Documenting Business Intelligence Chiradeep 101221051011 Phpapp02

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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Business Intelligence encompasses a collectionof processes, tools, and technologies that enableyou to:

Organize

Integrate

Summarize

Analyze and

Extrapolate

operational data


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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

Documents

Documenting Business Intelligence Chiradeep 101221051011 Phpapp02