Tetra Pak at the Chief Data Officer Forum

Creating a Global Culture of Analytics

Balaji RajamaniEnterprise Architect, Global Information

Management

Balaji Rajamani / 07.07.2015

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What we’ll cover

Building the Enterprise Business Intelligence

Changing the BI Strategy

Wrap-up

Emerge of Analytic Underground


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► 2014 Revenue: €11 billion

► Employees: 23,500

► Food Packaging and Processing

► Sales in 170 markets, presence in 100 markets


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Tetra Pak – in a nutshell

Tetra Pak produced …………. packages in 2014180 Billion

What we’ll cover



Wrap-up



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First Machine Delivery in 1952 The data involved was well managed…

Fredrik Ohlsson / 09.06.2015

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Like a badly planned city….

Tetra Pak before 1998…..


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1998 - Global Business Transformation Programme was launched

Global business processes

Global data definitions

Supported by one Information System Platform - ERP (SAP R/3)

Enterprise Business Intelligence Programme to achieve

a single version of the truth

Tetra Pak before 1998…..


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A struggling beginning… Journey towards Enterprise BI

230

0

500

1000

1500

2000

2500

3000

3500

2007

Nu

mb

er

of

acti

ve u

sers

4000

4500

5500

December 2014 6,000 users in 80 countries

(8,000 registered users)

150,000 reports executed

420,000 report navigations

3367

726

120


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BICC established

All data into memory

Key Success Factors

*Business Intelligence Competence Centre

Clearly Communicated BI Strategy

Strong governance

Standardized & repeatable process

Visible support from Senior Management

BICC* Established

Global, virtual, cross functional (Business/IT/Analytics)

Reinforcing governance

Actively drive adoption – use of usage analytics

Rigorous Quality Control

Thorough use of Enterprise Data Warehouse Architecture

No reports run more than 10sec (in-memory technology)

Building a strong reputation


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Centralized development

Dallas, Texas

Singapore

Development centralized in two IT centers:

IT security & IT governance well managed

Service covers all time zones

Closeness to other IT teams (ECC, SCM, CRM, SRM, eHR, MDM, BOFC, etc.)


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Past Achievements Don’t Guarantee

Tomorrow’s Success….. Balaji Rajamani / 07.07.2015

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What we’ll cover



Wrap-up



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What was really going on out there?

Public truth…

The enterprise BI was the one-stop-shop for business decisions

…what we saw

Business units deployed a lot of local BI platforms

…what we heard

Significant amount of money was spent on these local BI tools


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Were growing link mushrooms in the dark…Large number of ungoverned analytic apps

213

1,147 BI platforms!!In addition, many large initiatives ongoing……

145

155

13

102

99

12 19

21127

158

88


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Effective Analytic: Actionable

Help drive changes

Creates competitive edge

Cool Analytic: Seductive and attractive

Impresses your boss

Not delivering value to your business

That did not delivery value to our business We found a lot of bad practice BI

vs.


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Jeopardizing integrity & quality of data The Human Data Integrator

vs.


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If not addressed – stop using EBI

Business will find a way to address

Analytic underground takes over

higher cost, duplication

Risk back to

tower of babble

Analytic Underground

was emerging….

why?


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3 Reasons for Analytic Underground

Need for flexibility! The way we consume information is changing

Static information vs. business discovery

Formatted reports vs. self serve

Simple access to any data!

Valuable data locked in to source systems

Need to acquire all type of data

IT and data savvy business generation

For IT For Everyone

Need for agility!

A fast changing business environment

Too slow to transform Data to Insight

Many iterations before achieving value


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A wealth of data ready to explore....

New sources of data – Machines!

Opportunities within reach:

Optimize Maintenance Optimize Function & Design


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Is increasingly difficult to bridge…

► “I'm not a Data Analyst, I'm a Business Process

Specialist”− Did not ask the right questions

− BI projects became tool exercises

− Projects delegated to local IT organizations

The Gap between Data & Insight

Business Analysts

Business data Business actions


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What we’ll cover



Wrap-up



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Shifting to a User Centric BI Strategy

Standardised

Trusted

Secure

Strong governance

Added in 2013

Standardised

Trusted

Secure

Strong governance

Protecting the single version of the truth…

… to addressing all type of analytics


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Moving BI back into the line of business…

Establishing best practice analytics everywhere

Key Objectives

► Define new roles and responsibilities

► Establish new processes

► Secure the right governance

► Implement new tools platform

BI programme launched in 2013

BI Expert

roles

Pace layered

process

Global tool

portfolio


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The BI Expert Role

► Data knowledge & Data governance

► Tool selection - what tool fits what need

► BI best practice - Visualization, report template

► Report Development

Business Specials

BI Expert

IT Specialist

Bridging the knowledge gap


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► Data knowledge & Data governance

► Tool selection - what tool fits what need

► BI best practice - Visualization, report template

► Report Development

Business Specials

BI Expert

IT Specialist


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The BI Expert Role Bridging the knowledge gap

Process - Agility through Decentralization

Decentralized Front End (reports, apps, visualization) development

Kept Back End (ETL & data storage) development centralized


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IT

Sp

ecia

list

En

d U

ser

Su

per

Use

r

Report

development

Estimate and identify

resource

requirements

Specify needs & type

of BI development

Knowledge transfer to

support & trainers

Pu

blis

her

BI E

xper

tP

roce

ss

Ow

ner Prioritize & approve

report developmentIT

expertise IT spend approval

Identify need & define

report requirements ,

deliverables & content

Report documentation

for business (wiki)

Support

Publish content on

portal

Develop solution &

train BI Expert

Selecting the right process for your needProcess - Development of BI apps

Identifies a business

requirement

Self

Serve

Customize, ad-hoc

reports and queriesEnd

Provide end

User training

Assess the type of

business requirement

Agile BI

Self Serve

IT Process

Training

Yes

Yes

Yes


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Monitoring

Dashboards

Reporting

Formatted

Analyze

Deep dive & mining

Discover

Data exploration

Tools - Suite covering all analytic needsSelecting the right tool for your need


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What we’ll cover



Wrap-up



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Where we are today….

► 50% faster deployment of BI & Analytics

► 700 non-actionable BI applications removed

► 2 M€ lower TCO per annum

► Established a Culture of Analytics − Awareness of what good data and good BI looks like

− Easier to spot actionable analytics

− Knowledge of how to address different type analytic needs


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Thanks!


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Tetra Pak at the Chief Data Officer Forum

Data & Analytics

Transcript of Tetra Pak at the Chief Data Officer Forum