PEOPLE ANALYTICS
itself needs to become data literate if it is to assist others in this process. Changing the environment so that systems and workspaces encourage data sharing and discussion will help to embed the new data- driven culture. In addition, key performance indicators linked to data usage can help to reinforce the culture. People analytics data can enhance
business success in a variety of ways; for example, in driving forward improved knowledge sharing, workforce planning and improving employee engagement.
LEARNING AND DEVELOPMENT The development of a smart data-driven learning and development platform can assist businesses to improve knowledge capability. By recording how, when and where learners access learning materials – and the information they find most useful – learning and development interventions can be better tailored to the needs of the business and the users of the learning materials who are required to deliver business objectives. Business questions linked to
organisational strategy can be identified through data capture and then these questions addressed via the development and posting online of the most relevant sources of knowledge. Analysis of usage data can show which sources of knowledge are most used/helpful. The curation of learning and development materials can then be tailored to ensure the most appropriate catalogue of relevant topics are easily accessible to staff.
DIVERSITY AND INCLUSION A further example concerns the use of people analytics data to make meaningful change around diversity and inclusion. Understanding and appropriate storytelling of data can be used to make links between numbers (such as headcounts) and projecting forward as to what a workforce profile will look like in the future. By analysing the data evidence of a
current workforce profile and recruitment and selection metrics, strategies can be devised and enacted to hire, promote and retain a more diverse workforce. In this way, people analytics dashboard data is brought to life with strategic actions taken to create a dynamic workforce profile. Hence, the connection of data to business outcomes helps build momentum for change.
WORKFORCE PLANNING Data analytics can also be used for workforce planning to ensure the right people with the right skills are in place at the right time and cost. Using people data analytics can assist in identifying and recording the skills currently held in a business and matching them to skills required in future operations. Data must be accurate and high quality to ensure that in redeployment exercises, people are treated objectively and fairly. Using data analytics to identify people
and their appropriate future job roles is, of course, unlikely to lead to a 100 per cent match between current skills and future capability requirements. Nonetheless, it can help to identify the main skills available and slot people into potential roles. It can also identify gaps and training needs. A factor that also needs to be considered is location – a people-job match may involve relocation and that may not always be the best solution for the individual or the business.
EMPLOYEE EXPERIENCE Organisations wishing to measure and improve their employee experience can also make use of people analytics data to aid this process. Data from engagement surveys and exit interviews, for example, can be used to assess employee values and how these align with organisational values and priorities. If an organisation plans a culture-change journey, data analytics can be used to map out where the current priorities lie and how these will need to change to reach the desired endpoint. Line managers are key to cultural change
and so they need to understand the data and the steps needed to move to a new cultural environment. Regular pulse checks on how employees feel about the change process can generate data, which can be used to consolidate wins as the journey progresses and address problems through change champions.
TOP TIPS One of the key messages of the CIPD conference was not to rely on ‘shiny’ charts and graphs. Data comes to life through storytelling, with the creation of a narrative around the aims and objectives of organisational change. Data champions – people who understand data and enjoy communicating its messages – at all levels in organisations are crucial to embedding a data-driven culture. The importance of starting small and growing a people analytics culture was also stressed. To assist HR practitioners in their
data journey, ISO standards are being developed (ISO 30414) with principles being articulated that capture emerging excellent practice in context. The new book Human Capital Management Standards: A Complete Guide by CIPD staff Wilson Wong, Valerie Anderson and Heather Bond (published in 2019 by Kogan Page) should also prove helpful. Finally, the CIPD reminds us that
it is always important to maintain a responsible and ethical approach to data collection, analysis and dissemination. Working within legislative guidelines, the message is to only collect data that you need and be sure to think about its limitations when using it to drive change forward.
For more information on critical interpretation of data for improved decision-making and evidence-based practice, visit
bit.ly/evidence-based-practice
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