SlideShare a Scribd company logo
1 of 4
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
(Prefer mailing. Call in emergency )
ASSIGNMENT
DRIVE SPRING 2014
PROGRAM MBADS – (SEM 3/SEM 5) / MBAN2 / MBAFLEX – (SEM 3) /
PGDISMN – (SEM 1)
SUBJECT CODE & NAME MI0036- BUSINESS INTELLIGENCE & TOOLS
SEMESTER 3
BK ID B1219
CREDITS 4
MARKS 60
Note: Answer all questions. Kindly note that answers for 10 marks questions should be
approximately of 400 words. Each question is followed by evaluation scheme.
Q.1. Similarity measures determine the similarity between the two objects. The similarity between
the two objects ti and tj, sim(ti, tj) in the database D is a mapping from D*D to the range [0, 1].
a. List the characteristics of a good similarity measure.
b. what are the four methods to determine the similarity characteristic between the two objects?
Ans : Similarity Measures
Similarity measures determine the similarity between the two objects. Similarity measure is an
important tool of business intelligence system which is useful in determining the similarities
between the two factors in abusiness application.
a. List the characteristics of a good similarity measure:
b. what are the four methods to determine the similarity characteristic between the two objects?
Ans :
1. Stimulus Generalization :
A few years ago a chapter on similarity in a book about animal behavior would have been titled
“Stimulus Generalization,” and similarity would be defined by relative responding across stimuli in
generalization and discrimination tasks.
Q.2. Transactions refers to business or commercial transactions. Online transaction processing
refers to the categories of systems that assists and manage transaction- oriented applications,
typically for data entry and retrieval transaction processing. List the differences between OLAP
and OLTP.
Ans : Difference between OLAP and OLTP:
1. Definition:
OLTP (On-line Transaction Processing) is characterized by a large number of short on-line
transactions (INSERT, UPDATE, DELETE). The main emphasis for OLTP systems is put on very fast
query processing, maintaining data integrity in multi-access environments and an effectiveness
measured by number of transactions per second.
Q.3. Data extraction is the act or the process of extracting data out of data sources for added data
processing or data storage or data migration. This data can be extracted from the web. Explain the
different techniques for data extraction. (Listing the various techniques, Explaining the four
methods) 2,8
Ans : Listing the various techniques:
• The Logical Extraction Methods
• Physical Extraction Methods
• Change Data Capture
Q.4. Business Intelligence strategy summarizes the finest combination of procedures and
technologies to meet the business intelligence strategies of an organization.
a. List the main aspects of BI strategy.
b. What are the steps to be followed to implement BI framework?
Ans : a) BI Strategy and its main aspects :
Four aspects of BI framework:-
1. Determine information needs by business user, business analyst, and BI analyst / designer. The
purpose of BI is to provide cross-organizational business analysis capabilities to all business users in
the organization. Demand for information
b. What are the steps to be followed to implement BI framework?
BI Methodology
Project Initiation: Agrees and documents the scope, application and data landscape, executive
sponsorship, project team roles & responsibilities, high-level project timeline in a project initiation
document (PID).
Analysis: The most challenging part of any BI project, specifying the insightful questions that
business executives need answers to, requires a structured and collaborative approach to elicit,
including use of stakeholder workshops to storyboard key metrics and use of customisable project
templates by business function and process.
Q.5. Write short note on:
a. Content Management System
b. End User Segmentation
c. Basic Reporting and querying
d. OLAP
Ans : a) Content Management System (CMS):
A content management system (CMS) is a computer program that allows publishing, editing and
modifying content as well as maintenance from a central interface. Such systems of content
management provide procedures to manage workflow in a collaborative environment. These
procedures can be manual steps or an automated
b. End User Segmentation :
There are user types delineated by application requirements and by
skill. If we look at the users in light of their application requirements, we normally see
three distinct types:
• Traditional query and reporting
• OLAP
c. Basic Reporting and querying:
A querying and reporting tool helps to run regular reports, create organized listings, and perform
cross-tabular reporting and querying.
The use of SQL as the basis for most querying and reporting tools was both good and bad for data
warehousing. On the positive side, many more product-to-product matchups are possible in data
warehousing environments, enabling tools to be provided both by RDBMS vendors and other third-
party vendors.
d. OLAP:
OLAP (On-line Analytical Processing) is characterized by relatively low volume of transactions.
Queries are often very complex and involve aggregations. For OLAP systems a response time is an
effectiveness measure. OLAP applications are widely used by Data Mining techniques. In OLAP
database there is aggregated, historical data, stored in multi-dimensional schemas (usually star
schema). OLAP can be used for data mining or
Q.6. RSG is a footwear company which has its chain all over the world. This company has to keep
track of all the products sold in the company and huge data is involved in it.
a. How should it plan to implement the Business intelligence solutions?
b. How to make the best use of BI?
Ans : a) Planning to Implement a Business Intelligence Solution:
Implementing a business intelligence system requires careful planning to assure that it meets
expectations. These are the basic steps:
1. Identify End-User Requirements
It is important to anticipate how end users will
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
(Prefer mailing. Call in emergency )

More Related Content

Similar to Mi0036 business intelligence & tools...

Bba205 management information system
Bba205  management information systemBba205  management information system
Bba205 management information systemsmumbahelp
 
Bba205 – management information system
Bba205 – management information systemBba205 – management information system
Bba205 – management information systemsmumbahelp
 
Information Technology and Supply Chain Management.pptx
Information Technology and Supply Chain Management.pptxInformation Technology and Supply Chain Management.pptx
Information Technology and Supply Chain Management.pptxSiddharth Kumar Rai
 
Credit card fraud detection using python machine learning
Credit card fraud detection using python machine learningCredit card fraud detection using python machine learning
Credit card fraud detection using python machine learningSandeep Garg
 
Ali Motallebi (Executive Summary)
Ali Motallebi (Executive Summary)Ali Motallebi (Executive Summary)
Ali Motallebi (Executive Summary)Ali Motallebi
 
Online student management system
Online student management systemOnline student management system
Online student management systemMumbai Academisc
 
Mca1040 system analysis and design
Mca1040  system analysis and designMca1040  system analysis and design
Mca1040 system analysis and designsmumbahelp
 
Final Project Business ReportNAMESo.docx
Final Project Business ReportNAMESo.docxFinal Project Business ReportNAMESo.docx
Final Project Business ReportNAMESo.docxmydrynan
 
SEM 3 MIS SUMMER 2014 ASSIGNMENTS
SEM 3 MIS SUMMER 2014 ASSIGNMENTSSEM 3 MIS SUMMER 2014 ASSIGNMENTS
SEM 3 MIS SUMMER 2014 ASSIGNMENTSsolved_assignments
 
Running head CS688 – Data Analytics with R1CS688 – Data Analyt.docx
Running head CS688 – Data Analytics with R1CS688 – Data Analyt.docxRunning head CS688 – Data Analytics with R1CS688 – Data Analyt.docx
Running head CS688 – Data Analytics with R1CS688 – Data Analyt.docxtodd271
 
Future directives in erp, erp and internet, critical success and failure factors
Future directives in erp, erp and internet, critical success and failure factorsFuture directives in erp, erp and internet, critical success and failure factors
Future directives in erp, erp and internet, critical success and failure factorsVarun Luthra
 
Inventory System
Inventory System Inventory System
Inventory System Nasir152222
 
Om0011 enterprise resource planning
Om0011  enterprise resource planningOm0011  enterprise resource planning
Om0011 enterprise resource planningsmumbahelp
 
What is OLAP -Data Warehouse Concepts - IT Online Training @ Newyorksys
What is OLAP -Data Warehouse Concepts - IT Online Training @ NewyorksysWhat is OLAP -Data Warehouse Concepts - IT Online Training @ Newyorksys
What is OLAP -Data Warehouse Concepts - IT Online Training @ NewyorksysNEWYORKSYS-IT SOLUTIONS
 
Mi0038 enterprise resource planning
Mi0038  enterprise resource planningMi0038  enterprise resource planning
Mi0038 enterprise resource planningsmumbahelp
 
Mi0038 enterprise resource planning
Mi0038  enterprise resource planningMi0038  enterprise resource planning
Mi0038 enterprise resource planningsmumbahelp
 
Key Principles Of Data Mining
Key Principles Of Data MiningKey Principles Of Data Mining
Key Principles Of Data Miningtobiemuir
 

Similar to Mi0036 business intelligence & tools... (20)

Bba205 management information system
Bba205  management information systemBba205  management information system
Bba205 management information system
 
Bba205 – management information system
Bba205 – management information systemBba205 – management information system
Bba205 – management information system
 
Information Technology and Supply Chain Management.pptx
Information Technology and Supply Chain Management.pptxInformation Technology and Supply Chain Management.pptx
Information Technology and Supply Chain Management.pptx
 
Credit card fraud detection using python machine learning
Credit card fraud detection using python machine learningCredit card fraud detection using python machine learning
Credit card fraud detection using python machine learning
 
Ali Motallebi (Executive Summary)
Ali Motallebi (Executive Summary)Ali Motallebi (Executive Summary)
Ali Motallebi (Executive Summary)
 
Mi0036
Mi0036Mi0036
Mi0036
 
Online student management system
Online student management systemOnline student management system
Online student management system
 
Management information system
Management information systemManagement information system
Management information system
 
Mca1040 system analysis and design
Mca1040  system analysis and designMca1040  system analysis and design
Mca1040 system analysis and design
 
Final Project Business ReportNAMESo.docx
Final Project Business ReportNAMESo.docxFinal Project Business ReportNAMESo.docx
Final Project Business ReportNAMESo.docx
 
RFP.docx
RFP.docxRFP.docx
RFP.docx
 
SEM 3 MIS SUMMER 2014 ASSIGNMENTS
SEM 3 MIS SUMMER 2014 ASSIGNMENTSSEM 3 MIS SUMMER 2014 ASSIGNMENTS
SEM 3 MIS SUMMER 2014 ASSIGNMENTS
 
Running head CS688 – Data Analytics with R1CS688 – Data Analyt.docx
Running head CS688 – Data Analytics with R1CS688 – Data Analyt.docxRunning head CS688 – Data Analytics with R1CS688 – Data Analyt.docx
Running head CS688 – Data Analytics with R1CS688 – Data Analyt.docx
 
Future directives in erp, erp and internet, critical success and failure factors
Future directives in erp, erp and internet, critical success and failure factorsFuture directives in erp, erp and internet, critical success and failure factors
Future directives in erp, erp and internet, critical success and failure factors
 
Inventory System
Inventory System Inventory System
Inventory System
 
Om0011 enterprise resource planning
Om0011  enterprise resource planningOm0011  enterprise resource planning
Om0011 enterprise resource planning
 
What is OLAP -Data Warehouse Concepts - IT Online Training @ Newyorksys
What is OLAP -Data Warehouse Concepts - IT Online Training @ NewyorksysWhat is OLAP -Data Warehouse Concepts - IT Online Training @ Newyorksys
What is OLAP -Data Warehouse Concepts - IT Online Training @ Newyorksys
 
Mi0038 enterprise resource planning
Mi0038  enterprise resource planningMi0038  enterprise resource planning
Mi0038 enterprise resource planning
 
Mi0038 enterprise resource planning
Mi0038  enterprise resource planningMi0038  enterprise resource planning
Mi0038 enterprise resource planning
 
Key Principles Of Data Mining
Key Principles Of Data MiningKey Principles Of Data Mining
Key Principles Of Data Mining
 

Mi0036 business intelligence & tools...

  • 1. Dear students get fully solved assignments Send your semester & Specialization name to our mail id : “ help.mbaassignments@gmail.com ” or Call us at : 08263069601 (Prefer mailing. Call in emergency ) ASSIGNMENT DRIVE SPRING 2014 PROGRAM MBADS – (SEM 3/SEM 5) / MBAN2 / MBAFLEX – (SEM 3) / PGDISMN – (SEM 1) SUBJECT CODE & NAME MI0036- BUSINESS INTELLIGENCE & TOOLS SEMESTER 3 BK ID B1219 CREDITS 4 MARKS 60 Note: Answer all questions. Kindly note that answers for 10 marks questions should be approximately of 400 words. Each question is followed by evaluation scheme. Q.1. Similarity measures determine the similarity between the two objects. The similarity between the two objects ti and tj, sim(ti, tj) in the database D is a mapping from D*D to the range [0, 1]. a. List the characteristics of a good similarity measure. b. what are the four methods to determine the similarity characteristic between the two objects? Ans : Similarity Measures Similarity measures determine the similarity between the two objects. Similarity measure is an important tool of business intelligence system which is useful in determining the similarities between the two factors in abusiness application. a. List the characteristics of a good similarity measure: b. what are the four methods to determine the similarity characteristic between the two objects? Ans : 1. Stimulus Generalization :
  • 2. A few years ago a chapter on similarity in a book about animal behavior would have been titled “Stimulus Generalization,” and similarity would be defined by relative responding across stimuli in generalization and discrimination tasks. Q.2. Transactions refers to business or commercial transactions. Online transaction processing refers to the categories of systems that assists and manage transaction- oriented applications, typically for data entry and retrieval transaction processing. List the differences between OLAP and OLTP. Ans : Difference between OLAP and OLTP: 1. Definition: OLTP (On-line Transaction Processing) is characterized by a large number of short on-line transactions (INSERT, UPDATE, DELETE). The main emphasis for OLTP systems is put on very fast query processing, maintaining data integrity in multi-access environments and an effectiveness measured by number of transactions per second. Q.3. Data extraction is the act or the process of extracting data out of data sources for added data processing or data storage or data migration. This data can be extracted from the web. Explain the different techniques for data extraction. (Listing the various techniques, Explaining the four methods) 2,8 Ans : Listing the various techniques: • The Logical Extraction Methods • Physical Extraction Methods • Change Data Capture Q.4. Business Intelligence strategy summarizes the finest combination of procedures and technologies to meet the business intelligence strategies of an organization. a. List the main aspects of BI strategy. b. What are the steps to be followed to implement BI framework? Ans : a) BI Strategy and its main aspects : Four aspects of BI framework:- 1. Determine information needs by business user, business analyst, and BI analyst / designer. The purpose of BI is to provide cross-organizational business analysis capabilities to all business users in the organization. Demand for information b. What are the steps to be followed to implement BI framework? BI Methodology
  • 3. Project Initiation: Agrees and documents the scope, application and data landscape, executive sponsorship, project team roles & responsibilities, high-level project timeline in a project initiation document (PID). Analysis: The most challenging part of any BI project, specifying the insightful questions that business executives need answers to, requires a structured and collaborative approach to elicit, including use of stakeholder workshops to storyboard key metrics and use of customisable project templates by business function and process. Q.5. Write short note on: a. Content Management System b. End User Segmentation c. Basic Reporting and querying d. OLAP Ans : a) Content Management System (CMS): A content management system (CMS) is a computer program that allows publishing, editing and modifying content as well as maintenance from a central interface. Such systems of content management provide procedures to manage workflow in a collaborative environment. These procedures can be manual steps or an automated b. End User Segmentation : There are user types delineated by application requirements and by skill. If we look at the users in light of their application requirements, we normally see three distinct types: • Traditional query and reporting • OLAP c. Basic Reporting and querying: A querying and reporting tool helps to run regular reports, create organized listings, and perform cross-tabular reporting and querying. The use of SQL as the basis for most querying and reporting tools was both good and bad for data warehousing. On the positive side, many more product-to-product matchups are possible in data warehousing environments, enabling tools to be provided both by RDBMS vendors and other third- party vendors. d. OLAP:
  • 4. OLAP (On-line Analytical Processing) is characterized by relatively low volume of transactions. Queries are often very complex and involve aggregations. For OLAP systems a response time is an effectiveness measure. OLAP applications are widely used by Data Mining techniques. In OLAP database there is aggregated, historical data, stored in multi-dimensional schemas (usually star schema). OLAP can be used for data mining or Q.6. RSG is a footwear company which has its chain all over the world. This company has to keep track of all the products sold in the company and huge data is involved in it. a. How should it plan to implement the Business intelligence solutions? b. How to make the best use of BI? Ans : a) Planning to Implement a Business Intelligence Solution: Implementing a business intelligence system requires careful planning to assure that it meets expectations. These are the basic steps: 1. Identify End-User Requirements It is important to anticipate how end users will Dear students get fully solved assignments Send your semester & Specialization name to our mail id : “ help.mbaassignments@gmail.com ” or Call us at : 08263069601 (Prefer mailing. Call in emergency )