| Level 1: Initial |
0 - 60 |
At this stage, the company is in the early stages of data adoption. Data processes are likely ad-hoc, and there is minimal use of advanced technology tools. Digital adoption is low, and data is not yet leveraged for decision-making. |
| Level 2: Emerging |
61 - 120 |
The company is beginning to implement more structured data practices. Basic technology tools are in place, and there is a growing awareness of the importance of data. However, there is still significant room for improvement in digital adoption and data utilization. |
| Level 3: Developing |
121 - 180 |
The company has established some data practices and is using intermediate technology tools. Data is being used more consistently in decision-making processes, and digital adoption is at a moderate level. However, data practices may still be siloed, and integration is limited. |
| Level 4: Advanced |
181 - 240 |
The company has mature data practices and is using advanced technology tools. There is a high level of digital adoption, and data is integrated across the organization. Data is a key asset in decision-making, and there is a culture of continuous improvement in data management. |
| Level 5: Optimized |
241 - 300 |
The company has fully optimized data practices, with advanced technology tools and high digital adoption. Data is deeply embedded in all aspects of the business, driving strategic decisions and innovation. The organization is data-driven, with a strong focus on analytics, automation, and continuous improvement. |