08 Jun Project Deliverable 3: Database and Data Warehousing Design
Question
This assignment consists of two (2) sections: a design document and a revised project plan. You must submit both sections as separate files for the completion of this assignment. Label each file name according to the section of the assignment it is written for. Additionally, you may create and / or assume all necessary assumptions needed for the completion of this assignment.
One of the main functions of any business is to be able to use data to leverage a strategic competitive advantage. This feat hinges upon a company’s ability to transform data into quality information. The use of relational databases is a necessity for contemporary organizations; however, data warehousing has become a strategic priority due to the enormous amounts of data that must be analyzed along with the varying sources from which data comes. Since you are now the CIO of a data-collection company which gathers data by using Web analytics and operational systems, you must design a solution overview that incorporates data warehousing. The executive team needs to be clear about what data warehousing can provide the company.
Section 1: Design Document 1.Write a four to six (4-6) page design document in which you: ◦Support the need for data warehousing within your company and elaborate on the best practices that the company will adhere to.
◦Create a schema that supports the company’s business and processes. Explain and support the database schema with relevant arguments that support the rationale for the structure. Note: The minimum requirement for the schema should entail the tables, fields, relationships, views, and indexes.
◦Create an Entity-Relationship (E-R) Diagram relating the tables of your database schema through the use of graphical tools in Microsoft Visio or an open source alternative such as Dia. Note: The graphically depicted solution is not included in the required page length but must be included in the design document appendix. Explain your rationale behind the design of your E-R Diagram.
◦Create a Data Flow Diagram (DFD) relating the tables of your database schema through the use of graphical tools in Microsoft Visio or an open source alternative such as Dia. Note: The graphically depicted solution is not included in the required page length but must be included in the design document appendix.
◦Illustrate the flow of data including both inputs and outputs for the use of a data warehouse. The diagram must map data between source systems, data warehouses and specified data marts. The diagram should map data between source systems, data warehouses, and specified data marts. Note: The graphically depicted solution is not included in the required page length.
Your assignment must follow these formatting requirements: •Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions.
•Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length.
•Include charts or diagrams created in MS Visio or Dia as an appendix of the design document. All references to these diagrams must be included in the body of the design document.
Section 2: Revised Project Plan
Use Microsoft Project to: 2.Update the project plan from Project Deliverable 2: Business Requirements, with three to five (3-5) new project tasks each consisting of five to ten (5-10) sub-tasks.
The specific course learning outcomes associated with this assignment are: •Summarize how information systems represent a key source of competitive advantage for organizations.
•Develop information systems-related activities to maximize the business value within and outside the organization.
•Use technology and information resources to research issues in information systems.
•Write clearly and concisely about strategic issues and practices in the information systems domain using proper writing mechanics and technical style conventions.
In an uber globalized market of today, companies are faced with challenges in each and every
step of their business. Our analytics and research services are geared towards giving those
companies that extra edge over the competition. We process and analyze terabytes of data and
break down all the fuzz and chatter around it to give our customers meaningful insights about
their competition and the market they are engaged in.
By leveraging our data collection, processing, and research and analytics expertise and by
focusing on operational excellence and an industry standard delivery model, we help the leading
companies making insightful business decisions.
A comprehensive portfolio of our services include, Market, Business and financial research,
Domain based analytics and Data processing services. Our industry wide focus is into Banking,
Finance, FMCG, Insurance, Retail and Manufacturing industries.
Role and responsibilities
On studying the company’s profile, it seems that company has following resources which form
the personnel of its information systems:
1. Chief Information Officer – It provides assistance to senior management on IT related
tasks.
2. Develop and maintain IT infrastructure.
3. Develop efficient design to implement operations of the company.
4. Information System specialist – It designs and administers infrastructure development
and support.
5. Database administration – Storing data and mining it for future goals of the company.
6. Project Manager – He/She will be responsible for managing the project issues .
7. System Analyst – He/She analyzes the whole system and conduct technical research.
Also prepares documentation for future goals.
8. System Administrator – He or she will be responsible for resolving internal network
issues of the company.
Data collection
a) SP-based data – It is the data collected over network traffic. It provides data to tool
vendor. It does not collect secure data.
b) Panel based data – It collects internet user data.
c) Tool-monitoring data – It is installed at user end. Alexa is one of the examples in this
category.
d) Online monitoring data – Here user takes survey and provides data to company.
Description of Information System
Positioning – The Company has online database for processing data, messages, batch and manual
data input processing. It has two integrations: Vertical integration where processing of data is
done for office area (ERP) and Horizontal integration where archival of data of various archival
system takes place.
Databases include the open SQL database where process values, batch data and messages are
stored. It provides client-server architecture for displaying data. Along with displaying of data,
user can also evaluate data, analysis data and generate reports.
Hardware & Software
a) Hardware Server – P IV (minimum), 1 GB main memory, 100 GB hard drive
b) Hardware Client – PII (minimum) 500 MHz
c) Operating System Server – Windows 2000 Server or Windows 2003 Server
d) Operating System Client – Windows 2000 or Windows XP
e) Database Server – Sybase or Microsoft SQL Server 2000
f) Database : Sybase/Microsoft SQL Server
Additional Modules
a) Process Values (500 – 15.000 Values/min)
b) Messages
c) Redundant Coupling
d) Data Backup
e) Backup Server
f) Batch Archiving, Batch Reports (incl. electronic signature)
g) Manual Data/Value Correction
h) Excel Addin
i) Standard Reports
j) Document Archive
k) Electronic Signature
l) Interface “Web Server”
m) Parameter Control
n) Maintenance
o) Interface “Other Systems”
p) Development Toolkit
Type of Business
Web Analytics
The company’s expertise in Web Analytics includes the following functions :
Online traffic analysis
Content research and analysis
Conversion rate analysis
Data Mining and Social Media Analytics
CRM Analytics
Management of the Campaign from its Execution to completion alongwith ROI Analysis
Acquisition and Cross-sell/Up-sell Analytics
Customer Retention
Finance and Business research
The company’s expertise in Finance and Business research supports its client’s strategic decision
making and day to day operations by assisting with intelligence, research and reports.
Detailed company and Industry based research
Tear Sheets and Company profiles.
Analysis of value chain, Stocks, Shareholdings and SWOT
Benchmarking of Industries and detailed sector reports
Business Intelligence
Market entry and positioning strategy
Trend Analysis and future predictions
Economic and Demographic studies
Corporate Finance and M&A Support
Support for preparing of Pitch Book
Benchmarks and Comparisons, LBO Models
Valuations and Financial Analysis
Equity Research
Financial Models and Predictions
Research Reports
Summaries of Earnings
Market research and end-to-end solution provider to corporate and research houses.
Survey Design
Researching proposal
Compiling proposal
Designing questionnaires
Survey Management
Survey Programming (Web)
Conducting Web Surveys
Online Panel Management
Data Management and Processing
Data Processing
Scripting and Coding
Data Transcription
Validating Data
Content Analysis (for Qualitative DIs and GDs)
Presentation/Report Writing
Validation of Report
Charting the Tabulated data
Presentation reports on major presentation software
Market Research Analytics
Brand Modeling
Consumer Modeling
Market Segmentation
Targeting
Marketing Mix
Outsourcing Activities
Offshore and outsourcing activities includes the following
Data Processing and Data Conversion -Data Collection and processing in MS Excel, CSV and
Other databases format to SPSS, Quantum, SAS etc. for further processing.
Data Processing: Banner Tables
Data processing and converting in tabulated form
Data Processing: Data Analysis Services
Advanced statistical services to promote fact based decision making for companies.
Interfaces
The company’s IS has interfaces for evaluating data i.e. reports defined by users with MS Office
(Excel and Microsoft word), standard components of software like Crystal reports and Business
Objects. Since the company is less two years old, it is using Google Analytics as its web
analytics tool.
Infrastructure and Security
The company has implemented security policies Enterprise Security Policy, Issue-Specific
Security Policy and Systems- Specific Security policy. It follows NIST security model and
follows IETF security architecture. It has chosen firewalls based on generation and structure.
Along with this, it implements a type of Intrusion Detection and Prevention System. Privileges
are defined for accessing Virtual Private Network.
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