Brave Starts’ Post

Looking at the data on people intending to stay in their jobs, do you think we chose the wrong demographic?! Even though much fewer people are exploring their options relative to their 25-35 peers the challenges and insights we have from working with the 45+ age groups means we are well placed to add real value. Read the full Phoenix report here: https://buff.ly/3Or7smA

Andrew Pitts is embarking on an ambitious project to map the global People Analytics community using ONA. Andrew is joined by Richard Rosenow, Stephanie Murphy, Ph.D., and Matthew Diabes, PhD in making this happen, and should give a fascinating perspective on the reach that the concept of People Analytics now has in business worldwide. The People Analytics Network Census is open to all practitioners, vendors, consultants, academics - if you work in People Analytics nominally, or otherwise feel a professional connection with the idea of using people data to drive business decisions and processes, you can use the link below to sign up. After you complete the survey, you can opt in to receive a personal network report to see your own connectivity across the global network. https://lnkd.in/gkQ7tUeR #peopleanalytics #hranalytics #PAWorld Their privacy policy is here, it makes clear the data won't be used for marketing or resold. https://lnkd.in/dcKKPH5h

Hey #PeopleAnalytics people, interested in people analytics for people analytics people? Well, the People Analytics Network Census (PANC) just launched! This awesome project is designed to help us better understand the networks within our PA community and offer actionable insights about our careers and how we can come together better as a community. It's also a neat opportunity to be on the participant side of an active organizational network analysis (ONA) study! If you are involved in the People/HR/Workforce/Talent/Human Capital Analytics profession anywhere in the world - whether you are an analyst, consultant, leader, in PA tech, vendor, academic, or other - this is your community! I think it's time all of us who are using data and insights about people to drive decision making about work or the workplace can get better connected and learn more about this beautiful, broad, and big community we are all a part of. I hope you will sign up to participate before Dec 2 here: https://lnkd.in/g5m-2NEe In case you needed additional motivation, you'll also get some pretty cool things: 🔍 Get a personal network report showing where you fit in the field. 🌐 Help reveal and share community-wide insights. 🏆 Opt-in to be recognized as an influencer in People Analytics. 📊 Contribute to academic research that advances our understanding of networks. Oh, and if you're worried about how all data will be handled, this team is taking privacy and appropriate use of this information seriously! Detailed info about how your data will be used and data privacy policies are shared on that sign-up link. Much deserved shout outs go to Andrew Pitts, Richard Rosenow, Stephanie Murphy, Ph.D. and Matthew Diabes, PhD, for creating this project! #HRanalytics #HRTech #WorkforceAnalytics #DataDrivenHR #PeopleData #EmployeeExperience #TalentAnalytics #HumanResources #DataScience #PeopleStrategy #HRInnovation #FutureOfWork #PeopleOps #PeoplePerformance #workforceplanning Polinode, Society for People Analytics, Insight222, Directionally Correct, People Analytics World

💡 If you are a people analytics professional, I highly encourage you to sign up for this research study!

📊🌐 **Unlocking Insights: Analyzing Demographic and Employment Trends** 🌐📊 Diving into the depths of a rich dataset can reveal fascinating insights into demographic and employment trends that shape our workforce landscape. Let's explore some key takeaways from our recent analysis: 🔍 **Age Distribution**: Understanding the age distribution across industries and regions provides valuable insights into workforce dynamics. Are certain sectors dominated by younger professionals, while others see a more mature workforce? Analyzing age demographics uncovers trends that impact talent acquisition and retention strategies. 🏢 **Industry Profiles**: From technology to healthcare, each industry has its unique footprint in the job market. By dissecting industry profiles, we uncover growth sectors, emerging opportunities, and areas for innovation. These insights drive informed decisions in resource allocation and industry-specific initiatives. 💰 **Income and Compensation**: Delving into income distributions and compensation structures sheds light on wage disparities and equitable pay practices. Are certain demographics or industries experiencing wage gaps? Our analysis illuminates opportunities for fostering fair compensation practices and promoting economic equity. 🌍 **Geographic Trends**: Location matters in the job market. Examining geographic trends reveals regional disparities in job opportunities, labor market conditions, and economic development initiatives. These insights inform strategic decisions in workforce planning and talent acquisition efforts. 🎓 **Experience and Education**: The interplay between experience levels and educational backgrounds paints a picture of workforce skills and qualifications. Identifying skill gaps and training needs empowers organizations to invest in professional development and talent pipelines. 🌈 **Diversity and Inclusion**: Diversity is more than just a buzzword—it's a business imperative. Analyzing gender and racial diversity within industries and regions highlights opportunities for fostering inclusive workplaces and driving innovation through diverse perspectives. 🚀 **Actionable Insights**: Armed with these insights, organizations can make evidence-based decisions in workforce planning, economic policy, and diversity initiatives. Let's harness the power of data to drive positive change and shape a future of inclusive growth and opportunity. Join the conversation and share your thoughts on the evolving landscape of demographic and employment trends. Together, let's unlock insights and pave the way for a more equitable and prosperous workforce. #DataAnalytics #WorkforceTrends #DiversityandInclusion #LinkedInAnalysis #FutureOfWork

This week project was an insightful data analysis assignment from TDI DATA EMPLOYEE for week 5 focused on understanding employee distribution across different locations, demographics, and job roles. The aim was to uncover patterns and provide actionable insights that could support workforce planning and strategic decision-making. Here’s a quick overview of what the project involved: 🔹 Employee Distribution: Analyzed how employees are spread across various cities and countries to spot trends and areas that need attention. 🔹 Diversity Insights: Took a deep dive into demographic data to explore factors like gender balance and age distribution across job titles. 🔹 Excel Visualizations: Used PivotTables and charts to map out the relationship between employee age, job roles, and their locations, making the data easier to interpret. 🔹 Trend Analysis: Highlighted patterns such as which job titles had more experienced employees and how demographics are influencing workforce composition. The findings gave us a clear picture of the workforce, helping management make data-driven decisions on hiring, resource allocation, and diversity initiatives. I’m excited about the outcomes and the value this project brings to our company, and I look forward to applying these insights in future projects to drive even more impact. #TDI TheData Immersed(TDI) Anne Nnamani

A Day in the Life of Americans. One of the coolest Data Viz! What do you think? Look at microdata from the American Time Use Survey from 2014, which asked thousands of people what they did during a 24-hour period. Hee's the data to simulate a single day for 1,000 Americans representative of the population — to the minute. Each dot represents a person, color represents the activity, and time of day is shown in the top left. As someone changes an activity, say from sleep to a morning commute, the dot moves accordingly. Following the timeline of the ATUS, the simulation starts at 4:00am and runs through 24 hours. The day starts with little movement as people are asleep and won’t wake up for a few hours. For most, the day starts at 7:00am and then it’s off to the races (which is especially fun to see on the fast speed). You see people head to work, run errands, do housework, take care of the kids, commute, relax, and eat at almost designated times during the day. Check the stared at these dots longer than they care to admit. Although with all 1,000 dots floating around it can be a challenge to keep track of where all those people went. The survey was conducted by the U.S. Bureau of Labor Statistics in 2014 over 1,000 Americans.The survey was conducted by the U.S. Bureau of Labor Statistics in 2014 over 1,000 Americans. Credit for graphics @Nathan You #data #datascience #datavisualization #analytics

How can you empower countries to make a case for investing in the #socialserviceworkforce using demographic data? In recognition of World Social Work Day this week, read this blog, which discusses findings from an assessment completed by D4I to identify promising approaches to plan the social service workforce. https://ow.ly/cfOT50QUkJx #WSWD2024 #childreninadversity

Introducing: The #UNITED States of America Series Challenging division, one data point at a time. Americans are constantly bombarded with messages of how divided we are as a nation. As we march towards the November election, many of us are dreading the next 5 months. As a researcher at Ipsos, I get the benefit of being exposed to polling data about a big range of topics. Sure, differences arise between demographic groups – and those are the ones that tend to get picked out and splashed everywhere. But every day I am also struck by the common ground we share. I decided it might help my mental state over the next few months to seek out these unifying data points and remind myself that despite our differences, we’re more connected than we realize. I plan to share these weekly for a dose of positivity, shared values, and maybe new insights along the way. First up is this data point from Ipsos’ latest "What The Future" showing that the majority of Americans value having creative outlets in their daily lives. What is also interesting is that work is a big outlet for creativity - 80% of full-time workers said that they get to be creative to solve problems in their jobs. I think it’s cool that many people are extracting value from their 9-5 beyond just a paycheck. Businesses should think about ways to prioritize providing opportunities and outlets for creativity in order to retain top talent. Read more here: https://lnkd.in/ge-PPshB

It is really fascinating to see how so much can be said with a combination of a few visuals.