SlideShare a Scribd company logo
1 of 24
Abdul Hafeez ShaikNovember 10, 2008
OBI-EE Tips and Tricks
to create
Dashboards and Answers
About the Speakers
Abdul Hafeez Shaik
•Senior Consultant with Apps Associates
•Tech Team lead at Wyndham Worldwide for OBIEE implementation
•4 Years of Industry Experience with E Business Suite
•Working with OBIEE Technology from 2006
2NEOAUG November 2008
Agenda

About OBIEE

Introduction

Snap Shots Model

Events Model

Configuration
3NEOAUG November 2008
4
OBI-EE Components
Oracle
BI Server
Proactive
Detection
and Alerts
Disconnected
Analytics
Ad-hoc
Analysis
MS Office
Plug-in
Reporting &
Publishing
Interactive
Dashboards
OLTP & ODS
Systems
Data Warehouse
Data Mart
SAP, Oracle
PeopleSoft, Siebel,
Custom Apps
Files
Excel
XML
Business
Process
Multidimensional Calculation and Integration Engine
Common Metadata, Security, Filtering, Personalization, Management, Scheduling
Simplified Business Model and Abstraction Layer
Intelligent Request Generation and Optimized Data Access Services
NEOAUG November 2008
5
Oracle Business Intelligence (OBI)
Oracle Business
Intelligence Suite EE
• Oracle BI Analytic Server
• Oracle BI Interactive
Dashboards
• Oracle BI Answers
• Oracle BI Delivers
• Oracle BI Reporting &
Publishing
• Oracle BI Disconnected
Analytics
• Oracle BI Server
Administration
(1) (2)

Buy (1) + Custom Development

Buy (1) + Buy (2) + Custom Development
NEOAUG November 2008
6
Oracle Business Intelligence (OBI)
NEOAUG – Oct 2007
Pipeline / Forecast
Analysis
Bookings, Billings
& Backlog
Sales Team
Effectiveness
Up-sell /
Cross-sell
Cycle Time
Analysis
Lead
Conversion
Sales + OM
Analytics
Workforce
Analytics
Employee
Productivity
Compensation
Analysis
HR Compliance
Reporting
Workforce
Profile
Turnover
Trends
Return on
Human Capital
Other Operational
& Analytic Sources
Oracle BI EE Platform
Travel
& Trans
Auto Comms.
& Media
Complex
Mfg.
Consumer
Sector
Energy Financial
Services
High
Tech
Insurance
& Health
Life
Sciences
Public
Sector
Receivables /
Payables Analysis
GL / Balance
Sheet Analysis
Customer / Product
Profitability
Income Statement
Analysis
Expense
Management
Cash Flow
Analysis
Financial
Analytics
Supplier
Performance
Inventory
Analysis
Procurement
Cycle Times
Inventory
Availability
Employee
Expenses
BOM Analysis
Supply Chain
Analytics
Business Analytics Applications
Campaign
Scorecard
Response
Rates
Product
Propensity
Loyalty and
Attrition
Market Basket
Analysis
Campaign ROI
Marketing
Analytics
Churn
Propensity
Customer
Satisfaction
Resolution
Rates
Service Rep
Effectiveness
Service Cost
Analysis
Service
Trends
Service &
Contact Center
Analytics
Background

Offices in USA, Germany and India

Founded in 2002 with >100 % growth every year for
last 5 years:

2007 Inc. 500 list of fastest growing U.S. companies

Strong customer base, all reference accounts

205+ employees, 45 in USA

Technology focus in Oracle and Microsoft - Certified
Partner status

Management Team:

75% are former Oracle employees

Experienced executive & senior management team
Making Global Delivery Feel Closer To HomeMaking Global Delivery Feel Closer To Home
7
NEOAUG November 2008
Introduction
 OBIEE HRMS Pre Packaged Model has a two type of information
in it
 Snapshot
 Event
8NEOAUG November 2008
Snapshot
 Snapshot Capture the State of an Organization at the time of ETL
Run.
 Snapshot Captures All the active employees at the time of ETL run
 It captures the Following information of an employee at time of ETL
Run
 Job
 Employment
 Supervisor
 Ethnicity
 Gender and Martial Status
 Address and location
 Salary
9NEOAUG November 2008
Snapshot
 Snapshot Create a Daily one snapshot (state) of the organization
from day of first ETL Run.
 There will be two type of snapshots
 Daily Snapshot

Monthly Snapshot
10NEOAUG November 2008
Daily Snapshot
 Retains 30 snapshot by default
 Number of Days in Snapshot can be configurable
 Example
 If we set the daily snapshot to retain 30 days of history
 we start the first ETL on 1 jan 08
 Retain the history until 30 jan 08
 On 31 jan 08 1 jan 08 snapshot get deleted
 Creates 31 jan 08 snapshot
 if you see the daily snapshot at the 5 feb 08 the snapshot will have the
data from 6th
jan to 5th
Feb
11NEOAUG November 2008
Daily Snapshot
12NEOAUG November 2008
Monthly Snapshot
 If Daily Snapshot is configured to 30 days
 Monthly Snapshot stores State of Organization Once For Each 30
days
 Daily snap shot retains Latest 30 Snap Shots
 Example
 With Reference to above Example
 We will have a entry on 1st
Jan
 Next Entry will be created on 31st
Jan
 On 31st
of Jan 2 Entries will be there
13NEOAUG November 2008
Monthly Snapshot
14NEOAUG November 2008
Pros of Snapshot
 It give you very good Analytical data
 You can easily compare the state of you organization between two
point of times
 You can create a trending with the snapshots
 You will retain the deleted employee in a snapshots up to the date
they are not deleted
15NEOAUG November 2008
Cons of Snapshot
 It is Analytical Model not the Reporting model.
 Latest Change retained between two ETL
 Deleted Records Retained in the Old Snapshots
 Snapshots will be build from day of Fist ETL, No Historical Snap
shot on Day one
 Effective Dates are Captured Differently
 Model will not Capture all Assignment information
 By Default no SIT, EIT and DFF are brought over
 This Model will not support secondary assignments
16NEOAUG November 2008
Events
 Event will capture all the events occurred in the HRMS
 It Captures following events
 Assignment Start
 Assignment End
 Salary Change Event
 Periods Of Service Start
 Periods Of Service End
 Absence Start
 Absence End
17NEOAUG November 2008
Events
18NEOAUG November 2008
Pros of Event
 All the Event at one place Easy to Reporting.
 We can Do Easy reporting on some of the report which are difficult
to get out of ERP (New Hire, Re Hire)
 We Can Do Every good Trending
 Givens you high level information
 Can Build Very good KPI’s
19NEOAUG November 2008
Cons of Events
 Tracks the count of Event not actual Change.
 Example
 Salary event tracks the salary change but will not track how much and
what change happened to salary
 Assignment change wont track all the changes happened to
assignments
 Very good Analytical tool then Reporting.
 By Default no SIT,EIT and DFF’s borough over

Secondary assignments not supported
20NEOAUG November 2008
Customizations Can be….
 Custom Security Model
 Extending the model to get the assignment information
 Extended the model to get the Event related information with event
(Ex salary with salary change)
 Extended the Model to get the SIT,EIT and custom DFF
information
 Extended the Model to show the Effective dates
21NEOAUG November 2008
Configurations
 Global Configurations
 Configure Global Currencies
 Exchange Rates
 Setting up Fiscal Calendar
 Reloading the Time Dimensions with Extended Date range
 Setting Data Source Num IDs
 Controlling Data Set for Oracle EBS
22NEOAUG November 2008
Configurations
 HRMS Specific Configurations
 Employee Ethnic Group
 Employee Sex
 Employee Veteran Status
 Employment Category
 Employment Exempt Flag
 Employment Full Time Flag
 Employment Status
 Event Types
 HR Position Exempt Flag
 Job EEO Category
 Job Flsa Status
 Pay Type Grpoup
 Pay Type Flag
23NEOAUG November 2008
Configurations
 Different type of Configuration
 CSV Configurations (14)
 Parameter File Configurations (3)
 DAC Configurations (5)
 ETL configurations (0)
24NEOAUG November 2008

More Related Content

Similar to Neoaug nov10 08_hrms_model_configuration

SplunkLive! Frankfurt 2018 - Integrating Metrics & Logs
SplunkLive! Frankfurt 2018 - Integrating Metrics & LogsSplunkLive! Frankfurt 2018 - Integrating Metrics & Logs
SplunkLive! Frankfurt 2018 - Integrating Metrics & LogsSplunk
 
SplunkLive! Munich 2018: Integrating Metrics and Logs
SplunkLive! Munich 2018: Integrating Metrics and LogsSplunkLive! Munich 2018: Integrating Metrics and Logs
SplunkLive! Munich 2018: Integrating Metrics and LogsSplunk
 
SplunkLive! Munich 2018: Predictive, Proactive, and Collaborative ML with IT ...
SplunkLive! Munich 2018: Predictive, Proactive, and Collaborative ML with IT ...SplunkLive! Munich 2018: Predictive, Proactive, and Collaborative ML with IT ...
SplunkLive! Munich 2018: Predictive, Proactive, and Collaborative ML with IT ...Splunk
 
SplunkLive! Paris 2018: Integrating Metrics and Logs
SplunkLive! Paris 2018: Integrating Metrics and LogsSplunkLive! Paris 2018: Integrating Metrics and Logs
SplunkLive! Paris 2018: Integrating Metrics and LogsSplunk
 
SplunkLive! Zurich 2018: Get More From Your Machine Data with Splunk & AI
SplunkLive! Zurich 2018: Get More From Your Machine Data with Splunk & AISplunkLive! Zurich 2018: Get More From Your Machine Data with Splunk & AI
SplunkLive! Zurich 2018: Get More From Your Machine Data with Splunk & AISplunk
 
SplunkLive! Frankfurt 2018 - Predictive, Proactive, and Collaborative ML with...
SplunkLive! Frankfurt 2018 - Predictive, Proactive, and Collaborative ML with...SplunkLive! Frankfurt 2018 - Predictive, Proactive, and Collaborative ML with...
SplunkLive! Frankfurt 2018 - Predictive, Proactive, and Collaborative ML with...Splunk
 
Setting the Stage for Dramatically Improving O&G Operations Performance
Setting the Stage for Dramatically Improving O&G Operations PerformanceSetting the Stage for Dramatically Improving O&G Operations Performance
Setting the Stage for Dramatically Improving O&G Operations PerformanceBill Bosler, P.E.
 
SplunkLive! Zurich 2018: Integrating Metrics and Logs
SplunkLive! Zurich 2018: Integrating Metrics and LogsSplunkLive! Zurich 2018: Integrating Metrics and Logs
SplunkLive! Zurich 2018: Integrating Metrics and LogsSplunk
 
SplunkLive! Munich 2018: Get More From Your Machine Data Splunk & AI
SplunkLive! Munich 2018: Get More From Your Machine Data Splunk & AISplunkLive! Munich 2018: Get More From Your Machine Data Splunk & AI
SplunkLive! Munich 2018: Get More From Your Machine Data Splunk & AISplunk
 
SplunkLive! Frankfurt 2018 - Get More From Your Machine Data with Splunk AI
SplunkLive! Frankfurt 2018 - Get More From Your Machine Data with Splunk AISplunkLive! Frankfurt 2018 - Get More From Your Machine Data with Splunk AI
SplunkLive! Frankfurt 2018 - Get More From Your Machine Data with Splunk AISplunk
 
SplunkLive! Paris 2018: Splunk And AI 101
SplunkLive! Paris 2018: Splunk And AI 101SplunkLive! Paris 2018: Splunk And AI 101
SplunkLive! Paris 2018: Splunk And AI 101Splunk
 
Bi Architecture And Conceptual Framework
Bi Architecture And Conceptual FrameworkBi Architecture And Conceptual Framework
Bi Architecture And Conceptual FrameworkSlava Kokaev
 
Why IT Big Data Needs its Own Analytics
Why IT Big Data Needs its Own AnalyticsWhy IT Big Data Needs its Own Analytics
Why IT Big Data Needs its Own AnalyticsEvolven Software
 
The AMB Data Warehouse: A Case Study
The AMB Data Warehouse: A Case StudyThe AMB Data Warehouse: A Case Study
The AMB Data Warehouse: A Case StudyMark Gschwind
 
15 a 01 reporting
15 a 01 reporting15 a 01 reporting
15 a 01 reportingtflung
 
Splunk Discovery: Warsaw 2018 - Legacy SIEM to Splunk, How to Conquer Migrati...
Splunk Discovery: Warsaw 2018 - Legacy SIEM to Splunk, How to Conquer Migrati...Splunk Discovery: Warsaw 2018 - Legacy SIEM to Splunk, How to Conquer Migrati...
Splunk Discovery: Warsaw 2018 - Legacy SIEM to Splunk, How to Conquer Migrati...Splunk
 

Similar to Neoaug nov10 08_hrms_model_configuration (20)

SplunkLive! Frankfurt 2018 - Integrating Metrics & Logs
SplunkLive! Frankfurt 2018 - Integrating Metrics & LogsSplunkLive! Frankfurt 2018 - Integrating Metrics & Logs
SplunkLive! Frankfurt 2018 - Integrating Metrics & Logs
 
SplunkLive! Munich 2018: Integrating Metrics and Logs
SplunkLive! Munich 2018: Integrating Metrics and LogsSplunkLive! Munich 2018: Integrating Metrics and Logs
SplunkLive! Munich 2018: Integrating Metrics and Logs
 
How to PIVOT in SQL
How to PIVOT in SQLHow to PIVOT in SQL
How to PIVOT in SQL
 
SplunkLive! Munich 2018: Predictive, Proactive, and Collaborative ML with IT ...
SplunkLive! Munich 2018: Predictive, Proactive, and Collaborative ML with IT ...SplunkLive! Munich 2018: Predictive, Proactive, and Collaborative ML with IT ...
SplunkLive! Munich 2018: Predictive, Proactive, and Collaborative ML with IT ...
 
SplunkLive! Paris 2018: Integrating Metrics and Logs
SplunkLive! Paris 2018: Integrating Metrics and LogsSplunkLive! Paris 2018: Integrating Metrics and Logs
SplunkLive! Paris 2018: Integrating Metrics and Logs
 
SplunkLive! Zurich 2018: Get More From Your Machine Data with Splunk & AI
SplunkLive! Zurich 2018: Get More From Your Machine Data with Splunk & AISplunkLive! Zurich 2018: Get More From Your Machine Data with Splunk & AI
SplunkLive! Zurich 2018: Get More From Your Machine Data with Splunk & AI
 
SplunkLive! Frankfurt 2018 - Predictive, Proactive, and Collaborative ML with...
SplunkLive! Frankfurt 2018 - Predictive, Proactive, and Collaborative ML with...SplunkLive! Frankfurt 2018 - Predictive, Proactive, and Collaborative ML with...
SplunkLive! Frankfurt 2018 - Predictive, Proactive, and Collaborative ML with...
 
Setting the Stage for Dramatically Improving O&G Operations Performance
Setting the Stage for Dramatically Improving O&G Operations PerformanceSetting the Stage for Dramatically Improving O&G Operations Performance
Setting the Stage for Dramatically Improving O&G Operations Performance
 
SplunkLive! Zurich 2018: Integrating Metrics and Logs
SplunkLive! Zurich 2018: Integrating Metrics and LogsSplunkLive! Zurich 2018: Integrating Metrics and Logs
SplunkLive! Zurich 2018: Integrating Metrics and Logs
 
SplunkLive! Munich 2018: Get More From Your Machine Data Splunk & AI
SplunkLive! Munich 2018: Get More From Your Machine Data Splunk & AISplunkLive! Munich 2018: Get More From Your Machine Data Splunk & AI
SplunkLive! Munich 2018: Get More From Your Machine Data Splunk & AI
 
SQL ledger
SQL ledgerSQL ledger
SQL ledger
 
IT Business Delegation Model
IT Business Delegation ModelIT Business Delegation Model
IT Business Delegation Model
 
SplunkLive! Frankfurt 2018 - Get More From Your Machine Data with Splunk AI
SplunkLive! Frankfurt 2018 - Get More From Your Machine Data with Splunk AISplunkLive! Frankfurt 2018 - Get More From Your Machine Data with Splunk AI
SplunkLive! Frankfurt 2018 - Get More From Your Machine Data with Splunk AI
 
SplunkLive! Paris 2018: Splunk And AI 101
SplunkLive! Paris 2018: Splunk And AI 101SplunkLive! Paris 2018: Splunk And AI 101
SplunkLive! Paris 2018: Splunk And AI 101
 
Bi Architecture And Conceptual Framework
Bi Architecture And Conceptual FrameworkBi Architecture And Conceptual Framework
Bi Architecture And Conceptual Framework
 
Why IT Big Data Needs its Own Analytics
Why IT Big Data Needs its Own AnalyticsWhy IT Big Data Needs its Own Analytics
Why IT Big Data Needs its Own Analytics
 
L07 entities scenarios
L07 entities scenariosL07 entities scenarios
L07 entities scenarios
 
The AMB Data Warehouse: A Case Study
The AMB Data Warehouse: A Case StudyThe AMB Data Warehouse: A Case Study
The AMB Data Warehouse: A Case Study
 
15 a 01 reporting
15 a 01 reporting15 a 01 reporting
15 a 01 reporting
 
Splunk Discovery: Warsaw 2018 - Legacy SIEM to Splunk, How to Conquer Migrati...
Splunk Discovery: Warsaw 2018 - Legacy SIEM to Splunk, How to Conquer Migrati...Splunk Discovery: Warsaw 2018 - Legacy SIEM to Splunk, How to Conquer Migrati...
Splunk Discovery: Warsaw 2018 - Legacy SIEM to Splunk, How to Conquer Migrati...
 

Recently uploaded

Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?Antenna Manufacturer Coco
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 

Recently uploaded (20)

Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 

Neoaug nov10 08_hrms_model_configuration

  • 1. Abdul Hafeez ShaikNovember 10, 2008 OBI-EE Tips and Tricks to create Dashboards and Answers
  • 2. About the Speakers Abdul Hafeez Shaik •Senior Consultant with Apps Associates •Tech Team lead at Wyndham Worldwide for OBIEE implementation •4 Years of Industry Experience with E Business Suite •Working with OBIEE Technology from 2006 2NEOAUG November 2008
  • 3. Agenda  About OBIEE  Introduction  Snap Shots Model  Events Model  Configuration 3NEOAUG November 2008
  • 4. 4 OBI-EE Components Oracle BI Server Proactive Detection and Alerts Disconnected Analytics Ad-hoc Analysis MS Office Plug-in Reporting & Publishing Interactive Dashboards OLTP & ODS Systems Data Warehouse Data Mart SAP, Oracle PeopleSoft, Siebel, Custom Apps Files Excel XML Business Process Multidimensional Calculation and Integration Engine Common Metadata, Security, Filtering, Personalization, Management, Scheduling Simplified Business Model and Abstraction Layer Intelligent Request Generation and Optimized Data Access Services NEOAUG November 2008
  • 5. 5 Oracle Business Intelligence (OBI) Oracle Business Intelligence Suite EE • Oracle BI Analytic Server • Oracle BI Interactive Dashboards • Oracle BI Answers • Oracle BI Delivers • Oracle BI Reporting & Publishing • Oracle BI Disconnected Analytics • Oracle BI Server Administration (1) (2)  Buy (1) + Custom Development  Buy (1) + Buy (2) + Custom Development NEOAUG November 2008
  • 6. 6 Oracle Business Intelligence (OBI) NEOAUG – Oct 2007 Pipeline / Forecast Analysis Bookings, Billings & Backlog Sales Team Effectiveness Up-sell / Cross-sell Cycle Time Analysis Lead Conversion Sales + OM Analytics Workforce Analytics Employee Productivity Compensation Analysis HR Compliance Reporting Workforce Profile Turnover Trends Return on Human Capital Other Operational & Analytic Sources Oracle BI EE Platform Travel & Trans Auto Comms. & Media Complex Mfg. Consumer Sector Energy Financial Services High Tech Insurance & Health Life Sciences Public Sector Receivables / Payables Analysis GL / Balance Sheet Analysis Customer / Product Profitability Income Statement Analysis Expense Management Cash Flow Analysis Financial Analytics Supplier Performance Inventory Analysis Procurement Cycle Times Inventory Availability Employee Expenses BOM Analysis Supply Chain Analytics Business Analytics Applications Campaign Scorecard Response Rates Product Propensity Loyalty and Attrition Market Basket Analysis Campaign ROI Marketing Analytics Churn Propensity Customer Satisfaction Resolution Rates Service Rep Effectiveness Service Cost Analysis Service Trends Service & Contact Center Analytics
  • 7. Background  Offices in USA, Germany and India  Founded in 2002 with >100 % growth every year for last 5 years:  2007 Inc. 500 list of fastest growing U.S. companies  Strong customer base, all reference accounts  205+ employees, 45 in USA  Technology focus in Oracle and Microsoft - Certified Partner status  Management Team:  75% are former Oracle employees  Experienced executive & senior management team Making Global Delivery Feel Closer To HomeMaking Global Delivery Feel Closer To Home 7 NEOAUG November 2008
  • 8. Introduction  OBIEE HRMS Pre Packaged Model has a two type of information in it  Snapshot  Event 8NEOAUG November 2008
  • 9. Snapshot  Snapshot Capture the State of an Organization at the time of ETL Run.  Snapshot Captures All the active employees at the time of ETL run  It captures the Following information of an employee at time of ETL Run  Job  Employment  Supervisor  Ethnicity  Gender and Martial Status  Address and location  Salary 9NEOAUG November 2008
  • 10. Snapshot  Snapshot Create a Daily one snapshot (state) of the organization from day of first ETL Run.  There will be two type of snapshots  Daily Snapshot  Monthly Snapshot 10NEOAUG November 2008
  • 11. Daily Snapshot  Retains 30 snapshot by default  Number of Days in Snapshot can be configurable  Example  If we set the daily snapshot to retain 30 days of history  we start the first ETL on 1 jan 08  Retain the history until 30 jan 08  On 31 jan 08 1 jan 08 snapshot get deleted  Creates 31 jan 08 snapshot  if you see the daily snapshot at the 5 feb 08 the snapshot will have the data from 6th jan to 5th Feb 11NEOAUG November 2008
  • 13. Monthly Snapshot  If Daily Snapshot is configured to 30 days  Monthly Snapshot stores State of Organization Once For Each 30 days  Daily snap shot retains Latest 30 Snap Shots  Example  With Reference to above Example  We will have a entry on 1st Jan  Next Entry will be created on 31st Jan  On 31st of Jan 2 Entries will be there 13NEOAUG November 2008
  • 15. Pros of Snapshot  It give you very good Analytical data  You can easily compare the state of you organization between two point of times  You can create a trending with the snapshots  You will retain the deleted employee in a snapshots up to the date they are not deleted 15NEOAUG November 2008
  • 16. Cons of Snapshot  It is Analytical Model not the Reporting model.  Latest Change retained between two ETL  Deleted Records Retained in the Old Snapshots  Snapshots will be build from day of Fist ETL, No Historical Snap shot on Day one  Effective Dates are Captured Differently  Model will not Capture all Assignment information  By Default no SIT, EIT and DFF are brought over  This Model will not support secondary assignments 16NEOAUG November 2008
  • 17. Events  Event will capture all the events occurred in the HRMS  It Captures following events  Assignment Start  Assignment End  Salary Change Event  Periods Of Service Start  Periods Of Service End  Absence Start  Absence End 17NEOAUG November 2008
  • 19. Pros of Event  All the Event at one place Easy to Reporting.  We can Do Easy reporting on some of the report which are difficult to get out of ERP (New Hire, Re Hire)  We Can Do Every good Trending  Givens you high level information  Can Build Very good KPI’s 19NEOAUG November 2008
  • 20. Cons of Events  Tracks the count of Event not actual Change.  Example  Salary event tracks the salary change but will not track how much and what change happened to salary  Assignment change wont track all the changes happened to assignments  Very good Analytical tool then Reporting.  By Default no SIT,EIT and DFF’s borough over  Secondary assignments not supported 20NEOAUG November 2008
  • 21. Customizations Can be….  Custom Security Model  Extending the model to get the assignment information  Extended the model to get the Event related information with event (Ex salary with salary change)  Extended the Model to get the SIT,EIT and custom DFF information  Extended the Model to show the Effective dates 21NEOAUG November 2008
  • 22. Configurations  Global Configurations  Configure Global Currencies  Exchange Rates  Setting up Fiscal Calendar  Reloading the Time Dimensions with Extended Date range  Setting Data Source Num IDs  Controlling Data Set for Oracle EBS 22NEOAUG November 2008
  • 23. Configurations  HRMS Specific Configurations  Employee Ethnic Group  Employee Sex  Employee Veteran Status  Employment Category  Employment Exempt Flag  Employment Full Time Flag  Employment Status  Event Types  HR Position Exempt Flag  Job EEO Category  Job Flsa Status  Pay Type Grpoup  Pay Type Flag 23NEOAUG November 2008
  • 24. Configurations  Different type of Configuration  CSV Configurations (14)  Parameter File Configurations (3)  DAC Configurations (5)  ETL configurations (0) 24NEOAUG November 2008