In today's discussion, DS44 delved into Simon Sinek's influential concept, the "Golden Circle." This framework helps explain why some organisations and leaders manage to inspire and achieve more effective outcomes than others. It's structured into three layers—Why, How, and What—that guide a company's approach to actions and communication. How does this apply to The Information Lab and The Data School?
Exploring the Golden Circle Framework
- Why: This is the core belief of why the organisation exists beyond just making money. It’s about purpose and the drive to act.
- How: These are the processes or unique selling propositions that explain how the goals related to 'Why' are achieved.
- What: This outer circle defines the actual activities or services the organization provides.
Simon Sinek points out that many companies operate from the outside in, starting with 'What' and rarely getting to 'Why'. However, inspirational leaders and organisations operate from the inside out, beginning with 'Why' and expanding outward, which is more compelling because people are drawn to why you do something rather than what you do. This leads onto what The Information Lab really is.
What We Do:
- Consulting: Delivering data-driven solutions across various sectors.
- Licenses: Distributing tools like Snowflake, Tableau, and Alteryx.
- Support: Offering troubleshooting and technical help.
- Training and Enablement: Educating new cohorts on best practices in data analytics.
- Community Building: Engaging through forums, blogs, user groups, and events.
How We Do It:
- Training and Consulting: The Information Lab enhances expertise in analytics and data visualisation by educating consultants to be experts in these areas.
- Client Projects and Collaborations: Working on projects and client tasks to apply practical knowledge.
- License Selling and Support: Facilitating access to essential analytics tools.
- Event Organisation: Creating spaces for learning and sharing through events that promote best data practices.
Why We Do It:
- Empowerment through Data: Empower decision-making with robust, clear data insights.
- Innovation and Creativity: Driving forward new ideas and creative solutions in the data space.
- Skill Development: Fostering growth through continuous learning and practical application.
- Community Engagement: Building a supportive network of data enthusiasts and professionals.
