Title: Business Intelligence
1Business Intelligence
2Business Intelligence
- A set of technologies and processes that use data
to understand and analyze business performance
(Davenport and Harris, 2007). - Business information and business analyses within
the context of key business processes that lead
to decisions and actions and that result in
improved business performance (Williams and
Williams, 2007). - Business intelligence is the use of information
that enables organizations to best decide,
measure, manage and optimize performance to
achieve efficiency and financial benefit (Gartner
2007).
3Business Intelligence
Business Information
Business Analyses
Business Decisions
In the Context of Core Business Processes
Increased Sales,Reduced Costs, andIncreased
Profits
4Extent of BI Adoption
5Analytical Application Domains
6Number of Users per Application
7User Types
8Application Platforms
9Report Interactivity
10Examples
- Western Digital uses BI to better manage its
inventory, supply chains, product lifecycles, and
customer relationships. BI has enabled the
company to reduce operating costs by 50. - Capital One uses BI to analyze and improve
profitability of its product lines as well as
effectiveness of its business processes and
marketing programs. - Continental Airlines invested 30 million in BI
to improve its business processes and customer
service. Continental says it has reaped a 500
million return.
11BI Drivers
- Abundance of data
- ERP Systems
- Inexpensive storage
- Ease of collection
- Network infrastructure
- Web technologies
- Mature data warehouse technologies
- Powerful and easy to use analytical software
- Need to squeeze as much as possible from business
processes - Recent Accenture study that found that nine in 10
senior executives at Fortune 1000 companies place
strong analytical and business intelligence
capabilities at the top of their list in
preparing them for their biggest challenge ahead
12What does BI Include?
- Data warehouses, data marts
- Reporting, querying
- Dashboards, scorecards
- Forecasting, statistical analysis
- Simulation, optimization models
- Measurement
- Process reengineering
- Business Process Management (BPM)
13BI and Analytics
Whats the best that can happen?
Optimization
Predictive modeling
What will happen next?
Analysis
Competitive Advantage
Forecasting/extrapolation
What if these trends continue?
Statistical analysis
Why is this happening?
Alerts
What actions are needed?
Query/drill down
Where exactly is the problem?
Access and Reporting
How many, how often, where?
Ad hoc reports
Standard reports
What happened?
Degree of Intelligence
14Corporate Information Factory
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15Closed Loop Analytical Process (Vesset, 2003)
Track
Analyze
Analytical
Transaction-Oriented
Model
Act
Decide
16Failures
- Many BI initiatives have failed to live up to
their hype - A recent survey in the UK found that 87 of BI
projects dont live up to expectations - Nearly a quarter of BI projects intended to
improve management decision making are going over
budget. - A fifth found that data failed to reveal
important information, and only half said that
end-users were satisfied with the system.
17Reasons for Poor Performance
- Business value is not built into the project from
the beginning - Many projects are led by IT and thrown over the
wall to users - Even when business users are involved, little
thought is given to how the project will effect
business processes - Most technical details are well understood but
often issues of data quality and integration are
not given sufficient attention - Failure is rarely due to technical issues
18Value Creation
Project Timeline
Many BI Initiativesstop here!
But they need to gohere!
BI Asset Creation
BI Value Capture Phase
19BI Preconditions for Value Creation
Strategic Alignment
Process Engineering
Change Management
Business Value of Business Intelligence
BI Technical Development
BI Project Management