Assessments

Organizational Data Literacy Maturity Assessment

This assessment will assess your organization’s data literacy maturity. It is 16 questions organized into 5 dimensions: organizational culture and strategy, organizational processes, data and analytics, tools and technology, and knowledge and learning programs.

Individual Data Literacy Assessment

This a quick way to assess your foundational data literacy skills and mindsets, regardless of what role you play with data. This individual assessment is 22 questions organized into 6 dimensions: understand data, interpret business requirements, create and interpret visualizations, apply the human element of data literacy, communicate with data, and mindsets.

Seven Thinking Styles Assessment

This assessment will help you understand which thinking styles you naturally use and which ones you may want to develop further. The results will provide insights into your strengths and areas for improvement in decision-making.

Data Literacy Training Program Effectiveness Assessment

This assessment is designed to evaluate the effectiveness of your organization’s data literacy training program in driving measurable skills, fostering data-informed decision-making, and aligning with business needs.

AI Use Scorecard

This assessment evaluates how effectively you're using, interpreting, and reflecting on AI outputs. It helps you build stronger habits for responsible, strategic AI use.

Organizational Analytics Capabilities & Readiness Assessment

This assessment offers organizations a structured tool to gauge their current analytics maturity and readiness. By evaluating key areas like data integrity, technical proficiency, governance, and strategic alignment, it provides insights into the most suitable analytics structure—centralized, balanced, or decentralized.

Organizational Data Dexterity Maturity Assessment

Discover where your organization stands on the journey to data mastery. Our Data Dexterity Maturity Assessment is designed to help you evaluate your organization's proficiency in handling and leveraging data across five key stages: Data Literacy, Data Proficiency, Data Expertise, Data Agility, and Data Dexterity.

Organizational Data Culture Maturity Assessment

This assessment is designed to evaluate an organization’s progress in developing a robust data-driven culture. It encompasses key dimensions such as data accessibility, data literacy, data-driven decision-making, collaboration, and innovation. Organizations can determine their maturity level across three stages: Emerging, Developing, and Advanced. Each stage provides insights into the current state of the organization’s data practices, identifying specific areas for improvement.

Individual AI Skills Proficiency and Development Assessment

This assessment is designed to help individuals reflect on their expertise and identify areas for growth in the context of AI and data science. It covers key areas such as technical proficiency, data literacy, problem-solving abilities, business acumen, and more. This assessment will provide insights into your current capabilities and highlight opportunities where you can expand your knowledge and skills.

Organizational Decision-Making Assessment

This assessment tool is designed to help organizations evaluate the maturity of their decision-making practices in today’s complex and data-rich environment. It covers dimensions like data usage, analytical capability, agility, collaboration, and ethical considerations, helping you gain insights into your organization’s current strengths and pinpoint areas for improvement. The results offer a clear maturity level, from Ad-Hoc to Advanced Integrated Decision-Making, with targeted recommendations to help your team make faster, smarter, and more effective decisions.

AI Organizational Readiness Assessment

This assessment will evaluate an organization's preparedness for integrating artificial intelligence into its operations. It covers key areas such as digital capabilities, data management, security, talent, strategy, and more. This assessment will help organizations align their AI initiatives with business objectives, ensuring they are well-equipped to leverage AI for innovation and competitive advantage. The results can identify strengths, gaps, and areas for improvement, paving the way for strategic planning and successful AI adoption.

Information Processing Style Assessment

This assessment helps you understand how you process new information, make decisions, and adapt to different viewpoints. It will give you insights into your cognitive approach to decision-making including tendencies in evaluating new data, seeking alternative perspectives, and responding to challenges.

Data Blindness Self-Assessment

This assessment evaluates how effectively your organization uses data for decision-making. It helps identify over-reliance on dashboards, the quality of questions being asked, the impact of data on decision-making, and the ability to generate actionable insights. It helps you pinpoint areas where data may not be driving meaningful action and provides opportunities to improve data literacy and strategic use of analytics.

Data Citizen Self-Assessment

This assessment is designed to help you gauge your current level of confidence and familiarity with key concepts and skills related to being an effective data citizen in today's data-rich world. This self-assessment will provide you with a starting point to understand your strengths and identify areas where you may need to focus your learning. The assessment covers a wide range of topics, from basic data concepts to more advanced applications and ethical considerations.

The Question Engineering Self-Assessment

This self-assessment will help you discover your natural questioning style by presenting real-world business scenarios. Your responses will reveal how you instinctively approach decision-making, allowing you to refine your ability to ask more effective, high-impact questions.

The Executive Scorecard for Modeling Data Culture

This assessment helps executives reflect on the behaviors, rituals, and cultural cues they model that shape their organization's data culture.