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Current Business Intelligence Challenges By Lonnell Branch
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Page 1: Business Intelligence Challenges 2009

Current Business Intelligence Challenges

By Lonnell Branch

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Table of Content

• Current State• Data warehouse

Issues• Reporting Issues• Future State

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Current State

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Where Is Business Intelligence Where Is Business Intelligence Headed?Headed?

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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 Tool Diversity

Let’s Start Reporting

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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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Has the ETL Run Yet?

How do we coordinate ETL and Reporting Processes?

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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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How do we get BI to the small guy?

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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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What Business Reports are availabe from the BI tool?

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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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What do users Want?What do users Want?

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Less Complexity

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Data Democracy

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Speed !!!Speed !!!

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Future State

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Suggestions

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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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Let’s Plan for Change

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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

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31The End