Financial Services organizations are increasingly looking to use data as the basis of their innovation efforts, to drive their GenAI investments, and to generate actionable insights for their customers. Leaders understand the criticality of their data platforms but do not always have a clear view of their current state, how it stacks up against industry best practices, and how to continuously improve their tools, processes, people and architecture to achieve their goals.

Over time, challenges compound the longer a data platform is in operation and the more it is embedded and critical to the organization. Increasing consumption of subscription, SaaS, and third-party support models further reduce control and visibility.

Lab49's structured data maturity assessment enables detailed, step-by-step analysis and quantitative scoring of your data practices, platforms and processes to diagnose areas for improvements, measure criticality, and shine a bright light into all areas of your data estate. The comprehensive and technical nature of this assessment identifies actionable recommendations that reduce risk and help financial services organizations move up the data maturity curve.

The data maturity assessment compiles information about your organization's existing data practices and tools. We collect insights and details through surveys, interviews with key stakeholders, and examination of your current systems. We analyze this information, cross-validate it against industry best practices and produce key insights on your current data maturity state. A high-level roadmap is then produced that gives you a clear path and associated metrics to enhancing the data maturity in your organization. Our improvement rrecommendations are enabled through our proprietary data maturity a framework, informed by subject matter experts, automated through evidence-based and data-led processes, and enable a continuous improvement feedback loop.

What You Will Gain from the Data Maturity Assessment:

• A clear look into your organization’s strengths and weaknesses across your data estate
• A detailed look into your AWS environment, architecture, and best practices for your data estate, including but not limited to your investmentso in services such as RDS, Redshift, Athena, Glue and DataZone
• An independent, data-driven validation of your current processes, tools and platforms against industry best practices
• A prioritized set of activities that help you manage your organization’s risks through better data governance, quality, security, and reliability
• Creation of a culture of continuous improvement across your data estate
• Fully documented presentation and detailed write-up of all assessment findings
• An online, up-to-date visual view into your organization’s data strengths and weaknesses
• A comprehensive view of your current AWS data estate and recommendations to fully align with AWS best practices