Talk IT_ Oracle_박소희_110809

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BI 플랫폼의 새로운 트렌드와 요소기술

2011-08-09

박소희Oracle EPM/BI


The following is intended to outline our general

product direction. It is intended for information

purposes only, and may not be incorporated into any

contract. It is not a commitment to deliver any

material, code, or functionality, and should not be

relied upon in making purchasing decisions.

The development, release, and timing of any

features or functionality described for Oracle’s

products remains at the sole discretion of Oracle.


Agenda

• Business Intelligence Challenges

• Solution Overview

• Customer Success

• Conclusion and Next Steps


• “One-off”, ad-hoc analyses are difficult to re-use

• Scenario modeling is manual and time intensive

• Difficult to link strategy to the real-world facts

Fact: Disconnect Between Analytics and Action

What Happened? Why Did it Happen?

Take Action Who Does What?

How to OptimizeAcross Alternatives?


• Multiple BI tools impact analytical productivity

• Flawed view of business performance

• Emergence of shadow BI

projects

• Higher costs from fragmented BI infrastructure

Fact: Expensive Analytic Silos Perceived as Quick Fix

MARKETING

FINANCE

MANUFACTURING

SALES


Fact: BI Requirements Continually Evolve

• 50% of analytic requirements changed in the first year

• Difficult to incorporate new or emerging data sources

• Expensive to integrate BI with IT infrastructure

• Development risk is result

50%CHANGE



Solution Overview:Oracle BI Foundation


Oracle Business Intelligence Foundation Built to Last and Made For Change

First Intelligent Business Process

Improve business performance by linking

insight to action

Lowest Cost of Ownership

Reusable analytic assets deliver productivity and

provide consistent enterprise metrics

Start Small and Evolve

Manage risk with single analytic framework across a range of schemas and deployment options





insight to action







“Business intelligence is moving into the

context of the business process, not just to

make users’ information experience more

effective, but also to allow for business

process optimization.”

Insight Driven Business Processes


Intelligent Decision CycleAnalytics Power Intelligent Business Processes

1

What Happened?

4 Take Action Who Does What?

2

Why Did it Happen?

3 How to OptimizeAcross Alternatives?


Intelligent Decision CycleAnalytics Power Intelligent Business Processes

Why Did it Happen?

1

What Happened?

4 Take Action Who Does What?

2

3 How to OptimizeAcross Alternatives?

KPI Watch List: Customer satisfaction and renewal rates are below expectations

Analyze: Extra support required for retail customers, no margin for additional support.

Should we adjust discounts at retail?

Model: How much extra cost to satisfy retail vs. online customers? How much in lost sales if discounts are reduced?

Approve: new discount policy for retail stores

Update: KPIs and track performance against new targets


Set Strategic Goals, Track Initiatives and Detect Variances

1

What Happened?


Unified Interface for all Analytic Functions Improves User Adoption and Self-Service

2

Why Did it Happen?

•Single analytic view across all data sources.

•Advanced interactive analysis, regardless of data source

•Same powerful analytic context available in Microsoft Office tools.


“Senior executives want scenarios and

simulations that provide immediate guidance

on the best actions to take when disruptions

occur – ranging from unexpected competitors

or an earthquake in a supply zone to a

customer signaling a desire to switch

providers.”

What MIT Sloan Is Saying


Create Scenarios to Model Future Outcomes

3

How to Optimize Across Alternatives?

• Model Complex Business

Scenarios

– Advanced calculation

engine

– Intuitive dimensions,

derived metrics

• Single view of the business

• Centralized, User-oriented

– Functions, calculations,

consolidations


4

Take Action Who Does What?

Link Insights to ActionEmbed BI to Shorten Decision Cycles


Intelligent Decision Cycles In the OrganizationPervasive Insight-Driven Management Processes

• Shared KPIs

• Shared Metrics & Targets

• Consistent Metadata

• Tie Strategy to Operations

Drive intelligence decision cycles across all levels of

management from strategy to operational execution

STRATEGIC

PLANNING

OPERATIONAL





insight to action







Reusable Analytic AssetsCommon Enterprise Information Model Enables Scale

• User Roles, Preferences

• Simplified View

• Member Selection

• Logical SQL Interface

PRESENTATION LAYER

• Dimensions

• Hierarchies

• Measures

• Calculations

• Aggregation Rules

• Time Series

SEMANTIC OBJECT LAYER

• Map Physical Data

• Connections

• Schema

PHYSICAL LAYER

• Insulates Users from

Complexity

• Consistent Definition

of Business Metrics

& Calculations

• Easier Maintenance

• Model Once, Deploy

Everywhere

• Any Set of Data Sources

MORE VALUE

REUSABLE


Analytical Collaboration Improves Productivity

InteractiveDashboards

Office Integration

Secure Search

ProductionReporting

Ad-hoc Analysis

Scorecards

Strategy Maps

GeographicVisualization

Embedded in Applications

Mobile

Business Processes

ScenarioAnalysis

Predictive Analysis

Tablet


Middleware Integration Lowers Deployment Costs


Application-Driven BIStandards-based Application Integration





insight to action







Start Small and Evolve Your BI StrategySingle BI Foundation For All Analytic Functionality

OperationalReporting

Interactive Dashboards

ScenarioAnalysis

Strategic Scorecards

ProcessIntegration

PredictiveAnalytics


Direct Reporting Against Any Data SourceAny Data Source Becomes an Information Asset

Data Warehouse

PackagedApplications

BusinessProcess

OLAPCubes

UnstructuredData

XML Files


Choice of Deployment Options

Public Cloud Private Cloud

On Premise Hybrid

Deployment Options





insight to action








Customer Success


Business Intelligence CustomersBusiness Analytic Tools and Applications

Retail Aero / Industrial Insurance / Health Life Sciences Travel & Transport

Communications Public Sector Finance / Banking Consumer Goods High Tech

http://www.autodesk.com/

http://www.goldmansachs.com/

http://www.loreal.com/us/index.asp

http://www.bt.com/index.jsp?BV_SessionID=@@@@0465278720.1086302531@@@@&BV_EngineID=cccjadcljfhiihecflgcefkdffndfnn.0&obsOID=30777&obsPage=/index.jsp&vStore=1128&obsType=LINK&obsNoSee=true

http://www.astrazeneca.com/ncm.aspx

http://www.telecomitalia.it/cgi-bin/tiportal/TIPortal/ep/home.do?BV_UseBVCookie=Yes&tabId=0

http://www.emersonmotors.com/index.htm


BT Sharpens its Intelligence with Oracle BI

BT is one of Europe’s leading providers of telecommunications services, with over £8.5 billion in revenue and over 18,000 employees.

Before

Need to replace slow, fragmented

reporting processes

Desire to develop more timely insight

into sales, marketing, and service

interactions

Need to avoid duplication in customer

communications

Want the ability to monitor and

manage customer and business

performance.

After

Implemented OBIEE in 100 days to

1,200 sales, marketing, and service

staff

Ability to monitor and manage

customer and business performance

Improved access to sales opportunity

pipeline data

Replaced 95% of manual sales

reporting

Reduced cost per lead by 41%

http://www.bt.com/index.jsp?BV_SessionID=@@@@0465278720.1086302531@@@@&BV_EngineID=cccjadcljfhiihecflgcefkdffndfnn.0&obsOID=30777&obsPage=/index.jsp&vStore=1128&obsType=LINK&obsNoSee=true


Rapid Deployment and Quick ROI7-Figure return in 5 months

Before

Expensive, error prone, time

consuming manual process to

generate spend data

Users combining data from 14 QAD

instances, Salesforce.com, SAP,

Manugistics, MSFT Access and Excel

Several multi-year Cognos projects

had failed to deliver value

No single source of truth for spend

data; supplier rebates were being

missed

Black & Decker: Hardware & Home Improvement Group was formed in 1989 as a division of Black & Decker. Headquartered in Lake Forest, California, the revenue of this division exceeds $1B.

After

Procurement & Spend Analytics +

Essbase deployed in 16 weeks

Provides “visibility to spend data that

was previously unavailable”

IT spend reduced 36% vs previous

Cognos solution

SG&A report produced in 5 minutes

versus 8 hours

“7 Figure Supplier Rebates” were

identified within weeks of go-live,

resulting in immediate ROI.


Reduces Repair Expenses with Oracle BI

Union Pacific is the largest railroad in North America, with revenue of $14B and coverage of 23 states.

Before

Need to improve railroad track

maintenance activities

Desire to improve allocation of

maintenance spend

Goal of improving employee safety

Need to increase levels of customer

satisfaction

Increase productivity and lower

operating costs

After

With OBIEE, deployed 300+ analytic

applications for Maintenance, Safety,

and Business Performance Mgmt.

4,000+ users access multiple TB of

data spanning Oracle, Teradata and

3rd party sources

Maintenance issues detected before

track shutdowns are required

Improved on-time deliveries and

customer satisfaction

Reduced operating expenses


Cisco Leverages BI Across the EnterpriseSingle cross-functional BI solution

Cisco Systems is the worldwide leader in networking equipment for the Internet.

Before

Desire to provide business

performance visibility to executives

and line of business managers across

sales, marketing and finance

Need to transform marketing

organization to metrics-based focus

Need to provide executive visibility

into key HR performance metrics

After

Deployed OBIEE as enterprise BI

solution across Sales, Marketing, HR,

Finance, Quality & Manufacturing

18,000 users, growing to 40,000; 10+

TB of data

Senior management tracks near real-

time sales performance

Enhances ability to reallocate scarce

resources to impact performance

30% employee productivity gain


Florida State University Selects Oracle BI End Users Can Monitor Financial Performance

Before

Unable to track budget, expended,

encumbered, and remaining

balances across various levels of

the University

End-users unable to interact with

data, view data at different levels,

and drill into data without IT help

Could not provide HR based data

for demographic and regulatory

reporting in timely fashion

After

Oracle BI Publisher and Oracle BI EE

will enable Florida State University to

view multiple levels of data, quickly

and efficiently. Can now aggressively

track spending across all levels of the

university.

End-users can access complex data

in a meaningful fashion without

custom development by IT under the

previous solution.

Dramatic reduction in report requests

to IT.

University-wide, consistent view of

financial performance and HR costs.

National graduate research university, 35,000+ students, $1B annual operating budget, with more than 8,000 Employees.



Conclusion and Next Steps


Gartner: Magic Quadrant for Business Intelligence Platforms, 2011

The Magic Quadrant is copyrighted 27 January 2011 by Gartner, Inc. and is reused with permission. The Magic Quadrant is a graphical representation of

a marketplace at and for a specific time period. It depicts Gartner's analysis of how certain vendors measure against criteria for that marketplace, as

defined by Gartner. Gartner does not endorse any vendor, product or service depicted in the Magic

Quadrant, and does not advise technology users to select only those vendors placed in the "Leaders"

quadrant. The Magic Quadrant is intended solely as a research tool, and is not meant to be a specific guide to action. Gartner disclaims all warranties, express or implied, with respect to this research,

including any warranties of merchantability or fitness for a particular purpose.

This Magic Quadrant graphic was published by Gartner, Inc. as part of a larger research note and

should be evaluated in the context of the entire report. The Gartner report is available upon request

from Oracle.

Source: Gartner, Inc., “Magic Quadrant for Business Intelligence Platforms, 2011” by Rita L. Sallam,

James Richardson, John Hagerty, Bill Hostmann. 27 January 2011.


Oracle’s Integrated Analytic SolutionBuilt on the Business Intelligence Foundation

• Financials

• HR

• Procure & Spend

• Projects

• Supply Chain

• Order Management

• Logistics

• Sales

• Marketing

• Service

• Contact Center

• Price

• Loyalty

• Financial Close

• Strategic Planning

• Planning & Forecasting

• Profitability Management

• Financial Services

• Communications

• Healthcare

• Retail




Education

Talk IT_ Oracle_박소희_110809