SlideShare a Scribd company logo
1 of 46
HOW WE DID THE   The Sad Case of
INVESTIGATIONS   StagnoBank – Part 2
Prelude – Part 2


This deck accompanies the
Sad Case of StagnoBank - Part 2 Video
at http://youtu.be/gd3397mfirQ

You find this case by searching with keywords
“BSI” “Teradata” “Case” and “StagnoBank”.

This deck is designed to answer questions about
the Teradata technologies shown in the story.

For best effect, run it in Powerpoint animation
mode.
2
Note from the Investigators

    Hi Everybody,

      We’re the brains behind the scenes and wanted to answer your
      questions about “how did you do the StagnoBank brainstorming
      so fast?”

      This write-up will give you an idea of our clients’ architecture
      and some details of the BI screens.

      Take a look, and if you still have questions, send them to us at
      the www.bsi-teradata.com FB page!

      Yours truly,

      Mercedes Marple and
      Jodice Blinco
3
Scene Synopsis


• Jodice‟s Office at BSI HQ – Simon explains the situation,
  shows Jodice KPIs and reports, and commissions the work
• Jodice kicks off the Project with Max, Mercedes, and Mathieu

4 Weeks Later

• BSI Conference Room – readout of ideas for Better
  Marketing (Max), Better Customer Service (Mercedes), and
  Mobile Apps (Matt)
• This deck show‟s Mercedes’ work – Part 2
• See also Part 1 for Max‟s ideas, and Part 3 for Matt‟s




4
Jodice Assigned Mercedes the Area of
Better Customer Service




5
A Little Background about StagnoBank
• Major European bank, established in the 1800s

• Major player up until 1960s when it fell out of favor with
  some consumers. Rebounded in the 1970s-1990s but now is
  again perceived as “old”, “stodgy”, “for older people”.

• As a consequence, growth has stalled or shrunk in many of
  the Lines of Business. Commercial banking is the best
  division, consumer banking the worst.

• With some new management, they have now invested in
  Teradata but have not yet started getting all the benefits
  they could. StagnoBank is intrigued, but does not yet
  understand, Aprimo and Teradata Aster technologies.

• New CMO, wants to shake things up!
6
Mercedes Initial Findings:
Poor Customer Service

• Mercedes‟ interviews and the data show that
  StagnoBank has been shunting even high-value
  customers to de-personalized channels, and
  when people do come in to a branch or call the
  care center, they aren‟t served that well:
   > long waits
   > lots of handoffs
   > repeated requests for the same information




• And when customers do get through, the customer service agent
  doesn‟t know enough context about the customer and what
  they‟re trying to do. Plus usually the customer service agent
  doesn‟t know much at all about the customer‟s relationship with
  the bank. All can be fixed!

7
Mercedes Runs BI on Contact Center Data
 Study: Wait and Talk Times with Agents

• Times are getting worse – average Call is 10+ minutes, of
  which Queue Wait Time is 6+ minutes. Overall trend is bad:




              Average Call Duration, in Minutes
 8
Contact Center – Call Drop Analysis

• And…you don‟t even see 22% of the calls, because people drop
  off before getting to the agent!




 9       % of Calls Dropped, by Stage of Call
Mercedes Drills Into A Typical Reason for
Account Closure
• People get really angry with extra fees, and call in after they
  get statements to ask for a Fee Reversal. For many, that‟s
  the last straw leading into Account Closure.

• To understand this, Mercedes used Aster Golden Path
  analysis for ATTRITION, instead of Marketing Product
  ACQUISITION (like Max did in Part 1), and saw that people
  touch many channels of the bank before they cancel
  Stagnobank accounts because of fee charges

• What she finds is that there are several paths which lead to
  Account Closure and frankly it is difficult for her to discern
  from all these paths which are the important paths that she
  should focus on.

10
Paths Showing All Events Preceding Account
Closure




11
Mercedes Drills Into Top 10 Reasons for
Account Closure

• Of the several paths that lead to account closure, Mercedes
  focuses on the paths containing the top 10 events.

• She does this by iterating through the previous Golden Path
  Analysis in the Teradata Aster platform, this time by
  narrowing the event types.

• This reveals a much more understandable set of patterns –
  which are the most frequently occurring before Account
  Closure.




12
Top 10 Events Preceding Account Closure




                                                                 Interactive Analytics
SELECT * FROM npath (
  ON (
     SELECT …
     WHERE u.event_description IN (
       SELECT aper.event FROM attrition_paths_event_rank aper

                                                                Reducing the “Noise” to
       ORDER BY aper.count DESC LIMIT 10)
     )
  …
  PATTERN ('(OTHER|EVENT){1,20}$')
  SYMBOLS (…) RESULT (…)                                           find the “Signal”
  )
) n;


   13
Mercedes Drills Into Typical Reasons for
Account Closure Yesterday

• Drilling further, and correlating with Care Center analysis she
  was doing, she finds that yesterday
     > 128 people called the Care Center angry about fees.
     > 3 of them ended up cancelling their accounts with the bank


• Mercedes used Aster to go back in time and see what those
  3 customers had done BEFORE they called the care center




14
“Fee Reversal Attrition”
Visualized with Tableau on Aster




Business Question(s) you can answer with Terdata Aster:
• Is there any identifiable pattern of behavior prior to account closure?
• If so, what does this pattern look like?

Remember: “It takes 3x more money to acquire a customer than to retain one.”
15
What You Could Do With This Information
• Knowing this, you could potentially use Active event
  technology at those upstream points to reduce the irritation
  that leads to defection. For example,
     > We know that the bank just charged them a fee. Maybe they
      saw it when they came to do web banking, or they just got a
      statement in the mail. They then bring this up on one of many
      channels. We could build –
       – A pop-over on a Teller screen so a Teller can waive the fee
       – A pop-over on a Web screen for the bank‟s internet site
       – An instant message on a mobile phone saying that because you are a
         loyal customer, the fee has been waived.
• Obviously, there are also customers who might not deserve
  a fee waiver. Again, you would know that by running
  Teradata Value Analyzer (TVA) or other BI analytics to study
  profitability of individual customers.
• Bottom line: StagnoBank can KNOW and TAKE ACTION
  to improve Customer Service
16
So What Did Mercedes Come Up With?




     Mercedes   “One and        Customized    Same agent
     Ideas      Done”           button        call routing
                screens for     pushes on the
                contact         Interactive
                center agents   Voice
                                Response




17
Mercedes‟ Big Idea Overview:
Connect the Contact Center to Teradata


Three parts to the Contact Center Improvements:
• Agents – All info on one screen for the agent, completely up to
  date (e.g., you were just on the mobile bank website). Much
  faster response times and no handoffs; “One and done” – one
  call, complete resolution!
• IVR – Interactive Voice Response – In many cases, if we know
  what you were doing, we can reconfigure the button pushes so
  the first button is the resolution to the most likely reason for
  calling
• ACD – Automatic Call Distributor - if you do need an agent,
  why not give you the same one each time if we can, someone
  around your same age, maybe?


18
Old Way of Call Handling (animated)
                                                       Any Agent
       Call
                  ACD
                                          Screen Pop
                 Monitor
                             Queue 1                             In-
                                                                House
                              Agent 1                           Agent
                              Agent 2
                              Agent 3
                                                                 At
IVR                                                             Home
                             Queue 2
                              Agent 1
                  ACD
                              Agent 2
                                                                 Off
                              Agent 3                           Shore
Same for All
Button Pushes
                             Too Many Places to Look for Info
              Same for All
  19
              Routing
Typical
Layout of
IVR Button
Options

Instead of
one-size-fits-a
ll button
pushes, we‟ll
dynamically
modify for
each caller,
based on their
behavior and
history

20
Typical Set of
 Software/
 Hardware Systems

 A message bus, with many
 different systems
 (including the Contact        Where
 Center) and its servers      Teradata
                               Could
                                Help
 Many silos of information
 about what the customer is
 doing – you need to
 consolidate!




21
New Way of Call Handling
  3 Ideas                                            Idea #3:
                                                     When Possible
       Call                                          I get MyBanker
                    ACD
                                        Screen Pop
                   Monitor
                              Queue 1                         In-
                                                             House
                              Agent 1                        Agent
                              Agent 2
                              Agent 3
                                                               At
IVR                                                           Home
                              Queue 2
                              Agent 1   Idea #1:
                    ACD                 All Relevant
Idea #2: Buttons              Agent 2
Customized                              Info on               Off
                              Agent 3   One Screen           Shore
For ME
                                        So Calls are
              Idea #3: Routing to       ONE and DONE
              Age-Appropriate Banker,
  22
              Same One as Before
Idea #1: Much Smarter Agent Screens

• All the information is on the first screen so an agent can
  quickly assimilate context (and it‟s active, so up to date)

• GOAL: All contextual info on One screen

• The goal is ONE AND DONE – when you have a problem, you
  make ONE call, and the agent has all the information so you
  can be DONE in one, fast call


     Here‟s an example of a mother who was just
     on the StagnoBank car loan page – because
     her son had an accident with the family car
     and she needs to buy a new one!

23
Idea #1: Better Contact Center Screens




                                                                                                                    <
                Customer View                             Renewals: 07/02/12              Acct Age: 7
                                                          Affinities: e-Nest3             Last order: 11/15/11
     Customer                                         X   Product links                   Last offer: B707
     Cheryl Wilkins
     68 Prairieville Circle                               Trigger        Personalized offers                    X

     Chicago, IL, 60614                                   Web-           I see you you’ve been looking at our
     312-264-5929                                         Loan           online car loan page. Based on your
     Customer Value score: 87                                            banking and credit history, we can
     Attrition score: 62                                                 approve the loan today over the
                                                                         phone and offer you custom terms
     Accounts
     Email           708009838228
                                                                         Did you know you were near your
     Household       CW2929@gmail.c                       Overdraft      overdraft limit last week? Would you
                       om
                       Joint account                                     like to discuss overdraft protection?
                                                  !

     Customer History                                 X

         Contact      Summary             Date                           My Sales Targets & Scores                      X

     Call Ctr       Inbound            01/29/12                  Offers Made               Sales       Approval
     email          Outbound     ! 01/18/12                 Target          Actual        $ Target     Handoffs




                                                                                                                 >
     <                                                                                                              >
     Call Ctr       Inbound            01/10/12                     75             63           81%                 12


24
How Did BSI Implement This?
• All modern contact center systems are built with screen
  rendering capabilities based on portlets.
     > In the previous screen, there are 4 portlets (sometimes also
       called servlets, accessing information in a variety of places).
     > This screen rendering engine is really no different from web
       rendering engines – they are usually based on SOA (Service
       Oriented Architecture) principles, with web service “callouts” to
       information sources

• One of those information sources can be Teradata, which in
  the previous example provided:
     > Customer Value score
     > Customer Probability of Attrition score
     > Customer History – the 360 degree view of all interactions
     > Various “Next Best Activities” and offers. We used Aprimo for
       this portlet, specifically a new engine called Aprimo Real Time
       Interaction Manager (ARTIM)
25
Idea #1: Better Contact Center Screens –
Here‟s an example from another Teradata client, in Telco




26
Another Idea (Not shown in the webisode)
• Going back to the Fee Attribution example, we could do
  some sophisticated analysis to highlight customers who are
  being hit with multiple fees. This segment of At-Risk
  Customers could then be used in active mode by the Contact
  Center and Marketing groups.
• Two additional Contact Center scenarios.
     > Inbound. When customers call in (for some other reason) we
       could have an add-on discussion with them about why they are
       incurring fees and perhaps guide them to banking products
       whereby they can avoid these. This might head off later
       defections, proactively. Information about this conversation
       would be part of the agent screen.
     > The other is that we could queue up outbound calls to selected
       customers, again proactively „touching‟ them before they get to
       the point of defection.



27
Mercedes‟ Idea #2: Intelligent IVR

Care Center IVR (button push system),
specific ordering of buttons for each customer
driven by Teradata insights

• Teradata BI is used to “anticipate” why you
  are calling
• We can be at least 80% accurate on the first
  button, 90% accurate on the first two          IVR


E.g., if you just deposited a check to an ATM,
the system infers that the first reason for
calling might be to see if the check has         Idea #2: Buttons
                                                 Customized
cleared and you can use the money, so that
                                                 For ME
would be Button Number “1”

28
Idea #2: Customized Buttons on the
Interactive Voice Response System

                           • Caller: Kim Maree
                           • Teradata knows: she deposited a check
                             from her trophy engraving business this
                             morning at an ATM


     80% of calls can be   Teradata system computes top probable
     handled by the        reasons for calling:
     Interactive Voice     • #1: “If you‟re calling to see if the check
     Response system!        for $1562.28 you deposited at 10:02 this
                             morning has cleared, press 1.”
                           • #2: “If you‟re calling about your work
                             direct deposit this week, press 2.”
                           • #3 “If you‟re calling about your Visa auto-
                             pay scheduled for tomorrow, press 3.”
                           • Buttons 4-9 as usual for general bank
                             services
29
Wow! How Did Mercedes Do This?
• StagnoBank has years and years of information about all the
  customer interactions. Until they bought Teradata, it wasn‟t
  all in one place – but now it is.
• Using standard BI tools, Mercedes took a stab at figuring out
  the sequencing of activities (just like the Fee reversal, except
  more generally). When people call the care center, what are
  they asking about?
• Do enough of these and you will see the patterns – then you
  can anticipate WHY someone is calling before they even say
  a word – and backmap that capability (and often the
  complete answer to their question) upstream to the IVR
  device.
• Like the contact center rendering engines, most IVR systems
  today have web service callout capability. One of those
  options is the sequence of button pushes, the audio to play,
  and the connection to make (including text-to-voice to play
  back current balances, for example)
30
Idea #2: Teradata drives the IVR buttons
Use BI to calculate the probabilities


• Capture customer events
  in the ADW
• Assign scores to customers             IVR Scores   IVR Port
  based on events
• Based on the scores create
                                                                 Overdraft
  alternate IVR Call Flows in             Check
                                          Deposit                  Fee
  IVR Designer
• When a new call comes,
  route the call to the            ATM#2952           $           Details
  appropriate call flow based
  on the score assigned
• This concept is called
  “Dynamic IVR”

31
How Teradata Works With the IVR
Use BI to calculate call-in probabilities


• Capture customer events
  in Teradata                       Teradata

• Assign probability scores
                                                   IVR Scores
  to customers based on
  recent events
• Based on the scores
  create alternate IVR Call     Button                    IVR Port
                                                                                Button
  Flows in IVR Designer         #1      Deposit
                                                                                   #2
                                                                           Overdraft

• When a new call comes,                Cleared?                             Fee?



  run the appropriate call    Channel   Amount     Data/time     Channel   Amount      Fee
  flow script based on the
  scores assigned
• This concept is called
  “Dynamic IVR”
32
Idea #3: You Usually Get the Same Agent


           ACD
          Monitor
                       Queue 1
                       Agent 1
                       Agent 2
                       Agent 3
                                 Idea #3:
                                 When Possible
                                 I get MyBanker




       Idea #3: Routing to
       Age-Appropriate Banker,
       Same One as Before
33
Idea #3: Teradata Drives the ACD to Connect
You to the Same Agent, If Available
• The Care Center Automatic Call Distributor, driven by
  Teradata, can connect you to same agent each time when
  possible – you get to talk to “your banker” instead of any
  random person
• Especially important when you‟re calling back in on the
  same day – you probably already spent the time to give
  someone the context of what‟s happening – you don‟t want
  to start over!
• Teradata can recognize your caller ID or account number
  and try to always connect you to the same agent if
  available, maybe even tell you the wait time
• If the person is not available, we can give the context on
  the care center screen to the agent who picks up
• Or give you the option to leave a message and that agent
  will call you back
34
Idea #3 - Web Service Callouts to the
Automatic Call Distributor - How This Works

                            • Use of web services
                              to integrate ACD
                              with ADW (knows
                              who “your usual
                              agent” is)

                            • Implementation of
                              rules in Teradata
                              Active System
                              Management to
                              make sure that Call
                              Center queries get
                              highest priority


35
Idea #3: How Teradata Works with the ACD
• Calculate scores (based on
  subscriber behavior, his
  most frequent agent etc.)
  in ADW for each customer
  and assign them values
  from 0 to n (n being the
  total number of queues)
• Give the subscriber the
  option of waiting “x”
  minutes before reaching his
  desired agent (who may be
  busy) or ask him to hang
  up and that particular agent
  can call him back. Or can
  select “any agent”
• The technology used is
  called “Virtual Hold”
36
New Way of Call Handling
  3 Ideas
                                                      Idea #3:
       Call

                    ACD
                                         Screen Pop
                   Monitor
                              Queue 1                         In-
                                                             House
                               Agent 1                       Agent
                               Agent 2
                               Agent 3
                                                                  At
IVR                                                              Home
                              Queue 2
                               Agent 1   Idea #1:
                     ACD                 All Francisco
Idea #2: Buttons               Agent 2
Customized                               Context on           Off
                               Agent 3   One Screen          Shore
For Francisco
                                         So Calls are
              Idea #3: Routing to        ONE and DONE
              Personal Banker Justin
  37
Putting It All Together
Francisco‟s Contact Center Screen




38
Mercedes‟ Ideas on Better Customer Service

• Which one would you vote for?

 Mercedes’     “One and        Customized    Same agent
 Ideas         Done”           button        call routing
               screens for     pushes on the
               contact         Interactive
               center agents   Voice
                               Response

                 Mercedes         Mercedes      Mercedes
                 #1               #2            #3




39
Vote for Mercedes!




40
Check Out Max‟s and Matt‟s Ideas, Too!
(StagnoBank Parts 1 and 3, on YouTube.com)


                3 - Matt:
                Consumer Apps,
                Alerts, Geo




                                     1 - Max:
                                     Better
                                     Marketing




41
Summary of Ideas From the BSI Team
(From all 3 areas) – See the other episodes!
     Max Ideas     Event-based      GoldenPath      Attribution
                   campaigns to     Analysis to     Analytics and
                   increase         increase        Digital
                   relevance        channel         Marketing
                                    effectiveness   Optimization

     Mercedes Ideas “One and        Customized    Same agent
                    Done”           button        call routing
                    screens for     pushes on the
                    contact         Interactive
                    center agents   Voice
                                    Response

     Matt Ideas    “Consumer     “My Bank           “Geospatial
                   Intelligence” Looks Out for      Apps” to
                   budget /      Me” alerts         drive
                   planning apps                    customer
                                                    education

42
For More Information about Teradata and
Active Contact Centers

     READ an overview of how Teradata can be
     used to help active the Contact Center:
     http://apps.teradata.com/tdmo/v07n01/pdf/ar5217.pdf




     WATCH this Teradata “Active Contact Center”
     video:
     http://www.teradata.com/demos/AEI-call-center/




43
For More Product Information

• If you‟re in the banking industry, you may want to look at
  Teradata offers at http://www.teradata.com/industry-
  expertise/financial-services/

• For more Teradata and Aster Data product information, see:
                        www.teradata.com,
                        www.asterdata.com
• A good attribution paper is “Integrated Marketing Management:
  Using Multi-Touch Attribution for Deeper Insight into the
  Customer Journey”

• For more information on Aprimo Relationship Manager, see:
        http://www.aprimo.com/Products_.aspx?id=2265

• For more information on Aprimo Real Time Interaction Manager,
      see: http://www.aprimo.com/Products_.aspx?id=2266

44
Other BSI Episodes???


You can find more episodes at www.bsi-teradata.com or on
YouTube (keywords: BSI Teradata Case):

     >   Case   of   the   Defecting Telco Customers
     >   Case   of   the   Misconnecting Passengers
     >   Case   of   the   Credit Card Breach
     >   Case   of   the   Retail Tweeters
     >   Case   of   the   Fragrant Sleeper Hit
     >   Case   of   the   Dropped Mobile Calls


Corresponding “How We Did It” PowerPoints are available, too,
at www.slideshare.net (keywords: “BSI” “Teradata” “Case”)


45
BEST BANKING DECISIONS POSSIBLE

More Related Content

More from Teradata

How to Use Algorithms to Scale Digital Business
How to Use Algorithms to Scale Digital BusinessHow to Use Algorithms to Scale Digital Business
How to Use Algorithms to Scale Digital BusinessTeradata
 
SENTIENT ENTERPRISE
SENTIENT ENTERPRISESENTIENT ENTERPRISE
SENTIENT ENTERPRISETeradata
 
What Does It Mean to Digitize a Company?
What Does It Mean to Digitize a Company?What Does It Mean to Digitize a Company?
What Does It Mean to Digitize a Company?Teradata
 
Teradata Listener™: Radically Simplify Big Data Streaming
Teradata Listener™: Radically Simplify Big Data StreamingTeradata Listener™: Radically Simplify Big Data Streaming
Teradata Listener™: Radically Simplify Big Data StreamingTeradata
 
It’s Not Enough to Just Collect Data
It’s Not Enough to Just Collect DataIt’s Not Enough to Just Collect Data
It’s Not Enough to Just Collect DataTeradata
 
Who’s Driving Your Brand: Navigating Today’s Confusing Customer Pathways & Ar...
Who’s Driving Your Brand: Navigating Today’s Confusing Customer Pathways & Ar...Who’s Driving Your Brand: Navigating Today’s Confusing Customer Pathways & Ar...
Who’s Driving Your Brand: Navigating Today’s Confusing Customer Pathways & Ar...Teradata
 
The Tools You Need to Build Relationships and Drive Revenue Checklist
The Tools You Need to Build Relationships and Drive Revenue Checklist The Tools You Need to Build Relationships and Drive Revenue Checklist
The Tools You Need to Build Relationships and Drive Revenue Checklist Teradata
 
Agile Marketing: How Companies Keep Pace in an Always-On World
Agile Marketing: How Companies Keep Pace in an Always-On World Agile Marketing: How Companies Keep Pace in an Always-On World
Agile Marketing: How Companies Keep Pace in an Always-On World Teradata
 
Right Message, Right Time: The Secrets to Scaling Email Success
Right Message, Right Time: The Secrets to Scaling Email Success Right Message, Right Time: The Secrets to Scaling Email Success
Right Message, Right Time: The Secrets to Scaling Email Success Teradata
 
A New Way of Thinking: Mobile Isn't Just a New Customer Channel
A New Way of Thinking: Mobile Isn't Just a New Customer ChannelA New Way of Thinking: Mobile Isn't Just a New Customer Channel
A New Way of Thinking: Mobile Isn't Just a New Customer ChannelTeradata
 
10 Ways to Jumpstart Your Data-Driven Marketing Efforts [Infographic]
10 Ways to Jumpstart Your Data-Driven Marketing Efforts [Infographic]10 Ways to Jumpstart Your Data-Driven Marketing Efforts [Infographic]
10 Ways to Jumpstart Your Data-Driven Marketing Efforts [Infographic]Teradata
 
Data-Driven Marketing Survey
Data-Driven Marketing SurveyData-Driven Marketing Survey
Data-Driven Marketing SurveyTeradata
 
Social Data at Work
Social Data at WorkSocial Data at Work
Social Data at WorkTeradata
 
Social Marketing: Insight and Response
Social Marketing: Insight and ResponseSocial Marketing: Insight and Response
Social Marketing: Insight and ResponseTeradata
 
Robust Analytics for Health Plans in an Era of Reform
Robust Analytics for Health Plans in an Era of ReformRobust Analytics for Health Plans in an Era of Reform
Robust Analytics for Health Plans in an Era of ReformTeradata
 
FRaCT Webinar Deck
FRaCT Webinar DeckFRaCT Webinar Deck
FRaCT Webinar DeckTeradata
 
Meeting Customers Where They Live
Meeting Customers Where They LiveMeeting Customers Where They Live
Meeting Customers Where They LiveTeradata
 
SAS and Teradata Analytic Superheroes
SAS and Teradata Analytic SuperheroesSAS and Teradata Analytic Superheroes
SAS and Teradata Analytic SuperheroesTeradata
 
Workflow Best Practices - DeVry University
Workflow Best Practices - DeVry UniversityWorkflow Best Practices - DeVry University
Workflow Best Practices - DeVry UniversityTeradata
 
Using Social Intelligence to Help Shape Customer Relationships & Drive ROI
Using Social Intelligence to Help Shape Customer Relationships & Drive ROIUsing Social Intelligence to Help Shape Customer Relationships & Drive ROI
Using Social Intelligence to Help Shape Customer Relationships & Drive ROITeradata
 

More from Teradata (20)

How to Use Algorithms to Scale Digital Business
How to Use Algorithms to Scale Digital BusinessHow to Use Algorithms to Scale Digital Business
How to Use Algorithms to Scale Digital Business
 
SENTIENT ENTERPRISE
SENTIENT ENTERPRISESENTIENT ENTERPRISE
SENTIENT ENTERPRISE
 
What Does It Mean to Digitize a Company?
What Does It Mean to Digitize a Company?What Does It Mean to Digitize a Company?
What Does It Mean to Digitize a Company?
 
Teradata Listener™: Radically Simplify Big Data Streaming
Teradata Listener™: Radically Simplify Big Data StreamingTeradata Listener™: Radically Simplify Big Data Streaming
Teradata Listener™: Radically Simplify Big Data Streaming
 
It’s Not Enough to Just Collect Data
It’s Not Enough to Just Collect DataIt’s Not Enough to Just Collect Data
It’s Not Enough to Just Collect Data
 
Who’s Driving Your Brand: Navigating Today’s Confusing Customer Pathways & Ar...
Who’s Driving Your Brand: Navigating Today’s Confusing Customer Pathways & Ar...Who’s Driving Your Brand: Navigating Today’s Confusing Customer Pathways & Ar...
Who’s Driving Your Brand: Navigating Today’s Confusing Customer Pathways & Ar...
 
The Tools You Need to Build Relationships and Drive Revenue Checklist
The Tools You Need to Build Relationships and Drive Revenue Checklist The Tools You Need to Build Relationships and Drive Revenue Checklist
The Tools You Need to Build Relationships and Drive Revenue Checklist
 
Agile Marketing: How Companies Keep Pace in an Always-On World
Agile Marketing: How Companies Keep Pace in an Always-On World Agile Marketing: How Companies Keep Pace in an Always-On World
Agile Marketing: How Companies Keep Pace in an Always-On World
 
Right Message, Right Time: The Secrets to Scaling Email Success
Right Message, Right Time: The Secrets to Scaling Email Success Right Message, Right Time: The Secrets to Scaling Email Success
Right Message, Right Time: The Secrets to Scaling Email Success
 
A New Way of Thinking: Mobile Isn't Just a New Customer Channel
A New Way of Thinking: Mobile Isn't Just a New Customer ChannelA New Way of Thinking: Mobile Isn't Just a New Customer Channel
A New Way of Thinking: Mobile Isn't Just a New Customer Channel
 
10 Ways to Jumpstart Your Data-Driven Marketing Efforts [Infographic]
10 Ways to Jumpstart Your Data-Driven Marketing Efforts [Infographic]10 Ways to Jumpstart Your Data-Driven Marketing Efforts [Infographic]
10 Ways to Jumpstart Your Data-Driven Marketing Efforts [Infographic]
 
Data-Driven Marketing Survey
Data-Driven Marketing SurveyData-Driven Marketing Survey
Data-Driven Marketing Survey
 
Social Data at Work
Social Data at WorkSocial Data at Work
Social Data at Work
 
Social Marketing: Insight and Response
Social Marketing: Insight and ResponseSocial Marketing: Insight and Response
Social Marketing: Insight and Response
 
Robust Analytics for Health Plans in an Era of Reform
Robust Analytics for Health Plans in an Era of ReformRobust Analytics for Health Plans in an Era of Reform
Robust Analytics for Health Plans in an Era of Reform
 
FRaCT Webinar Deck
FRaCT Webinar DeckFRaCT Webinar Deck
FRaCT Webinar Deck
 
Meeting Customers Where They Live
Meeting Customers Where They LiveMeeting Customers Where They Live
Meeting Customers Where They Live
 
SAS and Teradata Analytic Superheroes
SAS and Teradata Analytic SuperheroesSAS and Teradata Analytic Superheroes
SAS and Teradata Analytic Superheroes
 
Workflow Best Practices - DeVry University
Workflow Best Practices - DeVry UniversityWorkflow Best Practices - DeVry University
Workflow Best Practices - DeVry University
 
Using Social Intelligence to Help Shape Customer Relationships & Drive ROI
Using Social Intelligence to Help Shape Customer Relationships & Drive ROIUsing Social Intelligence to Help Shape Customer Relationships & Drive ROI
Using Social Intelligence to Help Shape Customer Relationships & Drive ROI
 

Recently uploaded

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobeapidays
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxRustici Software
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Victor Rentea
 
Cyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdfCyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdfOverkill Security
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Victor Rentea
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsNanddeep Nachan
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingEdi Saputra
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...apidays
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfOrbitshub
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businesspanagenda
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdfSandro Moreira
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesrafiqahmad00786416
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusZilliz
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodJuan lago vázquez
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...apidays
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024The Digital Insurer
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 

Recently uploaded (20)

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
Cyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdfCyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdf
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 

BSI -Part 2 - Better Customer Service - Sad Case of Stagno Bank - how we did it!

  • 1. HOW WE DID THE The Sad Case of INVESTIGATIONS StagnoBank – Part 2
  • 2. Prelude – Part 2 This deck accompanies the Sad Case of StagnoBank - Part 2 Video at http://youtu.be/gd3397mfirQ You find this case by searching with keywords “BSI” “Teradata” “Case” and “StagnoBank”. This deck is designed to answer questions about the Teradata technologies shown in the story. For best effect, run it in Powerpoint animation mode. 2
  • 3. Note from the Investigators Hi Everybody, We’re the brains behind the scenes and wanted to answer your questions about “how did you do the StagnoBank brainstorming so fast?” This write-up will give you an idea of our clients’ architecture and some details of the BI screens. Take a look, and if you still have questions, send them to us at the www.bsi-teradata.com FB page! Yours truly, Mercedes Marple and Jodice Blinco 3
  • 4. Scene Synopsis • Jodice‟s Office at BSI HQ – Simon explains the situation, shows Jodice KPIs and reports, and commissions the work • Jodice kicks off the Project with Max, Mercedes, and Mathieu 4 Weeks Later • BSI Conference Room – readout of ideas for Better Marketing (Max), Better Customer Service (Mercedes), and Mobile Apps (Matt) • This deck show‟s Mercedes’ work – Part 2 • See also Part 1 for Max‟s ideas, and Part 3 for Matt‟s 4
  • 5. Jodice Assigned Mercedes the Area of Better Customer Service 5
  • 6. A Little Background about StagnoBank • Major European bank, established in the 1800s • Major player up until 1960s when it fell out of favor with some consumers. Rebounded in the 1970s-1990s but now is again perceived as “old”, “stodgy”, “for older people”. • As a consequence, growth has stalled or shrunk in many of the Lines of Business. Commercial banking is the best division, consumer banking the worst. • With some new management, they have now invested in Teradata but have not yet started getting all the benefits they could. StagnoBank is intrigued, but does not yet understand, Aprimo and Teradata Aster technologies. • New CMO, wants to shake things up! 6
  • 7. Mercedes Initial Findings: Poor Customer Service • Mercedes‟ interviews and the data show that StagnoBank has been shunting even high-value customers to de-personalized channels, and when people do come in to a branch or call the care center, they aren‟t served that well: > long waits > lots of handoffs > repeated requests for the same information • And when customers do get through, the customer service agent doesn‟t know enough context about the customer and what they‟re trying to do. Plus usually the customer service agent doesn‟t know much at all about the customer‟s relationship with the bank. All can be fixed! 7
  • 8. Mercedes Runs BI on Contact Center Data Study: Wait and Talk Times with Agents • Times are getting worse – average Call is 10+ minutes, of which Queue Wait Time is 6+ minutes. Overall trend is bad: Average Call Duration, in Minutes 8
  • 9. Contact Center – Call Drop Analysis • And…you don‟t even see 22% of the calls, because people drop off before getting to the agent! 9 % of Calls Dropped, by Stage of Call
  • 10. Mercedes Drills Into A Typical Reason for Account Closure • People get really angry with extra fees, and call in after they get statements to ask for a Fee Reversal. For many, that‟s the last straw leading into Account Closure. • To understand this, Mercedes used Aster Golden Path analysis for ATTRITION, instead of Marketing Product ACQUISITION (like Max did in Part 1), and saw that people touch many channels of the bank before they cancel Stagnobank accounts because of fee charges • What she finds is that there are several paths which lead to Account Closure and frankly it is difficult for her to discern from all these paths which are the important paths that she should focus on. 10
  • 11. Paths Showing All Events Preceding Account Closure 11
  • 12. Mercedes Drills Into Top 10 Reasons for Account Closure • Of the several paths that lead to account closure, Mercedes focuses on the paths containing the top 10 events. • She does this by iterating through the previous Golden Path Analysis in the Teradata Aster platform, this time by narrowing the event types. • This reveals a much more understandable set of patterns – which are the most frequently occurring before Account Closure. 12
  • 13. Top 10 Events Preceding Account Closure Interactive Analytics SELECT * FROM npath ( ON ( SELECT … WHERE u.event_description IN ( SELECT aper.event FROM attrition_paths_event_rank aper Reducing the “Noise” to ORDER BY aper.count DESC LIMIT 10) ) … PATTERN ('(OTHER|EVENT){1,20}$') SYMBOLS (…) RESULT (…) find the “Signal” ) ) n; 13
  • 14. Mercedes Drills Into Typical Reasons for Account Closure Yesterday • Drilling further, and correlating with Care Center analysis she was doing, she finds that yesterday > 128 people called the Care Center angry about fees. > 3 of them ended up cancelling their accounts with the bank • Mercedes used Aster to go back in time and see what those 3 customers had done BEFORE they called the care center 14
  • 15. “Fee Reversal Attrition” Visualized with Tableau on Aster Business Question(s) you can answer with Terdata Aster: • Is there any identifiable pattern of behavior prior to account closure? • If so, what does this pattern look like? Remember: “It takes 3x more money to acquire a customer than to retain one.” 15
  • 16. What You Could Do With This Information • Knowing this, you could potentially use Active event technology at those upstream points to reduce the irritation that leads to defection. For example, > We know that the bank just charged them a fee. Maybe they saw it when they came to do web banking, or they just got a statement in the mail. They then bring this up on one of many channels. We could build – – A pop-over on a Teller screen so a Teller can waive the fee – A pop-over on a Web screen for the bank‟s internet site – An instant message on a mobile phone saying that because you are a loyal customer, the fee has been waived. • Obviously, there are also customers who might not deserve a fee waiver. Again, you would know that by running Teradata Value Analyzer (TVA) or other BI analytics to study profitability of individual customers. • Bottom line: StagnoBank can KNOW and TAKE ACTION to improve Customer Service 16
  • 17. So What Did Mercedes Come Up With? Mercedes “One and Customized Same agent Ideas Done” button call routing screens for pushes on the contact Interactive center agents Voice Response 17
  • 18. Mercedes‟ Big Idea Overview: Connect the Contact Center to Teradata Three parts to the Contact Center Improvements: • Agents – All info on one screen for the agent, completely up to date (e.g., you were just on the mobile bank website). Much faster response times and no handoffs; “One and done” – one call, complete resolution! • IVR – Interactive Voice Response – In many cases, if we know what you were doing, we can reconfigure the button pushes so the first button is the resolution to the most likely reason for calling • ACD – Automatic Call Distributor - if you do need an agent, why not give you the same one each time if we can, someone around your same age, maybe? 18
  • 19. Old Way of Call Handling (animated) Any Agent Call ACD Screen Pop Monitor Queue 1 In- House Agent 1 Agent Agent 2 Agent 3 At IVR Home Queue 2 Agent 1 ACD Agent 2 Off Agent 3 Shore Same for All Button Pushes Too Many Places to Look for Info Same for All 19 Routing
  • 20. Typical Layout of IVR Button Options Instead of one-size-fits-a ll button pushes, we‟ll dynamically modify for each caller, based on their behavior and history 20
  • 21. Typical Set of Software/ Hardware Systems A message bus, with many different systems (including the Contact Where Center) and its servers Teradata Could Help Many silos of information about what the customer is doing – you need to consolidate! 21
  • 22. New Way of Call Handling 3 Ideas Idea #3: When Possible Call I get MyBanker ACD Screen Pop Monitor Queue 1 In- House Agent 1 Agent Agent 2 Agent 3 At IVR Home Queue 2 Agent 1 Idea #1: ACD All Relevant Idea #2: Buttons Agent 2 Customized Info on Off Agent 3 One Screen Shore For ME So Calls are Idea #3: Routing to ONE and DONE Age-Appropriate Banker, 22 Same One as Before
  • 23. Idea #1: Much Smarter Agent Screens • All the information is on the first screen so an agent can quickly assimilate context (and it‟s active, so up to date) • GOAL: All contextual info on One screen • The goal is ONE AND DONE – when you have a problem, you make ONE call, and the agent has all the information so you can be DONE in one, fast call Here‟s an example of a mother who was just on the StagnoBank car loan page – because her son had an accident with the family car and she needs to buy a new one! 23
  • 24. Idea #1: Better Contact Center Screens < Customer View Renewals: 07/02/12 Acct Age: 7 Affinities: e-Nest3 Last order: 11/15/11 Customer X Product links Last offer: B707 Cheryl Wilkins 68 Prairieville Circle Trigger Personalized offers X Chicago, IL, 60614 Web- I see you you’ve been looking at our 312-264-5929 Loan online car loan page. Based on your Customer Value score: 87 banking and credit history, we can Attrition score: 62 approve the loan today over the phone and offer you custom terms Accounts Email 708009838228 Did you know you were near your Household CW2929@gmail.c Overdraft overdraft limit last week? Would you om Joint account like to discuss overdraft protection? ! Customer History X Contact Summary Date My Sales Targets & Scores X Call Ctr Inbound 01/29/12 Offers Made Sales Approval email Outbound ! 01/18/12 Target Actual $ Target Handoffs > < > Call Ctr Inbound 01/10/12 75 63 81% 12 24
  • 25. How Did BSI Implement This? • All modern contact center systems are built with screen rendering capabilities based on portlets. > In the previous screen, there are 4 portlets (sometimes also called servlets, accessing information in a variety of places). > This screen rendering engine is really no different from web rendering engines – they are usually based on SOA (Service Oriented Architecture) principles, with web service “callouts” to information sources • One of those information sources can be Teradata, which in the previous example provided: > Customer Value score > Customer Probability of Attrition score > Customer History – the 360 degree view of all interactions > Various “Next Best Activities” and offers. We used Aprimo for this portlet, specifically a new engine called Aprimo Real Time Interaction Manager (ARTIM) 25
  • 26. Idea #1: Better Contact Center Screens – Here‟s an example from another Teradata client, in Telco 26
  • 27. Another Idea (Not shown in the webisode) • Going back to the Fee Attribution example, we could do some sophisticated analysis to highlight customers who are being hit with multiple fees. This segment of At-Risk Customers could then be used in active mode by the Contact Center and Marketing groups. • Two additional Contact Center scenarios. > Inbound. When customers call in (for some other reason) we could have an add-on discussion with them about why they are incurring fees and perhaps guide them to banking products whereby they can avoid these. This might head off later defections, proactively. Information about this conversation would be part of the agent screen. > The other is that we could queue up outbound calls to selected customers, again proactively „touching‟ them before they get to the point of defection. 27
  • 28. Mercedes‟ Idea #2: Intelligent IVR Care Center IVR (button push system), specific ordering of buttons for each customer driven by Teradata insights • Teradata BI is used to “anticipate” why you are calling • We can be at least 80% accurate on the first button, 90% accurate on the first two IVR E.g., if you just deposited a check to an ATM, the system infers that the first reason for calling might be to see if the check has Idea #2: Buttons Customized cleared and you can use the money, so that For ME would be Button Number “1” 28
  • 29. Idea #2: Customized Buttons on the Interactive Voice Response System • Caller: Kim Maree • Teradata knows: she deposited a check from her trophy engraving business this morning at an ATM 80% of calls can be Teradata system computes top probable handled by the reasons for calling: Interactive Voice • #1: “If you‟re calling to see if the check Response system! for $1562.28 you deposited at 10:02 this morning has cleared, press 1.” • #2: “If you‟re calling about your work direct deposit this week, press 2.” • #3 “If you‟re calling about your Visa auto- pay scheduled for tomorrow, press 3.” • Buttons 4-9 as usual for general bank services 29
  • 30. Wow! How Did Mercedes Do This? • StagnoBank has years and years of information about all the customer interactions. Until they bought Teradata, it wasn‟t all in one place – but now it is. • Using standard BI tools, Mercedes took a stab at figuring out the sequencing of activities (just like the Fee reversal, except more generally). When people call the care center, what are they asking about? • Do enough of these and you will see the patterns – then you can anticipate WHY someone is calling before they even say a word – and backmap that capability (and often the complete answer to their question) upstream to the IVR device. • Like the contact center rendering engines, most IVR systems today have web service callout capability. One of those options is the sequence of button pushes, the audio to play, and the connection to make (including text-to-voice to play back current balances, for example) 30
  • 31. Idea #2: Teradata drives the IVR buttons Use BI to calculate the probabilities • Capture customer events in the ADW • Assign scores to customers IVR Scores IVR Port based on events • Based on the scores create Overdraft alternate IVR Call Flows in Check Deposit Fee IVR Designer • When a new call comes, route the call to the ATM#2952 $ Details appropriate call flow based on the score assigned • This concept is called “Dynamic IVR” 31
  • 32. How Teradata Works With the IVR Use BI to calculate call-in probabilities • Capture customer events in Teradata Teradata • Assign probability scores IVR Scores to customers based on recent events • Based on the scores create alternate IVR Call Button IVR Port Button Flows in IVR Designer #1 Deposit #2 Overdraft • When a new call comes, Cleared? Fee? run the appropriate call Channel Amount Data/time Channel Amount Fee flow script based on the scores assigned • This concept is called “Dynamic IVR” 32
  • 33. Idea #3: You Usually Get the Same Agent ACD Monitor Queue 1 Agent 1 Agent 2 Agent 3 Idea #3: When Possible I get MyBanker Idea #3: Routing to Age-Appropriate Banker, Same One as Before 33
  • 34. Idea #3: Teradata Drives the ACD to Connect You to the Same Agent, If Available • The Care Center Automatic Call Distributor, driven by Teradata, can connect you to same agent each time when possible – you get to talk to “your banker” instead of any random person • Especially important when you‟re calling back in on the same day – you probably already spent the time to give someone the context of what‟s happening – you don‟t want to start over! • Teradata can recognize your caller ID or account number and try to always connect you to the same agent if available, maybe even tell you the wait time • If the person is not available, we can give the context on the care center screen to the agent who picks up • Or give you the option to leave a message and that agent will call you back 34
  • 35. Idea #3 - Web Service Callouts to the Automatic Call Distributor - How This Works • Use of web services to integrate ACD with ADW (knows who “your usual agent” is) • Implementation of rules in Teradata Active System Management to make sure that Call Center queries get highest priority 35
  • 36. Idea #3: How Teradata Works with the ACD • Calculate scores (based on subscriber behavior, his most frequent agent etc.) in ADW for each customer and assign them values from 0 to n (n being the total number of queues) • Give the subscriber the option of waiting “x” minutes before reaching his desired agent (who may be busy) or ask him to hang up and that particular agent can call him back. Or can select “any agent” • The technology used is called “Virtual Hold” 36
  • 37. New Way of Call Handling 3 Ideas Idea #3: Call ACD Screen Pop Monitor Queue 1 In- House Agent 1 Agent Agent 2 Agent 3 At IVR Home Queue 2 Agent 1 Idea #1: ACD All Francisco Idea #2: Buttons Agent 2 Customized Context on Off Agent 3 One Screen Shore For Francisco So Calls are Idea #3: Routing to ONE and DONE Personal Banker Justin 37
  • 38. Putting It All Together Francisco‟s Contact Center Screen 38
  • 39. Mercedes‟ Ideas on Better Customer Service • Which one would you vote for? Mercedes’ “One and Customized Same agent Ideas Done” button call routing screens for pushes on the contact Interactive center agents Voice Response Mercedes Mercedes Mercedes #1 #2 #3 39
  • 41. Check Out Max‟s and Matt‟s Ideas, Too! (StagnoBank Parts 1 and 3, on YouTube.com) 3 - Matt: Consumer Apps, Alerts, Geo 1 - Max: Better Marketing 41
  • 42. Summary of Ideas From the BSI Team (From all 3 areas) – See the other episodes! Max Ideas Event-based GoldenPath Attribution campaigns to Analysis to Analytics and increase increase Digital relevance channel Marketing effectiveness Optimization Mercedes Ideas “One and Customized Same agent Done” button call routing screens for pushes on the contact Interactive center agents Voice Response Matt Ideas “Consumer “My Bank “Geospatial Intelligence” Looks Out for Apps” to budget / Me” alerts drive planning apps customer education 42
  • 43. For More Information about Teradata and Active Contact Centers READ an overview of how Teradata can be used to help active the Contact Center: http://apps.teradata.com/tdmo/v07n01/pdf/ar5217.pdf WATCH this Teradata “Active Contact Center” video: http://www.teradata.com/demos/AEI-call-center/ 43
  • 44. For More Product Information • If you‟re in the banking industry, you may want to look at Teradata offers at http://www.teradata.com/industry- expertise/financial-services/ • For more Teradata and Aster Data product information, see: www.teradata.com, www.asterdata.com • A good attribution paper is “Integrated Marketing Management: Using Multi-Touch Attribution for Deeper Insight into the Customer Journey” • For more information on Aprimo Relationship Manager, see: http://www.aprimo.com/Products_.aspx?id=2265 • For more information on Aprimo Real Time Interaction Manager, see: http://www.aprimo.com/Products_.aspx?id=2266 44
  • 45. Other BSI Episodes??? You can find more episodes at www.bsi-teradata.com or on YouTube (keywords: BSI Teradata Case): > Case of the Defecting Telco Customers > Case of the Misconnecting Passengers > Case of the Credit Card Breach > Case of the Retail Tweeters > Case of the Fragrant Sleeper Hit > Case of the Dropped Mobile Calls Corresponding “How We Did It” PowerPoints are available, too, at www.slideshare.net (keywords: “BSI” “Teradata” “Case”) 45