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IMPLEMENTATION of VISUAL ANALYTICS at IMMOWEB Thinking Out Of The Box From distributed reporting to Visual Insights BICC 03 April 2014

BI congres 2014-4: thinking out of the box - Jos Cools - Crosspoint

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IMPLEMENTATION of VISUAL ANALYTICS

at

IMMOWEB

Thinking Out Of The Box From distributed reporting to Visual Insights

BICC 03 April 2014

Agenda

• Welcome

• Immoweb – facts & figures

• BI – Business Needs / Expectations

• BI – Project Implementation

• Next Steps and Lessons learned

• Demo

• Q&A

2

IMMOWEB

Launch of Hotmail

Birth of Wi-Fi protocol (indeed, no Wi-Fi before ;-))

While only 3% of the Belgians had Internet at

home, Christian Rousseaux decided to create

3

Same year :

40.000 classifieds

200.000 pictures

30.000 daily visitors

40% Internet penetration

4

IMMOWEB reaches its break-even point!

120.000 properties (BE)

80.000 abroad

1.500.000 pictures

220.000 daily visits

Launch of Immoweb iPhone app’

Immoweb is partner with

Google for the launch of

Streetview in Belgium

>80% Internet in Belgium

5

Acquisition by Axel Springer

Rousseaux

Family

11.3%

30% 70%

Axel Springer Digital Classifieds GmbH

17.4%

80% 99.2% 100% 100% 88.7%

20%

6

Part of a large group

2006 2007 2008 2010 2009 2011 2013 2012

7

Acquisitions

Organic

Development

153.000 classifieds in Belgium

95.000 classifieds abroad

2.200.000 pictures

293.000 daily visits

>500.000 downloads of our mobile apps (iPhone, iPad, Android)

44.000 fans on Facebook

8

Focus sur le mobile 30% visits on IMMOWEB

via mobile devices in Aug. 2013

(of which 18% via Immoweb app’s)

500.000 downloads

Available on iPhone, iPad and Android

Radar feature

Real-time warnings

9

Agenda

• Welcome

• Immoweb – facts & figures

• BI – Business Needs / Expectations

• BI – Project Implementation

• Demo

• Next Steps and Lessons learned

• Q&A

10

Business Expectations

Page 11

• One version of the truth

• Monthly reporting available 2nd day of the month

• Defined set of standard reports

• High degree of Self Service

Business Needs

FORECASTING

ANALYSIS

DATA

REPO

RT

UN

DERSTAN

D

PRED

ICT

Solution & Vendor Selection

Why we selected SAS Visual Analytics

- Reporting & visualization capabilities

- Data discovery features

- “Integrated” and proven ETL

- Broad portfolio allowing for future expansion

into e.g. text mining

Page 13

Solution & Vendor Selection

Why we selected SBI

- Proven experience w/ SAS implementations

- Visual Analytics certified

- Supported by SAS Institute

- Team & Drive!

Page 14

Page 15 14/04/2014

Visual Analytics Implementation

SBI performs/provides

• Installation & configuration of SAS Visual Analytics on internal server farm

• Flexible deployment environment

• Isolated environment (server, network, storage) per customer

• Manage environment (backup, software updates, security)

• Scale in function of customer needs (compute power, memory, data storage)

• Integration with customer ODS

• Development of VA Data Mart

• Development of initial VA Report Data Sets & VA Reports

• Release management from TST to PRD

• Remote access via VPN

Enterprise

Guide

Page 16

Visual Analytics – the big picture

ODS ODS

Subset

VA

Data

Mart

Opera

tional

Syst

em

s

Report

Data

Set

Report

Data

Set

Report

Data

Set

Report

Data

Set

Power users

Data Exploration

ODS

ODS ODS

Subset

ODS

Subset

Page 17 14/04/2014

Visual Analytics – Environments

ODS

Opera

tional

Syst

em

s

ODS

Subset

VA

Data

Mart

Report

Data

Set

Report

Data

Set

Report

Data

Set

Report

Data

Set

PRD

ODS

Subset

VA

Data

Mart

Report

Data

Set

Report

Data

Set

Report

Data

Set

Report

Data

Set

TST

Controlled Release Process Ad-hoc release process

Scheduled release process

Page 18

Visual Analytics Implementation Requirements

End-user reports available when needed & based on a controlled version of the data

Development of reports in a” flexible manner

Development or modification of reports do not affect ‘production’ reports consulted by end-users

Exploration of data by power users

Observation: some of the above requirements mandate the use of separate environments

Project Team & Organisation

Immoweb

SBI

SAS

• Short project – lean

project management

– Regular project

meetings

– Regular SteerCo

meetings

– Formal validation of

reports

– Stress testing

– Pre go-live testing

– Go-live support

Page 19

Traditional Implementation

Data Preparation

Report Building

Testing

Validation

Set Up Test & Production Environment

Page 20

Agile implementation

Page 21

Data Discovery

Data Structuring

Concept Report

Rapid Iterations Final

Reports

Agenda

• Welcome

• Immoweb – facts & figures

• BI – Business Needs / Expectations

• BI – Project Implementation

• Lessons learned

• Demo

• Q&A

22

Lessons Learned

Importance of Data Quality

Importance of IT Infrastructure

Different Way of Thinking

Process – Not Project

Page 23

Page 24 14/04/2014

IT Infrastructure

• Release manager ⬌Developer ⬌End-user

Proper release management

requires segregation of duties

• Batch job management Scheduled release management

• Provide possibility to revert to proven, working state

Versioning control

THANK YOU

Page 25

Jos Cools

Managing Partner SBI

[email protected]

www.sbiconsulting.be