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From data to decisions

Harnessing powerful people analytics

Data is a powerful currency. In recent years, many organisations have shifted their mindsets, now recognising data as one of their most valuable assets, along with their employees. It therefore isn’t surprising that the combination of those two assets has led to a growing demand for people analytics which, when used effectively, can provide organisations with a significant competitive advantage.

Historically, the rise of HRIS platforms has brought us closer to accessing the people data we need. However, many organisations still face challenges in accessing real-time data due to disparate departments, lack of data lakes and the reliance on accurate data entry.

According to a blog by Darwinboxon the future of people analytics, they describe 2020-2025 as ‘The Age of Value’, focusing on increasing ROI from people analytics. Moving ahead to 2025-2030s, they predict ‘The Age of Excellence’, where the potential of people analytics will be unlocked. This is the age in which HR and other communities will reap the benefits of data-literacy.

This new unlocking of potential from people analytics also highlights the importance of focusing on the right people data. As Forbes2 describes, “Every investment in data must solve a business problem.” This is certainly true for people analytics. People data should enable us to make smarter decisions. Many of these decisions can be critical and extremely costly if we get it wrong, with a poor leadership hire being an often-used but highly relevant example. Speaking to HR experts, a challenge that has repeatedly come up in conversation is data overload. With so much more data becoming available, a common trap is providing too much information, making it hard to identify the key messages needed to aid effective decision-making.

At Saville Assessment, we remain focused on not only solving real business problems but also enhancing experiences.

To avoid the risk of data overload, one of our core design principles is data efficiency. We are focused on providing our users with the most relevant data points, empowering them to make smarter decisions quickly and confidently.

Our next-generation platform Wave Connect will provide carefully crafted dashboard outputs with data analytics that are most relevant to specific role levels. This relevance is shaped by a combination of listening to common questions about talent identification and our research on the optimal data points that drive objective decision-making.  

A common risk is overly focusing on one question, often stemming from a previous bad experience. For example, one leadership hire went wrong because they failed to effectively communicate their vision and strategy. Now fast forward to replacement hiring and the decision makers might become fixated solely on the candidates’ communication styles, ignoring other key data points.  

Consequently, we have designed our data points to provide summarised decision-making outputs as well as detailed breakdowns that matter, encouraging you to ask the right questions:

How do we identify the right talent for the right role?

Where do they demonstrate the strongest potential and where are the gaps?

Where do they demonstrate the strongest potential and where are the gaps?

How do they tend to work with others?

How can we use this understanding to support them in their role?

For leadership roles more specifically:

What impact will this leader likely have and where?

What behaviours could create risk on the people, organisation and culture if not managed well?

Focusing on the right questions will lead to the right outcomes and help reduce the potential for bias created by stereotyping if you solely hone in on one aspect of an individual’s personality.  

Our new era of unlocking the potential of people analytics involves distilling our science to provide optimised outputs that can be easily interpreted.

Top priorities beyond hiring

While we have mainly focused on considerations for hiring and talent identification, many organisations are now turning their attention to developing internal talent due to market instability. According to CIPD’s research, while recruitment remains important, the main people priorities for organisations globally are developing in-house talent, workforce planning and maximising performance4. We see predictive assessment data playing a pivotal role in supporting these top priority areas by enhancing our understanding of individual skills potential. ‘Skills potential’ we define as a critical combination of underlying talent and motivation that enables an individual to acquire and develop a skill/skillset.

Breaking down the data silos reveals an increasing need to leverage data captured through the hiring process for employee development. Such insights are critical for transitioning into the next data era: The Age of Excellence in People Analytics. By gaining a deeper, more precise understanding of potential, we can optimise specific skills development journeys and provide meaningful recommendations.

Helping employees understand more about themselves fosters a culture of reflection, feedback and improved communication and working relationships across the organisation.

To truly advance us to the new era of people analytics, assessment data must integrate into a systemic HR model, feeding into a unified data lake where the power of people potential can be realised throughout the employee experience.


AUTHOR:

Olivia Black 
Associate Director – Saville Assessment

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