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Business Intelligence Megan Amberson Mallory Conger Tamara Day.
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Transcript of Business Intelligence Megan Amberson Mallory Conger Tamara Day.
![Page 1: Business Intelligence Megan Amberson Mallory Conger Tamara Day.](https://reader035.fdocuments.us/reader035/viewer/2022071806/56649db55503460f94aa6e15/html5/thumbnails/1.jpg)
Business Intelligence
Megan Amberson
Mallory Conger
Tamara Day
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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?????