Understanding	
  and	
  
Improving	
  Customer	
  
Experience	
  at	
  the	
  UKs	
  
Leading	
  Mul;-­‐Channel	
  
Retailer,	
  John	
  Lewis	
  
Aleem	
  Cummins	
  
Online	
  Release	
  Implementa;on	
  
Manager,	
  
John	
  Lewis	
  
Disclaimer	
  
2	
  
During	
  the	
  course	
  of	
  this	
  presenta;on,	
  we	
  may	
  make	
  forward-­‐looking	
  statements	
  regarding	
  future	
  events	
  or	
  the	
  
expected	
  performance	
  of	
  the	
  company.	
  We	
  cau;on	
  you	
  that	
  such	
  statements	
  reflect	
  our	
  current	
  expecta;ons	
  and	
  
es;mates	
  based	
  on	
  factors	
  currently	
  known	
  to	
  us	
  and	
  that	
  actual	
  events	
  or	
  results	
  could	
  differ	
  materially.	
  For	
  
important	
  factors	
  that	
  may	
  cause	
  actual	
  results	
  to	
  differ	
  from	
  those	
  contained	
  in	
  our	
  forward-­‐looking	
  statements,	
  
please	
  review	
  our	
  filings	
  with	
  the	
  SEC.	
  The	
  forward-­‐looking	
  statements	
  made	
  in	
  the	
  this	
  presenta;on	
  are	
  being	
  made	
  as	
  
of	
  the	
  ;me	
  and	
  date	
  of	
  its	
  live	
  presenta;on.	
  If	
  reviewed	
  aQer	
  its	
  live	
  presenta;on,	
  this	
  presenta;on	
  may	
  not	
  contain	
  
current	
  or	
  accurate	
  informa;on.	
  We	
  do	
  not	
  assume	
  any	
  obliga;on	
  to	
  update	
  any	
  forward-­‐looking	
  statements	
  we	
  may	
  
make.	
  In	
  addi;on,	
  any	
  informa;on	
  about	
  our	
  roadmap	
  outlines	
  our	
  general	
  product	
  direc;on	
  and	
  is	
  subject	
  to	
  change	
  
at	
  any	
  ;me	
  without	
  no;ce.	
  It	
  is	
  for	
  informa;onal	
  purposes	
  only,	
  and	
  shall	
  not	
  be	
  incorporated	
  into	
  any	
  contract	
  or	
  
other	
  commitment.	
  Splunk	
  undertakes	
  no	
  obliga;on	
  either	
  to	
  develop	
  the	
  features	
  or	
  func;onality	
  described	
  or	
  to	
  
include	
  any	
  such	
  feature	
  or	
  func;onality	
  in	
  a	
  future	
  release.	
  
About	
  Me	
  
! Aleem	
  Cummins	
  
–  Online	
  Release	
  Implementa;on	
  Manager	
  	
  
–  Splunk	
  Advocate	
  and	
  Thought	
  Leader	
  
–  Splunk	
  User	
  Group	
  -­‐	
  London	
  
–  Involved	
  in	
  IT	
  for	
  15	
  years	
  
ê  Development,	
  Service	
  Management,	
  Support	
  
ê  Splunk,	
  Opera;onal	
  Intelligence,	
  CSI	
  
–  Master	
  Prac;;oner	
  of	
  Neuro	
  Linguis;c	
  Programming	
  (NLP)	
  
ê  Posi;ve	
  Engagement,	
  Modeling	
  What	
  Works	
  
ê  Unleashing	
  Poten;al,	
  Inspira;onal	
  Leadership	
  
	
  	
  
h[p://uk.linkedin.com/in/AleemCummins	
  
	
  
@AleemCummins	
  
Good	
  Ci;zen	
  
 	
  
John	
  Lewis	
  
!   Founded	
  in	
  London	
  in	
  1864	
  
!   Owned	
  in	
  trust	
  by	
  its	
  partners	
  
(employees)	
  
!   JohnLewis.com	
  annual	
  revenue	
  
exceeds	
  £1bn	
  
!   Focus	
  -­‐	
  be	
  leading	
  UK	
  	
  
omni-­‐channel	
  retailer	
  	
  
!   Values	
  -­‐	
  customer	
  service,	
  	
  
trust	
  and	
  values	
  
!   Largest	
  department	
  store	
  	
  
in	
  the	
  UK	
  
Agenda	
  
!   Brief	
  History	
  and	
  our	
  vision	
  
!   Architecture	
  and	
  what	
  we	
  are	
  Splunking	
  
!   Working	
  with	
  data	
  across	
  channels	
  
!   Driving	
  Business	
  Value	
  
!   Checkout	
  intelligence	
  and	
  elimina;ng	
  drop-­‐offs	
  
!   Modeling	
  customer	
  journeys	
  with	
  Splunk	
  
!   Analyzing	
  what	
  isn’t	
  there	
  to	
  ensure	
  transac;ons	
  
!   Mission	
  control	
  approach	
  to	
  managing	
  our	
  largest	
  events	
  
!   Top	
  ;ps	
  
!   Summary	
  and	
  lessons	
  learned	
  	
  
	
  	
  
The	
  History	
  of	
  Splunk	
  at	
  John	
  Lewis	
  
	
  	
  
Log shipping
Log parsing
Keyword search
Highly complex analysis
Trend analysis
Visualizations (dashboards)
Traffic modeling
Incident and checkout analysis
Complex alerting
Splunk introduced
Summer 2011
New Ecommerce Platform
March 2013
Simple alerting
Charting
2014	
  
2015	
  +	
  
Our	
  Vision	
  
Opera;onal	
  visibility	
  of	
  issues	
  before	
  they	
  are	
  reported	
  
Maintain	
  excellent	
  customer	
  experience	
  	
  
Model	
  customer	
  behavior	
  
Enhanced	
  opera;onal	
  intelligence	
  	
  
–  Insighhul	
  mul;-­‐level	
  repor;ng	
  
–  Leading	
  edge	
  applica;on	
  management	
  
Build	
  out	
  a	
  organiza;onal	
  adop;on	
  of	
  opera;onal	
  intelligence	
  	
  
Use	
  Splunk	
  as	
  the	
  go-­‐to	
  place	
  for	
  issue	
  analysis	
  
Define	
  best	
  prac;ce	
  for	
  IT	
  &	
  business	
  insight	
  across	
  the	
  organiza;on	
  
Build	
  enterprise	
  governance	
  to	
  support	
  enterprise	
  infrastructure	
  
	
   	
  	
  
The	
  John	
  Lewis	
  Splunk	
  Architecture	
  
	
  	
  
Forwarders
Job Server
(Active)
Job Server
(Passive)
Search Heads Search Heads
Deployment
Server (Active)
Indexers Indexers
Deployment
Server (Passive)
Forwarders
Today
DataCenter	
  1	
   DataCenter	
  2	
  
The	
  John	
  Lewis	
  Splunk	
  Architecture	
  
Forwarders
Job Server
(Active)
Job Server
(Passive)
Search Heads Search Heads
Cluster Master
(Active)
Indexers Indexers
DataCenter	
  1	
   DataCenter	
  2	
  
Log Data
Auto
Replication
of Data
Load Balancing
Cluster Master
(Passive)
Forwarders
Future
DATA	
  SOURCES	
  WE	
  SPLUNKED	
  
Splunking	
  Across	
  The	
  Channels	
  
	
  	
  
Online	
  |	
  In	
  Store	
  |	
  Mobile	
  
Failure	
  Rate	
  By	
  
●  Server	
  
●  TransacHon	
  Type	
  
●  Type	
  
Response	
  Time	
  	
  
●  By	
  IntegraHon	
  Server	
  
●  Breakdown	
  
●  Extremes	
  
●  DistribuHon	
  
TransacHons	
  	
  
●  By	
  Server	
  
●  By	
  Type	
  
TransacHons	
  Per	
  Second	
  	
  
●  By	
  Server	
  
●  Extremes	
  
●  By	
  Source	
  
TransacHon	
  Detail	
  
Selected	
  Key	
  Metrics	
  
Business	
   IT	
  Opera;ons	
  
Driving	
  Business	
  Value	
  
Real	
  Time	
  
Analysis	
  
Common	
  Currency	
  
Time	
  to	
  Answer	
  
Trust	
  
Integrity	
  
Metrics	
  
NFRs	
  
Service	
  	
  
Introduc;on	
  
Release	
  Mgmt	
  
	
  
Unstructured	
  Data	
  
Analysis	
  
Reassurance	
  
Confidence	
  
Collabora;on	
  
Dynamic	
  
	
  	
  
Tracking	
  Drop-­‐offs	
  Using	
  Checkout	
  Intelligence	
  	
  
	
  	
  
Modelling	
  Customer	
  Journeys	
  
Theory…	
  
Reality!	
  
Analysing	
  What	
  Isn’t	
  There	
  to	
  Ensure	
  Transac;ons	
  
Drop off in Web Kit 533 browsers Fixed with Splunk
Mission	
  Control	
  Approach	
  to	
  Managing	
  Our	
  Largest	
  Events	
  
Ensuring	
  the	
  Health	
  of	
  JohnLewis.com	
  
ORGANISATIONAL	
  
Making the case for Splunk
Aligning teams and values
Surfing the expectation curve
Strategy
Ownership & engagement
Looks Do-able …
But People Matter More!
TECHNICAL	
  
Configuration management
Capability & capacity
User administration
Creating dashboards
Availability/Disaster Recovery
The	
  Challenges	
  We	
  Faced	
  (and	
  Overcame)	
  
Top	
  Tips	
  –	
  Bring	
  the	
  Bling	
  
	
  	
  
DEMOCRATIZATION OF THE DATA IS
MORE IMPORTANT THAN TECHNICAL
SOPHISTICATION
Top	
  Tips	
  –	
  Have	
  an	
  Open	
  Mind	
  
	
  	
  
“YOU DON’T KNOW WHAT YOU DON’T KNOW”
Summary	
  and	
  Lessons	
  Learned	
  	
  
!  Discovering	
  Splunk	
  has	
  made	
  a	
  profound	
  difference	
  to	
  our	
  approach	
  
!  Business	
  engagement	
  and	
  buy-­‐in	
  is	
  mission	
  cri;cal	
  
!  New	
  tech	
  needs	
  champions	
  
!  You	
  need	
  to	
  be	
  proac;ve	
  with	
  organiza;onal	
  challenges	
  and	
  opportuni;es	
  	
  
!  Be	
  pa;ent,	
  resilient,	
  posi;ve,	
  humble,	
  informed	
  and	
  deliberate	
  
!  Bling	
  is	
  great	
  for	
  impact	
  but	
  leadership	
  and	
  vision	
  drives	
  long	
  term	
  growth	
  
! Splunk	
  needs	
  to	
  be	
  a	
  core	
  part	
  of	
  our	
  opera;onal	
  support	
  systems	
  (OSS).	
  
!  Project	
  success	
  is	
  driven	
  by	
  posi;ve,	
  informed	
  and	
  collabora;ve	
  EARLY	
  engagement	
  
!  Always	
  be	
  a	
  good	
  ci;zen	
  	
  
!  Never	
  miss	
  an	
  opportunity	
  
!  Logging	
  standards	
  and	
  conven;ons	
  are	
  vital	
  	
  
!  Opera;onal	
  Intelligence	
  is	
  actually	
  just	
  common	
  sense	
  (WHY	
  →	
  WHAT	
  →	
  WHERE	
  →	
  WHEN	
  →	
  HOW)	
  
	
  	
  
 	
  
I	
  am	
  a	
  champion	
  
I	
  am	
  a	
  thought	
  leader	
  
I	
  am	
  me	
  
Ques;ons	
  and	
  Answers	
  
THANK	
  YOU	
  
@AleemCummins	
  

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Splunk in John Lewis: Business Analytics

  • 1. Understanding  and   Improving  Customer   Experience  at  the  UKs   Leading  Mul;-­‐Channel   Retailer,  John  Lewis   Aleem  Cummins   Online  Release  Implementa;on   Manager,   John  Lewis  
  • 2. Disclaimer   2   During  the  course  of  this  presenta;on,  we  may  make  forward-­‐looking  statements  regarding  future  events  or  the   expected  performance  of  the  company.  We  cau;on  you  that  such  statements  reflect  our  current  expecta;ons  and   es;mates  based  on  factors  currently  known  to  us  and  that  actual  events  or  results  could  differ  materially.  For   important  factors  that  may  cause  actual  results  to  differ  from  those  contained  in  our  forward-­‐looking  statements,   please  review  our  filings  with  the  SEC.  The  forward-­‐looking  statements  made  in  the  this  presenta;on  are  being  made  as   of  the  ;me  and  date  of  its  live  presenta;on.  If  reviewed  aQer  its  live  presenta;on,  this  presenta;on  may  not  contain   current  or  accurate  informa;on.  We  do  not  assume  any  obliga;on  to  update  any  forward-­‐looking  statements  we  may   make.  In  addi;on,  any  informa;on  about  our  roadmap  outlines  our  general  product  direc;on  and  is  subject  to  change   at  any  ;me  without  no;ce.  It  is  for  informa;onal  purposes  only,  and  shall  not  be  incorporated  into  any  contract  or   other  commitment.  Splunk  undertakes  no  obliga;on  either  to  develop  the  features  or  func;onality  described  or  to   include  any  such  feature  or  func;onality  in  a  future  release.  
  • 3. About  Me   ! Aleem  Cummins   –  Online  Release  Implementa;on  Manager     –  Splunk  Advocate  and  Thought  Leader   –  Splunk  User  Group  -­‐  London   –  Involved  in  IT  for  15  years   ê  Development,  Service  Management,  Support   ê  Splunk,  Opera;onal  Intelligence,  CSI   –  Master  Prac;;oner  of  Neuro  Linguis;c  Programming  (NLP)   ê  Posi;ve  Engagement,  Modeling  What  Works   ê  Unleashing  Poten;al,  Inspira;onal  Leadership       h[p://uk.linkedin.com/in/AleemCummins     @AleemCummins   Good  Ci;zen  
  • 4.     John  Lewis   !   Founded  in  London  in  1864   !   Owned  in  trust  by  its  partners   (employees)   !   JohnLewis.com  annual  revenue   exceeds  £1bn   !   Focus  -­‐  be  leading  UK     omni-­‐channel  retailer     !   Values  -­‐  customer  service,     trust  and  values   !   Largest  department  store     in  the  UK  
  • 5. Agenda   !   Brief  History  and  our  vision   !   Architecture  and  what  we  are  Splunking   !   Working  with  data  across  channels   !   Driving  Business  Value   !   Checkout  intelligence  and  elimina;ng  drop-­‐offs   !   Modeling  customer  journeys  with  Splunk   !   Analyzing  what  isn’t  there  to  ensure  transac;ons   !   Mission  control  approach  to  managing  our  largest  events   !   Top  ;ps   !   Summary  and  lessons  learned        
  • 6. The  History  of  Splunk  at  John  Lewis       Log shipping Log parsing Keyword search Highly complex analysis Trend analysis Visualizations (dashboards) Traffic modeling Incident and checkout analysis Complex alerting Splunk introduced Summer 2011 New Ecommerce Platform March 2013 Simple alerting Charting 2014   2015  +  
  • 7. Our  Vision   Opera;onal  visibility  of  issues  before  they  are  reported   Maintain  excellent  customer  experience     Model  customer  behavior   Enhanced  opera;onal  intelligence     –  Insighhul  mul;-­‐level  repor;ng   –  Leading  edge  applica;on  management   Build  out  a  organiza;onal  adop;on  of  opera;onal  intelligence     Use  Splunk  as  the  go-­‐to  place  for  issue  analysis   Define  best  prac;ce  for  IT  &  business  insight  across  the  organiza;on   Build  enterprise  governance  to  support  enterprise  infrastructure        
  • 8. The  John  Lewis  Splunk  Architecture       Forwarders Job Server (Active) Job Server (Passive) Search Heads Search Heads Deployment Server (Active) Indexers Indexers Deployment Server (Passive) Forwarders Today DataCenter  1   DataCenter  2  
  • 9. The  John  Lewis  Splunk  Architecture   Forwarders Job Server (Active) Job Server (Passive) Search Heads Search Heads Cluster Master (Active) Indexers Indexers DataCenter  1   DataCenter  2   Log Data Auto Replication of Data Load Balancing Cluster Master (Passive) Forwarders Future
  • 10. DATA  SOURCES  WE  SPLUNKED  
  • 11. Splunking  Across  The  Channels       Online  |  In  Store  |  Mobile   Failure  Rate  By   ●  Server   ●  TransacHon  Type   ●  Type   Response  Time     ●  By  IntegraHon  Server   ●  Breakdown   ●  Extremes   ●  DistribuHon   TransacHons     ●  By  Server   ●  By  Type   TransacHons  Per  Second     ●  By  Server   ●  Extremes   ●  By  Source   TransacHon  Detail   Selected  Key  Metrics   Business   IT  Opera;ons  
  • 12. Driving  Business  Value   Real  Time   Analysis   Common  Currency   Time  to  Answer   Trust   Integrity   Metrics   NFRs   Service     Introduc;on   Release  Mgmt     Unstructured  Data   Analysis   Reassurance   Confidence   Collabora;on   Dynamic      
  • 13. Tracking  Drop-­‐offs  Using  Checkout  Intelligence        
  • 14. Modelling  Customer  Journeys   Theory…   Reality!  
  • 15. Analysing  What  Isn’t  There  to  Ensure  Transac;ons   Drop off in Web Kit 533 browsers Fixed with Splunk
  • 16. Mission  Control  Approach  to  Managing  Our  Largest  Events   Ensuring  the  Health  of  JohnLewis.com  
  • 17. ORGANISATIONAL   Making the case for Splunk Aligning teams and values Surfing the expectation curve Strategy Ownership & engagement Looks Do-able … But People Matter More! TECHNICAL   Configuration management Capability & capacity User administration Creating dashboards Availability/Disaster Recovery The  Challenges  We  Faced  (and  Overcame)  
  • 18. Top  Tips  –  Bring  the  Bling       DEMOCRATIZATION OF THE DATA IS MORE IMPORTANT THAN TECHNICAL SOPHISTICATION
  • 19. Top  Tips  –  Have  an  Open  Mind       “YOU DON’T KNOW WHAT YOU DON’T KNOW”
  • 20. Summary  and  Lessons  Learned     !  Discovering  Splunk  has  made  a  profound  difference  to  our  approach   !  Business  engagement  and  buy-­‐in  is  mission  cri;cal   !  New  tech  needs  champions   !  You  need  to  be  proac;ve  with  organiza;onal  challenges  and  opportuni;es     !  Be  pa;ent,  resilient,  posi;ve,  humble,  informed  and  deliberate   !  Bling  is  great  for  impact  but  leadership  and  vision  drives  long  term  growth   ! Splunk  needs  to  be  a  core  part  of  our  opera;onal  support  systems  (OSS).   !  Project  success  is  driven  by  posi;ve,  informed  and  collabora;ve  EARLY  engagement   !  Always  be  a  good  ci;zen     !  Never  miss  an  opportunity   !  Logging  standards  and  conven;ons  are  vital     !  Opera;onal  Intelligence  is  actually  just  common  sense  (WHY  →  WHAT  →  WHERE  →  WHEN  →  HOW)      
  • 21.     I  am  a  champion   I  am  a  thought  leader   I  am  me   Ques;ons  and  Answers