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Building	
  Outstanding	
  Customer	
  Relationships
Delivering	
  Relevant	
  Next	
  Best	
  Actions	
  for	
  Retail	
  Bank	
  Customers
WEBINAR
Steven	
  Noels,	
  CTO
NGDATA
James	
  Taylor,	
  CEO,	
  
Decision	
  Management	
  Solutions
Introducing	
  Next	
  Best	
  Action
3
Every	
  Customer	
  Interaction	
  Builds	
  Value
4
Maximizing	
  the	
  Value	
  Requires	
  Focus
ACTION
THE  RIGHT
PERSON
THE  RIGHT
TIME
THE  RIGHT
CHANNEL
THE  RIGHT
5
Next	
  Best	
  Action
• 1:1	
  Marketing
• Cross-­‐channel	
  Marketing
• Markets	
  of	
  1
• Personalization
• Right	
  Action
• Right	
  Person
• Right	
  Time
• Right	
  Channel
Decisions	
  Drive	
  Next	
  Best	
  Action
7
Optimizing	
  Every	
  Interaction	
  Requires	
  Decisions
• What’s	
  the	
  next	
  best	
  action	
  for	
  this	
  customer?
• What	
  channel	
  should	
  I	
  use	
  to	
  contact	
  them?
• How	
  do	
  I	
  retain	
  this	
  customer?
• Can	
  I	
  approve	
  this	
  customer’s	
  request?
• What	
  will	
  make	
  this	
  customer	
  more	
  loyal?
• Is	
  this	
  customer	
  valuable	
  enough	
  to	
  retain?
• What’s	
  the	
  best	
  way	
  to	
  handle	
  this	
  problem?
• Why	
  is	
  this	
  customer	
  calling?
• …
8
Consistent	
  Decisions
Decision
Across	
  all	
  channels
Customer-­‐centric
9
Precise	
  Decisions
Replace	
  cookie-­‐cutter With:	
  
• Localized
• Personalized
• Timely
10
Responsive	
  Decisions
Event
Decision
Latency
Action
Technology	
  for	
  Next	
  Best	
  Action	
  Decisions
12
Next	
  Best	
  Action
Decision	
  Management	
  Systems
Agile Analytic Adaptive
13
Delivering	
  Next	
  Best	
  Action
Decision
Traditional New
External ü ü
Internal ü ü
Analytically	
  enrich	
  it
Make	
  Consistent,	
  Precise,	
  Real-­‐Time	
  
Decisions	
  Across	
  All	
  Channels
Learn	
  Continuously
Start	
  with	
  customer	
  data
Add	
  Policies,	
  Regulations
Best	
  Practices	
  and	
  Preferences
14
Technology	
  Needs
• Manage	
  Customer	
  Data
o Structured	
  and	
  unstructured;	
  Internal	
  and	
  external
• Build	
  Data-­‐Driven	
  Analytics
o Customer-­‐level	
  understanding	
  -­‐ “segments	
  of	
  1”
o Risk	
  and	
  response	
  predictions
• Manage	
  Rules
o Policies,	
  regulations,	
  best	
  practices	
  and	
  customer	
  preferences
• Deploy	
  Decision-­‐Making
o Consistent,	
  precise	
  real-­‐time	
  decisions	
  available	
  across	
  all	
  channels
• Learn	
  and	
  adapt
o Track	
  behavior	
  and	
  learn	
  over	
  time
15
From	
  Traditional	
  Marketing…	
  To	
  Next	
  Best	
  Action
• Next	
  product
• Campaign	
  targeting
• Process-­‐centric,	
  batch
• Web	
  analytics
• A/B	
  Testing
• Few	
  channels
• Portfolio	
  level	
  analysis
• Actions	
  not	
  just	
  offers
• Offer	
  personalization
• Real-­‐time	
  event/response	
  
• Predictive	
  analytics
• Adaptive	
  analytics
• Many	
  channels	
  include	
  SoMoLo
• Micro-­‐segmentation
Next	
  Best	
  Action	
  is	
  a	
  Change	
  
in	
  Focus	
  and	
  Technology
17
Value	
  for	
  All	
  Parties
VALUE	
  FOR	
  CUSTOMERVALUE	
  FOR	
  COMPANY
VALUE
18
Lily	
  Enterprise™:	
  The	
  Analytics	
  Revolution
From	
  a	
  Manual	
  World	
  (Insights)	
  to	
  Operational	
  Analytics	
  (Impact)
DATA
INSIGHT
BI	
  TEAMS BUSINESS
ACTION
ENGAGEMENT
Ultimate	
  cross-­‐
channel	
  customer	
  
recognition
Personal	
  
Customer	
  
experiences
Cross-­‐channel	
  
(contextual)	
  
experience
Smarter
media	
  buys
Streaming	
  analytics	
  
and	
  real-­‐time	
  
interactions
Real-­‐time	
  campaign	
  
and	
  performance	
  
optimization
Relevant	
  Inbound	
  
Offers	
  and	
  Actions	
  
19
Customer	
  DNA
20
Lily	
  Customer	
  DNA	
  Advantages
Driving	
  Revenues:	
  Effectiveness	
  and	
  Efficiency
No	
  more	
  time	
  lost	
  on	
  
data	
  gathering	
  and	
  
preparation
Fully	
  integrated	
  
and	
  automated	
  
processes
Data	
  is	
  always	
  
complete	
  and	
  always	
  
current
Insights	
  
immediately	
  
turned	
  into	
  action
Analysts	
  focus	
  on	
  
higher	
  level	
  and	
  
next	
  gen	
  analytics	
  
x10	
  targeting	
  
precision,	
  increasing	
  
revenues	
  and	
  loyalty
21
Lily	
  Enterprise:	
  Defined
Plugs	
  into	
  the	
  platform	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Platform	
  may	
  integrate	
  with	
  or	
  contain	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Platform	
  contains
Real-­‐time
integration
Big	
  Data	
  Foundation
Enterprise	
  Data	
  Management,	
  Governance,	
  Security
Channel	
  applications
Learn
Continuous	
  
Feedback
External	
  Analytics	
  
&	
  data	
  science	
  
tools,	
  frameworks	
  
and	
  services
External	
  
Dashboards
Analytics	
  
and	
  data	
  science	
  
tools,	
  frameworks	
  
and	
  services
Insight-­‐driven	
  processes
Dashboards
Decision	
  and	
  
management	
  
logic
Learn
35%
87%
$124
$2946
35.2 months
75%
80%
2
36d 5
63%
2d
18
11
88
66
$11350
22
Customer	
  
arrives	
  in	
  
branch
Branch	
  relevant	
  
Offers	
  are	
  
selected
Propensities	
  to	
  accept	
  are	
  
determined	
  in	
  order	
  to	
  sort	
  the	
  
Offers	
  to	
  their	
  customer	
  relevance	
  
based	
  upon	
  Customer	
  DNA
Product	
  and	
  Offer	
  
eligibility	
  is	
  evaluated	
  
based	
  on	
  Customer’s	
  
DNA
Personalization	
  of	
  top	
  Offers	
  
suggests	
  specific	
  actions	
  to	
  
be	
  taken	
  by	
  branch	
  manager
Offer	
  Personalization
Customer	
  specific	
  
reductions	
  on	
  Offer
Product(s)	
  related	
  to	
  
the	
  Offer
Action	
  to	
  take	
  towards	
  
Customer	
  (e.g.	
  call	
  up)
Lily	
  Customer	
  DNA	
  
e.g.	
  current	
  portfolio,	
  amount	
  spent	
  
per	
  month,	
  flag	
  salary	
  on	
  CA,	
  flag	
  
has	
  car	
  loan,	
  personal	
  product	
  
reductions,	
  recent	
  click	
  behavior
Car  Loan  Offer  1
Car  Loan  Offer  2        
100.00  
33.00  
27.00  Pension  Savings  Offer  2    
Offer                                         Propensity              
Overview	
  of	
  all	
  Offers	
  
and	
  their	
  constraints
Offer	
  and	
  Product	
  
constraints	
  overview
1 2 3
Trigger
Original	
  product	
  
price(s)
Case	
  Study
23
Keys	
  to	
  Mastering	
  Next	
  Best	
  Action
Go	
  From	
  Campaign/Segments	
  to	
  Individual	
  Interactions	
  
Incorporate	
  Behavioral	
  and	
  Contextual	
  Data	
  for	
  
Real-­‐time	
  Relevancy
Continuous	
  Scoring	
  – Always-­‐Available	
  Individual	
  Insights	
  
Bridge	
  the	
  Gap	
  Between	
  Data	
  Analytics	
  and	
  Business	
  Execution	
  
Flexible	
  Environment	
  – Allowing	
  Movement	
  to	
  Decision	
  and	
  Execution	
  
Without	
  Reliance	
  on	
  IT
24
Thank	
  you.	
  Any	
  questions?
NGDATA	
  helps	
  companies	
  in	
  data-­‐driven	
  
industries	
  operationalize	
  their	
  data	
  analytics	
  
through	
  our	
  real-­‐time,	
  analytics-­‐based	
  
customer	
  experience	
  management	
  solution,	
  
Lily	
  Enterprise™.	
  It	
  finds	
  insights	
  and	
  
executes	
  on	
  them,	
  bridging	
  the	
  gap	
  between	
  
the	
  worlds	
  of	
  data	
  and	
  business,	
  enabling	
  the	
  
delivery	
  of	
  timely,	
  relevant	
  and	
  contextually-­‐
aware	
  interactions	
  that	
  customers	
  embrace.
Connect	
  With	
  Us.	
  
Decision	
  Management	
  Solutions	
  specializes	
  
in	
  helping	
  organizations	
  build	
  decision-­‐
centric,	
  action-­‐oriented	
  systems	
  and	
  
processes	
  using	
  decision	
  management,	
  
business	
  rules,	
  and	
  advanced	
  analytic	
  
technologies.	
  We	
  offer	
  a	
  complete	
  set	
  of	
  
training,	
  consulting	
  and	
  decision	
  modeling	
  
software	
  to	
  help	
  you	
  build	
  your	
  decision	
  
management	
  capability.	
  
stevenn@NGDATA.com
www.NGDATA.com
james@decisionmanagementsolutions.com
www.decisionmanagementsolutions.com

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Building Outstanding Customer Relationships

  • 1. Building  Outstanding  Customer  Relationships Delivering  Relevant  Next  Best  Actions  for  Retail  Bank  Customers WEBINAR Steven  Noels,  CTO NGDATA James  Taylor,  CEO,   Decision  Management  Solutions
  • 4. 4 Maximizing  the  Value  Requires  Focus ACTION THE  RIGHT PERSON THE  RIGHT TIME THE  RIGHT CHANNEL THE  RIGHT
  • 5. 5 Next  Best  Action • 1:1  Marketing • Cross-­‐channel  Marketing • Markets  of  1 • Personalization • Right  Action • Right  Person • Right  Time • Right  Channel
  • 6. Decisions  Drive  Next  Best  Action
  • 7. 7 Optimizing  Every  Interaction  Requires  Decisions • What’s  the  next  best  action  for  this  customer? • What  channel  should  I  use  to  contact  them? • How  do  I  retain  this  customer? • Can  I  approve  this  customer’s  request? • What  will  make  this  customer  more  loyal? • Is  this  customer  valuable  enough  to  retain? • What’s  the  best  way  to  handle  this  problem? • Why  is  this  customer  calling? • …
  • 8. 8 Consistent  Decisions Decision Across  all  channels Customer-­‐centric
  • 9. 9 Precise  Decisions Replace  cookie-­‐cutter With:   • Localized • Personalized • Timely
  • 11. Technology  for  Next  Best  Action  Decisions
  • 12. 12 Next  Best  Action Decision  Management  Systems Agile Analytic Adaptive
  • 13. 13 Delivering  Next  Best  Action Decision Traditional New External ü ü Internal ü ü Analytically  enrich  it Make  Consistent,  Precise,  Real-­‐Time   Decisions  Across  All  Channels Learn  Continuously Start  with  customer  data Add  Policies,  Regulations Best  Practices  and  Preferences
  • 14. 14 Technology  Needs • Manage  Customer  Data o Structured  and  unstructured;  Internal  and  external • Build  Data-­‐Driven  Analytics o Customer-­‐level  understanding  -­‐ “segments  of  1” o Risk  and  response  predictions • Manage  Rules o Policies,  regulations,  best  practices  and  customer  preferences • Deploy  Decision-­‐Making o Consistent,  precise  real-­‐time  decisions  available  across  all  channels • Learn  and  adapt o Track  behavior  and  learn  over  time
  • 15. 15 From  Traditional  Marketing…  To  Next  Best  Action • Next  product • Campaign  targeting • Process-­‐centric,  batch • Web  analytics • A/B  Testing • Few  channels • Portfolio  level  analysis • Actions  not  just  offers • Offer  personalization • Real-­‐time  event/response   • Predictive  analytics • Adaptive  analytics • Many  channels  include  SoMoLo • Micro-­‐segmentation
  • 16. Next  Best  Action  is  a  Change   in  Focus  and  Technology
  • 17. 17 Value  for  All  Parties VALUE  FOR  CUSTOMERVALUE  FOR  COMPANY VALUE
  • 18. 18 Lily  Enterprise™:  The  Analytics  Revolution From  a  Manual  World  (Insights)  to  Operational  Analytics  (Impact) DATA INSIGHT BI  TEAMS BUSINESS ACTION ENGAGEMENT Ultimate  cross-­‐ channel  customer   recognition Personal   Customer   experiences Cross-­‐channel   (contextual)   experience Smarter media  buys Streaming  analytics   and  real-­‐time   interactions Real-­‐time  campaign   and  performance   optimization Relevant  Inbound   Offers  and  Actions  
  • 20. 20 Lily  Customer  DNA  Advantages Driving  Revenues:  Effectiveness  and  Efficiency No  more  time  lost  on   data  gathering  and   preparation Fully  integrated   and  automated   processes Data  is  always   complete  and  always   current Insights   immediately   turned  into  action Analysts  focus  on   higher  level  and   next  gen  analytics   x10  targeting   precision,  increasing   revenues  and  loyalty
  • 21. 21 Lily  Enterprise:  Defined Plugs  into  the  platform                              Platform  may  integrate  with  or  contain                              Platform  contains Real-­‐time integration Big  Data  Foundation Enterprise  Data  Management,  Governance,  Security Channel  applications Learn Continuous   Feedback External  Analytics   &  data  science   tools,  frameworks   and  services External   Dashboards Analytics   and  data  science   tools,  frameworks   and  services Insight-­‐driven  processes Dashboards Decision  and   management   logic Learn 35% 87% $124 $2946 35.2 months 75% 80% 2 36d 5 63% 2d 18 11 88 66 $11350
  • 22. 22 Customer   arrives  in   branch Branch  relevant   Offers  are   selected Propensities  to  accept  are   determined  in  order  to  sort  the   Offers  to  their  customer  relevance   based  upon  Customer  DNA Product  and  Offer   eligibility  is  evaluated   based  on  Customer’s   DNA Personalization  of  top  Offers   suggests  specific  actions  to   be  taken  by  branch  manager Offer  Personalization Customer  specific   reductions  on  Offer Product(s)  related  to   the  Offer Action  to  take  towards   Customer  (e.g.  call  up) Lily  Customer  DNA   e.g.  current  portfolio,  amount  spent   per  month,  flag  salary  on  CA,  flag   has  car  loan,  personal  product   reductions,  recent  click  behavior Car  Loan  Offer  1 Car  Loan  Offer  2         100.00   33.00   27.00  Pension  Savings  Offer  2     Offer                                         Propensity               Overview  of  all  Offers   and  their  constraints Offer  and  Product   constraints  overview 1 2 3 Trigger Original  product   price(s) Case  Study
  • 23. 23 Keys  to  Mastering  Next  Best  Action Go  From  Campaign/Segments  to  Individual  Interactions   Incorporate  Behavioral  and  Contextual  Data  for   Real-­‐time  Relevancy Continuous  Scoring  – Always-­‐Available  Individual  Insights   Bridge  the  Gap  Between  Data  Analytics  and  Business  Execution   Flexible  Environment  – Allowing  Movement  to  Decision  and  Execution   Without  Reliance  on  IT
  • 24. 24 Thank  you.  Any  questions? NGDATA  helps  companies  in  data-­‐driven   industries  operationalize  their  data  analytics   through  our  real-­‐time,  analytics-­‐based   customer  experience  management  solution,   Lily  Enterprise™.  It  finds  insights  and   executes  on  them,  bridging  the  gap  between   the  worlds  of  data  and  business,  enabling  the   delivery  of  timely,  relevant  and  contextually-­‐ aware  interactions  that  customers  embrace. Connect  With  Us.   Decision  Management  Solutions  specializes   in  helping  organizations  build  decision-­‐ centric,  action-­‐oriented  systems  and   processes  using  decision  management,   business  rules,  and  advanced  analytic   technologies.  We  offer  a  complete  set  of   training,  consulting  and  decision  modeling   software  to  help  you  build  your  decision   management  capability.   stevenn@NGDATA.com www.NGDATA.com james@decisionmanagementsolutions.com www.decisionmanagementsolutions.com