Filling the BI gap with leading technology and techniques.

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HandsOn-BI, LLC Copyright (c) 2001-2004 All Rights Reserved 1 HandsOn-Advanced Analytics Filling the BI gap with leading technology and techniques.

Transcript of Filling the BI gap with leading technology and techniques.

Page 1: Filling the BI gap with leading technology and techniques.

HandsOn-BI, LLC Copyright (c) 2001-2004 All Rights Reserved1

HandsOn-Advanced Analytics

Filling the BI gap with leading technology and techniques.

Page 2: Filling the BI gap with leading technology and techniques.

HandsOn-BI, LLC Copyright (c) 2001-2004 All Rights Reserved2

Presenters

Author: Michael L.GonzalesHandsOn-BI, LLC

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HandsOn-Advanced Analytics

I. The Promise of BIII. The BI GapIII. Filling The BI GapIV. Service Oriented Architecture

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I. The Promise of BI

Focusing on the original intent of Business

Intelligence.

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BI Drives Analytic Applications

Co1432003, Jones Carol, 35492, 44, 12/3/92, 123002; Co7038553, Hustel Robert, 354264, 23, 12/3/87, 425214; Co4353779, Schmitz Jane, 87889, 12, 1/3/98, 048994; Co1654423, Napu Max, 345287, 39, 6/23/89, 928800; Co4454642, Jensen Geneva, 39482, 80, 4/21/85, 948372; Co3462351, Smith Greg, 998742, 87, 8/23/98, 389274; Co9483484, White Joan, 132233, 54, 9/11/80, 43368; Co1432003, Jones Carol, 35492, 44, 12/3/92, 123002; Co7038553, Hustel Robert

Jones Carol, 35492, 44, 12/3/92Hustel Robert 35424, 23, 12/3/87 Schmitz Jane, 87889, 12, 1/3/98, Napu Max, 34527, 39, 6/23/89Jensen Geneva, 39482, 80, 4/21/85 Smith Greg, 99742, 87, 8/23/98 White Joan, 13233, 54, 9/11/80

+ =

Analytic ApplicationsFor example: Intelligent Dashboards, On-demand Processing, Integrated

Analysis

CustomerInteractionCustomer

Transaction

Business Intelligence Is Actionable Insight And Knowledge

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Knowing Is The Objective

Who is my most valuable customer?

What is my product demand by region, type and customer?

When did this start?

Where are the most sales?

How are we doing?

Why did this happen?

Any missed opportunities?

Know Don’t Know

Don’t Know

Know

Data Mining

Don’t Knowwhat you

Don’t Know

Knowledge Management

Don’t Knowwhat you

Know

Standard Reporting

Knowwhat you

Know

Interactive Query

Knowwhat you

Don’t Know

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The Business Intelligence Fabric

Technical

Data

Application

Touch Point

Geographic

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II. The BI Gap

Traditional warehouse technologies and techniques fall short of delivering on the

promise of BI.

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The Traditional Analytic Landscape

Business Analysts (Decision Support)

Statisticians (Modeling)

Static Reporting

Ad-hocReporting

OLAP

Exploratory Data Mining

Predictive Data Mining

Management (Operations)

Did you

Know?

What will Happen?

What Happened?

Why it Happened?

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Traditional Disparate Data Structures

Operation Databases

Staging Area

tables

COTS ETL Processor

COTS ETL Processor

COTS ETL Processor

BI Static Reports

Atomic Level

Advanced Reports

OLAP Slices

Data Marts

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Foundations for Business Intelligence

Three components to successful BI:

1. Seamless Integration Of Technologies2. Simplified Data Delivery3. Zero-latency Analytics

PLUS: A Closed Feedback Loop to become a BI Organization.

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III. Filling The BI Gap

Applying leading technologies and techniques

to fill the BI gap.

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Leading RDBMS Vendors

Advanced Reports Portal

Relational Data Dimensional Data

Spatial Data

Centralize Database Environment

RDBMS ETL

Operational data

OLAP

Integrated:-- ETL Technology-- Spatial Data-- OLAP Technology-- Mining Technology-- Portal Support

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In-database OLAP

A variety of approaches offered by leading RDBMS vendors:

1. Materialized View and Query Tables2. Extended SQL For ROLAP-centric Functions3. Blend Of Relational and MOLAP Proprietary

Technology

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In-database Data Mining

DECISION MAKERS

DATA MINING ANALYST

RDBMS

Model StoredAs LOB

Mining ModelUDF

Export ModelIn PMML

Operational/Strategic Application

SQL

Building The Mining Model

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What About Visualization?

MC Escher

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What About Space?

MC Escher

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Spatial Analysis/Visualization Impact

Stores

MarketDensity

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GIS Expands The Analytic Landscape

What Happened?

Why it Happened?

Did you Know?

What will Happen?

StaticReporting

OLAP

ExploratoryMining

PredictiveMining

Statisticians (Modeling)

Business Analysts (Decision Support)

Management (Operations)

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IV. The Service Oriented Architecture

Bringing it all together with SOA, including on-demand

analytics and analytic consolidation.

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Terminology

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The Face Of BI

Portals Blend Operational and Strategic Reporting and Analytics:

-- Integrate operational/analytic applications using portlets. -- Use Web Services for seamless integration of analytic

processing with operational/analytic applications-- Provide event-driven, on-demand processing for alerts, near

real-time analytics, and other BI-centric processing.

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Embedded Analytics

Custom or COTS Applications

tables

BI Components: Visualization, OLAP, Mining

Java API, X/Query, SQL API

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Web Services

Enterprise Portal

BI Services•OLAP•Mining•SpatialW

eb S

ervi

ceA

PI

#3: Bind (SOAP)

XML Results

Tactical/Strategic

Apps

UDDI#2: Locate #1: Register

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Service Oriented Architecture

Update Customer Process

Packaged Apps (Siebel, SAP, etc.)

Business Partner Data

Data Marts & Warehouses

Master Data Stores

Info

rmat

ion

Inte

grat

ion

Serv

ices

Proc

ess

Serv

ices

App

licat

ion

Serv

ices

Meta Data Services

IIS

ApplicationMessage Message

Application

Dashboards

Legacy Apps

Web Applications

EAI, BPM, EII

Portals

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Contact InformationContact Information

Email: [email protected]: (915)542-2604Fax: (915)542-3959Website: www.HandsOn-BI.comAddress: HandsOn-BI, LLC.

7101 N. Mesa, Suite 282El Paso, TX 79912