A single version of the truth diebold shares its global vision for bi

Tina Suttle, Manager, Business Intelligence, Diebold, Incorporated Brad Reinders, Principal, Business Information Management, Capgemini Oracle Open World Tuesday, October 4, 2011

Business Intelligence at Diebold, Incorporated

| Sector, Alliance, Offering Insert "Title, Author, Date"

2 © 2011 Capgemini. All rights reserved.

| Sector, Alliance, Offering

Diebold, Incorporated

§  Global leader in providing •  Integrated self-service delivery •  Security systems and services.

§  $2.7 Billion company §  More than 16,000 associates with representation in nearly 90 countries

worldwide §  Headquartered in Canton, Ohio, USA. §  Been in business for more than 150 years §  My role: Manager, Business Intelligence

3


History of BI at Diebold

§  Diebold Brazil only true BI deployment until 2007 §  Reports, reports, reports – worldwide §  Established a BI focus in 2006 §  Developed a global information strategy and vision §  Along with two highly experienced BI and Technical analysts:

•  Deployed limited BI infrastructure •  Built BI development methodology •  Developed ETL framework

§  Began BI development in 2007 §  Current BI Team

•  10 in U.S. •  4 in India •  Consultants & Contractors as needed

4


BI Vision / Evolution 2006 - 2010

Insert "Title, Author, Date"


5 “Awareness” “Insight” “Action” “Automation”

Reporting

2006

ü Global eBiz Rptg ü Global Decision Support Team ü Global BI Team ü BI Dev Methodology ü BI Tool Evaluation ü Global Data Architecture ü Discoverer

BI / DW Foundation

ü  Global BI Data Arch & Infrastructure ü Initial Data Marts ü OBI Framework evaluation & acquisition ü OBI EE Infra ü Initial Data Marts:

• HR DM • Safety DM • Service Perf

2007

Global BI Data Marts

2008

ü Add’l Data Mart dev • Spend Analytics • Rev / Cost • Sales / Mktg • Add’l Service

ü OBI EE Dashboards ü Assess / Acquire OBI Prebuilt Apps (2009/2010) ü Oracle Rollouts – Reporting Package ü BI / Reporting Dashboards

BI, Executive Dashboards

2009 ü Additional Data Mart Deployment

• Sales • Add’l Service

ü Additional BI / Reporting Delivery Dashboards ü Separate Reporting Instance ü Scorecard development ü Business Activity Monitoring (BAM) ü Data Mining Functionality

BI / Business Alignment

2010-Beyond

ü Business driven BI ü BI driven business ü BI à Customers ü Additional Data Mart Deployment

• Supply Chain • Add’l Service

ü Additional BI / Reporting & Dashboards ü BI Applications Deployment

• GL • Sales

“BI Excellence”

Prebuilt Analytics


Oracle BI Applications Acquisition

§  Why acquire Oracle BI Applications? •  Needed to deploy faster; provide more content •  Prebuilt data mappings from Oracle eBusiness Suite •  Universal adaptors for non-eBiz sources •  Upgrades to E-Business Suite supported in pre-built model. •  Role and function based interactive dashboards based on best practices and

analytic workflows. •  Consistency in look &functionality of analytics applications

§  Applications acquired: •  Financials •  Procurement and Spend Analytics •  Supply Chain •  Sales

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Business Intelligence Data Flow



Staging Area

Data Source 2

Data Warehouse

Data Source 3

Data Source 4

Dashboards

Data Source 1


Prebuilt Analytics – What we bought--



Staging Area

Data Warehouse

Dashboards

Oracle R12

Baan

CARMS

Oracle 11.5.10


Prebuilt Analytics – What we bought--



Staging Area

Data Warehouse

Dashboards

Oracle R12

Baan

CARMS

Oracle 11.5.10

Oracle BI / Analytic Applications Purchased: Financials (AR, AP, GL) Sales (customized adaptors for Oracle EBS source) Supply Chain Procurement / Spend

Adaptors – prebuilt mappings to Oracle ERP sources



Napolean’s Victory at Battle of Austerlitz

What

¤  Austria and Russia form Third Coalition against French Empire

¤  Date was chosen for battle - December 2, 1805

What Happened

¤  Russia did not show

Then What

¤  Austrian forces lost the battle:

¤  20,000 fled

¤  10,000 killed

¤  40,000 captured

Why did it Happen

¤  Gregorian (Austria) versus Julian (Russia) calendars

The Point

¤  Early example of data quality issue.


Prebuilt Analytics – Non-Supported Source Systems



ETL

OBIEE

EBS

Sales Analytics

Oracle BI Apps

Data Warehouse

Universal Adapters


Prebuilt Analytics – Non-Supported Source Systems



ETL

OBIEE

EBS

Sales Analytics

Oracle BI Apps

Data Warehouse

Customized Siebel Adapters


Prebuilt Analytics – Joining Custom Data Warehouse



ETL

OBIEE

Source

ETL

OBIEE

Source

Custom

Oracle BI Apps

Data Warehouse

Data Warehouse


Data Warehouse




ETL

OBIEE

Source

Could rebuild it

ETL

OBIEE

Source

Custom

Oracle BI Apps

Data Warehouse





ETL

OBIEE

Source

Combing Using OBIEE – Single metadata (rpd)

ETL

OBIEE

Source

Custom

Oracle BI Apps

Data Warehouse

Data Warehouse





ETL

OBIEE

Source

Combing Using OBIEE – Better performance in same database instance

ETL

Data Warehouse

OBIEE

Source

Custom

Oracle BI Apps


Prebuilt Analytics – Master Data



ETL

OBIEE

Sources

Use Master Data from common source Delete or Duplicate Source System ID

ETL Sources

Custom

Oracle BI Apps


Prebuilt Analytics – Load Strategy for Global Users



ETL

OBIEE

Source

Load while users are online Two risks: -  Performance -  Data

Oracle BI Apps

Data Warehouse





ETL

Instance 1

OBIEE

Source

Load while users are online Rotating Data Warehouse Instances -  Mitigates Both Risks -  Expensive

Oracle BI Apps

Instance 2





ETL Data

Warehouse

OBIEE

Source

Dedicated RAC Nodes – one for ETL and one for OBIEE Solves Performance Risk Does not solve Data Risk

Oracle BI Apps

Node 1 Node 2


Oracle BI Applications Multilingual

1.  Application Metadata •  Buttons, menus

2.  Web Catalog Metadata •  Report names, dashboard names

3.  Repository Metadata •  Columns names, descriptions

4.  Multilingual Data •  Your data

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Oracle BI Applications Localization

22

!


Oracle BI Applications Localization

1.  Application Metadata •  Out of box support – can add or change •  Browser Language Setting or Session Variable

2.  Web Catalog Metadata •  Manual translation •  Placed in OBIEE directory

3.  Repository Metadata •  Manual translation •  Placed in table

4.  Multilingual Data •  Dimension data – multiple columns or translation table •  Fact data – as it comes in

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Tips

§  Dedicated resources •  BI DBA and Infrastructure •  Can move to shared services for support

§  Phased approach §  Business involvement/ownership

•  Diebold business owns reports and dashboards •  Dedicated power user/plus backup •  High user adoption •  IT owns infrastructure and framework •  Organized, trained, prepared

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Implementation Partner Selected

§  Premier Oracle Partner, brought into Diebold by Oracle: BI Consulting Group – now Capgemini

§  Successful relationship since 2007 •  Training •  OBIEE deployment and tuning •  Data modeling / architecture assistance

§  Engaged BICG/Capgemini in 2010 & 2011 for deployment of: •  Sales •  GL •  Oversight of Supply Chain, AR, AP, and Procurement/Spend Analytics

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“Prebuilt” Approach

§  Methodology for Oracle Business Intelligence (MOBI) §  Oracle BI Applications are first installed “out of the box” §  Conference Room Pilot conducted to provide “hands on” review of BI

Apps for the business §  Business Requirements defined §  Roadmap developed for configuring and deploying BI Apps based on

business requirements §  Project Management assistance §  Training / Knowledge Transfer

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The Diebold Data Warehouse now

§  7 Custom Data Marts §  2 prebuilt BI Applications modules §  5 other prebuilt BI Application modules in various stages of deployment,

along with expansion of installed data marts both custom and prebuilt §  Most data marts have 25 – 200 users, one has 1200 and one has 4500

users §  Front end à OBIEE §  Ad hoc Analysis à Discoverer, OBIEE/Answers §  Implemented Exadata in April 2011, improved performance immensely

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OBIEE Run Times Before/After Exadata Implementation



0

20

40

60

80

100

120

140

1/31/2011 2/28/2011

3/31/2011 4/30/2011

5/31/2011 6/30/2011

7/31/2011 8/31/2011

Average Seconds

Exadata installed April 26, 2011, Number of queries run up 23%


The future of BI at Diebold

§  Continue rollout of Oracle BI Applications •  “Out of the box” Approach •  Enable Power Business Analysts to develop dashboards

§  Transition custom BI to Oracle BI Applications, where appropriate §  Investigating Mobile BI using OBIEE §  Drive cultural change

•  Reports, reports, reports à BI, BI, BI •  Self service BI •  Near real time – only when necessary

§  Strengthen partnership with the business: Business driven BI; BI driven Business

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The information contained in this presentation is proprietary. ©2011 Capgemini. All rights reserved

Technology

A single version of the truth diebold shares its global vision for bi