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Slides for JackBe. Wayne Eckerson Principal Consultant, BI Leader Consulting. NetApp – Enterprise BI Framework. Graphical Data . Dimensional Data. Detailed Data. Transactional Data. Enterprise Analytics. Functional Analytics. Sales, Marketing, Product Ops, Finance, Global Services …. - PowerPoint PPT Presentation
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Slides for JackBe
Wayne EckersonPrincipal Consultant, BI Leader Consulting
2
Slide courtesy of NetApp
NetApp – Enterprise BI Framework
EnterpriseAnalytics
Functional AnalyticsSales, Marketing, Product Ops,
Finance, Global Services …
Role-Based AnalyticsSales Rep, Account Manager, DM, RM, SE, Marketing
analytics, Financial analytics, Security Admin, IT Admin, Audit, Usage Tracking…
Subject Area AnalyticsCross-sell, Up Sell, Account Performance, end customer, Period Close
performance, Hourly Projected Booking Analytics…
360 Degree ViewsCustomer, Partner, Product, Service, Sales Rep, employee, user…
Improve AccountabilityMeasu
re P
erfo
rman
ce
Increase Productivity
Detailed Data
Dimensional Data
Graphical Data
Transactional Data
Unified BI platform: Build once, deploy multiple instances
3
MAD Framework
Detailed Data
Summarized Dimensional Data
Graphical Metrics Data
Detailed Transactional Data
Monitor
Analyze
Drill thru
Functionality
Executives/ Managers
Analysts
Workers
Users
4www.bileader.com
5www.bileader.com
www.bileader.com 6
Market Evolution
Enterprise BI vendors
Oracle, SAP, IBM, SAS
“BI as foundation technology”
Low cost BI vendors
Microsoft, QlikTech, O
pen
Source, Cloud BI (SaaS)
“BI for the mid-market”Client/Server
Web
SOA/Web Services
Data Warehousing
Business Intelligence
Performance Management
1990s 2000s 2010
CEO,CFO, CMO, etc.
“Get the data”
“Use the data”
“Improve the business”
Analytics“Drive the business”
2007 Mega M&A:OracleHyperionSAPBusiness ObjectsIBM Cognos
Mobile
Cloud
8
Waves of BI
Bus
ines
s Va
lue
High
2010s (mainstream)
Reporting
1980s
Analysis
Prediction
Monitoring
Query, Excel, OLAP, Visual discovery
Dashboards, Scorecards
Statistics, data mining, optimization
Static & Interactive Reports
“What happened?”
“Why did it happen?”
“What’s happening?”
“What will happen?”
Low
= Reporting
= Analytics
1990s 2000s
Reporting & Monitoring (Casual Users)
Predefined metrics
Corporate Objectives and StrategyTOP DOWN- “Business Intelligence”
Processes and Projects
Analysis and Prediction (Power Users)
Ad hoc queries And data
BOTTOM UP – “Analytics Intelligence”
Analysis Begets Reports
Reports Beget
Analysis
Pros: -Alignment-Consistency
Cons: -Hard to build-Politically charged-Hard to change- Expensive-“Schema Heavy”
Pros: -Quick to build- Politically uncharged- Easy to change- Low cost
Cons: -Alignment-Consistency--“Schema Light”
DW Architecture
Non-volatile data
Analytics Architecture
Volatile data
Reporting & Monitoring (Casual Users)
Predefined metrics
Corporate Objectives and StrategyTOP DOWN- “Business Intelligence”
Processes and Projects
Analysis and Prediction (Power Users)
Ad hoc queries And data
BOTTOM UP – “Analytics Intelligence”
Pros: -Alignment-Consistency
Cons: -Hard to build-Politically charged-Hard to change- Expensive-“Schema Heavy”
Pros: -Quick to build- Politically uncharged- Easy to change- Low cost
Cons: -Alignment-Consistency--“Schema Light”
Self-Service BISuper Users
DW Architecture
Non-volatile data
Analytics Architecture
Volatile data
Reporting & Monitoring (Casual Users)
Predefined metrics
Corporate Objectives and StrategyTOP DOWN- “Business Intelligence”
Processes and Projects
Analysis and Prediction (Power Users)
Ad hoc queries And data
BOTTOM UP – “Analytics Intelligence”
Pros: -Alignment-Consistency
Cons: -Hard to build-Politically charged-Hard to change- Expensive-“Schema Heavy”
Pros: -Quick to build- Politically uncharged- Easy to change- Low cost
Cons: -Alignment-Consistency--“Schema Light”
Semantic Layer/Mashboards
Visual Analysis/Direct Connect Dashboards
DW Architecture
Non-volatile data
Analytics Architecture
Volatile data
Three TypesOperational Tactical Strategic
Purpose Control operations Optimize processes Manage strategy
Scope Operational Departmental Enterprise
Users Staff+ Managers+ Executives+
Primary activity Act Analyze Review
Focus Current Past Future
Data Refresh Intraday/Daily Daily/Weekly Monthly/Quarterly
Primary Source Core systems Data warehouse Data mart/Excel
KPIs Drivers Outcomes/Drivers Outcomes
Existing? 100% 75% 50%
Looks Like? Dashboard Portal Scorecard
Mapping Users to Dashboards
Strategic Dashboard
Tactical Dashboard
Operational Dashboard
Executives
Managers/Analysts
Operations Staff
59%
80%
64%
29%38%
20%12%
Operational Tactical Strategic All equally
In use
Most widely used
Dashboard Usage by Type
Based on 685 respondents, 2009
(Deployed)
37% 33%
8%
33%29%
24%
0%
10%
20%
30%
40%
50%
60%
70%
80%
Operational Tactical Strategic
High
Very high
To what degree has the dashboard had a positive impact on the business?
Based on 685 respondents, 2009
Metrics and Users
Operational Tactical Strategic# of top-level metrics 11 12 14
Total # of metrics 141 110 183
Total # of users 230 236 180
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