Data governance maturity assessment (online)
Prioritised and targeted recommendations for improvement of data management
The data governance maturity assessment service involves data governance online surveys (generated based on our 30+ years of experience in data, analytics and governance) being emailed to key staff to feedback on how effectively they think your organisation is managing its data.
Data governance experts from Fujitsu Data & AI then review the results and provide targeted improvement recommendations in a half-day workshop where your summary results will be provided, compared against Australian benchmark data, and next step recommendations discussed.
How does the data governance maturity assessment (online) work?
The data governance maturity assessment (online) works by using an online survey solution, which is then assessed by our Fujitsu Data & AI consultants to provide an independent assessment of the current state of your data governance, identify where you should be and then provide a roadmap of prioritised, budgeted projects to help you close the gaps between today and tomorrow, and your competitors.
How much does the data governance maturity assessment (online) cost?
There are three pricing levels:
1. The first survey is either AUD $10,000 or NZD $10,000 depending on which country your headquarters are located in
2. Ad hoc repeated surveys are $7,500 per time after the first survey
3. If you are planning a regular recurring cycle of surveys, talk to a Fujitsu Data and AI specialist about customised pricing
What will i receive at the end of the data governance maturity assessment (online)?
Concluding the assessment process, a Fujitsu Data & AI Data Governance Specialist will present the data governance maturity assessment results and roadmap report
Why measure how effective your data governance is?
Effective data governance is critical to successful modern organisations. There are a range of different drivers moving organisations towards Data Governance, including: Add after including "digital transformation, transitioning to being a data-driven organization, managing regulatory compliance requirements and ensuring data privacy.
