Transcript
Page 1: Business Intelligence Megan Amberson Mallory Conger Tamara Day

Business Intelligence

Megan Amberson

Mallory Conger

Tamara Day

Page 2: Business Intelligence Megan Amberson Mallory Conger Tamara Day

What is Business Intelligence (BI)?

“A set of business processes for collecting and analyzing business information. This includes the technology used in these processes, and the information obtained from these processes.” (Wikipedia.org)

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What Counts?

Various software programs have been developed to ease the work of gathering and analyzing large quantities of data.

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BI TechnologyTERM DEFINITION EXAMPLE

(Safeway Club Cards)

Data Warehouse:

A repository of integrated information from various sources, for queries and analysis. (Wikipedia.org)

A summary of data collected from every Safeway card used in all Safeway stores.

Data Mart: A subset of a data warehouse. Contains specific, predefined groups of data.

(Wikipedia.org)

Customers purchasing Pepsi and customers purchasing Doritos.

Data Mining: Exploration of the data contained in data warehouses or marts in search of patterns.

(Wikipedia.org)

Do customers that purchase Pepsi also purchase Doritos?

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Business Processes Example

“Extending UML 2 Activity Diagrams With Business Intelligence Objects” (pg.10)

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Finding Patterns in DataMany methods can be used to find

usable data out of the volumes generated in today’s technology driven world. These can include: Decision Trees: has limited applicability

and works best for classification tasks Genetic Algorithms: selection of data that

best fits optimal criteria Nonlinear Regression Methods: based on

searching for a dependence of the target variable on other variables.

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Business Intelligence Companies (Gartner’s Magic Quadrant)

Figure 1. Magic Quadrant for BI Platforms, 1Q06

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Gartner’s Criteria for Evaluation (2) Ability to execute

1. Product/Service: (HIGH)2. Overall Viability: (HIGH)3. Sales Execution/Pricing: (STANDARD)4. Market Responsiveness and Track

Record: (LOW)5. Market Execution:. (LOW)6. Customer Experience: (HIGH)7. Operations: (STANDARD)

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Gartner’s Criteria for Evaluation

Completeness of Vision1. Market Understanding: (HIGH)

2. Marketing Strategy: (STANDARD)

3. Sales Strategy: (STANDARD)

4. Product Strategy: (HIGH)

5. Vertical/Industry Strategy: (LOW)

6. Innovation: (HIGH)

7. Geographic Strategy: (STANDARD)

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What do the Quadrants Mean?

Leaders(Global

companies that offer a complete range of products)

Visionaries(Market thought

leader and innovator with gaps)

Challengers(supplementing

current business offerings)

Niche Players(only offering a

specific part of BI, not a complete package)

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Profile of Companies and Products

Microsoft Late to market

mover, but going in right direction

Actuate Good understanding

of the market, but facing difficulty proving legitimacy

Cognos #1 company in BI

software and performance

Hyperion Broad array of BI

capabilities and good overall vision

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Top 10 Trends in BI during 2006

1. Information Quality

2. Master Data Management

3. Data Governance

4. Enterprise-Level BI

5. Regulatory Compliance

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Top 10 Trends in BI during 2006

6. Enterprise Data Transparency

7. Actionable BI

8. Service-oriented Architecture

9. Rightshoring

10.Semi-structured and Unstructured Data

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The Future of BI Gartner’s Predictions for

Year-End 2007

3 main continued trends -Consolidation -Strategic to Operational -More Sophisticated Analytics

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QUESTIONS?????