Data Maturity Assessment
We’ve developed a standardized framework that can be tailored to virtually any organization. The audit can be part of a broader business strategy or a standalone assessment independent of ongoing data modernization initiatives. Specifically, we benchmark the audit results against implementing GenAI use cases for your business.
Our objective
A data maturity audit is the first step in shaping your data strategy. It provides a clear, objective view of your organization’s ability to manage and leverage data effectively. By evaluating key areas like data quality, governance, infrastructure, and analytics, it reveals strengths, gaps, and opportunities for improvement.
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Our assessment is also focused on understanding what is possible for your organisation in terms of AI deployment
More than just a tool, our expertise in digital transformation ensures a tailored approach—considering your unique context to deliver actionable insights and guide your next steps.
1
Understand your context
We assess your unique context and data maturity to provide relevant recommendations. Through interviews, workshops, and document reviews, we analyze workflows, systems, and the impact of data on your business model.
2
Identify Gaps and Strengths
We highlight areas where the organization excels and where gaps exist. We map these findings to specific challenges or risks, depending on your industry (e.g., inefficiencies, compliance risks, underutilized data). In particular, we assess what this implies regarding the implementation of AI use-cases.
3
Deliver Recommendations
Principles Analytics provides a comprehensive set of deliverables to support your next steps, including a maturity report, concrete recommendations, a target architecture with an implementation roadmap, a GenAI use case matrix, and a tailored GenAI use case deployment scenario if appropriate.