The CRITERIA to evaluate Big Data Maturity MODEL can be stated as follows:

1. Model structure completeness
2. The quality of development and evaluation of the model
3. Ease of use
4. Value creation

By model structure completeness we mean the completeness of the model in all respect taking into consideration the Big Data needs of the organization. The model should also exhibit consistency across all levels. The second criterion evaluates the model in terms of quality of development and evaluation. The model should exhibit trustworthiness. It should also be stable. In the third criterion, we see the ease of use of the model. The model should be easily applicable to the situations under consideration. It should also be comprehensible.

The fourth criterion state the value creation of the model concerning Big Data. We evaluate whether the model BRINGS any value addition to the enterprise as far as Big Data initiatives are concerned. We also see how close the model to reality is. We also evaluate its relevance and performance.

We evaluate these Big Data Maturity model taking into consideration the various aspects of the business. These aspects can be stated as follows:

1. Business Strategy
2. Information
3. Analytics
4. Organizational CULTURE and Execution
5. Architecture
6. Governance