362_Richard Brown

7/30/2019 362_Richard Brown

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Richard Brown, SAP UKI

Head of Business Intelligence SAP UK & I

Roadmap from BW to BI



BW Overview

BI Capabilities of NetWeaver 2004s

Business Advantage of NW2004s


Implementation Experience



BW Overview







SAP AG 2002, Title of Presentation, Speaker Name 4

SAP BW – A success story

Active BW Customers > 6,500

How do you planto leverage SAP BW?

Mixed data: 64%

SAP dataonly: 36%

Are you satisfiedwith SAP BW?

Yes95%

No5%

50 - 25039%

1,000 - 10,00013% < 50

24%

> 10,0001%

250 - 1,00023%

Number of Users

100 - 500 GB32%

500 GB - 1 TB18%

> 5 TB1%

0 - 100 GB26%

1 - 5 TB23%

Approximate DataVolume




Key Features of a Data Warehouse

Data from across all relevant sources internal & external to

the business

Separated Transactional & Analytical environments

End user report creation

Cross functional & targeted reporting

Detailed & summary data

A single version of the the truth




Information Management „Best of breed‟ technologies Rich Business Content -pre-configured Information

models, reports, KPI‟s and extractors Industry Specific Business Content Configurable to specific requirements

Data Extraction Built on the SAP Entity Model SAP and non-SAP data extraction Powerful Data Maintenance and Administration

Powerful Information Analysis Innovative, intuitive user interface Powerful OLAP analysis Web & MS Excel based front-ends Easy integration with Portal

SAP Business Warehouse (BW)


http://slidepdf.com/reader/full/362richard-brown 7/84 SAP AG 2002, Title of Presentation, Speaker Name 7

SAP Business Intelligence

DashboardsTargeted reports

Other3rd PartySales

Interfaces

Credit

ControlSales Finance &

Projects

Self-service

Reporting

BusinessWarehouse

(BW)BusinessContent



SAP BI - Reporting and Analysis For All User Types

Need to dig into the data – explore & find trends

Need personalized information specific to their function

Summary – but with the ability to drill down to the detail

High level analysis (dashboards) - alert to key business

issues & actions


http://slidepdf.com/reader/full/362richard-brown 9/84 SAP AG 2004, Title of Presentation / Speaker Name / 9

Authors & Analysts



Business Managers



Executives



Information Broadcasting1

Universal Data Connection

NetWeaver Integration

Business Planning & Simulation (BPS)4

3

2

BW release 3.5 Overview

Advanced Analytic functionality5



In this example theReport was sent inan MHTML-Formatand is now availablein the personalInbox of theReceiver.

Information Broadcasting via E-Mail



What Are The Broadcasting Channels?

SAP Enterprise Portal 6.0 SP3

Knowledge Management Folders (“BEx Portfolio”)

Available KM Services: e.g. Indexing & Search engines (TREX), Subscription,Downloads, Rating, etc.

Portal Content Catalog (part of the Portal Content Directory)

Collaboration rooms & discussion forums

Email BW users, BW roles or email addresses

Online queries, workbooks & web applications are sent as URLs

Pre-calculated queries, workbooks & web applications are sentas attachments or as inline mail body (MHTML)



What Are Reporting Documents?

Pre-calculated, online and offline reporting documents…

BI Web Applications - Dashboards, cockpits

BEx Analyzer Workbooks

Queries

... in different formats ...

HTML

Device specific (Web Browser, Mobile devices, etc.)

BEx Analyzer Workbooks

Excel files

Emails using Multipart Html (MHTML)

ZIP Files

... containing different kinds of information.

OLAP data, Alerts, Embedded Documents and Filter Navigation



Information Broadcasting – BEx Portfolio

KM Document:

Pre-calculated query,workbook or application

KM Link: Online BW report

Use KM Services for:

Subscription Feedback

Discussion

Collaboration

Rating

TREX search Notes

Download

Queries, Workbooks, BI Applications as KM Documents








3

2






Universal Data Integration

BI Java Connectors to provide access to various data sources (viainterfaces JDBC, XMLA, OLE DB for OLAP, SAP Query)

Based on industry standards for interoperability (JDBC, XMLA, ODBO)

Universal Data Connect to integrate data into BW platform BI Java SDK for custom built Java Applications

SAP

nonSAP

SAPQuery

XMLA

JDBC

ODBO

BIJavaSDK

OL A P

Custom-builtApplications

S A P

E n t er pr i s e

P or t al

UniversalData

Connect

1. BI Java ConnectorsJDBC, XMLA,ODBO, SAP Query

3. BI Java SDKJava API, Examples, Documentation

B E x

BW

S t a gi n g

2. Universal Data ConnectSAP BW Integration




BI Java Connectors

Connectors for various data sourcesLeverages SAP WebAS 6.40 J2EE connectivity for SAP BW

Basis for Universal Data Connect and BI Java SDK Relational Sources

BI JDBC Connector

Industry Standard API for relational DBMS

Connectivity to 200+ JDBC drivers providing data access to: Oracle, MS SQLServer, Teradata, MS Access, DB2, Sybase, Excel, text files (CSV), etc.

See http://java.sun.com for more information

BI SAP Query Connector

Connectivity to operational SAP applications

SAP R/3, SAP CRM, Ad-hoc, operational

OLAP Sources

BI OLE DB for OLAP Connector

Industry Standard OLAP API for MS Windows platforms

Connectivity to MS Analysis Services, SAS, MS PTS, SAP BW

BI XMLA Connector

Web Service-based, platform-independent access to OLAP sources

Connectivity to MS Analysis Services, Hyperion, MicroStrategy, MIS, SAP BW 3.x

The set of connectors will be extended in further SAP BW releases

http://java.sun.com/

http://java.sun.com/




SAP BW – Non SAP-DW Integration Scenario

ERP

DW

Reporting

SAP HR Cubes

BW

Local SkillsDatabase

Non SAP-DW

Various SourcesSAP HR Data

Listing

Personnel DeploymentvSkills profile








3

2






DataSources

BW and XI

PSA

realtime updateDelta-Queue

mySAP.com(via BW Service-API)

SAP BW

http / SOAP

Near RealtimeInfoPackage

StandardStaging

OperationalData Store

Realtime Data Acquisition

Delta-QueueOpen Service

PSAPSA

RFC

SAP XI








3

2



Pl i i SAP BI E l ti




Planning in mySAP BI – Evolution

Future PlanningEnvironment

mySAP BI

SAP BW

Data Management

Modelling

Planning Framework

Process Coordination

Analysis

mySAP FinancialsSEM-BPS Planning

Financial Planning ApplicationsSEM-BPS Planning

Financial Planning Applications

Modelling

Planning Framework Process Coordination

mySAP BI

SAP BW

Data Management

Analysis

Current PlanningEnvironment

mySAP Financials

Pl i l




Planning cycles

August December

Strategic Planning

Strategic Planning and

Target setting on group level

Operational Planning

Operational Planning and Budgeting

in the business units

Headcountplanning

Sales planning

Production planning

Marketing planning

Reconciliation of

operational planswith strategictargets

Strategic Targets(Operating Profit + 4%,

Market share+10%)

Plan evaluation

SAP BI Pl i A hit t




SAP BI Planning Architecture

Data Acquisition

Automatic

Planning

Manual Planning/

AnalysisProcess

control

Access / Storage

Master DataDimensional

DataGranular Data

Common Read / Write Interface

Planning Framework

DWH Layer

Business Logic

Planning Front EndsPresentation

Open Interface and Web Services

Modeling

Portal based Excel Inplace Excel Client ALV GridHTML in GUI

User Interaction

BW l 3 5 O i








3

2



Ad d Ad h R ti



SAP AG 2004, Title of Presentation / Speaker Name / 28

Advanced Ad-hoc Reporting

New web template for ad-hoc analysis

Extensibility: Easy support of customer adaptations in Web App Designer

Enhanced usability and new look-and-feel

New functionality within the template tool bar

W b A li ti D i




Web Application Designer

Chart Designer Wizard(Reduced

Overview)

Result

Data Mining Methods E plorati e




Data Mining Methods - Explorative

A B C 20% of customers

generate 60% of sales

Clustering

ABCClassification

AssociationAnalysis

WeightedScore Tables Customer Age Gender Income

… … … …

… … … …

Score

…

…

Weight

Data Mining Methods Predictive




?Age

Sales

Complaints

# of Products

Gender

Income

Buy

Yes

No

Complaints

Gender

Income

Data Mining Methods - Predictive

>4<=4

MF

<=30 k >30 k

Regression

Decision Trees

No

No Yes

Yes

Analysis Process Designer




Analysis Process Designer

Graphical modeling (drag&drop) and execution of Analysis Processesthat make use of Data Mining to gain new insights and take action –

closed loop Examples of “Analysis Processes” would be the definition of ABC

classes, the calculation of frequency distributions or thedetermination

of Scoring information.

Composite Scenarios: Customer Retention




Composite Scenarios: Customer Retention

A B C

ABC ClassificationDecision Trees Clustering

B

C

A

Loyal

At Risk

Association

AnalysisCross-SellingRules

Marketing Campaign

TransferKnowledge

Goal: Reduce Customer Churn



BW Overview





NetWeaver 2004s




Analytical Applications1

BI Accelerator

Enterprise Data Warehousing

Enhanced Web & Excel Reporting4

3

2

NetWeaver 2004s

Integrated Planning5

SAP NetWeaver™




The total integration and application platform for lower TCO

Unifies and aligns people,information and business

processes Integrates across

technologies andorganizational boundaries

A safe choice with full.NET and J2EE

interoperability

The business foundation forSAP and partners

Powers business-readysolutions that reduce

custom integration It‟s SAP Enterprise

Services Architectureincreases businessprocess flexibility

SAP NetWeaver

C O M P O S I T E A P P L I C A T I O

N F R A M E W O R K

PEOPLE INTEGRATION

Multi channel access

Portal Collaboration

INFORMATION INTEGRATION

Bus. Intelligence

Master Data Management

Knowledge Mgmt

PROCESS INTEGRATION

IntegrationBroker

Bus. ProcessMgmt

APPLICATION PLATFORM

J2EE

DB and OS Abstraction

ABAP

L I F E C Y C L E MA N A GE ME N T

...

The Business Intelligence Platform

http://www.microsoft.com/net/




Architecture Source: Gartner (CPM, 2004)

Web Presentation/Portal/Mgmt Reporting

M o d e l i n g a n d

O p t i m i z a t i o n

C o n s o l i d a t i o n

B a l a n c e d

S c o r e c a r d

B u d g e t

P l a n / F o r e c a s t

S t a t u t o r y

R e p o r t i n g

A d H o c Q u e r y

a n d R e p o r t i n g

DataMart DataMart DataMart DataMart

Data Warehouse

Integration Broker

ERP/CRM/SCM/External Sources

B u s i n e s

s P r o c . M a n a g e m e n t

C o n t e n t M a n a g e m e n t

K n o w l e d g e M a n a g e m e n t

Presentation

CPMApplications

BIInfrastructure

Data

Sources

The Business Intelligence Platform

The SAP NetWeaver BI Platform




Web Presentation/Portal/Mgmt Reporting

M o d e l i n g a n d

O p t i m i z a t i o n

C o n s o l i d a t i o n

B a l a n c e d

S c o r e c a r d

B u d g e t

P l a n / F o r e c a s t

S t a t u t o r y

R e p o r t i n g

A d H o c Q u e r y

a n d R e p o r t i n g

DataMart DataMart DataMart DataMart

Data Warehouse

Integration Broker

ERP/CRM/SCM/External Sources

B u s i n e s

s P r o c . M a n a g e m e n t

C o n t e n t M a n a g e m e n t

K n o w l e d g e M a n a g e m e n t

ProcessIntegration

Strategic Enterp.Management

Powered bySAP NetWeaver

SAP NetWeaver

PeopleIntegration

InformationIntegration

SAP delivers the complete, end-to-end,reliable and open BI Solution.

The SAP NetWeaver BI Platform

NetWeaver 2004s





BI Accelerator



3

2

NetWeaver 2004s


WHAT IS “NEW” ANALYTICS?




Controlling(BW)

Logistics(SCE)

Sales(CRM)

Production(SCP)

Fulfillment (FC)

Fin.-Dptm.(FIN)

Customer

Creation &ReleaseDeliveryRequest

4

UpdateInventory

Accounting

7Update

Inventory

6

DeliveryExecution

5

RequestGlobal ATP

2

Global ATPCheck

3

ReceivesASN

9

ReleaseASN

8

1

CreationSales OrderFulfillmentRequest

CreationPurchase

Order

WHAT IS NEW ANALYTICS?

Example: Sales Order Fulfillment process

WHAT IS “NEW” ANALYTICS?




WHAT IS NEW ANALYTICS?

“360° View ofthe Customer”

“Is customer credit-worthy?”

“smoothshippingProcess?”

“sufficient stockof inventory?”

“extra effort costs $$$?”

Questions & Insights lead to process improvement!

Visual Composer Model




Visual Composer Model



NetWeaver 2004s





BI Accelerator



3

2

NetWeaver 2004s


BI Accelerator




BI Accelerator

Performance OptimizationSAP NetWeaver 2004s provides various tools to increase the data load and query

performance significantly – among them the innovative high performance analyticsapproach. Thus, the implementation of large enterprise data warehouses isfacilitated.

BI Accelerator

A new paradigm for highperformance data access.

Query performance is boosted byorders of magnitude

Simultaneously the realignmentprocesses roll-up and change runare improved significantly

HPA is used in connection withKM search engine TREX

Provides linear scalability and canfully leverage grid and adaptivecomputing capabilities

Target




Target

BI Accelerator

Very fastQuery Response Time

StableQuery Response Time

High Scalability Low Maintenance

Performance Improvement

By Factor 10 in average,Up to Factor 1000 !

Stable Good Query

Response Time – IndependentFrom Database Features,Caches, Aggregates, …

Support of New HardwareParadigms like

Grid Computing, AdaptiveComputing

No Aggregate Maintenance,Unnoticeable „Roll-up‟,

No Change Run

Innovation




Innovation

Column-BasedData Storage and

Access / VerticalTable Decomposition

In-MemoryProcessing

Highly ParallelData Access /

Horizontal Partitioning

Dictionary-based,Smart Compression

Using Integers

What makes SAP BIwith the BI accelerator

so fast?

Introducing BI Accelerator Appliance - 1




g pp

SAPNetWeaverBI Server

data

data

data

data

actionableinformation

Business User

IT Department

System Performance

System performance declining when increasing utilization

Introducing BI Accelerator Appliance




SAPNetWeaverBI Server

g pp

data

data

data

actionableinformation

Business User

IT Department

System Performance

Increase scalability and flexibility, w/o impacting architecture

BIacceleratorappliance

blade

blade

blade

data

2004s

2004s

BI Accelerator of SAP NetWeaver – Architecture




SAP NetWeaver BI

HPA EngineUsing

Adaptive Computing

DataAcquisition

InfoCubes

AnalyticEngine

AnySource

SAP NetWeaver2004s

Preferred Technology Partner

Preferred Hardware Partners

SAP NetWeaver2004s

BusinessExplorer

Any Tool

NetWeaver 2004s

http://www.ibm.com/us/







BI Accelerator



3

2


Modeling the EDW - Flexibility




g y

Data ModelingSAP NetWeaver 2004s provides additional flexibility for implementing new data

models and changing existing ones.

Re-Modeling ToolboxChanging InfoCubes withoutrebuilding them from scratch – improved flexibility

Enhanced DataStore objects(formerly: ODS objects)Improved performance andflexibility

Enhanced InfoSetsImproved flexibility

Integrate InfoCubesinto join condition

Modeling the EDW - DataSource Concept




g p

Data AcquisitionSAP NetWeaver 2004s improves and streamlines the DataSource definition. In

addition, it enhances remote access capabilities.

New DataSource conceptUnified and improved maintenance

E.g. Web Service (XML), UD Connect

Additional DataSources enabled for remote access (including flat files and

DB Connect) Enhanced remote capabilites

Remote master data access – no data replication, low TCO

Remote access of masterdata from source systems

Modeling the EDW - Transformation concept




TransformationSAP NetWeaver 2004s significantly improves transformation capabilities. The

improved graphical UI contributes to decrease TCO.

TransformationImproved performance, flexibility and usability

Graphical UI

Unification and simplification

of transfer and update rules New rule type: end routine

New rule type: expertroutine (pure coding oftransformation)

Unit ConversionCapabilities for unit

conversion during dataload (and reporting)

Running the EDW - Real-Time Data Acquisition




Data Flow ControlSAP NetWeaver 2004s improves and streamlines the data flow definition and the

process chain set-up. In addition, it provides new real-time data acquisitioncapabilities that facilitate operational reporting:

Enhanced real-time data acquisition capabilitiesXML Web service

Direct push into PSA (instead of Service API/Delta Queue)

Near-real-time InfoPackage & DTP

Daemon-based update fromdelta queue (BW Service API)

Daemon-based update ofDataStore objects(ODS layer) – including leanstaging (with minimizedlogging)

EDW – Further enhancements




Modeling the EDW

Data Warehousing Workbench

Improved usability and lucidity

Content Analyzer and Content Browser

New overview-, search- and analysis capabilities for Business Content

Running the EDW

Process Chains

Additional functionality and process types

Data Quality

Improved error handling

Re-partitioning

Supports attaching, combining partitions or complete re-partitioning New Analysis Authorization concept

Higher flexibility and simplified modeling

NetWeaver 2004s





BI Accelerator



3

2


Query, Reporting & Analysis – Designing a Report




Designing a Report

Report design takes place in the

Business Explorer (BEx) ReportDesigner - a new, VB .Net-basedtool that allows to createformatted, print-optimizedreports.

Standard formatting: Font styles(e.g. bold, italic) and colors, etc.

Group level changes with individualformattings

Layout options, for example Height of rows, width of columns

Multiline column headers

Flexible positioning of fields Merger of cells

Support of hierarchies

Rules for the presentation of specialcharacteristic values

Integration of texts, pictures, andcharts

Header and footer for reports andpages

Query, Reporting & Analysis – Designing a WebApplication




Application

Designing a Web

Application

Web application design takes placein the Business Explorer (BEx) WebApplication Designer, a Visual Basic.NET-based, Unicode-compliant tool.

Model-driven BI application

building

Wizards for charts, maps,command editing

Wizard for layout elements (e.g.buttons)

Intellisense“ support for WebAPI developers

Easy integration of native HTMLcommands

New layout elements (Tab stripsetc.)

New Web items

New chart types, e.g. GANTTchart, MTA chart

Design of planning awarebusiness applications

Intuitive Ad-Hoc Analysis – BEx Web Analyzer




Web-based Ad-hoc Design Leveraging Drag & Drop

Easy navigation, when dropping characteristics on top of rows or columns

Easy filtering, when dropping a characteristics to filter area Personalized Filters

Saving and distribution of analysis results through strong portal integration

Close integration toInformation Broadcastingand Knowledge

Management Wizard-based definition of

exceptions and conditions

Query creation on top ofSAP BW and 3rd party data(via XMLA Connectors)

Drag andDrop

BEx Web Printing




Comfortable PDF based BEx Web printing

Any type of BEx Web query, Report or Web Application can be

converted to PDF and printed Leveraging the SAP NetWeaver AS integration with Adobe Document

Service

Adobe Acrobat Reader required, no plug-ins necessary

Printing options can be maintained globally or individually by an

end-user

pdf-conversion of a web item

Excel integration - Workbook Design with BEx Analyzer




Application-building in Excel(similar to Web ApplicationDesigner)

New Options for Queries with 2Structures Excel Formulas allow access to

any cell of the result set Excel Formatting options can be

fully leveraged for BExWorkbooks (e.g blank lines, fontsetc.

Combining Excel Formulas andExcel Formatting allows thedesign of High-End Formatted

solution workbooks

Integration of Business Planning

Workbook Design

NetWeaver 2004s





BI Accelerator



3

2


Business Planning and Analytical Services – Wizard Mode




Planning Model Design – Wizard Mode –

Create a simple model of BI integrated planning by means of the

Planning WizardWeb based modeling environment for planning related tasks

Using the “Road map Pattern”

Business Planning and Analytical Services – Planning LayoutDesign-time




g

Drilldown

Hierarchical data in rows

and columns

Calculated key figures

Structures

Unit conversion

Alerts

Conditions

Graphics

Ad-hoc currency

Currency translation

Query Design (BEx Query Designer)Queries that are based on aggregation level are able to write back to the

InfoProvider

BEx Web ApplicationDesigner Create a layout

Configure a layout

Choose data binding

Configure interaction

Business Planning and Analytical Services – Run-time 2




Web Application Design – Example



BW Overview





Key Business Challenges




Ineffective Decision Making ProcessesDecisions delayed, or made on „gut feel‟ only Key stakeholders not involvedSolid information only available to small „elite‟

Execution not aligned with StrategyStrategy not communicated clearlyIndividual objectives not aligned with strategy

Poor measurement, and no corrective actions

Increasingly Complex Operational EnvironmentLack of insight into customer behaviour and trendsOpportunities frequently missed

Compliance RequirementsCalls for transparencyIncreasing criticality of trustworthy data

Budget ConstraintsNeed to do more with less, and need to justify expenditures





NW 2004s - Analytical Applications

Business actions based on informed decisions.

Ineffective Decision Making ProcessesDecisions delayed, or made on „gut feel‟ only Key stakeholders not involvedSolid information only available to small „elite‟





NW 2004s - Enterprise Data Warehousing

Truly scaleable solution

Supporting all BI needs of the organisation

Increasingly Complex Operational EnvironmentLack of insight into customer behaviour and trendsOpportunities frequently missed





NW 2004s - BI Accelerator

Truly scaleable solution

Lower administration cost

Consistent and quick user response

Budget Constraints

Need to do more with less, and need to justify expenditures





NW2004s - Integrated Planning

Integration platform for analysis and planning.

Planning systematically delivered to all levels of theorganisation

Execution not aligned with StrategyStrategy not communicated clearly

Individual objectives not aligned with strategyPoor measurement, and no corrective actions



BW Overview





Deployment of BW




R/3 Reporting

Informationdelivery inmySAPsolution

Data

Warehousewhere SAP isone of the ERPsolution

Standalone

DataWarehouse

AnalyticalApplication

BI Complexity

S A P P e

n e t r a t i o n

Phased Roll Out




Multi-Business

Data Warehouse

Business Unit

Data Warehouse

Subject Specific Data Mart

Size

Time

Think bigbut start small

Start small and fast




Scope of project

BW skill customer

AdditionalSubjectareas

ExtendingContent

ExternalData

BW Content

Delivery Cycles

C

o

n

c

e

p

ts

Rapid Implementation step by step




Selected subject area

Defined scope

Business Content as a basis for implementation

Minor but User-significant enhancements

Achieve the 80% solution and demonstrate results

Receive feedback

Incorporate into subsequent delivery cycles

Rollout to other subject area (maybe in parallel)

Parallel work in frontend, extraction and datamodel team

Use the power“ of BW

Extend with external data sources

Combine information from different applications

Benefit of the Rapid Implementation




Rapid ROI / deliverable benefit to the business

Establish positive view of the product within user base

Establish stable technology infrastructure early in project

Transfer overall product knowledge to ensure subsequentimplementations are appropriately resourced

Train members of the implementation team

Suolution Manager & Accelerated BW Method & Tools




Highest Level : Maps to ASAP

Lowest Level : Incorporates BW-Specific Activities / Accelerators

Key Enablers : Included to Assist the Customer and Consultant

Evolving : Continually Being Refined and Enhanced by BWexperts in development and consulting

Skills




The skills required will be driven by the scope of theimplementation

Scope of Implementation Business Contents with minor enhancements?

Significant non-SAP data sources?

Enterprise Data Warehouse?

Skills BW Implementation experience

Operational users

SAP source knowledge

Data Warehousing architecture

BASIS / WAS knowledge

Project Team Structure




DW Architect

BW SolutionArchitects

BWAdministrator

BusinessKey Users

BusinessKey Users

BusinessKey Users

IT Business

Implementation Team - Mix of Resource




SAP/ Partner

Internal

Time

ConsultingEffort

Key Success Factors




Management buy-in

Involve user community early in the project life cycle

Strong implementation team

Business understanding & empowerment

SAP skills

BW knowledge

DW skills

Rapid, step-by-step, reiterative implementation

delivery cycle concept

early success

feedback



BW Overview



