Learn about various BI architectures and approaches, as well as a comparison of different vendors’ BI offerings. See a demonstration of OLAP cube building. View the video recording and download this deck: http://www.senturus.com/resources/the-business-value-of-business-intelligence/ Senturus, a business analytics consulting firm, has a resource library with hundreds of free recorded webinars, trainings, demos and unbiased product reviews. Take a look and share them with your colleagues and friends: http://www.senturus.com/resources/.

1. The Business Value of Business
Intelligence
www.Senturus.com
Helping Companies Learn From the Past,
Manage the Present and Shape the Future

2. This slide deck is part of a recorded webinar.
To view the FREE recording of this entire
presentation and download the slide deck, go to
www.senturus.com/recorded-webinars.php
You will find this—and many other recorded webinars-- under the “Business
Intelligence 101”

3. Agenda
1. Introduction
2. BI Business Case Studies
3. Introduction to BI Architectures & Approaches
4. Demonstration: OLAP Cube Building
5. Upcoming Events, Resources

4. Introductions
Senturus, Inc.
– John Peterson
• Co-Founder, Chairman & COO
• jpeterson@senturus.com
– Barry Bisson
• Solutions Architect, BI Practice
• bbisson@senturus.com
– Jim Frazier
• Vice President, Sales
• jfrazier@senturus.com

5. Who is Senturus ?
• Consulting firm specializing in Corporate Performance Management
– Business Intelligence and Enterprise Planning
– Platform-independent
• Service Offerings
– Complete project implementations
– Staff augmentation
– Assessment and Roadmap consultations
– Upgrade & Support packages
– Training:
• Classroom, Onsite, Remote, Mentoring, Workshops & Webinars
• Led by professional trainers and seasoned consultants
• Experience & Credentials
– 400 clients in a range of industries and geographies
– IBM Cognos Platinum Partner, Microsoft Solutions Partner

6. A few of our 400+ Clients

7. Shutterfly
Objectives
• Engage budget owners in variance analysis (BvA)
• Trim 5 - 7 days from quarterly close
Key Steps
• Deployed planning system
• Built data mart to consolidate ERP and plan data
• Built front-end dashboard tool for plan contributors
Technical Solution / Tools
(1) Planning system – Cognos Enterprise Planning
(2) Data mart – Microsoft SQL Server 2005
(3) BI portal – IBM Cognos 8 BI with Cubes

8. Finance Data Mart
Dashboards Drill to Details
Reports
Scorecards
ERP KPIs
Planning
GL
Oracle Host Analytics
SAP
Data Mart Cognos Planning
Great Plains Hyperion Essbase
Lawson Single Source OutlookSoft
of Truth
JD Edwards Spreadsheets
Scenarios:
Daily Update
“ What If ”,
of Actuals
Historical

9. This slide deck is part of a recorded webinar.
To view the FREE recording of this entire
presentation and download the slide deck, go to
www.senturus.com/recorded-webinars.php
You will find this—and many other recorded webinars-- under the “Business
Intelligence 101”

10. CRC Health Group
Objective
• Enable management to compare staffing mix / levels across
lines of business and regions
Key Steps
• Normalize FTE measurements
• Map job titles into standard classifications
• Integrate data from GL, Payroll, Revenue, Scheduling
Technical Solution
• Metrics developed: (1) Productive FTEs, (2) Patient Days
• Tools leveraged: (1) Data Mart – Microsoft SQL Server 2005,
(2) BI portal – IBM Cognos 8 BI with PowerCubes

11. Labor Data Mart
Dashboards
Reports
Scorecards
ERP / GL POS / Transactional Systems
Scheduling Systems
Labor Mart HR Systems
Time Card Systems Payroll Systems & Services
AlterPoint Confidential

12. Labor Dashboard: Overtime

13. Labor Report: Budget vs. Actual

14. CRC Results
Labor Analytics
• Visibility into labor costs by region, by business unit
• Ability to compare staffing mix & levels
• Promotes sharing of best practices across regions
• Over $1M in savings in first year

15. Other Examples
• BBB
• Marketing Analytics
• Customer & Product Profitability
• GL Reporting
• Supply Chain / Procurement
• HR Analytics
• Lead & Opportunity Analysis
• Inventory Management

16. Typical Scenario • All along the value chain, people and systems
are generating transactional data
• These operational systems are designed for
data input & transaction throughput …not for
reporting and analysis
CRM
Planning
HR
Order Mgmt Budgets
Sales Forecasts Labor Costs
Sales Territories
Customer Contacts Manufacturing
Bill-to & Ship-to
Line Items
Ordering Codes
Returns BOMs
Production Costs Financials - GL
Actuals
Each system has the “best” data, with granular details for its Allocations
own domain: different versions of truth

17. Operational Data Source: ERP System
• Normalized data structure
with thousands of tables
built for processing
transactions
• Obscure table & column
names, convoluted
hierarchies make analysis &
reporting a challenge

18. Manual ‘Integration’ Heroics
• Each system is a separate silo,
with different data, incompatible
structures, no easy way to link it
all together
• The result is “Excel hell”, or a
garden of homegrown MS
Access databases, data dumps
and flat files
• Manual, time-intensive “point
solutions” are costly,
inconsistent, and unreliable
• Business users unable to leverage
timely strategic data across the
enterprise
Pulling Data Together is a Manual Process

19. This slide deck is part of a recorded webinar.
To view the FREE recording of this entire
presentation and download the slide deck, go to
www.senturus.com/recorded-webinars.php
You will find this—and many other recorded webinars-- under the “Business
Intelligence 101”

20. From Transactions to BI Value
Dimensions (Attributes) Measures (Metrics)
Date Time Store Product, etc. Qty Price Cost Margin, etc.
Added (Rolled-Up)
Date Averaged
Year Store ID Calculated
Product ID …
Quarter Store Name
Product Name
Month Store District
Product Class • Most organizations have
Week Store Region
Product Line mountains of good data
Day Store Mgr
Product Weight
Day name Store Age • It is unavailable, or not well-
Shipping Cost
… … structured for business users
…
• BI models and tools render
business value from this data
BI models & tools render business value from existing data

21. Dimensions & Hierarchies
Calculations &
Product
Product Consolidations
Line
Channel
Class
Margin, Roll-ups…
Product District
Subclass Measures / Facts
Amount, Quantity Store
Product
(SKU) Units = 10
Price = $17,525
Cost = $8,000
New Region Old Region
Day Season
Week WTD Territory
Versions
Scenarios Month MTD
Sales Rep
Quarter QTD
Actuals
Year YTD
Forecast
Period 1 Period 2

22. ETL
These data fields……………………………..……..from these systems
Account ID / Customer ID • Billing
Order Date / Invoice Date / Ship Date / Paid Date / Return Date • Shipping
Sales Rep -> Sales Manager -> VP Sales (last year vs. this year) • Manufacturing
Cost of Sales -> Sales Channels (direct & indirect) • CRM
Product Cost (by Line Item) / Shipping Cost (by Order) • ERP
SKU -> Product Class -> Product Line (last month vs. this month) • GL
• Partner Data
…can be magically transformed into strategic information, suitable for
making management decisions !
• Accurate rollups and calculations require that data be granular at the same level.
• Source systems use and store data in different ways, not at the same grain, not in
the same format, not following the same business rules.
• ETL (aka Data Integration) extracts data from different sources, transforms it into
meaningful measures at the right granularity, adds business dimensions and
hierarchies

23. Architectural Approaches
(Evolutionary Stages – Can Overlap)
• Direct Reporting against Operational Databases
• Reporting Instances and Views
• Data Warehouse and ETL Layer
• Metadata Layer
• Self-Service Portal
• OLAP Cubes

24. Reference BI Architecture
MS SharePoint, Cognos Connection, BOE Portal
Presentation Layer
Reporting BO Crystal Query
Report Studio
Services Web Client Enterprise Studio
Cognos Cognos MS
OLAP Cubes Hyperion
PowerPlay TM1 SSAS
Essbase
Metadata Layer BO Universe, Cognos Framework Manager
Data Warehouse Microsoft
SQL Server Oracle MySQL IBM DB2
or Data Marts
ETL Layer MS SSIS, Informatica, Pentaho
Source Data ERP External Excel In-House
Systems Sources Spreadsheets Systems

25. Multi-Dimensional OLAP Cubes
One cell = intersection of each dimension
Dimension Value
Date Jan
Version Dimension Dept 200
Budget Actual Account 6100
Department Dimension
Version Actual
200
…
Account Dimension
6100 300
Measure Value
6200 400 Amount $1,000
6300 500
6400
Jan Feb Mar Apr
Date Dimension

26. BI Workshop Topics
• Technologies
• MOLAP, ROLAP
• Metadata models
Topics
• ETL tools
for
• Reporting & dashboarding tools
Discussion
• Solution Architectures
• Data Mart vs. Data Warehouse
• In-memory cubes vs. persistent data store
• Self-service vs. content distribution
• Business Processes
• Source data integrity
• Master Data / Metadata management
• Project & road map philosophies
• Competencies & training

27. Vendor Comparison – BI Offerings
Component Microsoft Cognos Business Objects Oracle
Data Integration SQL Server Integration Data Manager Business Objects Warehouse Builder
Services (SSIS) Data Integrator (OWB)
Data Aggregation SQL Server Analysis PowerPlay Aggregate tables or Essbase, OLAP
(OLAP) Services (SSAS) Transformer 3rd party (e.g. SSAS) Option in DBMS
Data Abstraction SSAS Designer, Model Framework Universe Designer BI Server Modeler,
Modeling Designer (limited to Manager, Essbase Modeler
Report Builder) Transformer
Report Authoring SQL Server Reporting Report Studio Crystal, BI Publisher,
Services (SSRS), WebIntelligence Financial Rpting
Excel2007
Analysis Tool PerformancePoint Analysis Studio, WebIntelligence, BI Answers,
Analytics (ProClarity), PowerPlay Studio Voyager Essbase
Excel 2007 PivotTables
(external data)
Ad hoc Report Builder, Query Studio, WebIntelligence BI Answers
Query/Report PPS Analytics, MS Query Analysis Studio
Dashboard PerformancePoint Report Studio, Xcelsius, BI Interactive
Authoring Dashboard Designer, Metrics Studio Dashboard Builder Dashboards
SharePoint Excel Services
Scorecard PerformancePoint Metrics Studio Xcelsius, BI Interactive
Authoring Dashboard Designer Dashboard Builder Dashboards
Portal SharePoint Cognos Connection Business Objects BI Portal
Enterprise Portal

28. OLAP Cube Building
Demonstration
To view a free recoding of this demo, go to
www.senturus.com/recorded-webinars.php
You will find this recording under the Business Intelligence 101 section. It
is entitled The Business Value of Business Intelligence.

29. Upcoming Events & Resources
Business Intelligence Workshop
• Extended half-day session – September 16
• Hands-on experience with real BI tools
On-line Resources
• http://www.senturus.com/events.php
• http://www.senturus.com/recorded-webinars.php

30. Senturus PITM Offer
• “Prove it to Me” package
• Prototype dashboard / report
• Package includes:
– Requirements analysis, tool selection for prototype
– Population of dashboard / report with your sample data
– Demonstration of prototype solution
– Proposal for production implementation
• Rapid Proof of Concept to demonstrate business value
• 3 - 5 days, start to finish

31. Next Steps
To discuss how the Senturus “Prove it to Me”
offer could help demonstrate the value of BI in
your organization, please contact :
James Frazier, Vice President of Sales:
jfrazier@senturus.com
(650) 949-2921
To request a soft copy of this presentation,
please contact:
sales@senturus.com

32. This slide deck is part of a recorded webinar.
To view the FREE recording of this entire
presentation and download the slide deck, go to
www.senturus.com/recorded-webinars.php
You will find this—and many other recorded webinars-- under the “Business
Intelligence 101”

33. Contact Senturus
Senturus, Inc
www.senturus.com
sales@senturus.com
888-601-6010