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DiBa - Data Challenge Bart Buter, Data Engineering / International Advanced Analytics ING-DiBa AG Goethe Universität Frankfurt • 27. Okt 2016

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ING Orange

RGB= 255, 98, 0

ING Light Grey

RGB= 168, 168, 168

ING Indigo

RGB= 82, 81, 153

ING Sky

RGB= 96, 166, 218

Colour Guidelines

ING Fuchsia

RGB= 171, 0, 102

ING Lime

RGB= 208, 217, 60

ING Leaf

RGB= 52, 150, 81

ING Mid Grey

RGB= 118, 118, 118

Text Colour

RGB= 51, 51, 51

DiBa - Data Challenge

Bart Buter, Data Engineering / International Advanced Analytics

ING-DiBa AG

Goethe Universität Frankfurt • 27. Okt 2016

ING Orange

RGB= 255, 98, 0

ING Light Grey

RGB= 168, 168, 168

ING Indigo

RGB= 82, 81, 153

ING Sky

RGB= 96, 166, 218

Colour Guidelines

ING Fuchsia

RGB= 171, 0, 102

ING Lime

RGB= 208, 217, 60

ING Leaf

RGB= 52, 150, 81

ING Mid Grey

RGB= 118, 118, 118

Text Colour

RGB= 51, 51, 51

No content below the grey line

1. ING-DiBa Kurzprofil

2. Data Challenges

3. Organisation & Rules

2

Inhaltsübersicht

ING Orange

RGB= 255, 98, 0

ING Light Grey

RGB= 168, 168, 168

ING Indigo

RGB= 82, 81, 153

ING Sky

RGB= 96, 166, 218

Colour Guidelines

ING Fuchsia

RGB= 171, 0, 102

ING Lime

RGB= 208, 217, 60

ING Leaf

RGB= 52, 150, 81

ING Mid Grey

RGB= 118, 118, 118

Text Colour

RGB= 51, 51, 51

No content below the grey line

3

Die ING-DiBa an einem Tag

20.000 Anrufe im Kundendialog

4.300 Kontakte in der Immobilien- finanzierung

2.500 Email- Eingänge pro Tag im Kundendialog

5,2 Mio. Seiten- aufrufe im Internet

400.000 Logins im Internetbanking & Brokerage

50.000 Vorgänge im Dokumenten Service

29.000 Abhebungen an den 1.200 ING-DiBa Geldautomaten

160.000 Zugriffe Mobile Banking App

ING Orange

RGB= 255, 98, 0

ING Light Grey

RGB= 168, 168, 168

ING Indigo

RGB= 82, 81, 153

ING Sky

RGB= 96, 166, 218

Colour Guidelines

ING Fuchsia

RGB= 171, 0, 102

ING Lime

RGB= 208, 217, 60

ING Leaf

RGB= 52, 150, 81

ING Mid Grey

RGB= 118, 118, 118

Text Colour

RGB= 51, 51, 51

No content below the grey line

Mehr als Länder in Europa, Nord Amerika, Lateinamerika, Asien und Australien

Mehr als Millionen private, Firmen- und institutionelle Kunden

4

ING in Europa und weltweit

ING in Europa

Marktführer Benelux

Herausforderer

Wachstumsmärkte

Ausschließlich Wholesale Banking

34

40

Mehr als Mitarbeiter

54.000

ING weltweit

ING Orange

RGB= 255, 98, 0

ING Light Grey

RGB= 168, 168, 168

ING Indigo

RGB= 82, 81, 153

ING Sky

RGB= 96, 166, 218

Colour Guidelines

ING Fuchsia

RGB= 171, 0, 102

ING Lime

RGB= 208, 217, 60

ING Leaf

RGB= 52, 150, 81

ING Mid Grey

RGB= 118, 118, 118

Text Colour

RGB= 51, 51, 51

No content below the grey line

Wir wollen „Digital Leader“ in der Finanzbranche sein.

5

Legitimation von zu Hause aus

Videolegitimation Fotoüberweisung und Dokumenten- Upload

Rechnungen und Dokumente per Kamera einscannen und direkt über- weisen oder ein- reichen

Kreditwunsch mobil prüfen

Mobiler Kreditcheck

SmartSecure App Fingerabdruck ersetzt TAN

„Die Filiale der Zukunft haben viele Kunden

schon heute jederzeit und überall in der

Hosentasche dabei: das Smartphone“

ING Orange

RGB= 255, 98, 0

ING Light Grey

RGB= 168, 168, 168

ING Indigo

RGB= 82, 81, 153

ING Sky

RGB= 96, 166, 218

Colour Guidelines

ING Fuchsia

RGB= 171, 0, 102

ING Lime

RGB= 208, 217, 60

ING Leaf

RGB= 52, 150, 81

ING Mid Grey

RGB= 118, 118, 118

Text Colour

RGB= 51, 51, 51

No content below the grey line

Knowing information about someone's income can be desirable in some cases and required in others. For instance, in loan

processes this information is required and regulated: it needs to be substantiated by evidence, because proof of income is required

to assess if someone is capable of repaying a loan. However, in other cases the requirements are less strict. For instance, when

marketing a new investment product, this marketing campaign should be to a target audience that has disposable income to put

into investments. For other customers this type of marketing will be irrelevant. Having an estimate of someone's income will

therefore lead to fewer customers receiving irrelevant marketing and a higher success rate for the campaign. At the same time we

want to simplify the banking experience for our customers and not ask them too many questions. Therefore, it might be more

customer-friendly if we could ask for less information from a customer, but find different ways of estimating what the income of

such a customer is.

Challenge No 1:

Can you give us an indication of someone’s income based on publicly-available data. Furthermore, since working with personal data

carries considerable responsibility, we would like you to investigate the legal and ethical implications of your solutions. We would

like you to define a minimal set of data which you would want from the customer and which you can enrich with public data e.g.

statistics bureau data, publicly-available profiles, income comparison sites, etc. We expect you to demo a working prototype

together with a legal and ethical assessment of the prototype and a documentation regarding the validation of your results.

Challenge 1: Income Detection using Public Data

6

ING Orange

RGB= 255, 98, 0

ING Light Grey

RGB= 168, 168, 168

ING Indigo

RGB= 82, 81, 153

ING Sky

RGB= 96, 166, 218

Colour Guidelines

ING Fuchsia

RGB= 171, 0, 102

ING Lime

RGB= 208, 217, 60

ING Leaf

RGB= 52, 150, 81

ING Mid Grey

RGB= 118, 118, 118

Text Colour

RGB= 51, 51, 51

No content below the grey line

Data: - Vacancy websites - Public profiles - Statistisches Bundesambt - Chamber of Commerce - Friends and Family

Legal Ethical Assesment: - Are you allowed to use my Xing profile?

Is it desirable? - Is there an API? What are the conditions

for using it?

Validation: - Is my income truly 4709-7858 ??

7

Challenge 1

Xing: Bart Buter – Head of Data Engineering Gehalt.de: Leiter Data Engineering Income: 4.709 – 7.858

ING Orange

RGB= 255, 98, 0

ING Light Grey

RGB= 168, 168, 168

ING Indigo

RGB= 82, 81, 153

ING Sky

RGB= 96, 166, 218

Colour Guidelines

ING Fuchsia

RGB= 171, 0, 102

ING Lime

RGB= 208, 217, 60

ING Leaf

RGB= 52, 150, 81

ING Mid Grey

RGB= 118, 118, 118

Text Colour

RGB= 51, 51, 51

No content below the grey line

Currently, many financial apps show your current balance and past transactions, others have started to include complex graphs

and visualizations, but is this the information our customers really want to see? Maybe some are only interested in knowing that

their salary has been deposited into their account and if the utility bills have been paid; others might want to see how much they

have spent on their new home theater setup. Again others might want to see how much money someone in their peer group

spends on buying a new car, while certain customers are interested in how much they need to invest to have a comfortable

retirement. This shows that not every customer has the same wishes and that it makes sense to think of solutions for a certain type

of customer.

Challenge No 2:

Our challenge to you is to design the next generation data-driven banking app for your generation (Millennials born between 1980-

2000, Generation Z 2000-2020). Base your solution on what data is currently available to you in your banking environments and

think about what is missing, or what you would like to see. Furthermore, creating applications for customers is not about what you

think is a great idea, but rather about what they think is great to use. Therefore, you should identify features that are missing in the

current banking apps, identify multiple solutions to solve this and find out what the best solution is. Base your decisions on the

needs and wants of the customers, i.e. by doing customer research. In the end we expect a working prototype of your solution,

which can be part of the next generation banking app for your generation. Additionally, we expect to see the results of the

customer research that led you to the proposed solution.

Challenge 2: Next Generation Banking

8

ING Orange

RGB= 255, 98, 0

ING Light Grey

RGB= 168, 168, 168

ING Indigo

RGB= 82, 81, 153

ING Sky

RGB= 96, 166, 218

Colour Guidelines

ING Fuchsia

RGB= 171, 0, 102

ING Lime

RGB= 208, 217, 60

ING Leaf

RGB= 52, 150, 81

ING Mid Grey

RGB= 118, 118, 118

Text Colour

RGB= 51, 51, 51

No content below the grey line

Data:

- Your transactions from your bank.

- Friends and families

- Mobile phone

- Location

- Activity

Pitfall:

- I would like xyz. Therefore, it is a good idea

Validation:

- Test if your idea is shared by others.

- Do they have the problem you are trying

to solve?

- Do they agree that your solution is the

right solution?

9

Challenge 2:

ING Orange

RGB= 255, 98, 0

ING Light Grey

RGB= 168, 168, 168

ING Indigo

RGB= 82, 81, 153

ING Sky

RGB= 96, 166, 218

Colour Guidelines

ING Fuchsia

RGB= 171, 0, 102

ING Lime

RGB= 208, 217, 60

ING Leaf

RGB= 52, 150, 81

ING Mid Grey

RGB= 118, 118, 118

Text Colour

RGB= 51, 51, 51

No content below the grey line

DiBa Data Challenge Team

Bettina Hartlich

Stevie Albert

Georgios Gkekas

Organisation

Christine Hennighausen

Bart Buter

10

Every team gets a mentor Discuss office hours with mentor

ING Orange

RGB= 255, 98, 0

ING Light Grey

RGB= 168, 168, 168

ING Indigo

RGB= 82, 81, 153

ING Sky

RGB= 96, 166, 218

Colour Guidelines

ING Fuchsia

RGB= 171, 0, 102

ING Lime

RGB= 208, 217, 60

ING Leaf

RGB= 52, 150, 81

ING Mid Grey

RGB= 118, 118, 118

Text Colour

RGB= 51, 51, 51

No content below the grey line

Prizes

11

ING Orange

RGB= 255, 98, 0

ING Light Grey

RGB= 168, 168, 168

ING Indigo

RGB= 82, 81, 153

ING Sky

RGB= 96, 166, 218

Colour Guidelines

ING Fuchsia

RGB= 171, 0, 102

ING Lime

RGB= 208, 217, 60

ING Leaf

RGB= 52, 150, 81

ING Mid Grey

RGB= 118, 118, 118

Text Colour

RGB= 51, 51, 51

No content below the grey line

- You are not working for DiBa, your ideas, solutions and actions are yours. - Financial matters and related data are private and sensitive, treat them as such.

- When in doubt contact us or your professor.

Rules

12

ING Orange

RGB= 255, 98, 0

ING Light Grey

RGB= 168, 168, 168

ING Indigo

RGB= 82, 81, 153

ING Sky

RGB= 96, 166, 218

Colour Guidelines

ING Fuchsia

RGB= 171, 0, 102

ING Lime

RGB= 208, 217, 60

ING Leaf

RGB= 52, 150, 81

ING Mid Grey

RGB= 118, 118, 118

Text Colour

RGB= 51, 51, 51

Vielen Dank!

Bart Buter Head of Data Engineering – International Advanced Analytics ING-DiBa AG Telefon 069 / 27 22266776 Theodor-Heuss-Allee 2 60486 Frankfurt am Main [email protected]

www.ing-diba.de

YouTube.com/ingdiba

@ING_DiBa_Presse

Instagram.com/ingdiba

Facebook.com/ingdiba