Filling the BI gap with leading technology and techniques.

Transcription

1 HandsOn-Advanced Analytics Filling the BI gap with leading technology and techniques. 1

2 Presenters Author: Michael L.Gonzales HandsOn-BI, LLC 2

3 HandsOn-Advanced Analytics I. The Promise of BI II. The BI Gap III. Filling The BI Gap IV. Service Oriented Architecture 3

4 I. The Promise of BI Focusing on the original intent of Business Intelligence. 4

5 BI Drives Analytic Applications Co , Jones Carol, 35492, 44, 12/3/92, ; Co , Hustel Robert, , 23, 12/3/87, ; Co , Schmitz Jane, 87889, 12, 1/3/98, ; Co , Napu Max, , 39, 6/23/89, ; Co , Jensen Geneva, 39482, 80, 4/21/85, ; Co , Smith Greg, , 87, 8/23/98, ; Co , White Joan, , 54, 9/11/80, 43368; Co , Jones Carol, 35492, 44, 12/3/92, ; Co , Hustel Robert Jones Carol, 35492, 44, 12/3/92 Hustel Robert 35424, 23, 12/3/87 Schmitz Jane, 87889, 12, 1/3/98, Napu Max, 34527, 39, 6/23/89 Jensen Geneva, 39482, 80, 4/21/85 Smith Greg, 99742, 87, 8/23/98 White Joan, 13233, 54, 9/11/80 Customer Transaction + = Customer Interaction Analytic Applications For example: Intelligent Dashboards, On-demand Processing, Integrated Analysis Business Intelligence Is Actionable Insight And Knowledge 5

6 Knowing Is The Objective Who is my most valuable customer? What is my product demand by region, type and customer? When did this start? Know Know what you Don t Know Interactive Query Don t Know Don t Know what you Don t Know Data Mining Don t Know Where are the most sales? How are we doing? Why did this happen? Know what you Know Don t Know what you Know Know Any missed opportunities? Standard Reporting Knowledge Management 6

7 The Business Intelligence Fabric Technical Data Application Touch Point Geographic 7

8 II. The BI Gap Traditional warehouse technologies and techniques fall short of delivering on the promise of BI. 8

9 The Traditional Analytic Landscape Statisticians (Modeling) Business Analysts (Decision Support) OLAP Predictive Data Mining Exploratory Data Mining Management (Operations) Ad-hoc Reporting Static Reporting What Happened? Why it Happened? Did you Know? What will Happen? 9

10 Traditional Disparate Data Structures COTS ETL Processor Operation Databases Staging Area Atomic Level tables COTS ETL Processor COTS ETL Processor BI Static Reports Advanced Reports Data Marts OLAP Slices 10

11 Foundations for Business Intelligence Three components to successful BI: 1. Seamless Integration Of Technologies 2. Simplified Data Delivery 3. Zero-latency Analytics PLUS: A Closed Feedback Loop to become a BI Organization. 11

12 III. Filling The BI Gap Applying leading technologies and techniques to fill the BI gap. 12

13 Leading RDBMS Vendors RDBMS ETL Operational data Spatial Data Centralize Database Environment Relational Data Dimensional Data Integrated: -- ETL Technology -- Spatial Data -- OLAP Technology -- Mining Technology -- Portal Support Advanced Reports Portal OLAP 13

14 In-database OLAP A variety of approaches offered by leading RDBMS vendors: 1. Materialized View and Query Tables 2. Extended SQL For ROLAP-centric Functions 3. Blend Of Relational and MOLAP Proprietary Technology 14

15 In-database Data Mining RDBMS Export Model In PMML DATA MINING ANALYST UDF Mining Model Model Stored As LOB Building The Mining Model SQL DECISION MAKERS Operational/Strategic Application 15

16 What About Visualization? MC Escher 16

17 What About Space? MC Escher 17

18 Spatial Analysis/Visualization Impact Stores Market Density 18

19 GIS Expands The Analytic Landscape Statisticians (Modeling) Business Analysts (Decision Support) Management (Operations) Static Reporting OLAP Predictive Exploratory Mining Mining What Happened? Why it Happened? Did you Know? What will Happen? 19

20 IV. The Service Oriented Architecture Bringing it all together with SOA, including on-demand analytics and analytic consolidation. 20

21 Terminology 21

22 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. 22

23 Embedded Analytics Custom or COTS Applications BI Components: Visualization, OLAP, Mining Java API, X/Query, SQL API tables 23

24 Web Services Enterprise Portal Tactical/ Strategic Apps #3: Bind (SOAP) XML Results Web Service API BI Services OLAP Mining Spatial UDDI #2: Locate #1: Register 24

25 Service Oriented Architecture Update Customer Process Application Message IIS Message Application Master Data Stores Dashboards Web Applications EAI, BPM, EII Application Services Process Services Information Integration Services Legacy Apps Business Partner Data Data Marts & Warehouses Portals Meta Data Services Packaged Apps (Siebel, 25 SAP, etc.)

26 Contact Information Phone: (915) Fax: (915) Website: Address: HandsOn-BI, LLC N. Mesa, Suite 282 El Paso, TX