• Business Intelligence Development Plan - Use the APA template

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BusinessIntelligenceDevelopmentPlan.docx

· Business Intelligence Development Plan - Use the APA template

. Title page

Course number and name project

1. name

1. Student name

1. Date

. Table of contents

. Use the auto-generated TOC.

. Make it a maximum of 3 levels deep.

. Be sure to update the fields of the TOC so that it is up-to-date before submitting your project

. Section headings (create each heading on a new page)

·

.

. Business Intelligence Justification

. Business Performance Plan

. Business Performance Methodologies

. Data Classification and Visualization Assessment

. Data-Mining Methods and Processes

Provide, a rough draft of the company incorporate the conceptual foundations of decision making does

. Simon’s four phases of decision making: intelligence,

. design, choice, and implementation apply to your project?

. How the process works in relates to the essential definition of DSS

. Explain the important DSS classifications

How DSS support for decision making can be provided in practice review

. DSS components and how they integrate

You will work on this project incrementally as it is posted. Each week; you will do part of this project and submit at the due date.Your project must be supported by the scholarly sources and that you cite each source both in-text and in the References section using APA. The first section of new content will be as follows:

Business Intelligence Justification (Week 1 IP): 6- 8 pages describe )excluding from the cover page and the reference sheet)

the background and the general business environment for the project define

. at least 10 problems related to decision making that currently exist in the organization.

. Describe the typical organizational response to the above 10 problems using the business pressure-responses-support model.

. Describe the quantitative and qualitative impact of the organizational response to the 10 problems on managerial decision making.

. Describe how business intelligence can be used to support problem-solving and decision support in the case study organization.