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Democratizing Analytics at Micron Technology

Ionicia Dembi is Senior Manager in Smart Manufacturing and AI at Micron Technology. For years, she has supported the organization’s yield enhancement, product yield engineering, quality and data analytics. As a JMP user, Dembi and her teams utilize JMP as one of their analytics tools for statistics, modeling and data visualization.

Topics:
Manufacturing & Prototyping

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    Transcript

    00:00:00 At Micron we're very data driven company.  There is expectation for people in all sorts of   roles that they need to learn some components of  analytics or statistics because data scientists   are not enough [Music] We have so much data  in our manufacturing process that you can have   thousands of data scientists and you will still  need to learn new things. We need domain experts   to partner very closely with the data scientists. You don't necessarily want process Engineers to   become experts in Python or R some of these  other open source languages that are out there.   JMP helps guide them to analyze things and try  different ways to analyze the data different ways   to visualize the data they do the analysis they  see their results they get excited you can see   that they want to learn more they trust the data  or they understand the data more they understand   some of the limitations and they can help guide  and work with the data scientists for future  

    00:01:08 work. That does provide a lot of value and our  leadership is on board and they're encouraging   people to learn and to grow. The more we talk about  it analytics and more people understand what it   is that it's not scary it is just a tool is just  something that you learn and with JMP a big part   in the UI component is having the visualization of  the data. There are some people that you show them   the tables or you show them summary statistics  and they're like they don't quite understand   it. With the Graph Builder capabilities and the  visualization of the data people that were maybe   not very advanced in statistics see the data  visually and so there was a that connection.   I can see it now rather than just tables or  statistics. At Micron there are training tracks   that people are in based on what their position is  at the company and then as they move or progress   through their careers. It starts basically with the  technicians and then it goes all the way up to the  

    00:02:12 senior leaders. We have basic statistics courses  and we are using STIPS as part of the statistical   training. We have Coursera licenses that people can  go in and do more advanced training and uh I think   modularizing it helps a lot. We're fortunate that  we have this partnership with JMP that if there   is an advanced topic that maybe nobody within the  company knows we can partner with JMP to say hey   can we get training tailored to us because we  have those super users that really want to know   these topics and they want to know how they can  do this type of analysis. We also have those people   that love JMP and anytime something new comes  out they want to try it they want to improve   the process and improve yield quality and so on.  If they have somebody within their team that is   a JMP power users they may ask them to build  add-ins so that way the rest of the team will   be able to do some of that work without having  to know everything and actually once you have  

    00:03:12 the add-ins a lot more people can do the analysis  and you know that they do it consistently the same   way and get the same results. We've done quite a  bit working with JMP providing feedback what our   users are saying what are the things that they  would want to have as they're doing analytics   and people were very excited and happy that JMP listened to us and I'm sure other people in the   JMP user Community being able to query the  databases directly from JMP. So previously we   would have people that would build add-ins that  non-JMP users or JMP users that were basic   users would not be able to do but then the basic  users would still have to go in and extract the   data and then try to figure out different ways to  extract the data before they would be able to do   the analysis utilizing the add-ins. So once we had  the capability of querying the databases then the   JMP power users could just create those add-ins  extracting the data and doing the analysis that  

    00:04:13 was a you know a very good thing and again  feedback to JMP and JMP listening to us   all of our businesses they're just becoming more  and more complex we get more and more data more   and more different types of data and so we do  need to have everybody rise and increase their   skill sets. Within the business at Micron we don't  have to convince people. Everybody has seen the   value on analytics and that it helps us analyze  things, process improvements, yield Improvement,   quality improvements, time to market that it  helps the business all of that is huge and   success breeds success basically. Micron leadership  is very focused and I want us to be able to make   decisions that are data driven and they see their  results and who they get excited about it. [Music]