31
Technology Office Challenge (Why numbers rock!)

Fst auckland presentation

Embed Size (px)

DESCRIPTION

Technology Office challenges especially better use of information within a banking environment. Provided tangible examples of transactional analysis, text sentiment analysis, power consumption analysis

Citation preview

Page 1: Fst auckland presentation

Technology Office Challenge(Why numbers rock!)

Page 2: Fst auckland presentation

Context

• 800,000+ customers• 280+ branches• 300 ATMs• 1,100 staff• $14.4bn assets

• 2 data centres• 350 production servers (50%

virtual)• 0.5PB storage (10% structured)

Page 3: Fst auckland presentation

Product / Marketing / Operations

Technology Delivery

My Technology Office Challenges

Make the Right Decisions

Capability Development

Derive Value from Data

2

3

4

Architecture Narrative – what, why…1

Page 4: Fst auckland presentation

2. Making the right decision

Forces for control• Processes and tools• Comprehensive documentation• Plans

Forces for creation• Individuals and Interactions• What works beats theory• Change is everywhere

Page 5: Fst auckland presentation

Sound familiar? … it’s the Agile Manifesto

Page 6: Fst auckland presentation

My observations

Our best work has happened when 3 things were true:

1. We give it a go2. With a supportive business team that’s not

scared to understand the little details3. And a committed and passionate technical lead4. That ensures people work together.

Page 7: Fst auckland presentation

3. Capability Development

Architecture Briefing Forum

Enterprise Information

Forum

Analytics Forum (soon!)

(Collaborative)

^

Page 8: Fst auckland presentation

Architecture Briefing Forum

• Distributed configuration across Internet Banking servers

• Federated Identity• Anti-Money Laundering• Operations Management

with System Center• Web Service Gateways• Application Build and

Deployment• Storage• Pre-Production Update• NoSQL logging design

comparing MongoDB and RavenDB

• Crypto 101• …

Page 9: Fst auckland presentation

4.Gaining value from information

Analytics platform

Enterprise Information platform

Data Platform

Key insight has been that multiple groups are required to gain full benefit.

Why?

Differing skills and knowledge.

IT has a role across

all

Page 10: Fst auckland presentation

Our Data Platforms

Storage

Hitachi Virtualised Storage ½ PB of data = 7 years of HD-TV 1/5th is database storage High growth rate

2000 2002 2004 2006 2008 2010 2012 20140

100200300400500600700

Shared Storage (TB)

Database

• Microsoft SQL Server• NoSQL: Universe, RavenDB, MongoDB

Staging

• 65GB exposed to systems every day• >1000 data jobs / day

Page 12: Fst auckland presentation

Our Enterprise Information Platform

• Key strategy is to unlock information assets• Make data available into Analyst Playpens• Through improved data acquisition /

transformation / delivery• Currently in progress…

Page 13: Fst auckland presentation

Our Analytics Platform

Analyst’s Playpen(s)

Microsoft Excel (+ VBA/.NET)Tibco S+Microsoft SQL Server (DMX)

Sungard ALM

All different. All with strengths.All suited to different users.

Data

Page 14: Fst auckland presentation

And Analytics Means What Exactly?

1. OptimisationOptimal decisions under competing

constraints.

2. Understanding connectivityConnectivity between attributes leading to

a decision ie “market basket analysis”; orunderstanding clustering of outcomes.

3. Predicting the futurePredicting future outcomes based upon

history.

Page 15: Fst auckland presentation

A rapidly changing landscape

Page 16: Fst auckland presentation

Analytics = $++

It’s not just the licensing…

…it’s the infrastructure.

Page 17: Fst auckland presentation

So go cloud, but take care…

Page 18: Fst auckland presentation
Page 19: Fst auckland presentation

How is this useful?

Classic bank examples are• Risk analysis

– Market risk– Credit risk– Operational risk

• Proactive optimised marketing– Market basket analysis– Prioritisation of campaigns

• Portfolio optimisation• Customer needs analysis

Page 20: Fst auckland presentation

Bit of fun: Twitter sentiment@ASBBank@BNZBank@KiwibankNZ@ANZ_NZ@WestpacNZ

Page 21: Fst auckland presentation

Bit of fun: ORM sentiment

Online Relationship Sentiment

Page 22: Fst auckland presentation

Understanding contentStrictly speaking latent semantic analysis

Relate terms to documents: Term Document Frequency Matrix

Uncover frequent terms:

Uncover associations:

Page 23: Fst auckland presentation

Wordcloud…

Page 24: Fst auckland presentation

Connectivity

Page 25: Fst auckland presentation

Online buyer behaviour

Is online purchasing more or less important in the regions versus the cities?

My hypothesis is yes

High

Low

Can’t disprove it…

Page 26: Fst auckland presentation

Mapping our transactions

Page 27: Fst auckland presentation
Page 28: Fst auckland presentation

How does your energy bill stack up?

Page 29: Fst auckland presentation

What do we see?

$100$50$0

Colours = Companies

Large variances across companies…

Minor regional differences…

$80 $90 $100 $110 $120 $130 $140 $150 $160 $170

Key data is power company avg bill…

Optimisation possibility of about

$15/month or $180/year

Page 30: Fst auckland presentation

Metrics and Analytics for IT

• Summer of Tech project• To build digital signage that displays

metrics across operations, delivery,and the business.

• Focused on the IT consumer http://www.summeroftech.co.nz/

Page 31: Fst auckland presentation

Summary

We build narratives to explain what and why.

We work with all of IT to grow capability and ensure we’re collectively making the right decisions.

We support analysts by ensuring they have the platforms, tools, and skills to succeed.