According to a new study by Capgemini Invent, organizations that implement data-driven change management are more successful in their change processes than those that don’t. The study found that organizations with a high level of data maturity, data-driven leadership, and a data-driven culture experience a 27%, 23%, and 26% increase in change success respectively. Additionally, organizations that base change management decisions on data benefit from greater transparency, more opportunities for participation and a better sense of control among employees.
The study surveyed 1,175 professionals and managers from various industries worldwide, and found that the volume of data is constantly increasing, and its importance is also increasing. In 2022, 97 zettabytes of data were generated, and 61% of those surveyed in the Capgemini Invent report said they rely on comprehensive data analysis when making decisions. By using data, objective KPIs can be set to measure the progress and success in a change process, where transformation was previously driven only by visions of change along with the goals and actions derived from them.
“Organizations that invest in data-driven change management have seen a positive impact on several key elements of the change process. However, the challenge with data-driven change management is to use data intelligently. To do this, leaders need a clear data strategy, confidence in using data across the organization, a state-of-the-art data landscape, and the ability to make data-driven decisions in order to take the most effective actions,” says Claudia Crummenerl, Head of Workforce and Organization, Enterprise Transformation at Capgemini Invent. “It is important that executives act as role models on the topic of data use and openly communicate the associated benefits within their organization, as well as promote data-based working to ultimately strengthen employees’ trust in change projects. Our research finds that when teams are informed about the goal and what to expect from the change process itself, it ultimately leads to greater success.”
The potential of data-driven change management is yet to be fully realized
The report finds that there are numerous benefits to establishing data-driven change management in organizations. Amongst the motivations cited, 44 percent of respondents want to use data to speed up decision-making, 42 percent of respondents want to create more transparency, and 38 percent expect to be able to better measure employee satisfaction through greater use of data.
Data-driven leadership and transparency influence change success and trust in the process
A key foundation for change success lies in data-driven leadership. The report finds that leaders who explain the benefits of data use and lead by example can increase the likelihood of change success by 23 percent and have been shown to increase employees’ willingness to work in a data-driven manner. 74 percent of respondents perceive a high level of trust between leaders and employees in organizations through data-driven leadership. In addition, a high level of data maturity, i.e., the ability of an organization to use its data meaningfully, has been found to increase the success of change by 27 percent.
According to the study, being transparent about the data being used strengthens employees’ trust in the change process and helps them to feel informed, with 86 percent of respondents saying their leadership carefully communicates the progress of change. For respondents where big data analytics is part of their day-to-day work, 85 percent said they feel confident about their career prospects, and 40 percent of organizations reported a successful change process where employees feel they are in control of their careers.
Telecommunications, automotive and financial services lead the way in industry comparison
According to the study, there are also industry-specific differences in the way data is handled. For organizations that compete globally, both a high degree of digitization and a willingness to embrace continuous change are essential. In a sector comparison, therefore, telecommunications, automotive banking and insurance score best.
View the full report here.