EDD 830 Unit 2: Innovations on KM by Jennifer Munoz https://padlet.com/jmunoz15/leu85ssskyhjclgb Made with the best of intentions en-us 2021-09-28 13:18:25 UTC 2021-10-23 20:39:39 UTC hello@padlet.com Lean Management jmunoz15 https://padlet.com/jmunoz15/leu85ssskyhjclgb/wish/1774566272 2021-09-28 13:20:01 UTC https://padlet.com/jmunoz15/leu85ssskyhjclgb/wish/1774566272 Analyzing a Body of knowledge jmunoz15 https://padlet.com/jmunoz15/leu85ssskyhjclgb/wish/1774569011 Read Ch 1,2 &3]]> 2021-09-28 13:20:46 UTC https://padlet.com/jmunoz15/leu85ssskyhjclgb/wish/1774569011 Unit 2 Notes jmunoz15 https://padlet.com/jmunoz15/leu85ssskyhjclgb/wish/1774571819 2021-09-28 13:21:33 UTC https://padlet.com/jmunoz15/leu85ssskyhjclgb/wish/1774571819 Introduction To Concepts Of Knowledge Management Models jmunoz15 https://padlet.com/jmunoz15/leu85ssskyhjclgb/wish/1774577694

Knowledge management is defined as the process of applying a systematic approach to the capture, structuring, management, and dissemination of knowledge throughout an organization to work faster, reuse best practices, and reduce costly rework (Nonaka and Takeuchi, 1995).  A model is defined as representation of a system that allows for investigation of the properties of the system and, in some cases, prediction of future outcomes.  A knowledge management model gives us the representation of the KM for the investigation of its properties for better understanding and systematizing our knowledge about knowledge management.

https://www.slideshare.net/tilahund/knowledge-management-models-57178105#:~:text=Introduction%20%EF%82%A8%20Knowledge%20management%20%EF%82%A4,Nonaka%20and%20Takeuchi%2C%20
]]> 2021-09-28 13:23:08 UTC https://padlet.com/jmunoz15/leu85ssskyhjclgb/wish/1774577694 jmunoz15 https://padlet.com/jmunoz15/leu85ssskyhjclgb/wish/1774584253 2021-09-28 13:24:52 UTC https://padlet.com/jmunoz15/leu85ssskyhjclgb/wish/1774584253 Models jmunoz15 https://padlet.com/jmunoz15/leu85ssskyhjclgb/wish/1774588535 2021-09-28 13:26:01 UTC https://padlet.com/jmunoz15/leu85ssskyhjclgb/wish/1774588535 4 models jmunoz15 https://padlet.com/jmunoz15/leu85ssskyhjclgb/wish/1774591909 2021-09-28 13:26:55 UTC https://padlet.com/jmunoz15/leu85ssskyhjclgb/wish/1774591909 Slideshow jmunoz15 https://padlet.com/jmunoz15/leu85ssskyhjclgb/wish/1774594528 2021-09-28 13:27:37 UTC https://padlet.com/jmunoz15/leu85ssskyhjclgb/wish/1774594528 SECI model jmunoz15 https://padlet.com/jmunoz15/leu85ssskyhjclgb/wish/1774597752 2021-09-28 13:28:30 UTC https://padlet.com/jmunoz15/leu85ssskyhjclgb/wish/1774597752 Knowledge Mgt in Education jmunoz15 https://padlet.com/jmunoz15/leu85ssskyhjclgb/wish/1774599948 2021-09-28 13:29:07 UTC https://padlet.com/jmunoz15/leu85ssskyhjclgb/wish/1774599948 Assignment jmunoz15 https://padlet.com/jmunoz15/leu85ssskyhjclgb/wish/1774604338 Within your assigned team:

  • Explore knowledge management models;
  • Describe knowledge management from an improvement science perspective within an organization of the team’s choice;
  • Investigate and report the knowledge management analytical approaches  within the organization;
  • Illustrate innovative knowledge management strategies for big data (a large amount of data, but more new applications, cultural adjustments, dealing with data we’ve never dealt with before to come to answers within the organization, perhaps a 1,500 person data set, etc). Perhaps do not have competencies to integrate big data (like Google with billions of records). Theirs is new and critical). Ability to get data sets to answer a POP within an organization and. Have informatic and analytic platform to respond. Difficulty with organizations who are new to big data… leadership may not embrace it yet. Educating them first and showing them the benefit. If they don’t have data there are public use data sets to assist with conclusions. How are we flexible. In the 90s we were pulling down 10% samples through DOD. Adaptations we go through to run data our leadership is looking for is imperative.  A different mindset that the students pick up. Providing resources and guidance for students. Applications within the organization. 
  • Vimeo, video, ppt., scholarly paper, infographic. (CLO 2)
Please find below the rubric to which this assignment is graded:


]]> 2021-09-28 13:30:15 UTC https://padlet.com/jmunoz15/leu85ssskyhjclgb/wish/1774604338 Big Data: 10 V's jmunoz15 https://padlet.com/jmunoz15/leu85ssskyhjclgb/wish/1791456984 Develop, support, codify big data. What can become explicit? 
Volume- 
Velocity- the speed at which we can process data
Variety-nature and variety of data
Variation
Veracity-Garbage in-Garbage in 
Validity
How do you display the data? Make it explicit
Fresh data? How old is it? Assessment data
Vulnerability of data- hacking data 
Value-extracting something useful



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