As we in HR work to absorb and apply the possibilities that data and analytics present for the design and administration of employee pay, we often look to our peers in Marketing - always several steps ahead of us in this game - for lessons and insights. With this in mind, it is also appropriate that we heed the cautionary tales that emerge around Marketing's leading edge push into the Age of Algorithms. Specifically, the degree to which Big Data may be creating a new potential and power to discriminate.
We're already seeing this dilemma rear its head in Marketing, as Michael Schrage highlights in his recent HBR blog post Big Data's Dangerous New Era of Discrimination. In his article, he shares a few examples of the segmentation opportunities that marketing analytics have created and raises important questions about how they might be used.
Going more granular, as Big Data does, offers even sharper ethno-geographic insight into customer behavior and influence:
• Single Asian, Hispanic, and African-American women with urban post codes are most likely to complain about product and service quality to the company. Asian and Hispanic complainers happy with resolution/refund tend to be in the top quintile of profitability. African-American women do not.
• Suburban Caucasian mothers are most likely to use social media to share their complaints, followed closely by Asian and Hispanic mothers. But if resolved early, they’ll promote the firm’s responsiveness online.
• Gay urban males receiving special discounts and promotions are the most effective at driving traffic to your sites.
My point here is that these data are explicit, compelling and undeniable. But how should sophisticated marketers and merchandisers use them?
HR systems are home to a host of demographic data about our employees. To what degree do we seek and apply the insights that quite likely exist there in managing and seeking to improve the productivity of our workforces?
Just one case in point. Several years ago, I wrote a post about a study titled "Rewarding a Multigenerational Workforce" that had just been released by WorldatWork. In the summary of findings, the study's authors noted that a majority of organizations responding (56%) did not, at that time, even consider generational differences when designing total rewards programs and gently chided employers for not realizing "the importance of evaluating the needs of each generation uniquely and rewarding them accordingly."
The study's intent was clearly not to encourage discrimination but rather to encourage a more informed and evidence-based approach to reward design. Nonetheless, I think the concerns that the report raised for me and many who commented on this post present us with an early example of the potential dilemmas we may face as the data increasingly available to us brings ever more specific revelations about the preferences for and responses to rewards in different worker segments. Sooner or later, we will find the need to ask ourselves the question Schrage raises (and I paraphrase below):
Where, in our corporate cultures and strategies, does value-added personalization and segmentation end and harmful discrimination begin?
Your thoughts?
Ann Bares is the Founder and Editor of the Compensation Café, Author of Compensation Force and Managing Partner of Altura Consulting Group LLC, where she provides compensation consulting to a range of client organizations. Ann serves as President of the Twin Cities Compensation Network (the most awesome local reward network on the planet) and is a member of the Advisory Board of the Compensation & Benefits Review, the leading journal for those who design, implement, evaluate and communicate total rewards. She earned her M.B.A. at Northwestern University’s Kellogg School, is a foodie and bookhound in her spare time (now reading Katherine Boo's "Behind the Beautiful Forevers: Life, Death and Hope in a Mumbai Undercity"). Follow her on Twitter at @annbares.
Creative Commons image "Puzzling" by jhritz
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