Skip to content

Posts from the ‘Analytics’ Category

Analytics – State of the Market

WFM Big DataIn this year’s annual list of top Workplace Trends, the Workforce Institute board predicted that analytics would turn a corner in 2015, with an increasing number of organizations expected to begin using analytics for evidence-based decision making in their workforce management practices.  Now that we’re halfway through 2015, we’ve invited two data experts on the program to discuss if this prediction is becoming reality.

My first guest for this podcast is David Creelman, CEO of Creelman Research and fellow board member at The Workforce Institute. As an analyst, author, and industry expert, David helps HR leaders identify, understand, and address emerging trends in human capital management. He also partners with Carnegie-Mellon to lead a community of practice on analytics and evidence-based decision making for a group of Fortune 500 companies.  We were joined by Gregg Gordon, a colleague of mine at Kronos who oversees our big data for workforce management group. This team of data scientists, business intelligence designers, and strategic consultants work with Kronos customers to deploy analytic solutions in workforce management. Prior to launching the big data workforce management group, Gregg led the manufacturing business practice at Kronos for nearly a decade. During that time he authored the book, Lean Labor: A Survival Guide for Companies Facing Global Competition, which is currently being transformed into a course by the American Payroll Association.  Gregg, welcome to Workforce Institute Radio.

 During this conversation, we explored what’s happening at the intersection of big data and workforce management and discussed the following questions:

  1. Based on conversations you’ve had with human capital management and workforce management leaders, what’s the general market mindset about leveraging analytics to manage the workforce? Are HR leaders and other key stakeholders buying in?
  2. Have you seen common factors that have led to analytics success? Or, conversely, what could make an analytics project fail?
  3. How can organizations ensure employees that analytics can HELP their individual job roles and make their working lives better?
  4. Have you seen specific instances where analytics are being used to engage and reward the workforce? (e.g. rewarding top performers)
  5. Where do you see analytics technology having an impact on workforce management over the next 5-10 years

You can listen to our conversation below.  And please weigh in by adding your own comments to this post.  What’s working for your organization when it comes to leveraging data insights?

Podcast: Creating HR Analytics That Matter

Kronos analyticsYesterday I chatted with our board members David Creelman and William Tincup about what organizations need to do to create HR analytics that matter to the business.  Big Data is one of the linchpins of the big 4 SMAC themes in technology today: Social-Mobile-Analytics-Cloud.  Deployed alone and in various combinations, these technologies continue to transform the way work gets done. For many people,  harnessing the power of big data remains a new frontier.  In this podcast, David and William share their thoughts on some of the following questions:

  • If you’re new to analytics, how do you get started?
  • What skills do you need to implement analytics projects?
  • How do you present the results of your data analysis to senior management?

You can listen to our conversation here: 

What have you done to embed more data-driven decision making into your organization?

A Conversation About Making Big Data Small

big data whisperer
I recently had the opportunity to interview  Aram Faghfouri, senior data scientist at Kronos; Holger Mueller, vice president and principal analyst at Constellation Research; and David Wright, vice president of architecture at Kronos, about the challenges and rewards associated with making big data small.  Everybody’s talking about Big Data, which is increasingly becoming a major strategic focus for firms that sell technology and consulting services.  The mountain of data that the former help organizations create provides an equally large opportunity for the latter to help interpret.

For many organizations, mining their transactional data for analytical “pots of gold” can seem both daunting and potentially dangerous when they begin to contemplate issues like data security and privacy.  Aram, Holger and Dave shared their views on the following topics that may help you transform your mountain of data into nuggets of insight:

  • What kinds of data are valuable to workforce management leaders;
  • Practical advice on how to get started;
  • Privacy concerns and projections for how they will be addressed; and
  • The skills gap surrounding big data and strategies for finding success.

 You can listen to our conversation here.

What are you doing to leverage data to transform your workplace?