Initially, it involves data collection and setting up capabilities around it. The next step is to visualize the data, generate reports, and disseminate information. Depending on the data's importance, governance or the application of ML (machine learning) and AI (artificial intelligence) may be required. Each step in the process requires both technical abilities and the organization's ability to understand and monetize the data.

Data can significantly impact the bottom or top line of the organization. It is crucial to set goals, measure the success of those goals, and identify the difficulty/risk of achieving them vs. the rewards. However, achieving data monetization requires buy-in at various levels, and organizations need to integrate these changes into their processes and procedures for success.

Ovis can help organizations integrate these changes and provide guidance on data monetization. We understand that success is not just about technical expertise, but it also requires a holistic approach to ensure buy-in and integration of changes into the organization's processes and procedures.