Case Study: Building a Culture of Analytics in HR at Micron

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Case Study: Building a Culture of Analytics in HR at Micron

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Speaker: Tim Long Director of Workforce Information Micron technology INC.

Moderator: Dave Weisbeck

Chief Strategy Officer Visier

Case Study: Building a Culture of Analytics in HR at Micron

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#WFwebinar Sponsored  By:  

       

Dave  Weisbeck  Chief  Strategy  Officer  Visier  

Case Study: Building a Culture of Analytics in HR at Micron

#WFwebinar Sponsored  By:  

       

Tim  Long      Director  of  Workforce  Informa@on  Micron  Technology  INC.  

Case Study: Building a Culture of Analytics in HR at Micron

Fostering  a  data-­‐driven  culture  in  HR  with  cloud-­‐based  analy@cs  

Tim  Long  Director  of  Workforce  Analy@cs  and  Systems  Micron  Technology  

Automo6ve  

Server   Mobile   Personal  Compu6ng   IMM  

Storage   Graphics  /  Consumer   Networks  

About  Micron  

Boise,  Idaho  USA  

FAB1C                DRAM  &  NAND  R&D  FAB1A/X      R&D  

     

1        

1        

3        

Manassas,  Virginia  USA  

FAB6    DRAM,  NAND  

2        

Lehi,  Utah  USA  (IMFT)    FAB2      NAND  

3        

2        

4        

Puerto  Rico,  USA    MPR        Module    

5        

5         6  

     7        

8        9        

10        11        

12        

Agrate,  Italy    

FAB14      NOR  &  PCM  R&D  

6        

7        

8        

Hiroshima,  Japan  

DRAM  Akita,  Japan  Backend  

9        

10        

11        

12        

Muar,  Malaysia    MMY          Package  &  Test    

Xian,  China    MXA              Test  &  Module    

Singapore  

FAB7              DRAM  FAB10          NAND  FAB13          NOR  MSB                  Packaging  &  Test    

 

Taiwan  (Inotera)    FAB  11            DRAM  

Taiwan    DRAM  

4        

About  Micron  

Mechanical  Engineering  

About  Me  

2001  

SoTware  Engineer  

2002  

HR  Process  and  Measures  

2011   2012  

Workforce  Analy@cs  Team  

Forms  

2013  

MS  Business  Analy@cs  

Poll  -­‐  What  is  your  background?  

A.  HR  

B.  Technical  (Engineering,  IT,  etc.)  

C.  Business  

D.  Other  

MICRON’S  JOURNEY  

HR   Finance  *  Not  actual  Micron  Execu:ves.  

“People  are  your  most  important  asset.”    

-­‐  Every  Manager,  Ever  

How  would  you  manage  a  

$2,000,000,000  investment?  

*  Grossly  es@mated.  

*  

Analy@cs  is  Where  It’s  At  

Google  

What  are  analy@cs?      

How  can  analy@cs  help  HR?  

Analy@cs  can  help  HR  

1.  Hire  be\er  and  faster  

2.  Develop  capabili@es  

3.  Mobilize  talent  

4.  Retain  top  talent  

Reality  

Goal  

Poll  –  Where  are  You?  

Poll  –  Where  are  You?  

Build  a  Workforce  Analy@cs  Strategy  

1.  Revise  HR  Strategy  

2.  Incen@vize  

3.  Ini@ate  Program  

 

1.  Revise  HR  Strategy      FY2015  

VALU

E O

PERAT

ION

S

EFFI

CIE

NCY

ENABLE

RS

TALE

NT

STR

ATEG

Y

Enhance  Financial  Business  Value  

A\ract  &  Retain  High  Performers  

Develop  &  Engage  all  Team  Members  

Deliver  globally  aligned  and  

regionally  op@mized  solu@ons  

Simplify  HR  Processes,  Systems,  

&  Informa6on  

Improve  HR  Team  &  Org  Capabili@es  

Mo@vate  &  Reward  though  Pay  for  Performance  

Drive  One  HR  

2.  Incen@vize  

Mo@vate  Change  

Align  Globally  

Automate  Data  Collec@on  

Standardize  Reports  

 

$  

3.  Ini@ate  a  Program  

CRITICAL  PROGRAM  DECISIONS  

Cri@cal  Program  Decisions  

1.  How  are  HR  data  and  metrics  defined?  

2.  What  is  your  strategy  for  self-­‐service?  

3.  How  will  you  collect  and  stage  data  for  analysis?  

4.  How  will  you  deploy  your  solu@ons?  

Align  Data  and  Defini@ons  

Self-­‐Service  Strategy  

8    analysts  

 Workforce  Systems  and  

Analy@cs  

     

Repor@ng  

Workforce  Informa@on  Team  2011  

Opera@onal  Repor@ng  (Spreadsheets)  

100%        

Self-­‐Service  Strategy  

Basic  report  development  can  take  several  months  

Small  Data  can  s@ll  be  a  Big  Challenge  

Workforce  Analy@cs  –  Data  with  Feelings  

8  years  200,000  workers  15  sources  

Back-­‐da@ng  

Interac@ve  interfaces  

Highly  dimensionalized  

Security  

Make  this  someone  else’s  challenge.  

Workforce  Analy@cs  HR  IS  Systems   Data  Warehouse  

How  will  you  stage  your  data?  

?

Workforce  Analy@cs  HR  IS  Systems  

How  will  you  stage  your  data?  

Poll  –  Pursuing  a  Data  Warehouse?  

A.  Not  yet  decided  

B.  Definitely  no  

C.  Yes,  just  star@ng  

D.  Yes,  already  built  

Rollout  Strategy  

Deploy  Technology  

Train  HR  Analysts  

Train  HR  Business  Partners  

HR  BPs  Develop  Dashboards  and  Slideshows  

BPs  Train  Business  Users  

Comple@on  of  Training  is  required  for  system  access.  

EXAMPLE  WORKFORCE  ANALYTICS  PROJECT  

Do  changes  to  base  pay  reflect  the  desire  to  compensate  based  on  compe@@ve  wages  in  the  market  AND  individual  

performance  in  the  job?  

Base  Pay  Budgets    are  Generated  

(1000+)  

June  

Execu@ve    Review  

September  

Budgets  are  Distributed  and  

Applied  

July   August  

Payroll  is    Updated  

Can  reviews  be  accomplished  more  real-­‐@me?  

Base  Pay  Review  Process  

June  

Execu@ve      and  Manager  Real-­‐

@me  Preview  

September  

Budgets  are  Distributed  and  

Applied  

July   August  

Payroll  is    Updated  

Execu@ve    Review  

Base  Pay  Preview  Process  

Base  Pay  Budgets    are  Generated  

(1000+)  

Cloud  to  Cloud  Integra@on  

Workforce  Analy@cs  Compensa@on  

Daily  Upload  Cycle  

13  interac@ve  slides  

How  will  wage  changes  be  distributed?  

Headcount  by  Proposed  Base  Pay  Change  %  

*  Simulated  data  for  illustra@on  purposes  only.  

How  will  the  new  compensa@on  profiles  compare  to  current  performance?  

Proposed  Compara@os  by  Performance  Ra@ng  with  comparison  of  2014  to  2015  

*  Simulated  data  for  illustra@on  purposes  only.  

Performance  

Low  

High  

90%    Of  Managers    

Agreed  

Post  Implementa@on  Survey  

“The  Visier  Base  Pay  Analy:cs  was  a  valuable  resource.”  

ADOPTION  

Training  Investments  

2013   2014   2015  2012  

Basic  Reports  Training  75  trainees  

Visier  Scenario-­‐based  Training  

237  trainees  

Basic  Reports  Usage  

                                         Adop@on  

*  Calendar  2014.    Users  with  at  least  2  dis@nct  logins.  

Visier  |  Long  2015  

                                         Slideshow  Adop@on  

72  slideshow    authors  

179  unique  

slideshows  

1,700  slideshow  views  

 Workforce  Systems  and  

Analy@cs  

   

Analy@cs  

   

Data  Warehousing  

   

System    Analysts  

Workforce  Informa@on  Team  2015  

     Strategic  Ad  Hoc    Repor@ng  

     

85%  15%  

R!

Reaching  New  Heights                  Micron  

2015  

2011  

Ques@ons  

?

2013  

Data    Warehousing  

Begins  

Predic@on  and  Experiments  

2014  2011   2015  2012  

The    Awakening  

Online  Analy@cs  (6  weeks)  

Online    Repor@ng  

Analy@cs  in  HR  Strategy  

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