The first pillar of our data maturity survey focuses on Strategy and Sponsorship. It gauges whether your organization has an established vision and support at the senior leadership level for analytics to have a strategic impact.

North Star and Vision
An organization’s North Star and Vision play a crucial role in defining the future of its data analytics capabilities. This subsection explores whether your organization has identified its guiding light and overarching goal in the realm of data analytics.

Data Strategy
Your Data Strategy forms the roadmap that your organization follows towards achieving its data vision. Here, we delve into how you plan to acquire, manage, use, and secure data in the long run.

Public Commitment
Public Commitment is an indicator of the priority an organization gives to its data analytics initiatives. It reflects the assurances made by your leadership about investing in and nurturing data analytics.

Track Record
Track Record offers insights into your organization’s past performance in implementing and benefiting from data analytics initiatives. It provides a glimpse of the successes and lessons learned in the data journey thus far.

The second pillar, Data Management, scrutinizes how formally your organization manages its data assets to maintain quality and enable effective use of analytics.

Organization
The Organization sub-component studies how your organization is structured to oversee data management. It evaluates the roles, responsibilities, and hierarchies in place to govern data use and security.

Process and Governance
Process and Governance ensure that your data assets are well-managed and used correctly and responsibly. This subsection delves into the rules, procedures, and controls established in your organization to govern data management.

Data Retention
Data Retention explores how your organization decides what data to retain, for how long, and under what conditions. It delves into the strategies you have in place for data archiving, disposal, and lifecycle management.

Data Quality
Data Quality underscores the accuracy, consistency, and reliability of your data. This sub-component evaluates the standards and procedures your organization employs to maintain high-quality data.

The third pillar, Technical Foundations, investigates whether your organization has a modern technology foundation underpinning its data assets and analytics capabilities.

Data Repositories
Data Repositories are the infrastructures where your organization’s data is stored and managed. This subsection focuses on the types of data repositories your organization uses, their robustness, and their suitability to your data needs.

Architecture
The Architecture sub-component delves into the design and structure of your data systems. It scrutinizes the interrelations between your data systems and the overall coherence of your data architecture.

Platforms
Platforms are the applications and tools your organization uses to process and analyze data. This subsection reviews the platforms you use, their appropriateness to your data goals, and their integration into your data infrastructure.

Data Catalogs
Data Catalogs are the organized inventories of your data assets. This sub-component looks into how your data is catalogued, its accessibility to users, and the ease of discovering and understanding data assets.

The fourth pillar, Talent and Skills, assesses whether your organization has the right set of skills and capabilities along with a suitable talent model for retention and growth.

Analytics Expertise
Analytics Expertise gauges the level of proficiency your team has in various data analytics tools and methodologies. This subsection assesses the technical prowess of your team and how it is used to derive valuable insights from data.

Resources’ Tenure
Resources’ Tenure looks at the stability and experience of your data team. It examines the longevity of your team members in their roles and how this affects your organization’s data capabilities.

Business Skills
Business Skills emphasize the knowledge your data team has about your industry and your business. This subsection focuses on your team’s ability to align data insights with business objectives and industry trends.

Learning Pathways
Learning Pathways assess the opportunities your organization provides for continual learning and skill improvement. It delves into the training programs, workshops, and courses available for your team to keep pace with evolving data trends.

The fifth and final pillar, Value Creation, probes if your organization effectively tracks value realized through analytics and how those gains are distributed in the value chain.

Value Tracking
Value Tracking delves into how your organization measures the benefits reaped from data analytics. This subsection investigates the metrics and indicators you use to quantify and track the value derived from data insights.

Funding Model
The Funding Model sub-component explores how your organization finances its data analytics initiatives. It assesses the models you employ to fund your data projects and how these models influence the value-creation process.

Financial Impact
Financial Impact examines the economic benefits that your data initiatives bring to your organization. This subsection scrutinizes the tangible and intangible financial impacts of your data projects.

Data Products
Data Products are the tangible outputs of your data initiatives. This sub-component studies the types of data products your organization creates, their usability, and their contribution to your overall value creation.