SEUGI Florence 2001 1l’opportunità

Portogallo

Leonardo ModeoITC manager – GRUPPO SFIR SPA www.sfir.it

Daniele FrisoniB. Intelligence Manager– GRUPPO SISTEMA SPAAlan Buda Application Engineer - GRUPPO SISTEMA SPA

The “sweet” side of web warehousing

SEUGI Florence 2001 2l’opportunità

Portogallo

MISSION

S.F.I.R. has been producing beet-sugar for more than forty years, in full compliance with quality and environmental standards.

The company's main aims are customer's satisfaction and assistance to beet growers.

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F.popoli ( FC) Pontelagoscuro (FE)S.Pietro in Casale (BO)

Foggia

S.F.I.R. GROUPIt is the second producer in Italy with 21% of the national production quota.

SFIR has its headquarters in Cesenaand owns four factories, three in the North and one in the South.

Turnover 2000: 537 billion Lira Employees: 590

2 affiliated, in Spain and Portugal

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SFIR, through its own department called "consumer", sells, with the brand name Sucrital, classic white crystal sugar packed in:

• 1 kg case, packet, sachets• 25 and 50 kg bags• 1.200 kg big bags

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SFIR has launched a new high quality line of products made to meet customers' requirements

SEUGI Florence 2001 6l’opportunità

Portogallo

• FRAME RELAY line, with 200 intranet client

• 1 HDSL and 4 ADSL line, with 130 internet client

F.popoliPontelagoscuro

Foggia

Sfir Information system

S.Pietro in Casale

Headquarter CESENA ( FC ) :• SW : IBM ACG V2, and many legacy procedure• HW : AS 400 and 3 PC Server • ORGANIZATION : outsourcing

SEUGI Florence 2001 7l’opportunità

Portogallo

NEW REQUESTS FOR THE INFORMATION TECNOLOGY DEPARTMENT

Orientation: from product to market

New marketing needs

Management reporting

DIFFICULTY An expensive draw and data processing

A non perfect integration amongst prd

Organization changes

Performance increase

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SOLUTIONS:To give fast and complete answers to all questions and once we have planned the introduction of €uro, with an efficient information system,

we intend to:plan and install a DW/DSS solution, starting with a "data mart" for the trade department anddelay the assessment about procedures integration (ERP system)

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MAIN FEATURES :• fast and easy start-up

• high rate of develompment

• fast learning

• suitable cost-benefit ratio

Commercial Data mart

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Commercial Data mart

PROJECT TARGETS

1. Introducing Data Warehousing2. Redefine the current reporting system3. Application of new tools for a faster analysis of

information4. Integration of the solution in the company intranet

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THE PROJECT’s STEPS

Step 1: March 2000•Analysis of the sales department•Definition of business key indicators

Step 2: April - June 2000•Development of sales analysis •Comparison with the previous period and to budget •Development of performance indicators

Step 3: Sept-Oct 2000

•Data certification

•Training and start-up

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MAIN RESULTS OBTAINED AFTER FIVE MONTHS

1. From monthly reporting to ……. daily reporting2. Availability of certified data3. Saved time in processed data4. Further information deepening

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SUBJECTS TO CONSIDER

Support and sponsorship of CEO and direct involvement of top management

Appointment of a person in charge of the project, with power to decide and defined budget

Gradual setting up of the project:

”think big, start small”

Limited investment and .... Watch out R.O.I.

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RESOURCES INVOLVED

Ceo is the sponsor…and also a user ! !

Work team:Project leader: CIO• 1 Trade Department Assistant • 1 person in charge of management control

All this has been done following the budget

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TECHNOLOGICAL PARTNERS

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Commercials e-warehouse technical featureshardware and software architecture

Server NT= Appl. Server SAS V8= Web Server Apache

Server OS/400= Appl. Gest. ACG= Appl. legacy

PC UtentiMS Windows 98MS Explorer 5.5

PC Sviluppo= AppDevStudio 1.2= Ent. Reporter 2.5

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Server OS/400= Appl. Gest. ACG= Appl. legacy

Server NT= Appl. Server SAS V8= Web Server Apache

Commercial e – warehouseSupply of basic data

Night time processing of:• Turnover

• Commercial charges

• Production costs

• Sales budget

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Commercial e – warehouse Contents of basic data

• Over 15 types of classification– Types of clients, sales network, market geography, line

of products, logistics, timing...– Over 30 types of analysis– Quantity, turnover, discount, transport charges,

commissions, bonuses, production costs

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e – warehouse commercial

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e – warehouse commercial

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We are already extending this experience to othercompany departments with the same needs:

• heavy management due to a great amount of data

• Complex compiling of reporting for the top management, with particular reference to buying department and control management department

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FUTURE PROJECTS AND CONCLUSIONS