Data Maturity

Is Your Data Working for You?

Many organizations possess vast amounts of data, but only a few effectively leverage it to create value.

Understanding your position on the data maturity curve is the crucial first step towards unlocking the full potential of your data.

At Levi9, we assist you in assessing, benchmarking, and enhancing your data maturity. Through a structured approach, we identify your strengths, reveal any gaps, and guide you in developing a data-driven culture and infrastructure. This transformation will support smarter decision-making, foster innovation, and promote sustainable growth.

Low maturity = high risk

Inconsistent data practices, siloed systems, and unclear ownership stall digital initiatives and reduce trust in insights.

Higher maturity = higher ROI

Organizations with higher data maturity see better business outcomes, according to research by Harvard Business Review.

Our approach - Data Maturity Assessment consists of 5 key areas:

Strategy:

We examine the alignment between your business goals and your data strategy, where key questions are how data is used in decision-making processes, the impact you expect data initiatives to have, and the long-term vision for data within your organization.

Collection:

Our review of data collection focuses on the volume, velocity, veracity, variety, and validity of your data. In this process, we look at how data is gathered, the types of data available, and the processes you have in place for integrating and maintaining data quality. We also consider whether you have the necessary permissions to use external data and how your data collection process handles potential failures.

Storage:

Where and how data is stored, accessibility and scalability are some of the focus points. Since security is a major focus in this category, we evaluate compliance with regulations such as GDPR, HIPAA, and CCPA, as well as encryption practices and regular security audits.

Processing:

We assess to which level these processes are automated, their scalability, and how effectively bottlenecks or failures are managed. Additionally, we examine the high-level design of your data pipelines and whether there are continuous improvement processes in place for your data workflows.

Visualization:

The final category focuses on how well your organization transforms data into actionable insights. This is done by reviewing your reporting and dashboarding capabilities, the tools used for business intelligence, and the accessibility of these insights to decision-makers across the organization.