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Data Literacy

Data Literacy: A How-to Guide for Leaders

September 2022

Ihre Präsentator(en)

Cindi Howson

Chief Data & AI Strategy Officer at ThoughtSpot and host of The Data Chief podcast.

Cindi Howson is the Chief Data & AI Strategy Officer at ThoughtSpot and host of The Data Chief podcast.

Cindi is an analytics and BI thought leader and expert with a flair for bridging business needs with technology. As Chief Data Strategy Officer at ThoughtSpot, she advises top clients on data strategy and best practices to become data-driven, speaks internationally on top trends such as AI ethics, and influences ThoughtSpot’s product strategy.

Cindi was previously a Gartner research Vice President, as the lead author for the data and analytics maturity model and analytics and BI Magic Quadrant, and a popular keynote speaker. She introduced new research in data and AI for good, NLP/BI Search, and augmented analytics and brought both the BI bake offs and innovation panels to Gartner globally. She’s frequently quoted in MIT,Harvard Business Review, Information Week and is rated a top 12 influencer in big data and analytics by Analytics Insight, Onalytca, Solutions Review, and Humans of Data.

In 2022, CDO Magazine named her a Leading Data Consultant, and Global Data Power Woman. In 2021 she was named data leader of the year by Women in Data and as a finalist for motivator of the year by Women Leaders in Data and AI.

Prior to joining Gartner, she was founder of BI Scorecard, a resource for in-depth product reviews based on exclusive hands-on testing, contributor to Information Week, and the author of several books including: Successful Business Intelligence: Unlock the Value of BI & Big Data, Analytics Interpreted, and SAP BusinessObjects BI 4.0: The Complete Reference.

She served as The Data Warehousing Institute (TDWI) faculty member for more than a decade. She serves on the board for Drexel University’s LeBow Business Analytics program and is a volunteer for Girls Plus Data, Women in Data, and the Mark Cuban Foundation, AI bootcamps.

Prior to founding BI Scorecard, Howson was a manager at Deloitte & Touche and a global BI standards leader for Dow Chemical. She has an MBA from Rice University.

Summary

Data literacy is becoming an essential skill that organizations need to excel in the data-driven era. Despite only 26% of organizations considering themselves data-driven, the absence of data culture and literacy is viewed as a significant roadblock. The session featured Cindy Housen, Chief Data Strategy Officer at ThoughtSpot, who gave her insights on implementing data literacy within organizations. She stressed the need for a clear understanding of data literacy, defined as the ability to read, write, and converse with data in a business setting. The discussion covered the need for acceptance from all tiers of an organization, the role of gamification in learning, the importance of communication in data literacy programs, and how customization and evaluations can enhance these initiatives. Cindy provided real-world instances and shared strategies to overcome resistance to data literacy initiatives, underlining the need for a cultural shift towards curiosity and trust in data.

Key Takeaways:

Data literacy is vital for organizations to stay competitive in a data-driven world.
Only a small fraction of organizations are truly data-driven, often due to a lack of data culture.
Data literacy should be viewed as a spectrum, ranging from basic skills to data fluency.
Acceptance from leadership and across the organization is vital for successful data literacy programs.
Gamification and customized learning can enhance data literacy initiatives.

Deep Dives

Understanding Data Literacy and Its Importance

Data literacy is increasingly seen as vital for both individuals and organizations to succeed in a data-driven world. According to Cindy Housen, data literacy is not only about understanding data but also about being capable to use it effectively. This involves a range of skills from basic data understanding to more advanced data fluency, letting individuals ask intelligent questions and derive insights. Cindy emphasized the importance of data literacy as a foundational skill, much like traditional literacy, that enables individuals to thrive in a digital economy. She brought attention to a survey from New Vantage Partners, which found that while many organizations are investing in data science, only a quarter view themselves as data-driven, with the majority citing the absence of data culture as a barrier. This highlights the urgent need for organizations to prioritize data literacy as a key component of their strategic plans.

Implementing Data Literacy Programs

Cindy Housen outlined practical strategies for implementing data literacy within organizations, stressing the importance of starting with a clear definition of data literacy and understanding its role in business operations. She advocated for a structured approach that includes defining common business language, offering short learning opportunities, and employing gamification to engage learners. Cindy shared examples of successful initiatives, such as Levi Strauss's AI bootcamp and the use of gamification techniques by companies like Stitch Fix and Verizon. These strategies help to explain data and make it accessible to all employees, leading to a culture of data-driven decision-making. Cindy stressed the importance of aligning incentives with data literacy goals and creating communities of practice that support continuous learning and improvement.

Improving Organizational Data Culture

Resistance to data literacy initiatives can be a significant challenge for organizations. Cindy Housen discussed various tactics to overcome this resistance, highlighting the need for effective communication and leadership support. She emphasized the importance of addressing the "what's in it for me" question for employees, demonstrating how data literacy can enhance their work and career prospects. Cindy also highlighted the role of leadership in setting a positive, aspirational tone for data literacy initiatives, and the need to align incentives to encourage participation and engagement. By creating a supportive environment and showcasing the benefits of data literacy, organizations can build momentum and drive cultural change towards a more data-driven organization.

Role-Specific Training in Data Literacy Programs

Customization and evaluation play a vital role in data literacy programs. Cindy Housen stressed the importance of customizing learning to the specific needs and roles of employees, ensuring that each individual receives the appropriate level of training and support. She discussed the value of conducting evaluations to establish a baseline of data literacy skills within the organization and to track progress over time. This approach allows organizations to identify gaps in knowledge and provide targeted interventions to address them. Cindy also highlighted the importance of setting measurable goals for data literacy programs, using both leading and lagging indicators to evaluate their effectiveness. By adopting a customized and data-driven approach to data literacy, organizations can enhance their ability to leverage data for competitive advantage.