Why People Analytics Projects Fail to Deliver Value

According to McKinsey, while 70 percent of company executives now cite people analytics as a top priority; most organizations are still in the early stages of building out their People Analytics capabilities, and spending most of their time cleaning data and streamlining reporting.

How can People Analytics teams make the transition from being seen as a reporting center to fully realizing their potential as a strategic partner to the business and a key enabler for an organization’s data-driven HR transformation?

Building the right people data foundations, understanding the business requirements and what they actually need, choosing and integrating the right datasets, applying the right statistical approach and visualizing data in an easy to understand manner, change management to enable the wider organization to understand how to translate people data and insights into action … there are a lot of different steps involved in ensuring a successful People Analytics transformation, each with its own set of challenges.

This Panalyt webinar is a panel discussion with a stellar group of People Analytics leaders who have previously been involved in People Analytics initiatives at leading organizations such as Uber, McDonalds, Coca-Cola FEMSA, Sanofi, Flipkart, and Swiggy in projects that span all levels of maturity, from getting the basics right, to setting up advanced and predictive analytics, to enabling HRBPs as strategic partners to the business.

While there is no definite recipe for success, we will be asking our panel about their learnings from both successful and failed projects; and what HR leaders and People Analytics teams can do to embed people data and insights at the heart of an organization’s people-decision making at scale.

Panalyt CEO Daniel West, PeopleOPTI CEO Federico Barcos von der Heide, Dlogix CEO Divya Anand and Greg Newman, Director -People Analytics at Deloitte Australia, discuss how to set up your People Analytics initiatives for success:

– Key differences between successful and unsuccessful People Analytics projects
– Examples of unsuccessful People Analytics projects & learnings from why they failed
– Examples of successful People Analytics projects that delivered business value and key drivers for success