BI congres 2014-5: from BI to big data - Jan Aertsen - Pentaho

© 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) 660-75551

Jan AertsenServices Director EMEA/APAC

April 2014

Travel Industry Cases

From BI to Big Data


•Founded in 2004

•HQ in Orlando, US

•Open source heritage

•Low cost, subscription based

licensing model

•>50% year on year growth

•Fastest mover up in

Gartner BI quadrant 2014

About PentahoIntroduction

15x faster

to develop

10x faster

to execute

No coding

Integrate

with existing

Easy to find

resources

© 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) 660-75553 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) 660-75553 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) 660-75553

Pentaho Product Components

Pentaho Data Integration

Pentaho Dashboards

Pentaho Data Mining / Predictive Analytics

Pentaho Enterprise and Interactive Reports

Pentaho for Big Data MapReduce & Instaview

Pentaho Analyzer


AboutmeIntroduction

• User since 2005

• Started Pentaho EMEA/APAC

services team in 2011

• Now 17 services resources

+ broad partner network

• Focus on enablement

• > 150 engagements in 2013


Bart MaertensMD of know.bi

Certified Pentaho Architect

Pentaho Partner Benelux

Good to knowIntroduction

Matt CastersChief Data Integration

Kettle project founder


Originally customer case

2013 Evolving BI/DWH architectures

Show some typical BI/DWH architectures

in the same field

Why travel?

2014 BI/DWH patterns

This talkIntroduction


Standard reporting

European ground handler


European Ground HandlerEuropean Ground Handler

Business Challenge:

> On demand operational reports

> Unlock 6 different systems

including: personnel, vehicles,

scanning, cargo tracking

> Blend on the fly

> Low TCO

Pentaho’s Solution:

>Pentaho Reporting

>Pentaho Data Integration

with implementation help from Pentaho

and Pentaho partner know.bi

Why Pentaho:

> Broad and extendible connectivity

> Advanced federated querying

> Low TCO

• 35 Airports in Belgium, France,

Italy, Netherlands

• 6000 staff

• Serving over 4000 passenger and

cargo airlines

• 1 mio ton of cargo per year

• 3 mio passengers per year


Standard reportingEvolving BI/DWH architectures (1)

P

D

I

Reporting

Employee

Vehicle

Management

Scanning

OCR BI Tools

Cargo Tracking

Key take-aways:

• Ability to unlock

(Connectivity)

• Advanced federated

querying

Federated querying

Direct querying


Building the data warehouse

Brussels Airport

SwissportKPI tracking for operational

performance


Brussels Airport CompanyGlobal Aviation Ground Services Company

Business Challenge:

> Expensive existing BI/DWH solution

> Need to add new data sources


> Pentaho Data Integration replacing

IBM Datastage with help from Pentaho

Partner know.bi

Why Pentaho:

> Broad and extendible connectivity

> Development speed

> Low TCO


SwissportGlobal Aviation Ground Services Company

Business Challenge:

> Analytics solution to track KPIs in

order to improve their operational

performance


>Pentaho BI Suite Enterprise Edition,

replacing Oracle BI, with development

help from Pentaho Partner

Why Pentaho:

> Reduced costs for business

intelligence

> Deliver operational and strategic

reports, metrics and analytics to top

executives


Building the data warehouseEvolving BI/DWH architectures (1)

ReportingAnalytics

Dashboard

Sales

Budget

Forecast

Finqnce

Billing

Traffic

PDI

EDWData

Marts

Key take-aways:

• Need for data

integration and

EDWH for integrated,

historical view:

Federated querying

Direct querying



Real-time dashboards

Lufthansa


LufthansaA global aviation company

Business Challenge:

> Make the check-in processes more

accessible, measurable and

available for real-time operational

monitoring


>Pentaho Business Analytics

Enterprise Edition for real-time data

analysis and report generation

Why Pentaho:

> Aggregate and feed data into a

management cockpit to analyze

collected data for key decision-

making purposes


Real-time analyticsEvolving BI/DWH architectures (1)

ReportingAnalytics

Dashboards

Reservatio

ns

Luggage

Finqnce

Billing

Traffic

PDI

EDWData

Marts

Key take-aways:

• Real-time processing

• Load performance

• Custom connectivity (EDI)

• Theming / embedding

IATCI

(EDI)

Federated querying


Real-time

stream

Direct querying


Lufthansa


Enter big data


40000

30000

20000

10000

Exa

byte

s o

f D

ata

Source: IDC’s Digital Universe Study, sponsored by EMC, December 2012

YOU ARE

HERE

FROM 2010 TO 2015

77% of data relevant to

enterprises will

be unstructured

We all know the amount of data in the world is growing exponentially


Two key pressure points are disrupting the

traditional analytics marketOn the road to the modern big data driven enterprise

Effectively

Administer,

Manage & Deploy

Easily Interact,

Visualize &

Explore

Blend Data for

Comprehensive

ViewDifferent Audiences

Different NeedsBusiness Managers

Business Analysts

Data Scientists

Admins

IT

Escalating Need for

New Data Types

Velocity, Volume, Variety, Value

Next Wave of Self-

Service Analytics

Beyond Business Analysts


Data warehouse optimization

and 360 customer view

Traveltainment


TravelTainmentMulti-Channel Distribution Platforms for Travel

Business Challenge:

> Ensure that its website is user-

friendly and fast, while still

processing a vast amount of data

and free IT resources

> Use online customer info to

enhance existing CRM focussed

DWH


>Pentaho Business Analytics in an

open source-friendly, big-data

environment

Why Pentaho:

> Increase reporting speed by 2-3

time with even the most complex

demands

> Self-service with big data

management


Big data extended BI/DWHEvolving BI/DWH architectures (1)

P

D

I

�PDI

EDW Data

Marts

Analytics

Existing

ETL Tool

or PDI

Customer

Provisioning

Billing

Location

Web

Social Media

Network

PDI

Hadoop

Cluster

P

D

I

Analytic

DB

On-Demand Integration & Blending

5.0

NoSQL


WHAT WE BELIEVE

Big data is completely altering the market requirements for analytics

Even big data

needs to play

well with others.

1The most powerful

insights come from

blending data on

demand and at the

source

2You can’t prepare

for tomorrow with

yesterday’s tools

3

© 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) 660-755526 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) 660-755526 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) 660-755526

38% 38%

16%

4% 4%

More detail from

customers,

suppliers, etc.

Social

media

content

Commercially

available

data

Publicly

available

data

Existing

underutilized

“dark data”

Getting Value from Big Data, Gartner Webinar, May 2012

+ ROI+ + + =

The most compelling insights come from data

combinations

“Which source of data represents the most immediate opportunity to transform your business?”


7

“Much of the value from big

data will come from

‘mashing up’ proprietary data

with external and open data.”

McKinsey Global Institute

10 IT-enabled Business Trends

for the Decade Ahead, May 2013


BLEND ON DEMANDData integration

Blends data at its

source through a

flexible platform

ANALYZEVisual analytics

Explore and discover

through interactive

visualization

PREDICTReal-time monitoring

Analyze large data

sets in real-time

environments

OUR APPROACH TO THE FUTURE

A complete, simplified analytics experience throughout the customer lifecycle


WHAT WE BELIEVE

Big data is completely altering the market requirements for analytics

Even big data

needs to play

well with others.

1The most powerful

insights come from

blending data on

demand and at the

source

2You can’t prepare

for tomorrow with

yesterday’s tools

3


Thank You

blog.pentaho.com

@Pentaho

Facebook.com/Pentaho

Pentaho Business Analytics

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