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1 This presentation is for informational purposes only and may not be incorporated into a contract or agreement.
2 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 decision. The development, release, and timing of any features or functionality described for Oracle s products remains at the sole discretion of Oracle.
3
4 Oracle Predictive Analytics Meeting Place: US Toll Free: US Only: Asia/Pacific: Europe/M. East/Africa: Meeting ID #: Meeting Password: Charlie Berger (charlie.berger@oracle.com) Sr. Director of Product Management, Life Sciences and Data Mining
5 Oracle Predictive Analytics Agenda What is Predictive Analytics Demos Command line Spreadsheet Add-In Oracle Data Miner Predictive Analytics Use Cases Q & A
6 Oracle Business Intelligence Know More, Do More, Spend Less! Query & Reporting Oracle BI Solution BI Beans Oracle Reports Oracle 10g DB Data Warehousing OLAP ETL Statistics PRODUCT TIME REGION Drill for Detail OLAP Option Spreadsheet Add-In Data Mining Access & Assemble Data Oracle Warehouse Builder Mine for New Insights Oracle Data Mining Option Predictive Analytics Statistics Text Mining
7 The future of data mining lies in predictive analytics. The Future of Data Mining Predictive Analytics Article published in DM Review Magazine August 2004 Issue By Lou Agosta
8 What is Predictive Analytics? One click data mining How does it work? Automatically prepare the input data Automatically selects appropriate algorithm Automates all advanced algorithm settings Automates Model Build and Apply steps Power data analysts can still use Oracle Data Miner (wizard driven gui) PL/SQL API Java API Predictive Analytics! Concept of performing predictive analytics is better than doing nothing
9 D E M O N S T R A T I O N Oracle Predictive Analytics PL/SQL Package
10 Predictive Analytics: Explain PL/SQL Package BEGIN DBMS_PREDICTIVE_ANALYTICS.EXPLAIN( data_table_name => 'CD_BUYERS', explain_column_name => 'CD_BUYER', result_table_name => 'explain_result39'); END; / Select * from explain_result39;
11 Predictive Analytics: Explain PL/SQL Package
12 Predictive Analytics: Explain PL/SQL Package
13 Predictive Analytics: Predict PL/SQL Package SET serveroutput ON DECLARE v_accuracy NUMBER(10,9); BEGIN DBMS_PREDICTIVE_ANALYTICS.PREDICT ( ACCURACY => v_accuracy, DATA_TABLE_NAME => 'CD_BUYERS', CASE_ID_COLUMN_NAME => 'CUST_ID', TARGET_COLUMN_NAME => 'CD_BUYER', RESULT_TABLE_NAME => 'predict_result8 ); DBMS_OUTPUT.PUT_LINE('Accuracy = ' v_accuracy); END; / SELECT * FROM predict_result8 WHERE rownum <= 10;
14 Predictive Analytics: Explain PL/SQL Package
15 Predictive Analytics: Predict PL/SQL Package
16 D E M O N S T R A T I O N Oracle Spreadsheet Add-In for Predictive Analytics
17 Oracle Spreadsheet Add-In for Predictive Analytics Enables Excel users to mine Oracle or Excel data using one click Predict and Explain predictive analytics features
18 Oracle Spreadsheet Add-In for Predictive Analytics Users select a table or view, or point to data in Excel, and select a target attribute
19 Oracle Spreadsheet Add-In for Predictive Analytics Explain PA finds attributes that have the greatest influence
20 Oracle Spreadsheet Add-In for Predictive Analytics Example applications: identify influential attributes: Patients who develop a disease High value customers People who don t comply with regulations
21 Oracle Spreadsheet Add-In for Predictive Analytics Enables users to make better predictions because the prediction is based on observed data and hidden patterns found by Oracle Data Mining
22 Oracle Spreadsheet Add-In for Predictive Analytics Example applications: Predict Patients likely to develop a disease Size of a tumor People likely to commit fraud Customers with highest lifetime value
23 Oracle Spreadsheet Add-In for Predictive Analytics Example applications: Predict Patients likely to develop a disease Size of a tumor People likely to commit fraud Customers with highest lifetime value
24 D E M O N S T R A T I O N Oracle Data Miner Predictive Analytics
25 Oracle Data Miner 10g Release 2 Simpler, More Powerful New GUI for building, evaluating, and applying ODM models Wizards approach Mining Activity Guides Receiver Operating Characteristics (ROC) Curve Predict & Explain PA Generate SQL & Java code to operationalize applications Integrate data mining insights into other BI tools and applications
26 Predictive Analytics Use Cases
27 Predictive Analytics Use Cases Better reports with more information Regularly scheduled reports Launch PA based on triggers Test a hunch, explore
28 Better Reports with More Information
29 Launch PA Based on Triggers Launch an investigative analysis within the Database Investigate
30 Launch PA Based on Triggers Create better reports that contain more information
31 Test Hunches, Explore Purchases < 4,000 = 0 Use PREDICT to target other high value customers (1 s) Purchases > 4,000 = 1
32 Predictive Analytics More information OTN Google (oracle data mining) Give it a try!!
33 Q U E S T I O N S A N S W E R S
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