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Business Intelligence Tracy Hartley Zack Johnson Marissa McGee

Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

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Page 1: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

Business IntelligenceBusiness Intelligence

Tracy HartleyZack Johnson

Marissa McGee

Tracy HartleyZack Johnson

Marissa McGee

Page 2: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

What Is Business Intelligence?

What Is Business Intelligence?

• A set of concepts and methods to improve business decision-making by using fact based support systems.

• In other words, business intelligence is created from computer software that analyzes company data and creates useful reports that make the decision-making process more effective and efficient.

Wikipedia, encyclopedia

• A set of concepts and methods to improve business decision-making by using fact based support systems.

• In other words, business intelligence is created from computer software that analyzes company data and creates useful reports that make the decision-making process more effective and efficient.

Wikipedia, encyclopediaData

BIProgram Information

Reports

Page 3: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

History…History…• Sun Tzu’s “The Art of War”

• One should have full knowledge of one’s own strengths and weaknesses as well as full knowledge of one’s enemy’s strengths and weaknesses.

• Before the Information Age• Businesses struggled with the up keep of

information and storage.• The process was slow and often ineffective.

• Modern Business• Technology has allowed for more effective and

efficient systems.• Up to the minute data and analysis.

• Sun Tzu’s “The Art of War”• One should have full knowledge of one’s own

strengths and weaknesses as well as full knowledge of one’s enemy’s strengths and weaknesses.

• Before the Information Age• Businesses struggled with the up keep of

information and storage.• The process was slow and often ineffective.

• Modern Business• Technology has allowed for more effective and

efficient systems.• Up to the minute data and analysis.

Page 4: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

Basic Components of Any BI Program

Basic Components of Any BI Program

• Data warehouse: a database that holds business information from many sources in the enterprise, covering all aspects of the company’s processes, products and customers (Stair, 219)

• Data mart: Subsets of a data warehouse that bring data to small and medium-sized businesses as well as the different departments of larger businesses (Stair, 221)

• Data warehouse: a database that holds business information from many sources in the enterprise, covering all aspects of the company’s processes, products and customers (Stair, 219)

• Data mart: Subsets of a data warehouse that bring data to small and medium-sized businesses as well as the different departments of larger businesses (Stair, 221)

Page 5: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

Data MiningData Mining

• An automated analysis that looks for patterns and relationships in data warehouses.

• Computer software that requires the user’s trust to find all of the valid relationships needed.

• Bottom-up analysis that creates hypothesis and predictions.

• An automated analysis that looks for patterns and relationships in data warehouses.

• Computer software that requires the user’s trust to find all of the valid relationships needed.

• Bottom-up analysis that creates hypothesis and predictions.

Page 6: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

OLAPOLAP

• Online Analytical Processing• Creates reports using the data

warehouses• A top-down analysis that requires

user created queries to match information and determine relationships.

• Requires a high level of user skills and understanding of the system.

• Online Analytical Processing• Creates reports using the data

warehouses• A top-down analysis that requires

user created queries to match information and determine relationships.

• Requires a high level of user skills and understanding of the system.

Page 7: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

Key Differencesbetween Data Mining and

OLAP

Key Differencesbetween Data Mining and

OLAP

• Data mining takes the data and finds relationships despite the user’s assumptions.

• OLAP finds relationships in the data according to the user’s assumption.

• Data mining takes the data and finds relationships despite the user’s assumptions.

• OLAP finds relationships in the data according to the user’s assumption.

Page 8: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

The Five Stages of BIThe Five Stages of BI• Data Sourcing

• Data Analysis

• Situation Awareness

• Risk Analysis

• Decision Support

• Data Sourcing

• Data Analysis

• Situation Awareness

• Risk Analysis

• Decision Support

Page 9: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

Data SourcingData Sourcing

• Extracts data from different areas• Memos• Reports• E-mails• Photos

• Data is collected through• Database queries• Web searches

• Extracts data from different areas• Memos• Reports• E-mails• Photos

• Data is collected through• Database queries• Web searches

Page 10: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

Data AnalysisData Analysis

• Search through the data to find that which is relevant to the company’s needs.

• Also known as data mining• Can be in the form of current

or future trends.

• Search through the data to find that which is relevant to the company’s needs.

• Also known as data mining• Can be in the form of current

or future trends.

Page 11: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

Situational AwarenessSituational Awareness

• Any irrelevant information is discarded and the relevant information is set in the context of the business and its environment.

• Applying the information to the problem.

• Any irrelevant information is discarded and the relevant information is set in the context of the business and its environment.

• Applying the information to the problem.

Page 12: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

Risk AssessmentRisk Assessment

• Decisions are made in terms of what actions should be taken and when.

• Analyze the current and future risks associated with our decisions.

• Weigh the costs and benefits of making the decisions.

• Decisions are made in terms of what actions should be taken and when.

• Analyze the current and future risks associated with our decisions.

• Weigh the costs and benefits of making the decisions.

Page 13: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

Decision SupportDecision Support

• Apply the information you need in an appropriate time frame and manner.

• Apply the information you need in an appropriate time frame and manner.

Page 14: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

The Many Types of BIThe Many Types of BI

DATA• Data mining• Data warehouse• DSS• EIS• GIS• MIS• OLAP• Text mining

DATA• Data mining• Data warehouse• DSS• EIS• GIS• MIS• OLAP• Text mining

KNOWLEDGE• ExperienceKNOWLEDGE• Experience

Page 15: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

Designing/ImplementingDesigning/Implementing

• Questions to ask

• Risk assessment

• Who uses BI?

• Companies/software

• Questions to ask

• Risk assessment

• Who uses BI?

• Companies/software

Page 16: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

Assessments to be Made by the Company Before Implementing a BI

Program

Assessments to be Made by the Company Before Implementing a BI

Program

• Assess short- and long-term goals.• Set tangible goals with deadlines and

expectations

• Assess the current method of collecting business intelligence• Determine strengths and weaknesses• Is current method effective for

achieving goals?

• Assess short- and long-term goals.• Set tangible goals with deadlines and

expectations

• Assess the current method of collecting business intelligence• Determine strengths and weaknesses• Is current method effective for

achieving goals?

Page 17: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

Assessments to be Made by the Company Before Implementing a BI

Program

Assessments to be Made by the Company Before Implementing a BI

Program

• Determine the financial consequences associated with a new BI program• Work with companies, such as IBM, to

adequately determine the needs of the company.

• Costs include more than just the software…

• Set-up• Employee training• Updating the system• Personnel• Maintenance

• Determine the financial consequences associated with a new BI program• Work with companies, such as IBM, to

adequately determine the needs of the company.

• Costs include more than just the software…

• Set-up• Employee training• Updating the system• Personnel• Maintenance

Page 18: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

Assessments to be Made by the Company Before Implementing a BI

Program

Assessments to be Made by the Company Before Implementing a BI

Program

• Identify who is going to pay for the program.

• Determine any risks outside of cost that might arise from a new BI program

• Address possible benefits.• Both quantitative and qualitative

internal and external to the company.

• Weigh the costs and benefits

• Identify who is going to pay for the program.

• Determine any risks outside of cost that might arise from a new BI program

• Address possible benefits.• Both quantitative and qualitative

internal and external to the company.

• Weigh the costs and benefits

Page 19: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

Assessments to be Made by the Company Before Implementing a BI

Program

Assessments to be Made by the Company Before Implementing a BI

Program

• Set up a system of metrics and measurements to analyze results.

• Benchmark against other companies.

• Evaluate system on a regular basis to allow for any corrections that need to be made.

• Set up a system of metrics and measurements to analyze results.

• Benchmark against other companies.

• Evaluate system on a regular basis to allow for any corrections that need to be made.

Page 20: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

Companies That Provide BI Programs

Companies That Provide BI Programs

• IBM• Offers both software and hardware• Provides components of BI programs

and entire systems• Banking, Criminal, Retail and Insurance

are some of the industries IBM offers support to

• SAP• Oracle

• IBM• Offers both software and hardware• Provides components of BI programs

and entire systems• Banking, Criminal, Retail and Insurance

are some of the industries IBM offers support to

• SAP• Oracle

Page 21: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

ApplicationsApplications• Sales

• Pricing• Profit margins• Which products are being purchased

• Consumer behavior• Which customers are buying what, when.• What factors effect purchasing behavior

• Competitive Intelligence• What our competitors doing that we

could/should be doing?• Do we have a competitive advantage?

• Counter Intelligence

• Sales• Pricing• Profit margins• Which products are being purchased

• Consumer behavior• Which customers are buying what, when.• What factors effect purchasing behavior

• Competitive Intelligence• What our competitors doing that we

could/should be doing?• Do we have a competitive advantage?

• Counter Intelligence

Page 22: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

Boscov’s Department Store

Boscov’s Department Store

• Boscov’s Department Store• 40 stores in Pensylvania, New

York, New Jersey, Deleware, Maryland and Virginia

• Family owned company.• Upper level management includes

206 employees

• Boscov’s Department Store• 40 stores in Pensylvania, New

York, New Jersey, Deleware, Maryland and Virginia

• Family owned company.• Upper level management includes

206 employees

Page 23: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

Doscov’s Department Store

Doscov’s Department Store

• Problem: Only able to provide weekly sales reports.• Insufficient for employees to keep the

shelves adequately stocked with the right products

• Unable to meet some customers’ immediate needs.

• Goal: Wanted to keep their company growing and provided more up-to-date reports.

• Problem: Only able to provide weekly sales reports.• Insufficient for employees to keep the

shelves adequately stocked with the right products

• Unable to meet some customers’ immediate needs.

• Goal: Wanted to keep their company growing and provided more up-to-date reports.

Page 24: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

Boscov’s Department Store

Boscov’s Department Store

• Solution: IBM DB2 Universal Database for z/O• Provides buyers with mission-

critical business intelligence on sales performance

• Optimize performance of the data warehouse and the queries that buyers depend on to make important business decisions.

• Solution: IBM DB2 Universal Database for z/O• Provides buyers with mission-

critical business intelligence on sales performance

• Optimize performance of the data warehouse and the queries that buyers depend on to make important business decisions.

Page 25: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

Boscov’s Department Store

Boscov’s Department Store

• Results: Able to provide current and accurate daily sales information• Making better sales decisions and

provide better products and services for its customers.

• Results: Able to provide current and accurate daily sales information• Making better sales decisions and

provide better products and services for its customers.

Page 26: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

Safeway Club CardSafeway Club Card

• Means for company to track sales per customer.• Allows Safeway to target

profitable and discourage nonprofitable customers

• Can track purchasing trends• Better idea of what products sell

the best in different locations• Charge different prices for clients

for different floor location

• Means for company to track sales per customer.• Allows Safeway to target

profitable and discourage nonprofitable customers

• Can track purchasing trends• Better idea of what products sell

the best in different locations• Charge different prices for clients

for different floor location

Page 27: Business Intelligence Tracy Hartley Zack Johnson Marissa McGee Tracy Hartley Zack Johnson Marissa McGee

General Problems/Shortfalls

General Problems/Shortfalls

• Supply chain value• Can not predict everything

• Weather• Human error• Any other examples you can think

of?• Important to determine if it is

faster to get information from BI and make adjustments according to things you cannot predict!!

• Supply chain value• Can not predict everything

• Weather• Human error• Any other examples you can think

of?• Important to determine if it is

faster to get information from BI and make adjustments according to things you cannot predict!!