Job Analysis: A Practitioner’s Guide

Analytics in HR

Job analysis is a common technique aimed at providing detailed information on a worker’s job. A job analysis can help draft a better job description, lead to a safer work environment, help in workforce planning, and is key in performance management. Contents What is job analysis?

Avoiding Analysis Paralysis

Compensation Cafe

In making that determination, though, just how precise does the analysis have to be? To what lengths should one go to increase the level of perceived exactitude in the analysis, and is that effort worthwhile? Is that distorting data?

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The Skills Gap Analysis – A Full Guide

Digital HR Tech

In a time where companies experience a rapidly growing need to re-and upskill their people, the skills gap analysis becomes an increasingly relevant tool. Content What is a skills gap analysis? Why is a skills gap analysis useful? What is a skills gap analysis?

Data Conversion Essentials


Data conversion is never easy. It can be a nightmare for any organization going through an implementation of a new HRIS and payroll system; however, with some preparation and analysis, this process can become a bit easier. There are some processes that can be followed to ensure reduction in errors and bad data loads. Unfortunately, not many people spend the time to clean up their data before data conversion. Perform an analysis and look for these errors.

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Pressure Points: How to Ensure Your B2B Pipeline Passes Inspection

This eBook highlights best practices for developing a pipeline management process that helps sales leaders and their team C.L.O.S.E (you’ll see what we mean in this eBook) more revenue through data-driven prospecting, stage analysis, and subsequent sales enablement.

3 Essential Best Practices For Employee Survey Analysis Of Qualitative Data


Employee surveys will typically be made up largely of quantitative items, meaning closed-ended items in which the points in the scale can be assigned a numeric value, allowing psychometricians and statisticians to analyze the data to find useful insight.

Quantify Career Success with Alumni Analysis

Burning Glass Technologies

Quantify Career Success with Alumni Analysis. Join the Burning Glass Technologies team to walk through Alumni Analysis, a new premium add-on dashboard available for Labor Insight. Webinars alumni alumni analysis career success Careers Higher Ed higher education student success

Gain efficiency with data analysis software tailored to your needs


The post Gain efficiency with data analysis software tailored to your needs appeared first on Talentia Software. HR BLOG data analysis software HR softwareToday, the human resources function has never been so wide and important in companies. The image of the function that was limited to the scoring of delays or absences is over. From now on, HR departments will also have to manage employees’ careers and retain them in companies.

Recruiting with Predictive Analysis

HR Daily Advisor

Data can help to understand that. Using data sets, this type of prediction can be made. Data can be gathered about previous candidates who have and have not accepted such offers to predict who is more likely to in the future.

5 Steps to Improve Talent Acquisition Through Better Data Analysis


5 Steps to Improve Talent Acquisition Through Better Data Analysis. However, with a simple 5-step approach utilizing data-driven analysis applications , a blueprint or plan for improved talent acquisition is attainable. Provide Success with Data: The Grand Slam and Goal.

How ZoomInfo Enhances Your Database Management Strategy

Forward-thinking marketing organizations have continuously invested in a database strategy for enabling marketing processes. Download this ebook to learn how to maintain a strategy that includes refreshed information, database cleanses, and an accurate analysis at the same time.

People-centric analytics: how can employees benefit from data analysis?

Analytics in HR

In other words, how can the employers use data to gain new insights on people topics and affect their organization? Thanks to this analysis, PostNL optimized its recruitment process and reduced its recruitment costs. And what does this mean for data management?

Differentiate Intent Data Analysis with Advanced Analytics

Aberdeen HCM Essentials

Advanced statistical analysis enables market research organizations to derive meaningful insights into key market trends. 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. Do the outcomes of Minkara’s research also apply to buyer intent data?

Differentiate Intent Data Analysis with Advanced Analytics

Aberdeen HCM Essentials

Advanced statistical analysis enables market research organizations to derive meaningful insights into key market trends. 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. Do the outcomes of Minkara’s research also apply to buyer intent data?

5 Advanced Data Analysis Techniques Applied to People Analytics

Analytics in HR

In previous articles, I have given multiple examples of how employees can benefit from data analytics. In this article, I would like to explore a set of different, advanced data analysis techniques to see how they can be used to analyze people data for improved organization success. Data science is increasingly incorporated in businesses, products, and society at large. Regression analysis. How can it help address business issues with people data?

Opportunities for Teaming and Engagement

Speaker: Jon Ingham, Social HR Strategist

In this webinar, social HR strategist Jon Ingham will explain some of the key opportunities for using teaming as a direct input to meeting business needs, while also strengthening employee engagement.

EEO-1 Component 2 Pay Data Analysis

Biddle Consulting

External Pay Equity: The OFCCP will measure pay equity between companies; specifically, they will compare a company’s EEO-1 Pay Data against others in the relevant business sector. The OFCCP is less clear on their strategy to measure external pay equity with the EEO-1 pay data. Consider the following analysis example of EEO Category 1.1: Females have lower internal representation in pay bands 7-12 (28%) than external data (40%).

Don’t Overthink Your Data – Friday Distraction

HR Bartender

The purpose of collecting data is to take some action using the data. And, taking action is often one of the most challenging steps in any type of data collection process. Obviously, it doesn’t make sense to collect data and not do anything with it. The data might help us make a decision, notice a trend, or monitor our effectiveness. But when we get lots of data, it can be tempting to spend ridiculous amounts of time studying it.

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Why Cohort Analysis is Key to Effective D&I Programs

Visier - Talent Acquisition

As they start to breakdown this data into locations, job families, management / non-management or organizational levels, they start to see the wide range of difference that is contributing to that overall 25%. How to do D&I-focused time-based cohort analysis.

Birmingham Uses Labor Data Analysis to Build a Stronger Workforce

Burning Glass Technologies

region and provide a foundation for local leaders as they use real-time labor data to guide their community’s decisions and improve their workforce. The Bold Goals Coalition of Central Alabama commissioned Burning Glass Technologies and the Council for Adult and Experiential Learning to conduct a joint economic development and labor market analysis to examine the issues and opportunities facing the region.

Improve Quality of Hire Using Recruiting Data and Analytics

HR Bartender

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. Now let’s shift to recruiting data. Agree on the data.

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Annual HR Systems Survey Analysis Is Here!

China Gorman

With the retirement of long-time analyst Lexy Martin, Stacey Harris has stepped up magnificently and published a whopper of an analysis of all things HR tech, the 18 th since 1997. Sierra-Cedar encourages the dissemination of this white paper and I encourage you to download it here because it’s full of interesting survey data analysis. As a business leader, I find it interesting to see the comparison between talent-driven outcomes vs. data-driven outcomes.

Three Customer Data Analysis Best Practices

G2 Crowd

If you’re a marketer, you know all too well just how much customer data is available. Gone are the days of complaining about not having enough data to be able to make informed decisions about campaign and messaging optimization. What most marketers ask themselves now is, “How do I take all of this data and turn it into intelligent insights about my customers to create relevant, personalized experiences?”. That’s where thorough customer data analysis comes into play.

Boo! Four Scary Employee Engagement Situations to Avoid With Better Survey Data Analysis


But simply surveying your workforce for sentiment data once a year and getting a sleek report won’t give you the insights you need to avoid serious snafus. Here are four scary employee engagement situations to avoid, along with handy survey analysis tips that can help you foster a motivated and committed workforce: Scary Situation #1: Your Employees Are “Engaged”… in Planning Their Next Vacation. E mployees raising a publicized stink with the union over your rewards.

Seven Steps to a Solid Job Task Analysis


Although Job Task Analysis (JTA) was created to help management make hiring, promotion, wage, and salary decisions, it serves a much bigger purpose. JTA is a data-driven approach that is designed to identify the work requirements of specific jobs by providing a detailed overview of the knowledge, tasks and responsibilities that must be performed by workers in a given occupational area to successfully perform the job.

A Useless Analysis?

Compensation Cafe

I presume that's the case because compensation planning surveys compile and report such data. Aside from anecdotal information (presenting multiple data points), I have never understood the importance of this reporting. To be fair, perhaps my career experience is the exception, as I've never used that data in program analysis, or even reported it. Bottom line, can someone tell me why tracking other organization's guesstimated midpoint movement is a valuable analysis?

How To Use Cohort Analysis for Better Workforce Decisions


Instead of accepting an intuition-based decision, consider performing a data-driven cohort analysis, where you look at each employee’s detailed work records and perform comparisons against similar employees and employee groups. Here are some common scenarios where data-driven cohort analysis can aid in making better decisions: Improving Compensation Reviews. It’s essential that you turn to your workforce data when an employee comes to you with a competing offer.

Jobs Data Analysis at Davos Shows It’s Cheaper to Reskill Than Rehire Workers Displaced by AI

Burning Glass Technologies

A new Davos report using Burning Glass Technologies jobs data answers a basic question about technology and the future of work: in many cases, it’s cheaper to reskill workers than to hire new ones. The cost-benefit analysis becomes even better if public-private partnerships become involved. The financial analysis works for government as well.

Text Analysis in HR: A Brief Case Study

Analytics in HR

There is typically one overlooked source of data that may provide the most direct reflection of that: text. It can cement the marriage between supporting the human and cultural side of organizations and optimizing business using data and analytics.

Using Engagement Surveys For Employee Turnover Data Analysis


In a previous article , we discussed linking exit survey responses to employee turnover data analysis for the purpose of identifying drivers of attrition. Exit surveys, however, are not the only tool available for better understanding employee turnover statistics. Employee Survey Predictive Analytics

What Is Your Workforce Thinking? Leveraging AI for Employee Sentiment Analysis


My goal is to focus heavily on use cases that matter to today’s HR and business executives, and one of those that’s particularly intriguing is sentiment analysis. . In reality, we’re telling an ongoing story that encapsulates our lives, but there’s also value in the data for companies that need to understand what’s going on under the surface. The process of mining this data for insights is called sentiment analysis.

Supply and Demand of Jobs – an analysis with Pandologic

Adzuna Blog

To help make sense of what’s going on, Pandologic and Adzuna have joined forces to compare our data. We looked at some key sectors in the economy, took Pandologic’s data about click and application costs and rates, then overlaid Adzuna’s job volume data to see if we could see a pattern.

Learning from Practice: Utility Analysis for Training

Analytics in HR

I was reading literature about utility analysis at that time, giving me the faith that also in HR we had more rigorous approaches to financial estimates of HR-initiatives. Utility analysis defined. So what is utility analysis? Making use of utility analysis.

Project Productivity & Profitability Analysis Tools on the Cloud

AssessTEAM Performance Management

Project profitability analysis is crucial to the success of a project. We empower project managers to meet project objectives, deliver profitability and ensure client satisfaction by giving them real-time project profitability analysis at their fingertips. The first step in starting to use project profitability analysis is to either add a new project one at a time or import your projects in bulk from systems like Basecamp, Wrike and 1200 other software linked via Zapier.

Why Clean Data is the Best Data

Cornerstone On Demand

In today's HR landscape, data is having a moment. HR data is essentially HR business intelligence. All of the cool technology in the world cannot override bad data, which is why the accuracy of HR data is a highly strategic function. Next I went into banking, and while "records" were not part of my responsibility, I relied on the data for my compensation analysis. Technology as a Data Keeper. Why is Accurate Data so Important?

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Data alignment in an Analytical world


This is especially important when working with data and analytics, and extracting data as databases have become much easier to use. When focusing on analytics and the use of system data, System Administrators must focus on today’s environment, and what the requirements are for tomorrow’s data. These items include: How does our business model align with our data and talent management needs? Written by: Ray Eaton.

Final Twitter Analysis of #ERE17


Big Data, Campus Recruiting, Career Development, Crowdsourcing, HR Recruiter, Minnesota, Recruiter Jobs, Offshoring, Recruiting Process, Recruiting Software, Recruitment Process Outsourcing, artificial intelligence, employee retention, employer branding, recruitment outsourcing, recruitment technology, talent acquisition, video interviewing. The post Final Twitter Analysis of #ERE17 appeared first on HRmarketer. The city of Minneapolis is full of wonderful, caring, polite people.