[ESSEC Knowledge] by Jeroen Rombouts - Professor at ESSEC Business School where he holds the Accenture Strategic Business Analytics chair.
Abstract
This article highlights the increasing importance of data and predictive analytics in traditional industries that seek to emulate the success of tech giants. The adoption of a predictive mindset, driven by data, has become crucial for informed decision-making and the development of a competitive edge.
Key points include:
- Transition to Data-Informed Decision-Making: Traditional companies have invested in data infrastructure and appointed chief data officers. The next crucial step is to become more data-informed, data-driven, and operationally excellent, leveraging data for forward-looking predictions.
- Predictive Paradigm: Adopting a predictive paradigm involves the use of data to make predictions, focusing on forward-looking key performance indicators (KPIs) to drive strategy and measure success. This approach enhances data-centricity across all levels of the organization.
- Data Challenges in Renewable Energy: Data analytics plays a critical role in the renewable energy sector, helping companies optimize site selection, enhance plant performance, and improve electricity sales. The intermittence of renewable energy sources necessitates data-driven solutions.
- Collaborative Partnership: The article discusses the partnership between Engie and ESSEC Business School, highlighting the importance of training young talents in data and analytics skills to support the transition to a green society.
- Impact on Job Market: The growth of renewable energy and digitalization will create new job opportunities requiring technical, data, and analytics skills. This shift is aligned with climate change agreements and will be a driving force for economic growth.
- Culture Shift: The article emphasizes that companies must undergo a fundamental cultural shift to embrace data and analytics. Attracting data-ready business graduates and finding a balance between technology and human experiences is vital in the post-COVID-19 era.
In summary, data and predictive analytics are integral to the transformation of traditional industries, fostering innovation, sustainability, and competitiveness. Adopting a predictive mindset and building a data-centric culture are essential for success in the evolving business landscape.
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