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Data Warehousing and Business Objects EIM Product Suite
John Morrissey, Managing Director
Copyright 2007 Data Management Group. All Rights Reserved.
Agenda
• Set the BI Stage - Overview• ETL - Data Integrator• Data Federator• Data Quality• Rapid Marts
Copyright 2007 Data Management Group. All Rights Reserved.
Is this you or someone you know…
Copyright 2007 Data Management Group. All Rights Reserved.
To what extent will your investment in each of the following technologies change in 2007?
Ranking
* New answer for 2007
BI IS A KEY INVESTMENT
2007 2006
Source: Gartner EXP CIO Survey (2007)
Business Intelligence (BI) 1 1
Enterprise Applications (ERP, etc.) 2 *
Servers/Storage (virtualization) 3 3
Legacy Application modernization 4 10
Security technologies 5 2
Copyright 2007 Data Management Group. All Rights Reserved.COPYRIGHT © 2007 BUSINESS OBJECTS S.A. ALL RIGHTS RESERVED.
Business Intelligence and EIM
Inconsistent Data
Disparate Data
Poor Data Quality
No
Traceab
ility to S
ou
rce
Copyright 2007 Data Management Group. All Rights Reserved.
Look to the Cookie!!!
Business Intelligence
EIM
Data Sources
Copyright 2007 Data Management Group. All Rights Reserved.
Low Performance OrganizationLow Performance Organization
TODAY
• Information silos– Multiple versions of the truth– No analysis across functions
• Poor data quality– Information overload and duplication– No trust in information
• BI restricted to a few– BI mostly for specialists– Most make decisions on gut feel
• BI limited to reporting– No performance management strategy– KPIs poorly defined and distributed
• Data only used internally– Weak customer/supplier relationships– Untapped reservoirs of profits
Copyright 2007 Data Management Group. All Rights Reserved.
Low Performance OrganizationLow Performance Organization
TOMORROW
• Information silos– Multiple versions of the truth– No analysis across functions
• Poor data quality– Information overload and duplication– No trust in information
• BI restricted to a few– BI mostly for specialists– Most make decisions on gut feel
• BI limited to reporting– No performance management strategy– KPIs poorly defined and distributed
• Data only used internally– Weak customer/supplier relationships– Untapped reservoirs of profits
High Performance OrganizationHigh Performance Organization• One enterprise BI solution
– Unified view of the Enterprise– Lowest cost of ownership
• Trusted information– Enables focus on action– As opposed to arguing about data
• Information democracy– Empowers all employees with insight– Seamless part of the work environment
• BI drives EPM drives strategy– Aligns strategy to execution– KPI shared across Enterprise
• Information shared externally– With Financial Institutions– With partners and suppliers
Copyright 2007 Data Management Group. All Rights Reserved.
What’s Behind A Dashboard or report?
Metrics must aggregate from multiple sources
Information must be actionable
Business definitions must be consistent
Endusers must trust the information
Copyright 2007 Data Management Group. All Rights Reserved.
EIM Technical Drivers
• Large number of Legacy Systems• Stovepipe Data/Data Silos
• Many tactical systems with similar data• Coordination among different departments challenging
• Complex ERPs• Manual Processes
• Functional knowledge outside of data management• Real Time Needs on Disparate Data
• Rollup of information with multiple owners• Data quality issues
• Unexpected data in source systems• Finding the right system for the right data• Users may have multiple touch points• Physical address for users can be moving
Copyright 2007 Data Management Group. All Rights Reserved.
DataQuality Data Quality Firewall (DI, DF, Data Quality)
EIM – ConceptsEIM – Concepts
Data
BusinessIntelligence
DataIntegration
DataIntegrator
Data Federator
Master Data Management DI, DF, MM
* Partner Technology
Composer
RapidMarts
Me
tad
ata M
an
ag
er
Me
tad
ata M
an
ag
er
Copyright 2007 Data Management Group. All Rights Reserved.
EIM - BenefitsEIM - Benefits
• Improves Business Performance– Reliable, trusted information, improve customer
satisfaction, increase revenue• Complete View of Business
– Operational efficiency, agility, time to decision, and compliance
• Cost Reductions– Reduce manual processes
Data Integrator
Copyright 2007 Data Management Group. All Rights Reserved.
Data Integrator – What is it?Data Integrator – What is it?
• Offers full Data Lineage• End user Impact Analysis• Highly Scalable Product• Pre-built Transformations• Built In Data Previewing, Profiling & Auditing• Multi-User Development With Version Control• Large Number Of Database & Application Interfaces• Create & Maintain BOBJ Universes Directly From DI• One Vendor, One Integrated Single GUI Solution
Copyright 2007 Data Management Group. All Rights Reserved.
Data Integrator – BenefitsData Integrator – Benefits
• Data lineage back to source (full audit abilities)• Impact analysis (What affect will a database change have on
reports / users)• One version of the truth / Trusted data• Flexibility for the future / Highly scalable and upgradeable (new
sources, etc)• Improved overall system performance• Operational Efficiency compared to manual processes• Lower TCO, documented workflows• Ease of use, single GUI
Copyright 2007 Data Management Group. All Rights Reserved.
Data Quality Firewall
Data profiling – identifies problems in source data
Data cleansing – corrects name and address information
Data validation – filters out bad data before it’s used for reporting
Data auditing – checks the integrity of data at each point in the ETL process
Tru
sted
In
form
atio
n
RealTime DI
Engine
Batch
BusinessObjectsData Integrator
Business Objects BI Platform
Data Sources
Databases
EnterpriseApplications
Legacy
DataWarehouse
Performance Management
Reporting
Query and Analysis
Shared MetadataImpact Analysis Data Lineage
Data Auditing
Data Validation
DataCleansing
Dat
a p
rofi
ling
Copyright 2007 Data Management Group. All Rights Reserved.
Data Validation
• Easily define and reuse business rules to validate accuracy of data in each column
• Identify and reject or correct invalid data
Ensure data accuracy at the column and record level
Validate Validation Rule: “Sales Date” is Validation Rule: “Sales Date” is between “10/1/04” and “10/31/04”.between “10/1/04” and “10/31/04”.
Copyright 2007 Data Management Group. All Rights Reserved.
End-to-End Impact Analysis
See impact of source changes to BI end-user report
What data warehouse will it impact?
Original sourcetables
Data warehouse
BI semantic layer
BI documents
Which BI reports will it impact?
Data Federator
Copyright 2007 Data Management Group. All Rights Reserved.
Data Federator – What is it?Data Federator – What is it?
• “Virtual” Data Warehouse• Temporary Data Warehouse created in RAM• Certain advantages over “Physical” Data warehouse
• No additional server / system to buy, maintain & staff• Faster for certain types of application• Real time access
• Not suitable for High Volume applications
Copyright 2007 Data Management Group. All Rights Reserved.
Data Federator – BenefitsData Federator – Benefits
• Deliver trusted data for compliance, internal controls, and decision making
• Understand the entire BI project• Lower TCO through easy change management
Copyright 2007 Data Management Group. All Rights Reserved.
DI and DF Are Complimentary
ETL
EII
Data
Inte
gra
tion S
pect
rum
Real Time
Batch
Within data
integration, EII and ETL
are very complementa
ry
EII
• Data moved on-demand / at query time
•Only requested data
• Real Time
• Summary and Detail Data
• Relational + XML
• Suitable for Ad-hoc queries
•Supports incremental development
• Data moved on-demand / at query time
•Only requested data
• Real Time
• Summary and Detail Data
• Relational + XML
• Suitable for Ad-hoc queries
•Supports incremental development
• Data moved ahead of query time
• Moves predetermined set of data every time
• Batch
• Primarily summary Data
• Relational + multidimensional
• Designed for systematic
development
• Data moved ahead of query time
• Moves predetermined set of data every time
• Batch
• Primarily summary Data
• Relational + multidimensional
• Designed for systematic
development
ETL
Data Quality
Copyright 2007 Data Management Group. All Rights Reserved.
Do You Trust Your Information?
“Get your facts first…
Mark Twain
you can distort them later.”
Copyright 2007 Data Management Group. All Rights Reserved.
• Dirty data will cost US and European businesses $6.3 billion per year by 2010
Yankee Group Research, Inc.
July, 2006
The Cost of “Dirty” Data
Copyright 2007 Data Management Group. All Rights Reserved.
Data Cleansing – What to look for?
• What to look for:– Bad addresses– Non-standard firm names– Multi-format person names– Incorrect part numbers– Wrong account values– Missing data – Duplicate records– Etc, etc, etc, etc.
Copyright 2007 Data Management Group. All Rights Reserved.
Drivers for Data Quality
• Operational Efficiency: Reference data quality problems– Customer and operational databases– Physical and Logical inventory
• Merger and Acquisitions – Corporate standards conformation– Multiple product catalogues, product SKUs
• Customer Retention: Planning of marketing campaigns– Campaign performance– Multiple offers to same customer– Single customer view
• Compliance– Regulatory reporting– “Know Your Customer” requirements
Copyright 2007 Data Management Group. All Rights Reserved.
Enhance
Data Quality Methodology
Copyright 2007 Data Management Group. All Rights Reserved.
Data Cleansing – Benefits
• Streamlines, shortens, and optimizes workflows– People still manually research addresses, phone numbers, etc.
• Improves application user confidence and adoption– Is your CRM system frustrating its users?
• Reduces risk of operational failures– What went wrong with the marketing campaign?
• Ensures customer interaction is uniform and trouble free– Is it Dr. Bob, or Professor Robert, or just R. Smith PhD?
• Enhances revenue opportunities– Are all of your customer on-premise equipment being charge for?
Rapid Marts
Copyright 2007 Data Management Group. All Rights Reserved.
Rapid Marts – BI for ERPRapid Marts – BI for ERP
– What is your ERP reporting strategy?– Would it be of benefit to accelerate your ERP reporting
initiatives?– Is all the your data in your ERP?– Have you considered benefits of a data warehouse with
you ERP?– Are you getting ROI on your ERP?
Copyright 2007 Data Management Group. All Rights Reserved.
BusinessObjects Rapid Mart – What is it?
SAP R/3
PeopleSoftJD Edwards
Siebel
Oracle
Enterprise Apps
Target
Packaged ETL solution for enterprise applications to accelerate the deployment of BI
BOBJRapid Mart
BOBJData Integrator
Copyright 2007 Data Management Group. All Rights Reserved.
Rapid Marts – What to look for?Rapid Marts – What to look for?
• Ideal if:– Customer has chosen SAP, Oracle Apps, Peoplesoft,
JDE, Siebel, or Salesforce.com– Customer is at the beginning of their ERP
implementation– Customer is just deployed their ERP
Copyright 2007 Data Management Group. All Rights Reserved.COPYRIGHT © 2007 BUSINESS OBJECTS S.A. ALL RIGHTS RESERVED.SLIDE 34
3 Pillars Of Value
HETEROGENEITY
“BI for Any Data”
SIMPLICITY
“BI for Everyone”
AGILITY
“BI for Change”
Finance OperationsSales &
MarketingIT HRD
epar
tmen
tS
amp
le
Met
rics
•# Security Threats •Availability %•Utilization %•Resolution Time
•Revenue•Growth•Cost•Productivity
•Staffing Levels•Attrition Rates•Compensation %•Performance %
•Inventory Levels •Utilization•On-time delivery %•Demand Flexibility
•Marketing ROI•Pipeline & Forecast•Renewal %•Customer Loyalty
Copyright 2007 Data Management Group. All Rights Reserved.
Questions
• Questions?
• Contact Information– John Morrissey, Managing Director, DMG– [email protected]– 703-462-6733 (office phone)