business intelligence challenges 2009
TRANSCRIPT
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Business Challenges
• Evolving Business Models• Unique Data Models• Nonstandard Reporting Periods• Nonstandard Market definitions• Dense Aggregation Models• High level of interactive and adhoc
reporting requirements• Dynamic event driven report scheduling
requirements
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Business Business Intelligence Intelligence ArchitectureArchitecture
Reporting toolsReporting tools
Report ServersReport Servers
ETL ServersETL Servers
Database ServersDatabase Servers
Facts
Dimensions
Aggregates
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Query Overload
Why can’t I query all markets for 18 months of product sales by store, demo and sales campaign?
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Query performance tune up kit
How do we get faster queries?
Bigger Servers?
More Servers?
Faster Servers?
More Indexes?
Composite Indexes?
Bitmap Indexes?
More Partitions?
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What is in the data warehouse?
Business users want to know. Power users need to know. Do we really know?
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Reporting Challenges
• Out of box BI tool configuration failing to meet user expectations.
• Perceived lack of what if capabilities in BI tools.
• BI tool SDK complex. Not end user or developer friendly.
• Database performance issues increasing• Business data not integrated or
aggregated enough.
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What is the BI Portal?
Is the BI portal the most productive environment for end users, developers or clients?
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How do we improve business How do we improve business performance with BI?performance with BI?
BI Architects?BI Architects?
Data Architects?Data Architects?
Report User’s Input?
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Empower the Business to Manage the Rules and Reporting
• Report maintenance must be:– A business function– Familiar– Integrated– Secure & controlled
So you business-types want to be able to change your reports?
I want to relax my methodology policy
I want to be able to promote a new product combination
I need to add the new regulations
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Analytically improve the rulesUse: Find the relationships between customers
Example: Sort customers into groups with different buying profiles.
Operation: Analysis is generally done offline, but the results can be used in automated decisions – such as offering a given product to a specific customer
Descriptive analytics can be used to categorise customers into different categories – which can be useful in setting strategies and targeting treatment.
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Add predictive insight
Use: Identify the odds that a customer will take a specified action
Example: Will the customer respond to this promotion?
Operation: Models are called by a business rules engine to “score” an individual or contact.Predictive analytics often rank-order
individuals. For example, credit scores rank-order borrowers by their credit risk – the higher the score, the more “good” borrowers for every “bad” one.
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Business PerformanceManagement
Tactical Analysis
Lets Develop A BI Strategy
Operations Monitoring
Business Goals
Information
BI Infrastructure
Business Strategy
Analytic Capabilities
Intelligence
People
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Integrate Strategy and a BI Roadmap
Business Drivers
Business Goals
Analytical
Capabilities
Technical
Deliverables
Resources
CustomerConsolidation
Product ExpansionsAccountability
Internal / External
Infrastructure
Infostructure
EPS and RevenueGrowth
Support product Rollout Top 50 Markets
BI Support for 20%Of Employees
2007 2008 2009 2010
Globalization
Data structuresDaily Panel Results
Market Performance
Process Performance
Verified Data
? AggregatesDaily Data Business Metrics Repository
•Canned Reports
•Parameter Reports
•Dashboards
•Adhoc Reporting
•Key Demo Metrics Alerts
•Compliance Monitoring
•Market monitoring
•Weekly and Monthly Metric Projections
•Performance and Benchmark projections
Data Information Intelligence Insight
Regulatory and compliance Support
Data Quality Assurance
Market Monitoring and Reporting
Forward LookingBackward Looking Alerts