Patric Hellgren

[Patric Hellgren @PatricHellgren]

Final thought: Great Analytics Leadership requires a lot of effort, combining methodology, technology and lifelong learning, but it can be done! #SASchat

[Patric Hellgren @PatricHellgren]

#SASchat Fun and interesting topic. Have a great weekend!

[Patric Hellgren @PatricHellgren]

A6. Industry and universities are natural partners for bridging the skills gap. But government has also a huge role to play. #SASchat

[Patric Hellgren @PatricHellgren]

A6. Foster partnerships and collaboration between private sector and academia to develop specialized programs. Invest in training & upskilling for the existing workforce. Leverage data science communities. #SASchat

[Patric Hellgren @PatricHellgren]

A6. Work even closer with the industry, identify and apply the AI and Analytics industry standard methods, arrange Hackathons together with the industry. #SASchat

[Patric Hellgren @PatricHellgren]

A6. With the ongoing digital transformation, role descriptions have a fast change, the skills-based approach are growing up as a way forward to close the skills gap. So shorter courses, business issues aligned with AI use case learning. #SASchat

[Patric Hellgren @PatricHellgren]

A5. Understand were your organizations score in analytics maturity gives foundation for plan and execute a strategy that fulfills long-term objectives and identifying the shorter-term of skills need. This will quickly deliver joint focus and measurable results. #SASchat

[Patric Hellgren @PatricHellgren]

A5. Join networks, communities, share experiences with other analytics leaders from different industries and domains. #SASchat

[Patric Hellgren @PatricHellgren]

A5. In the “4th industrial revolution”, learning has to be taken with a different approach. Organize and build an environment for work-integrated learning. Solve problem and challenges by working together with all the experts in the value chain of analytics. #SASchat

[Patric Hellgren @PatricHellgren]

A4. In the unique conditions each organization are moving in, able to find the logic between the perspectives of AI transformation, Operationalization AI, Analytics Use cases, Roles and competences in AI and AI literacy. #SASchat

[Patric Hellgren @PatricHellgren]

A4. One capacity is to bring people along to strategies, analytics leaders have to be empathetic due people’s perspectives are different. A people mindset is critical. #SASchat

[Patric Hellgren @PatricHellgren]

A4. In an overview, ability to combine the hard skills sets (technology and AI techniques) with the more soft skills set in AI and Analytics (communication, problem solving, curiosity, teamwork) #SASchat

[Patric Hellgren @PatricHellgren]

@ChristerBodell @jackphillips @sasforums Top, also senior management needs to know more about conventional machine learning before getting a heavy dose of generative AI. #SASchat

[Patric Hellgren @PatricHellgren]

A3. With experience from the expertise in the ecosystems of AVT and ALP programs we see that analytics leaders need to have some kind of educational/pedagogical discipline in their daily work-duties. #SASchat

[Patric Hellgren @PatricHellgren]

A3. New way of thinking and set up the work, called it new mindsets must be addressed (muscle training for the brain)… Enterprise mindset, Evangelist mindset, Change agent mindset, People mindset, Growth mindset, AI/Analytics mindset. #SASchat

[Patric Hellgren @PatricHellgren]

@JJM_NZ @Riaantwit @jackphillips @sasforums Agree!

[Patric Hellgren @PatricHellgren]

A3. Since successful analytics is a “team sport”, an Analytics leader need to create an environment for collaboration, bring the disciplines of Business, IT and Analytics together, set common language and understanding for AI. #SASchat

[Patric Hellgren @PatricHellgren]

A2. Also to understand the mechanism to keep and retain the organizations critical analytics professionals. #SASchat

[Patric Hellgren @PatricHellgren]

A2. A committed Analytics leadership is often critical because what they unlock sources of funding and resources. It’s difficult for analytics professionals to accomplish their mission without this type of support. #SASchat

[Patric Hellgren @PatricHellgren]

A2. We all are affected of the Analytics and AI transformation; analytics leadership should provide the means for helping analytics professionals to grow beyond their current roles and leverage their experience to upskill into the new emerging roles. #SASchat