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ENABLEMENT
USING DATA TO BE MORE EFFICIENT, EFFECTIVE, AND TRANSPARENT WHILE ENABLING A SIGNIFICANT CHANGE IN MINDSET, ADDING VALUE AND PROMOTING A DATA-DRIVEN COMMUNITY
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USER TYPES
On the journey to lead communities into becoming data-driven, several considerations have to be taken into account.
As a business, we must determine the needs and then the objective - 'what are we aiming to achieve?', 'which capabilities should we nurture?', 'do we wish to promote technical, non-technical capabilities? Or both?'.
On the user side, the consideration should be around accessibility, the different ways of consuming information, as well as, individual needs, role, learning preferences and even progression goals.
For technical users, we should factor the different software license in.
The skills needed would normally match a license type.
Click on details to see the different Tableau User Types.
understanding users, their demands, priorities and experiences
unlock your learners’ full potential
SKILL BELTS
Reward programs with a structured framework that aligns with an educational program, enabling users to learn key skills, perfect techniques and connect with peers, establishing data-driven communities.
Gamification and certifications are many times included in order to keep users motivated and willing to progress through the different stages of each path.
The framework should be flexible allowing the inclusion of different methods of learning, such as on-demand content, white papers, hands-on activities and trainer-led sessions.
data, digital, technology and innovation capabilities
INITIATIVES
Initiatives in data and analytics, are the foundation of social and community learning.
Allowing peer-to-peer collaboration and experience sharing, these initiatives support technology adoption, enable users to develop technical and non-technical skills, and have the potential to be integrated into educational programs and learning frameworks, such as the skill belts.
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