100% [email protected] Your assurance to success – partner with experience Increase BW success by 70% Hari Guleria icm AMERICA

100%

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Your assurance to success – partner with experience

Increase BW success by 70%

Hari Guleriaicm AMERICA

Best Practice

http://www.sap.com/index.asp

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Brief on icm

• 19 offices in Europe and US with over 500 employees• 100% senior SAP resources• BW TRACK RECORD

– Ranked # 5 globally for BW implementations– 21 BW Projects completed– 16 BW projects underway– FPS partner in 3.0x (have 3.0A since Oct 2001, 3.0B since June 2002)

– 2 icm employees on SAP AG BW Development board

•COMPANY TRACK RECORD

Area Projects CompletedUpgrades 100 Data Archiving 68 BW 21 RBE/CBI 36 System Mergers 07

Area Projects Completed APO 03 SEM 02 eBusiness 10 CRM 02 SAP Implementations 176


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SAP Reporting Options

Operational R/3

R/3

Business Information Warehouse(BW)

ABAP Query, Report Painter/Writer“Canned” R/3 Reports

Information SystemsLIS-COPA-FSL

Third Party Tools and Applications

Cu

stom

AB

AP

Rep

orts

Transactions + Operations

Middle MgmtFunctional Areas

Top MgmtC/VP Level

Strategic

Tactical

Plan your work& work your plan


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Where we are

•Start: PLAN Reporting & Analytics

•The Business Reason • The success factors in BW

implementations• Data Modeling

Data design selections• End: REPORTING - Queries and

Analytics


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Primary Reason

• Every DW is initiated for reports, analytics and/or as a data repository.

• With reports as the end, only a planned beginning can assure success

• To ensure successful Reports and Analytics from the BW we must:Collect and document all Reports/ Analytic

requirementsModel all requirements by source and computationsThe modeling phase must isolate 90% of issues and

gapsThen deliver the required reports and analytics

Key Feature

Timers

Memory

RAM

Chips

Contract

Direct

Disti

Reportingv/s

M I S

Queries and Analytics


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Sample Business Reasons

Supply chain informatics Accurate PO and Vendor information (info) Accurate Production capacity, output, rejections and shipment info

Customer and material reporting Consolidated customer and material info across companies and

regions

Margin analytics by selection Margin by total company, partner companies, regions, sales offices,

materials, customer and material groups, etc

Accurate up to date and online stock information Material and valuation from every partner storage location

Tactical and Strategic information Competitive analytics by market segments and regions Service offering trends and projections and their impact on

Operations


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BW 3.0x options and ROI

BW 3.0xPure WEB

Query Designer

SAP Non SAP Legacy

APO SEM CRM BW DW

CAPTURE

Downward Integration

Upward Integration


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Where we are

• Start: PLAN Reporting & Analytics

• The Business Reason • The success factors in BW



Analytics


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5 reasons contribute to 70% of the success of all data warehouse projects. 2 the balance 30%

1. Define Business Reasons2. Proven Methodology 3. Implement POC / CRP

1. From a Workshops to a Pilot ‘Proof of Concept’

4. Conduct detailed Multi-dimensional data-modeling

5. Plan your Reports and Analytics6. Experienced Partner selection7. Planned procedures, documentation and knowledge

transfer

The 7 Steps of success (SF*)

* SF = Success Factor


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SF 1 – Methodology

Best Practice

5%

50%20%

10%

15%

Report Gathering Data Modeling Construction Other Report & Analytics

BW Best PracticeStart

Proof of Concept /

understanding BW

Modeling Construction

DW Best Practice(Ralf Kimball)

30%70%



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SF 1 – Methodology II

• Collect Reports and document Current reports from production systems with ID Reports being generated off-line with ID Wish List reports not yet generated

• Code and track Report requirements• Define and plan Dimensions,

Characteristics, Attributes, and ‘Key Performance Indicators’

• Map Data-Flow

Reports Track

Solution

KPI’s

Building Block

40B > 46C1

Base MM

PSA

Base SD

ConsolidatedDRM

DetailedDRM

DRM

MM

BaseFI

SDFI



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SF 1.2 – Proof of Concept

• Must be followed after a overview understanding of BW functionalities, i.e. in workshops

• Also known as CRP ‘Conference Room Pilot’ demonstration –

• WHY is this importantEssential for end-users to understand the

functionalities and limitations of BW Imperative for answering data-modeling

questions for designing the BW Imperative for defining KPI’s, Calculations,

formulae, change data management, etc



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Where we are




Data design selections• End: REPORTING - Queries

and Analytics


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Data modeling ..without a

clear goal atthe end of design

beginningthe design phase

becomes Totally redundant..

InfoCube

The BW is ju

st

a reposito

ry

between your

source

and require

ments

* DM = Data Modeling


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Work Plan

Company 1 70:30 1 week gathering all reports 2 weeks coding the reports 1 week defining business drivers 1 week defining KPI’s 2 weeks data modeling 5 weeks constructing 1 week debugging 4 weeks reporting

Company 2 10:90 2 weeks gathering reports Little coding Assumed business drivers Assumed KPI’s ½ day data modeling 5 weeks constructing 1 week debugging 2 week reconstructing 3 days debugging 2 week reconstructing 3 days debugging 2 week reconstructing 2 days debugging 4 weeks reconstructing ……

Best Practice

* DM – Data Modeling


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Reports and Analytics

• 2 primary reason’s for every BW (1) Reports and Analytics, (2) End User

•Do not ever forget the End User, they are the key to the success of every BW. Involve them

•No single OLAP tool will ever meet all end-user requirements.

– Start with BEx as the beginning tool– Analyze vendors on differentiating factors

(Requirement v/s how each product compliments BEx)

* DM – Data Modeling


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Delivered v/s Customization

Data Modeling requirement

DeliveredBusinessContent

Dat

a M

od

eli n

g R

equ

irem

ent s

Extension CustomCubes

100%

The higher the customization higher is the Data modelingrequirement

BW Resource Planning

The higher the customization higher is the technical resource requirement

DeliveredBusinessContent

Extension CustomCubes

Functional ResourcesTechnical R

esources

Hi usage

Low usage

DM = Data Modeling


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BW Information Architecture

Analytics via the web

WEB

InfoCube

InfoCubeODS Object

OLTP – SAP R/3

Simple Query

Multi-Cube

MultiCube Query

ODS Query

Jump Queries

Drill Through

Remote-Cube

ExternalSource

DM = Data Modeling


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BW Snowflake Star-Schema

FACT

Sales Area

Text

SID Table

Master

Hierarchy

Text

SID Table

Master

HierarchyText

SID Table

Master

Hierarchy

Text

SID Table

Master

Hierarchy

Text

SID Table

Master

Hierarchy

Text

SID Table

Master

Hierarchy

Text

SID Table

Master

Hierarchy

Text

SID Table

Master

Hierarchy

Text

SID Table

Master

HierarchyText

SID Table

Master

Hierarchy

Text

SID Table

Master

Hierarchy

Finance

Customers

Material

DISTI

Big Leap = 13 Dimensions = x DimensionsEach DIM can take 248 Characteristics = Dimensions

Total Dimensions possible in BW = 13 x 248 = 3,224

DM = Data Modeling


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ERM

Customer

Material Sales Person

Material group Sales Department

Customer noCustomer nameCityRegion

Material noMaterial nameMaterial type color price

Material group noMaterial group name....

Sales TransactionDateCustomer noMaterial noSales pers noAmountQuantityCurrency

Sales pers. noSales pers. name.......

Sales dep. noSales dep. location.......

DM = Data Modeling


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ERM > Star Schema

CustomerCustomerStreetStreet SalesPersSalesPers SalesRegionSalesRegion MaterialMaterial UnitUnit DateDateDate

Customer SalesPers Material Date Amount Quantity

Ides Gmbh Meier Monitor 981118 1000 2

Customer SalesPers Material Date Amount Quantity

Ides Gmbh Meier Monitor 981118 1000 2

Ides Gmbh Meier Monitor 981118 Sales Rep ID

LastNameSalesDep

Material ID

Material NameMaterial TypeMaterial Group

Customer ID

Customer NameCityRegionOffice Name

Time Code ID

YearFiscal YearQuaterMounthDay of the Week

Material IDSales Rep IDTime Code IDCustomer IDSales AmountQuantityUnit Price

Time DimensionCustomer Dimension

Sales Org DimensionMaterial Dimension

FACT??

Customer

City

Region

Material Group

Sales order

Price

Sales Person

Sales Dept.

Sales Dept. Loc.

Material

Material TypeColor

PlanGranularity

Best Practice

DM = Data Modeling


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DM-2 __ Star Schema > InfoCube

Sales Rep ID

LastNameSalesDep

Material ID

Material NameMaterial TypeMaterial Group

Customer ID

Customer NameCityRegionOffice Name

Time Code ID

YearFiscal YearQuaterMounthDay of the Week

Material IDSales Rep IDTime Code IDCustomer ID

Sales AmountQuantityUnit Price

Time DimensionCustomer Dimension

Sales Org DimensionMaterial Dimension

FACT

MDM/ Star Schema

SAP BW

Material DIM ID OrgStr DIM IDTime Code ID ....Quantity.....

SalesRep ID

Last Name...

Material DIM ID

Material IDMatType

Material ID

Mat.descriptionMatType...

OrgStr. DIM ID

SalesRep SalesDep SalesDep ID

Address...

Best Practice

DM = Data Modeling


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Plan & Strategize

DM = Data Modeling

• Change of data management, I.e. Customer in Region 1 goes to region 2 in the future

• Dimensions, Characteristics, and attribute relationships – and their multi-dimensional relationships

• SID table functionalities and plans, I.e. time dependant or not

• OtherHierarchies, Partitioning & Compression, Navigation

Attributes, Variables, Reporting alternatives, etc


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Trade offs

Granularity (detail) v/s space, access speed

Navigation Attributes (ease) v/s speed

Aggregation (speed/ease) v/s no detail

Partitioning (segregation) v/s single point of access

Design (planned) v/s random growth and confusion

Archiving (space) v/s historical access

Compounding objects (identity) v/s loss of uniqueness

Performance (easy of use) v/s all above

Roll-up Planning (planned) v/s fire-fighting

Tip

DM = Data Modeling


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Where we are



implementations• Importance of Data Modeling• Data Modeling


Analytics


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Design Criterion – 1 Rules of changes

Option 3:

SS1 SS2

PSA

O D S

InfoCube

Business Rules

O D S

MultiCube

Option 2:

SS1 SS2

PSA

O D S

InfoCube

Business Rules

Business Rules

O D S

MultiCube

CLEAN

Security

Checks&

DataValidation

Tip

Option 1:

SS1 SS2

PSA

O D S

InfoCube

Business Rules

Business Rules

O D S

Business Rules

MultiCube

Business Rules (dev)

DM = Data Modeling


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Where we are

• Start: PLAN Reporting & Analytics• The Business Reason • The success factors in BW

implementations• Importance of Data Modeling• Data Modeling

Data design selections

• End: REPORTING - Queries and Analytics


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Reporting Options

Standard BEx (modified MS Excel)• Approved BW OLAP vendors

1. Integrating reports in the SAP Portal system:– mySAP Workplace (now SAP

Portal): Drag & Relate, MiniApps

2. Running reports against the SAP Business Information Warehouse (BW):– SAP BW: ODBO/BAPI*

3. Running reports against SAP, and non SAP sources:– SAP R/3: RFC/BAPI**/

conversions


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OLAP Vendors

VENDOR Product SAP R/3 BW OtherSAP BEx arcplan dynaSight Brio Brio Report, Query Business Objects Bus Query, WebIntell Cognos Power Play, Visualizer Comshare Decision Crystal Decisions Enterprise, analysis ESRI Connect IBI WebFOCUS MIS Alea, OnVision SAS Enterprise Guide Viador E-Portal Suite


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OLAP Vendors – S&W

VENDORS Strengths Weaknesses

B Ex • The greatest OLAP tool to start with• Uses an extended Microsoft Excel front end that need little training

• MS Excel limited reporting• Limited Graphical and MIS capabilities

arcplan • Large European Operation •ONLY MIS Analytics supplier• Integration with BAPI and ODBO• Integration with SAP Business Intelligence• Integration with R/3/ BW / SEM for write-back

• Limited reporting and ad-hoc analysis• Low visibility in the US

BrioTechnologies

• Operational reporting for R/3• Usability of Brio Enterprise for manipulating and formatting

• Separate product for SAP and BW•Limited Interactive analysis with BW

BusinessObjects

• Integrated reporting & analysis• Specialized Query interface• Publishing information to users

•Outdated rapid deployment template for SAP• Additional cost for BusinessQuery• No R/3 reporting capabilities

Cognos • Complete ETL, mart, tool• Strong reporting and mobile abilities• Good visualization and customization

•Limited reporting via PowerPlay• External Catalogs/mart needed for reporting• External marts needed for applications

Crystal Decisions

• Integration – Workplace, BW, R/3• Operational and BW Reporting• Totally supported and integrated with SAP, strategic partner with BW

• Minimal direct sales and consulting presence• Limited interactive analysis for BW

Information Builders

• Operational and BW reporting• I-vision solutions for R/3• Scalability and performance

• Limited ad-hoc reporting• Lack of usability for interactive report analysis


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OLAP Vendors – Analysis


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Use this section to drag & drop restrict / selection of data. For example, if you want to only view Tracking Partner 1062 you would drag Tracking partner here, right click on the object and click on the [Restrict] selection. Next you would select tracking partner 1062. This will ensure that THIS query only filters data of Track Partner 1062.

use to resort and recalculate the data along defined parameters. For example drag Material here to enable analysis along Material selection. This section fills the Rows headers for the Excel BEx.

This section displays the Cube design and displays all the selections available from the cube for the query / analytics.

This section fills the Column headers for the Excel BEx.

This section will provide a preview of the design that the query will take as objects are attached on to the Query design template. The only sections that will impact this design is the ‘Rows’ and ‘Columns’ selections

InfoCube to Query Relationship – 1

End-User Doc


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What a BEx Report contains

Whereto

FIND it

Take-Home


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REPORT 1 – BEx Query A

D Available Stock

JP

USA

GER

EUROASIA MIDEST

JP

USA

GER

EURO

ASIA

MIDEST


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REPORT 2 – BEx Query B

D Available Stock

0

200000

400000

600000

800000

1000000

1200000

AVNET

WYLE

INSIT

E

e-DIS

T

LOCUS

PARAMONT

NETSERVE

TOTAL

SYNOP

D Available Stock


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REPORT 3 – Enhanced MIS

Timers

Memory

RAM

Chips

Contract

Direct

Disti

Great

Feature


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Takeaways

• PLAN YOUR WORK AND THEN ONLY WORK YOUR PLAN• Follow tried methodologies, and proven templates

(do not try and reinvent the wheel)

Define Business Content Gather Reports and Analytics requirements Implement Proof of Concept

20% Commence Data Modeling 40-50%

Partner with an experience Get Steering committee approval on reports and models Get USER commitment on reports and expectations Construct and Configure the BW Select OLAP tools and options GO Live Post go Live plan and work

Don't Forget

}


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1 slide to tell it all

plan it, understand

it, schedule it, manage it


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Your Turn

Questions?Hari Guleriaicm AMERICA

[email protected]:(408) 835-9552

Off: (610) 647-9000 ext 4835www.icmamerica.com


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Name Desig.

Tel Email

Company City

Address City

State ZIP

R/3 Ver BW Ver

BW Since InfoAreas

Upgrade/New Plans

Approx month/yr

Question:

Questionnaire format

Email: [email protected]: 610.647.9177


Documents

100% [email protected] Your assurance to success – partner with experience Increase BW success by 70% Hari Guleria icm AMERICA