{"id":785,"date":"2022-04-18T22:00:25","date_gmt":"2022-04-19T02:00:25","guid":{"rendered":"https:\/\/digital.hbs.edu\/platform-peopleanalytics\/?post_type=hck-submission&p=785"},"modified":"2022-04-18T22:00:25","modified_gmt":"2022-04-19T02:00:25","slug":"using-operating-models-to-bake-ethics-into-the-people-analytics-recipe","status":"publish","type":"hck-submission","link":"https:\/\/d3.harvard.edu\/platform-peopleanalytics\/submission\/using-operating-models-to-bake-ethics-into-the-people-analytics-recipe\/","title":{"rendered":"Using operating models to bake Ethics into the People Analytics recipe"},"content":{"rendered":"\n\n\n

People Analytics is here \u2026 with all its flaws<\/strong><\/p>\n\n\n\n

In 2020, LinkedIn surveyed 7,000 talent professionals<\/a> across the globe to identify the biggest trends in HR. The study reported a whopping 242% increase of \u201cHR professionals with data analysis skills\u201d (measured over 5 years).<\/p>\n\n\n\n

However, data analysis is half of the recipe \u2013 for people analytics to be truly effective it is also necessary to draw meaningful insights and design actionable, impactful policies … the exact steps companies report having less mastery over:<\/p>\n\n\n\n

\"\"
linkedin-2020-global-talent-trends-report<\/a><\/figcaption><\/figure>\n\n\n\n

Thus LinkedIn\u2019s report suggests one flaw of people analytics is overstated usefulness in effective decision-making. The cleanest, most complete data means little if limited actions are taken.<\/p>\n\n\n\n

Another flaw would be privacy threats \u2013 it\u2019s easy to imagine people analytics regressing into just another excuse for creepy data collection.<\/a><\/p>\n\n\n\n

Ethics and effectiveness can be operationalized<\/strong><\/p>\n\n\n\n

Two distinct operating models for people analytics are described in Richard Rosenow\u2019s blog article \u201cPeople Analytics: Platform Operating Model\u201d<\/a>:<\/p>\n\n\n\n

1. A Service Model born from analytics experts responding to in-house requests to improve processes,<\/p>\n\n\n\n

2. A Platform Model born from the adoption of data collection and analysis tools (e.g., Workday, Prism).<\/p>\n\n\n\n

\"\"
https:\/\/medium.com\/@richardrosenow\/people-analytics-platform-operating-model-57fecb0e7ea2<\/a><\/figcaption><\/figure>\n\n\n\n

In the Service Model, Reporting and Research functions address data analysis and Partnership refers to \u201cclient-based decision support.\u201d<\/p>\n\n\n\n

In the Platform Model, people analytics processes separate into \u201cplatform data science\u201d and \u201cspecialty research.\u201d In Specialty Research, unique challenges are addressed while \u201cplatform data science” (Platform, Training, etc.) facilitates more automated, routine data analysis.<\/p>\n\n\n\n

Going back to the LinkedIn report, we know that companies are struggling with decision support and implementation. From class, we know that even the most well-intentioned data collection can lose employee trust if there is no subsequent action.<\/p>\n\n\n\n

Including Partnership as a standard function in the Service Model helps establish best practices \u2013 one that addresses both flaws: 1. New people analytics teams are reminded to allocate resources towards decision-support, increasing effectiveness, 2. Data collected is more likely to deliver impact, increasing meaning to employees and building trust.<\/p>\n\n\n\n

The real privacy threat is purposeless data collection<\/strong><\/p>\n\n\n\n

What worries me is whether the Platform Model will become the dominating trend for future people analytics teams.<\/p>\n\n\n\n

Rosenow states that both models are based on naturally occurring functions observed in growing analytics teams, with the Platform Model being a relatively newer phenomenon.<\/p>\n\n\n\n

Currently, the Platform Model has no analogous role to the Partnership function. Instead of aiming to help teams maximize data impact team-by-team, the Solutions function is a pooled \u201ctechnical support\u201d team whose end goal is to help groups become self-sufficient.<\/p>\n\n\n\n

This places the burden of meaningful impact on the platform itself. If the platform design is inappropriate, the company wastes resources (at best) and at worst, unintentionally becomes the big brother that tracks constituents for the sole purpose of watching.<\/p>\n\n\n\n

By including Partnership-like infrastructure into operating model discussions, we can bake best practices into the <\/strong>People Analytics recipe, ensuring success<\/strong>.<\/strong><\/p>\n\n\n\n

Sources:<\/p>\n\n\n\n

Rosenow, Richard. 2020. \u201cPeople Analytics: Platform Operating Model – Richard Rosenow – Medium.\u201d Medium. Medium. March 31, 2020. https:\/\/medium.com\/@richardrosenow\/people-analytics-platform-operating-model-57fecb0e7ea2.<\/p>\n","protected":false},"excerpt":{"rendered":"

Introducing operating models into the debate around people analytics allows us to discuss infrastructure necessary to set up ethical and effective practices.<\/p>\n","protected":false},"author":19233,"featured_media":834,"comment_status":"open","ping_status":"closed","template":"","categories":[427,501,431,440],"class_list":["post-785","hck-submission","type-hck-submission","status-publish","has-post-thumbnail","hentry","category-data-analytics","category-operating-model","category-people-analytics","category-privacy"],"connected_submission_link":"https:\/\/d3.harvard.edu\/platform-peopleanalytics\/assignment\/lpa-2022-blog-assignment\/","yoast_head":"\nUsing operating models to bake Ethics into the People Analytics recipe - Leading with People Analytics<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/d3.harvard.edu\/platform-peopleanalytics\/submission\/using-operating-models-to-bake-ethics-into-the-people-analytics-recipe\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Using operating models to bake Ethics into the People Analytics recipe - 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