SlideShare une entreprise Scribd logo
1  sur  3
Télécharger pour lire hors ligne
You might also want to read this…..
You already have the data
If you work in a bank, chances are, you know that your bank will produce a report for central bank. As
one of highly regulated industry, this has been a mandatory.
If you work in an international bank, chances are, your bank already have data warehouse. You know,
where you store all those data extracted from your core-banking.
What if I told you, with the magic of computer and statistic, you can predict your next customer’s
needs?
What if I told you, you could also set different price for different customer profile within the same
product range?
What if I told you, you could also be warned, if certain customer deviate from their profile? It’s not
always a bad thing, if your customer needs product different than the product usually needs/used by
similar customer within their profile. No system could decide whether this is a good or bad thing, but it’s
nice to have an early warning system.
What if I told you, you could make an educated guess, cross selling and offer other products than what’s
your customer asked? Again by looking at your existing customer within the same profile.
You already have the data, at least your bank has it. You just don’t make it work harder for you, yet.
Typically it’s ‘only’ been used for ad-hoc query or reports.
With all those intelligence in the system, do we still needs sales force?
What if I told you, you could leave all those soft selling to your front liners? And leave the hard selling to
your sales force.
If you ever been to Amazon.com site you’ll be familiar with these
Where the site would intelligently offer similar title based on what you currently looking at.
Let’s see another example at imdb.com
based on what movie you currently looking, it will make an educated guess what you would also like.
If you are an IT or MIS guy then you know that this is just a simple query using predefined categories
which accessed large database and comes up with most relevant result.
Why it could be useful in banking?
Working in a bank with many branches spread around the area would make us forget to think about our
presence, because everybody already knows we’re here. Having your presence is not enough in this fast
paced economy driven by mobile devices connected to the internet. You got to grab the opportunities,
that’s why the word monetizing becomes the buzzword at the business in general. If you have large
database of active clients, wouldn’t you want to serve them better by giving them what they MIGHT
need before they could think of? The word is cross-selling, by offering relevant possible products based
on the behavior of the similar client profile in your database.
Okay, you’re not so lucky, you work in a foreign bank with not-so-many branch scattered around the
area. Wouldn’t it be nice to increase your presence? Opening a new branch is a hassle (not to mention
serious dent in your budget). Why not just open a branchless banking, where people could open an
account as easy as opening new email account? Of course a lot of preparations needs to be done here
with legal, compliance and risk management issue that may rise doing so. Just remember to tell your
prospective client to have their softcopy identification ready at the time they wish to open an account
(maybe just put them in the pipeline until they submit their identification at the branch if you prefer, but
that would lessen the impact).
No matter what bank you are currently work, wouldn’t it be nice to set up your bank’s website to
include this friendly query? Or in a standalone machine, atm-like, where people could open an account,
browsing for (any) service or simply do a banking transaction with their existing account.
Now that I’ve got your attention
What if you could set up different price for different client within the same product? Nah, we already
done that with our corporate clients. That’s exactly true! Why not doing the same with your thousands
of saving account clients, credit card holders? Are you crazy? The benefit is not big enough to justify the
effort of even thinking it! Allow me to explain, your existing database contains individual clients, which
could contribute to scoring model (risk management has done this for a while now, to determine
whether to grant or deny request of new credit card) to determine the risk level of your new client,
based on your existing database, and offer the price accordingly.
In theory, it goes like this, you have two personal loan clients (both are good clients, we’re not talking
about bad ones here, yet) they receive same 2% monthly interest. What if client A actually willing to
accept up to 2.4% while client B is not happy with 2% and currently shopping for 1.9% interest. What if
you missed the opportunity from client A, and loose client B, by giving them one price fits all?
Another example, you have a walk in client, who simply want to open saving account, as soon as your
frontliner enter the data, as soon as he/she enter the data query result pops up, showing what other
products enjoyed by existing clients with similar profiles. Could this also work with investment banking
products? Well, yes, but just like corporate clients’ case, the profit is too big to be ‘handled’ by system, I
guess. Now, at least you could leave those cross-selling to your frontliners assisted by the system, and
let your sales force chase the big deal.

Contenu connexe

Plus de Yudy Yunardy

Budidaya tanaman dirumah ver. 1.0
Budidaya tanaman dirumah ver. 1.0Budidaya tanaman dirumah ver. 1.0
Budidaya tanaman dirumah ver. 1.0Yudy Yunardy
 
Hospital management system
Hospital management systemHospital management system
Hospital management systemYudy Yunardy
 
Bank soal uts pengantar perbankan
Bank soal uts pengantar perbankanBank soal uts pengantar perbankan
Bank soal uts pengantar perbankanYudy Yunardy
 
International trade course 5
International trade course 5International trade course 5
International trade course 5Yudy Yunardy
 
Introduction to banking course 5
Introduction to banking course 5Introduction to banking course 5
Introduction to banking course 5Yudy Yunardy
 
International trade course 4
International trade course 4International trade course 4
International trade course 4Yudy Yunardy
 
Introduction to banking course 4
Introduction to banking course 4Introduction to banking course 4
Introduction to banking course 4Yudy Yunardy
 
International trade course 3
International trade course 3International trade course 3
International trade course 3Yudy Yunardy
 
Introduction to banking course 3
Introduction to banking course 3Introduction to banking course 3
Introduction to banking course 3Yudy Yunardy
 
International trade course 2
International trade course 2International trade course 2
International trade course 2Yudy Yunardy
 
Introduction to banking course 2
Introduction to banking course 2Introduction to banking course 2
Introduction to banking course 2Yudy Yunardy
 
International trade
International tradeInternational trade
International tradeYudy Yunardy
 
Introduction to banking
Introduction to bankingIntroduction to banking
Introduction to bankingYudy Yunardy
 
Introduction to International Trade
Introduction to International TradeIntroduction to International Trade
Introduction to International TradeYudy Yunardy
 
Micro Core-banking Simulation
Micro Core-banking SimulationMicro Core-banking Simulation
Micro Core-banking SimulationYudy Yunardy
 
Thesis Journal - ANALISIS PENGARUH INFLASI, NILAI TUKAR, ROA, DER DAN CAR TE...
Thesis Journal - ANALISIS PENGARUH INFLASI, NILAI TUKAR, ROA,  DER DAN CAR TE...Thesis Journal - ANALISIS PENGARUH INFLASI, NILAI TUKAR, ROA,  DER DAN CAR TE...
Thesis Journal - ANALISIS PENGARUH INFLASI, NILAI TUKAR, ROA, DER DAN CAR TE...Yudy Yunardy
 
Trade Finance Identification of Needs and Product Offerings
Trade Finance Identification of Needs and Product OfferingsTrade Finance Identification of Needs and Product Offerings
Trade Finance Identification of Needs and Product OfferingsYudy Yunardy
 

Plus de Yudy Yunardy (20)

Budidaya tanaman dirumah ver. 1.0
Budidaya tanaman dirumah ver. 1.0Budidaya tanaman dirumah ver. 1.0
Budidaya tanaman dirumah ver. 1.0
 
You're not ready
You're not readyYou're not ready
You're not ready
 
Hospital management system
Hospital management systemHospital management system
Hospital management system
 
Bank soal uts pengantar perbankan
Bank soal uts pengantar perbankanBank soal uts pengantar perbankan
Bank soal uts pengantar perbankan
 
International trade course 5
International trade course 5International trade course 5
International trade course 5
 
Introduction to banking course 5
Introduction to banking course 5Introduction to banking course 5
Introduction to banking course 5
 
International trade course 4
International trade course 4International trade course 4
International trade course 4
 
Introduction to banking course 4
Introduction to banking course 4Introduction to banking course 4
Introduction to banking course 4
 
International trade course 3
International trade course 3International trade course 3
International trade course 3
 
Introduction to banking course 3
Introduction to banking course 3Introduction to banking course 3
Introduction to banking course 3
 
Working in bank
Working in bankWorking in bank
Working in bank
 
International trade course 2
International trade course 2International trade course 2
International trade course 2
 
Introduction to banking course 2
Introduction to banking course 2Introduction to banking course 2
Introduction to banking course 2
 
International trade
International tradeInternational trade
International trade
 
Introduction to banking
Introduction to bankingIntroduction to banking
Introduction to banking
 
Introduction to International Trade
Introduction to International TradeIntroduction to International Trade
Introduction to International Trade
 
Micro Core-banking Simulation
Micro Core-banking SimulationMicro Core-banking Simulation
Micro Core-banking Simulation
 
Thesis Journal - ANALISIS PENGARUH INFLASI, NILAI TUKAR, ROA, DER DAN CAR TE...
Thesis Journal - ANALISIS PENGARUH INFLASI, NILAI TUKAR, ROA,  DER DAN CAR TE...Thesis Journal - ANALISIS PENGARUH INFLASI, NILAI TUKAR, ROA,  DER DAN CAR TE...
Thesis Journal - ANALISIS PENGARUH INFLASI, NILAI TUKAR, ROA, DER DAN CAR TE...
 
Trade Finance Identification of Needs and Product Offerings
Trade Finance Identification of Needs and Product OfferingsTrade Finance Identification of Needs and Product Offerings
Trade Finance Identification of Needs and Product Offerings
 
IT and marketing
IT and marketingIT and marketing
IT and marketing
 

Dernier

Kenya’s Coconut Value Chain by Gatsby Africa
Kenya’s Coconut Value Chain by Gatsby AfricaKenya’s Coconut Value Chain by Gatsby Africa
Kenya’s Coconut Value Chain by Gatsby Africaictsugar
 
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCRashishs7044
 
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607(Best) ENJOY Call Girls in Faridabad Ex | 8377087607
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607dollysharma2066
 
Call Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / Ncr
Call Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / NcrCall Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / Ncr
Call Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / Ncrdollysharma2066
 
Future Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionFuture Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionMintel Group
 
Case study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailCase study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailAriel592675
 
Innovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdfInnovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdfrichard876048
 
Organizational Structure Running A Successful Business
Organizational Structure Running A Successful BusinessOrganizational Structure Running A Successful Business
Organizational Structure Running A Successful BusinessSeta Wicaksana
 
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...ictsugar
 
Memorándum de Entendimiento (MoU) entre Codelco y SQM
Memorándum de Entendimiento (MoU) entre Codelco y SQMMemorándum de Entendimiento (MoU) entre Codelco y SQM
Memorándum de Entendimiento (MoU) entre Codelco y SQMVoces Mineras
 
MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?Olivia Kresic
 
2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis Usage2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis UsageNeil Kimberley
 
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City GurgaonCall Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaoncallgirls2057
 
Contemporary Economic Issues Facing the Filipino Entrepreneur (1).pptx
Contemporary Economic Issues Facing the Filipino Entrepreneur (1).pptxContemporary Economic Issues Facing the Filipino Entrepreneur (1).pptx
Contemporary Economic Issues Facing the Filipino Entrepreneur (1).pptxMarkAnthonyAurellano
 
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu MenzaYouth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu Menzaictsugar
 
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCRashishs7044
 
8447779800, Low rate Call girls in Shivaji Enclave Delhi NCR
8447779800, Low rate Call girls in Shivaji Enclave Delhi NCR8447779800, Low rate Call girls in Shivaji Enclave Delhi NCR
8447779800, Low rate Call girls in Shivaji Enclave Delhi NCRashishs7044
 

Dernier (20)

Kenya’s Coconut Value Chain by Gatsby Africa
Kenya’s Coconut Value Chain by Gatsby AfricaKenya’s Coconut Value Chain by Gatsby Africa
Kenya’s Coconut Value Chain by Gatsby Africa
 
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
 
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607(Best) ENJOY Call Girls in Faridabad Ex | 8377087607
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607
 
No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...
No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...
No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...
 
Call Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / Ncr
Call Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / NcrCall Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / Ncr
Call Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / Ncr
 
Future Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionFuture Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted Version
 
Case study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailCase study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detail
 
Innovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdfInnovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdf
 
Organizational Structure Running A Successful Business
Organizational Structure Running A Successful BusinessOrganizational Structure Running A Successful Business
Organizational Structure Running A Successful Business
 
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...
 
Memorándum de Entendimiento (MoU) entre Codelco y SQM
Memorándum de Entendimiento (MoU) entre Codelco y SQMMemorándum de Entendimiento (MoU) entre Codelco y SQM
Memorándum de Entendimiento (MoU) entre Codelco y SQM
 
MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?
 
Enjoy ➥8448380779▻ Call Girls In Sector 18 Noida Escorts Delhi NCR
Enjoy ➥8448380779▻ Call Girls In Sector 18 Noida Escorts Delhi NCREnjoy ➥8448380779▻ Call Girls In Sector 18 Noida Escorts Delhi NCR
Enjoy ➥8448380779▻ Call Girls In Sector 18 Noida Escorts Delhi NCR
 
Japan IT Week 2024 Brochure by 47Billion (English)
Japan IT Week 2024 Brochure by 47Billion (English)Japan IT Week 2024 Brochure by 47Billion (English)
Japan IT Week 2024 Brochure by 47Billion (English)
 
2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis Usage2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis Usage
 
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City GurgaonCall Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaon
 
Contemporary Economic Issues Facing the Filipino Entrepreneur (1).pptx
Contemporary Economic Issues Facing the Filipino Entrepreneur (1).pptxContemporary Economic Issues Facing the Filipino Entrepreneur (1).pptx
Contemporary Economic Issues Facing the Filipino Entrepreneur (1).pptx
 
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu MenzaYouth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
 
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
 
8447779800, Low rate Call girls in Shivaji Enclave Delhi NCR
8447779800, Low rate Call girls in Shivaji Enclave Delhi NCR8447779800, Low rate Call girls in Shivaji Enclave Delhi NCR
8447779800, Low rate Call girls in Shivaji Enclave Delhi NCR
 

You might also want to read this

  • 1. You might also want to read this….. You already have the data If you work in a bank, chances are, you know that your bank will produce a report for central bank. As one of highly regulated industry, this has been a mandatory. If you work in an international bank, chances are, your bank already have data warehouse. You know, where you store all those data extracted from your core-banking. What if I told you, with the magic of computer and statistic, you can predict your next customer’s needs? What if I told you, you could also set different price for different customer profile within the same product range? What if I told you, you could also be warned, if certain customer deviate from their profile? It’s not always a bad thing, if your customer needs product different than the product usually needs/used by similar customer within their profile. No system could decide whether this is a good or bad thing, but it’s nice to have an early warning system. What if I told you, you could make an educated guess, cross selling and offer other products than what’s your customer asked? Again by looking at your existing customer within the same profile. You already have the data, at least your bank has it. You just don’t make it work harder for you, yet. Typically it’s ‘only’ been used for ad-hoc query or reports. With all those intelligence in the system, do we still needs sales force? What if I told you, you could leave all those soft selling to your front liners? And leave the hard selling to your sales force. If you ever been to Amazon.com site you’ll be familiar with these Where the site would intelligently offer similar title based on what you currently looking at.
  • 2. Let’s see another example at imdb.com based on what movie you currently looking, it will make an educated guess what you would also like. If you are an IT or MIS guy then you know that this is just a simple query using predefined categories which accessed large database and comes up with most relevant result. Why it could be useful in banking? Working in a bank with many branches spread around the area would make us forget to think about our presence, because everybody already knows we’re here. Having your presence is not enough in this fast paced economy driven by mobile devices connected to the internet. You got to grab the opportunities, that’s why the word monetizing becomes the buzzword at the business in general. If you have large database of active clients, wouldn’t you want to serve them better by giving them what they MIGHT need before they could think of? The word is cross-selling, by offering relevant possible products based on the behavior of the similar client profile in your database. Okay, you’re not so lucky, you work in a foreign bank with not-so-many branch scattered around the area. Wouldn’t it be nice to increase your presence? Opening a new branch is a hassle (not to mention serious dent in your budget). Why not just open a branchless banking, where people could open an account as easy as opening new email account? Of course a lot of preparations needs to be done here with legal, compliance and risk management issue that may rise doing so. Just remember to tell your prospective client to have their softcopy identification ready at the time they wish to open an account (maybe just put them in the pipeline until they submit their identification at the branch if you prefer, but that would lessen the impact). No matter what bank you are currently work, wouldn’t it be nice to set up your bank’s website to include this friendly query? Or in a standalone machine, atm-like, where people could open an account, browsing for (any) service or simply do a banking transaction with their existing account. Now that I’ve got your attention
  • 3. What if you could set up different price for different client within the same product? Nah, we already done that with our corporate clients. That’s exactly true! Why not doing the same with your thousands of saving account clients, credit card holders? Are you crazy? The benefit is not big enough to justify the effort of even thinking it! Allow me to explain, your existing database contains individual clients, which could contribute to scoring model (risk management has done this for a while now, to determine whether to grant or deny request of new credit card) to determine the risk level of your new client, based on your existing database, and offer the price accordingly. In theory, it goes like this, you have two personal loan clients (both are good clients, we’re not talking about bad ones here, yet) they receive same 2% monthly interest. What if client A actually willing to accept up to 2.4% while client B is not happy with 2% and currently shopping for 1.9% interest. What if you missed the opportunity from client A, and loose client B, by giving them one price fits all? Another example, you have a walk in client, who simply want to open saving account, as soon as your frontliner enter the data, as soon as he/she enter the data query result pops up, showing what other products enjoyed by existing clients with similar profiles. Could this also work with investment banking products? Well, yes, but just like corporate clients’ case, the profit is too big to be ‘handled’ by system, I guess. Now, at least you could leave those cross-selling to your frontliners assisted by the system, and let your sales force chase the big deal.