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8/6/2019 Documenting Business Intelligence Chiradeep 101221051011 Phpapp02
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Documenting Business
Intelligence
Chiradeep Majumdar
Flextronics Software Systems
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Documenting Business Intelligence
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Contents
Definition of Business Intelligence
Scenario
Deduction
Analysis
Goals of Business Intelligence
Benefits of Business Intelligence
Why Should Business Intelligence be Documented?
Who Should Document Business Intelligence?
Qualities of a Good Documenter
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Contents
Challenges in Documenting Business Intelligence
Tools for Documenting Business Intelligence
Data Warehouse
Objectives of Data Warehousing
Data Warehousing Trends Data Warehousing Process
Architecture of a Data Warehouse
Evaluation Criteria for Data Warehouse
Data Mart
Data Mart Architecture Data Mining
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Definition of Business Intelligence
Business Intelligence is the process ofresearching the business environment and keyperformance indicators (KPIs) of a company to:
Understand the current position of the business
Identify opportunities and risks
Devise a strategy for business development
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Scenario
Managers and executives need to analyze
many business situations and find answers
to several questions to be able to
formulate strategies and policies aimed at
increasing competitive advantage.
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Scenario
Typical questions whose answers managers try tofind are:
Purchase:Who is the vendor that supplied the maximum quantity of
product A?
Production:What has been the average productivity and capacity utilizationin the current production cycle?
QA:How many products were defective last week? Have thenumber of defective products increased/decreased in thecurrent production cycle?
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Scenario
Typical questions whose answers managers try to
find are:
Sales:
How did the product A fare in regions R1 and R2 compared tothe competitors product ?
Finance:What is the net profit for this quarter?
Customer Service:Why wasnt the product delivered to the customer on time?
When was the last time the customer reported the problem X in
the product?
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Deduction
All these questions are related to:
Who
What
How Why
When
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Analysis
To find answers to such questions, managersneed to analyze data from both the micro andmacro environments:
Micro Environment Operational data pertaining to several
processes, such as production, finance.
Macro Environment
MIS data pertaining to competitors Customer trends
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Goals of Business Intelligence
Business Intelligence encompasses a collectionof processes, tools, and technologies that enableyou to:
Organize
Integrate
Summarize
Analyze and
Extrapolate
operational data
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Goals of Business Intelligence
The rapid pace of todays business has made Business
Intelligence systems indispensable to an organizations success.
Business Intelligence systems turn a companys raw data into
useable information that can help the management to identify
important trends, analyze customer behavior, and makeintelligent business decisions quickly.
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Benefits of Business Intelligence
Reduces operating costs
Increases profitability by improving
productivity, sales, and service Enhances the decision-making capabilities of
managers
Helps in business development by studying
market trends and competitor activities
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Why Should Business Intelligence
be Documented?
To identify issues in the business scenario
To provide the groundwork for an agreementon the business issues between the client
and the solution provider
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Who Should Document Business
Intelligence ?Client Organization
Project Manager
System Analyst
Solution Provider
Project Manager
Engineer
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Qualities of a Good Documenter
Strong analytical skills
Good Communication skills
Good knowledge of the business scenario
Good knowledge of the market
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Challenges in Documenting
Business Intelligence Relationships between entities not well defined
Special ability required to capture fuzzy relationships
Inability of the developer to communicate the fuzzy
relationships
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Tools for Documenting Business
Intelligence Data Warehouse
Data Marts
Data Mining
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Data Warehouse
Data warehouse is a subject-oriented, integrated,
nonvolatile, and time-variant collection of data
that supports managerial decision making.
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Objectives of Data Warehousing
A company invests in Data warehousing to:
Improve it decision making process
Improve customer service
Beat competition Execute corporate strategy initiative
Reduce cost of operations
Retain key customers
Identify new customers
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Data Warehousing Trends
Rapid increase in information democracy
Requirement for frequent and accurate decisions
Requirement for personalized information
Diversity of data
Need for better data security
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Data Warehousing Process
Raw data is stored
Information is cleansed
Data mining, query, and analytical tools are
employed to generate intelligence The system is regulated by an overall corporate
security policy
Business performance management applications are
used to track results
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Architecture of a Data Warehouse
A graphic showing the architecture of a Data
Warehouse will be provided.
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Evaluation Criteria for a Data
Warehouse
Performance
Availability
Reliability
Manageability Scalability
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Data Mart
Data Mart typically means a small Data Warehouse.
A Data Mart:
Is typically designed for one or few departments or
subject areas.
Works as an isolated island of information.
Can be integrated to a larger data repository.
Keeps higher levels of summarization compared to data
warehouses.
A Data Mart will be ineffective if it cannot be integratedwith the larger data management entity of the
organization.
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Data Mart Architecture
A graphic showing the architecture of a Data
Mart will be provided.
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Data Mining
Data mining refers to a class of tools that apply
artificial intelligence techniques to analyze data.
OLAP tools can be used for data mining
The user must formulate own hypothesesbefore using the Data Mining tools.
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THANK YOU
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QUESTIONS