinger , a data analyst with Altimeter Group, on why using big data responsibly requires critical thinking skills. Watch the video below, and keep reading for three key lessons from her talk: "We are not passive consumers of data and technology."
Outmatch
FEBRUARY 22, 2017
The data OutMatch generated through automated reference checking for external hires was so compelling that this contractor applied the solution to internal talent selection too. In 2016 alone, approximately 6,140 candidate reference checks were performed.
Compensation Cafe
FEBRUARY 4, 2020
Imagine your pay data is like a self-improvement book. When it comes to pay trends and market data the line is not as bright, nor the negative consequences as personal, perhaps that is why I have seen so many cases of “we just did what the data said.” Sometimes data is bad.
HRWatchdog
SEPTEMBER 24, 2019
Deadline for submitting EEO-1 Component 2 data is the end of September! The EEO-1 annual compliance survey requires certain employers to report company employment data categorized by race/ethnicity and gender in each of 10 job categories. Reporting Component 2 Data.
Visier
JANUARY 8, 2019
It takes more than a few Moneyball references (although they don’t hurt) to get buy-in from the C-suite and leaders within HR. HR Operations : getting visibility into historical data or delivering what the HRIS can’t. This means going beyond the data available in a single ERP.
Aberdeen HCM Essentials
FEBRUARY 4, 2019
The B2B marketing world is abuzz with “purchase intent data.”. I write about it often enough, so to make sure my proselytizing is accurate, I often reference a super-handy guide Aberdeen produced, “Demystifying B2B Purchase Intent Data: Understanding the Basics.”.
Visier
JULY 11, 2018
This will give you the right context within which to analyze your data, a key component of strategic workforce planning. (To To learn more about the important insight you can gain from recruitment data, read about the 5 Benefits of a Data-Driven Recruitment Strategy ).
Reflektive
MARCH 6, 2017
Data drives business. More and more, insights based on data are becoming essential to human resources, particularly when it comes employee retention and engagement. It could provide key data for managers to understand and better engage their workforce.
Visier
FEBRUARY 16, 2017
Women were also described as “supportive,” “collaborative,” and “helpful” nearly twice as often as men, and the women’s reviewes had more than twice the references to team accomplishments, rather than individual achievements. Overcoming Gender Bias with Data.
Cornerstone On Demand
APRIL 9, 2015
If management hopes to get back in the game, then big data offers hope to those companies who seek better hiring and retention solutions. Unfortunately most organizations are lucky if they collect even a little data. How Big Data Can Beat the Antiquated Interview.
Reflektive
JUNE 12, 2017
Here, we provide a how-to guide for defining, collecting and responding to real-time data to continuously iterate on and improve employee engagement in a scalable way. Leveraging Real-Time Data. After you define a baseline metric, how do you know what the data you collect means?
HR Daily Advisor
MAY 16, 2018
And, as a result, recruiters and hiring managers are now operating within what is referred to as a “candidate-driven market.” As a result, contact and candidate data have become an increasingly hot commodity. Data Decay and Recruiting. What Is Data Hygiene?
Aberdeen HCM Essentials
JANUARY 28, 2019
Aberdeen defines “advanced statistical analysis” (also referred to as “advanced analytics”) as a set of technologies that enable organizations to analyze data to uncover hidden trends, make forecasts, and glean actionable insights.
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