Let's talk about most effective ways to transform your management style and organization in general to be truly data-driven. There are multiple studies and insights from recognized industry leaders at the frontier of data and AI, highlighting the key factors that enable organizations to harness the power of these technologies.

Here are five insights based on interviews with executives from a range of industries, including healthcare, finance, and retail.

The first insight emphasizes the importance of having a clear understanding of the business problem that data and AI can solve. Leaders need to define the problem and identify the data sources that can be used to address it. This requires a deep understanding of the business context, as well as technical expertise.

The second insight focuses on the need to build a strong data foundation. This involves collecting, cleaning, and organizing data in a way that enables analysis and machine learning. Leaders need to invest in data infrastructure and governance to ensure that data is reliable and secure.

The third insight highlights the importance of developing a culture of experimentation. Leaders need to encourage their teams to test hypotheses and iterate quickly. This requires a willingness to take risks and learn from failures.

The fourth insight emphasizes the need to develop talent with both technical and business skills. Leaders need to hire and train individuals who can bridge the gap between data science and business strategy.

Finally, the fifth insight emphasizes the importance of collaboration across functions and organizations. Leaders need to break down silos and work together to share data, insights, and best practices.

We at dgtl.team are accumulating industry and business best practices in transformation and processes tuning and how data and AI can empower and simplify the changes.