Business Intelligence Foundation - DOAG Deutsche ORACLE ... · OLTP & ODS Systems Data Warehouse Data Mart SAP, Oracle PeopleSoft, Siebel, Custom Apps Files Excel XML Performance

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Business Intelligence FoundationMit Standards die Qualität steigern, Kosten senken, Sicherheit verbessern

Andreas Klein

Senior Manager Sales Consultants BI

Meeting the Challenge: The 2009 CIO Agenda

Top 10 Business Priorities RankingBusiness process improvement 1

Reducing enterprise costs 2

Improving enterprise workforce effectiveness 3

Attracting and retaining new customers 4

Increasing the use of information/analytics 5

Creating new products or services (innovation)

6

Targeting customers and markets more effectively

7

Managing change initiatives 8

Expanding current customer relationships 9

Expanding into new markets and geographies 10

Top 10 Technology Priorities RankingBusiness intelligence 1

Enterprise applications (ERP, CRM and others)

2

Servers and storage technologies (virtualization)

3

Legacy application modernization 4

Collaboration technologies 5

Networking, voice and data communications 6

Technical infrastructure 7

Security technologies 8

Service-oriented applications and architecture

9

Document management 10

Source: Gartner EXP (January 2009)

From Disk to Dashboard

Hardware

• Exadata (DataWarehouse)

Betriebswirtschaftliche Anwendungen

• Enterprise Performance Management

• Business Intelligence

Betriebswirtschaftliche Inhalte

• Oracle BI Apps

Präsentationsform

• wenn Reports nichts aussagen !


Hardware






• Oracle BI Apps

Präsentationsform


SUN Oracle Database MachineGrid – Architektur für alle Applikationen

5

Exadata Storage Server Grid

• 14 hoch-performante und

kostengünstige Storage Server

• 100 TB raw SAS Plattenplatz

oder

336 TB raw SATA Plattenplatz

• 5TB Flash Storage!

RAC Database Server Grid

• 8 hoch-performante und

kostengünstige Server

• 2 Intel quad-core Xeons pro

Server

InfiniBand Netzwerk

• 40 Gb/Sek. fehlertolerantes

Netzwerk für Server und Storage

6

Exadata Flash Löst den Random I/O Engpass

• Sun Oracle Database Machine hat

5 TB Flash Storage• 4 hoch-performante Flashkarten in jedem

Exadata Storage Server

• Sun Flash Accelerator F20 PCIe Karte

• Smart Flash Cache speichert “hot

data”• Das Caching Verfahren ist wesentlich weiter entwickelt als

simples LRU Verfahren

• Wissen, ob Caching sinnvoll ( -> Full Table Scans )

• Erlaubt die Optimierung auf Tabellen Ebene für

ApplikationenOracle – die erste Flash

optimierte Datenbank

Neu


Hardware






• Oracle BI Apps

Präsentationsform


Oracle Hyperion Financial

Management

Data WarehouseData Mart

OLTP & ODS Systems

Business Applications

Statutory Reports from Financial Reporting

XBRL Financial Reporting

Management Reports from

OBIEE

Financial Data QualityManagement

Tax Provisions & Adjustments

EPM: KonsolidierungOracle Hyperion Financial Management

Sophisticated, High Performance, Planning Engine

Oracle Essbase

Web Client Excel Client Desktop Client (Disconnected)

Financial

Planning

Workforce

Planning

CapEx

Planning

Sales

PlanningMarketing

Planning

Supply Chain

Planning

Production

Planning

BusinessApplications

Oracle BIEE Server


OLAP(Essbase)

OLTP & ODSSystems

EPM: Planung & BudgetierungOracle Hyperion Planning

Copyright © 2009, Oracle and / or its affiliates. All rights reserved.

BI: Sehen wir die wichtigen Informationen ?

1556


BI: Unattentional BlindnessWas können wir eigentlich wahnehmen?

• Youtube-Video:

• http://www.youtube.com/watch?v=Ahg6qcgoay4

• University of Illinois

• http://viscog.beckman.illinois.edu/flashmovie/15.php

http://www.youtube.com/watch?v=Ahg6qcgoay4

http://www.youtube.com/watch?v=Ahg6qcgoay4

http://viscog.beckman.illinois.edu/flashmovie/15.php

OLTP & ODSSystems

DataWarehouseData Mart

SAP, OraclePeopleSoft, Siebel,

Custom Apps

FilesExcelXML

Performance

ManagementAngepaßtes

Reporting

Vorgefertigte

ApplikationenBusiness

Intelligence

Analytics

Data

Federation

Custom

Data Marts

Datenzugriff

Daten Silos

SQLBatch

Scripts

Data Hubs

OLAP

Daten

Migration

Java

Daten

ReplikationData

Warehousing

BI: Haben Sie das noch im Griff ?

13

Schwierige

Administration

Begrenzte

Skalierbarkeit

Nicht

vertrauenswürdige

Daten

Fragmentierte

Datensilos

Fragmented

data Silos• Higher Costs

• Increased Risk

• Poor Decision Making

• Höhere Kosten

• Erhöhtes Risiko

• Mangelhaft

fundierte

Entscheidungen

BI: Welchen Einfluß hat das auf Ihr Geschäft?

Unzugängliche

Information

Standardisiertes Berichtswesen

ErweiterteAnalysen

Ad-hoc Abfragen & Reporting

BI: Werden zur Abdeckung aller Anforderungen

mehrere Werkzeuge benötigt ?

• Ineffiziente Prozesse

• Inkonsistente Daten

• Ungenaue

Schlussfolgerungen

Modellierung

Insight gap

Insight gap

Insight gap

• Dashboards

• Autom. Verteilung

• Pixel-genau

• Was-wäre-wenn

• Szenarien

• Verteilung

• OLAP-Funktionen

• Parameter-getrieben

• Selbstbedienung

• Vorhersagende Analyse

• Verteilungen / Verdichtungen

• Mengenbasierte Analyse

Standardisiertes Berichtswesen

ErweiterteAnalysen

Ad-hoc Abfragen & Reporting

BI: Werden zur Abdeckung aller Anforderungen

mehrere Werkzeuge benötigt ?

• Ineffiziente Prozesse

• Inkonsistente Daten

• Ungenaue

Schlussfolgerungen

Modellierung

Insight gap

Insight gap

Insight gap

• Dashboards

• Autom. Verteilung

• Pixel-genau

• Was-wäre-wenn

• Szenarien

• Verteilung

• OLAP-Funktionen

• Parameter-getrieben

• Selbstbedienung

• Vorhersagende Analyse

• Verteilungen / Verdichtungen

• Mengenbasierte Analyse

Modellierung

Erweiterte

Analysen

Ad-hoc Abfragen

Berichte

Standardisierte

Berichte

OLTP & ODSSystems

DataWarehouseData Mart

SAP, OraclePeopleSoft, Siebel,

Custom Apps

FilesExcelXML

Performance

ManagementAngepaßtes

Reporting

Vorgefertigte

ApplikationenBusiness

Intelligence

Analytics

Data

Federation

Custom

Data Marts

Datenzugriff

Daten Silos

SQLBatch

Scripts

Data Hubs

OLAP

Daten

Migration

Java

Daten

ReplikationData

Warehousing

BI: Haben Sie das noch im Griff ?

Common Enterprise Information Model

BI: Standardisierung als Unterstützung

BI: Informationszugriff, immer und überallEine Plattform, ein Modell, unbegrenzte Zugriffsmöglichkeiten


SAP, Oracle

PeopleSoft, Siebel,

Eigene Anwendungen

Files ExcelXML

BusinessProcessEssbase

Daten

Migration

Ad-hoc

Analyse

Interactive

Dashhoards

Reporting &

PublishingMobile

Analyse

OLTP & ODSSysteme

Essbase &

OLAP

Option

BI Server


Integrierte Sicherheit, Benutzerverwaltung, Personalisierung

Multidimensionale Berechnungen und Integration

“Intelligent Request Generation” und optimierter Datenzugriff

MS Office

Integration

Proaktive

Analysen

und Alarme


BI: Business Intelligence ServerKonsistent, wiederverwendbar, flexibel, sicher

Benutzerrollen und Präferenzen

Vereinfachte Sicht

LogischesSQL Schnittstelle

PRESENTATION LAYER

Dimensionen

Hierarchien

Kennzahlen

Berechnungen

Aggregations-Regeln

Zeitreihen

SEMANTIC OBJECT LAYER

PHYSICAL LAYER

Anbindung physikalischer Datenquellen

Verbindungen

Schema

Rollen-basierte Sicht auf für den

Benutzer relevante Information

Einheitliche Definition von

Unternehmenskennzahlen, Metriken,

Berechnungen

Einmal modellieren, vielfach

wiederverwenden


Hardware






• Oracle BI Apps

Präsentationsform



ETL

Vorkonfigurierte DWH-Modelle und ETL-Routinen

vordefinierte Dashboards

Sales

Service

Marketing

Order Management

Supply Chain

Finance

Human Resources

Projects

Procurement

Call Center

BI Apps: Fertige BI ApplikationenETL, Datenmodell und Dashboards


DASHBOARDS&

REPORTS

Prebuilt best

practice library

―One size does

NOT fit all‖

SUBJECT AREAS

Many metrics and dimensional

attributes not surfaced by prebuilt

dashboards and reports

Possibilities are endless

Incremental work to build tons

more content from this foundation

BI Apps: Mehr als Dashboards und ReportsDer Wert der BI Apps liegt unter der Oberfläche

BI Apps: Sales Analytics

• Pipeline Reports

• Forecast and Actual versus Quota

• Top Current Quarter Opportunities

• Sales Effectiveness Reports

• Average Days from Quote to

Order

• Average Order Size by Quarter

• Demand Generation Reports

• Open Opportunities by Campaign

• New Opportunities by Quarter

• Action Plan Reports

• Account Coverage Action Plan

• Opportunity Coverage Action Plan

Dashboards & ReportsDimensionen & Kennzahlen

Objective

Prospecting

Cross-Selling and Up-

Selling

Managing my Territory

and Forecasting

Accurately

Customer Care

User Adoption &

Alignment

Oracle Sales Analytics “Best Practices” Analysis

My Top Leads (by quality, revenue opportunity, etc.)

My Competition by Product Line and Account

My Cross-Sell Candidates

My Next Product Most Likely to be Sold

My Products Most Likely to be sold Together

My Discounting Recommendations

My Pipeline Health

My Forecast and Actual versus Quota

My Overdue Activities by Type, Account, Opportunity

My Personal Report Card

My Customers Order and Discount History

My Customers Recency and Frequency

My Customers Service Request History and Open SRs

My Customer Satisfaction Scores

My Accounts that need Coverage

My Outdated Information (Opportunities that need updates)

My Information Completeness (Accounts and Contacts missing key

information)

Sales Representatives can quickly

gain insight into who they should

be selling to; what they should be

selling; and what opportunities

they should focus on

BI Apps: Einblicke für den Vertriebsmitarbeiter

Objective

Employee Effectiveness

Marketing, Product and

Sales Campaign

Effectiveness

Forecasting

User Adoption &

Alignment

BI Apps: Einblicke für den Vertriebsleiter

Oracle Sales Analytics “Best Practices” Analysis

Activities by Employee and Activity Type

Subordinate Report Card

Discounting by Subordinate

Change in Forecast by Subordinate

Health of the Pipeline

Opportunity Revenue by Lead Qualify

Win/Loss Rate by Competitor, Product and Subordinate

Customer Satisfaction

Forecast and Actual versus Quota

Expected Revenue Analysis

Opportunity Revenue by Sales Stage

Detail Forecast by Product and Vertical

System Adoption by Employee

Employee Alignment with Sales Process (Account Coverage,

Opportunity Updates, etc.)

Sales Managers can quickly

determine the overall health of

their team’s pipeline; retrieve

accurate forecasts; and identify

problem areas in their team that

need their attention

© 2008 Oracle Corporation – Proprietary and Confidential 25

Optimize CRM Processes and Performance1,250 Users, 400 Reports, 3 Months, 1 IT Admin

Before

Poor measurement of employee

performance in sales and service

Lack of customer insight - no

consistent, real-time view

Slow “Customer Inquiry Response

Time”

No single source of customer data

for segmentation

High reliance on IT for information

Pitney Bowes is the world’s largest producer of postage

meters. Implemented Oracle BI Applications (Sales, Service,

and Marketing Analytics) to over 1,250 employees.

After

“Turned the tides” in sales force with

better insight into performance

Enhanced sales productivity with 360o

view of customer relationship

Increased customer responsiveness,

leading to greater satisfaction / retention

Unified customer data for better

marketing segmentation and targeting

Customer-facing employees empowered

with the information they need

―One of the most important values of Oracle’s BI solution is its TCO. We created 400

reports used by 1,250 users with a staff of one within a few months—that is very cost

effective.‖ – William Duffy, Data Warehousing Project Manager



Hardware






• Oracle BI Apps

Präsentationsform


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Copyright © 2009, Oracle and / or its affiliates. All rights reserved. 35

Documents

Business Intelligence Foundation - DOAG Deutsche ORACLE ... · OLTP & ODS Systems Data Warehouse Data Mart SAP, Oracle PeopleSoft, Siebel, Custom Apps Files Excel XML Performance