Business Intelligence Project
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The document discusses setting up a data warehouse and reports for an organization called SetFocus that provides training programs. It describes extracting data from source databases to populate dimensions and facts in the data warehouse for analysis. The goal is to build reports and dashboards to measure trainer performance and track key metrics over time to improve training programs.
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Grading for this assignment will be based on answer quality, logic / organization of the paper, and
You are part of a behavior consulting team providing consultation to local service agencies in your area.
Choose one of the following scenarios and write a comprehensive plan for program design and evaluation You are being asked to apply what you have learned about how Evidence-Based Program Planning applies to organization-wide behavior interventions.
· Just Like Home nursing home wants to assess the possible need for a new behavior management program to prevent Alzheimer’s patients from wandering unsupervised and endangering themselves.
· VHab vocational training program for developmentally disabled adults wants to assess the possible need for a new program to train clients as potential volunteers for various community services.
· Stars ABA program, providing clinic-based ABA interventions for children with autism, wants to assess ...
You are working as a behavior consulting intern. Your company’s on.docx
You are working as a behavior consulting intern. Your company’s ongoing client is Pathway High School, an alternative high school for students who have been unsuccessful in their original school due to challenging behavior. The school hired your company 6 months ago to implement a School-Wide Positive Behavior Support (SWPBS) program. Data has been collected on:
Figure 1: The occurrence of aggressive behavior incidents reported before and after the program began
Figure 2: A sample of classroom teacher’s scores from an observational checklist measuring correct implementation of behavior correction procedures in the classroom (before and after the program was implemented)
Figure 3: Student satisfaction rating results for their daily school experience before the program, 3 months after the program began, and 6 months after the program began
Your role is to view this data, determine results and analyze results (minimum of 2 pages):
Determine the purpose of each data requirement above by discussing how it can be used in the program planning process. Identify each type of data collected as either quantitative or qualitative.
Using the data in Figure 1, discuss the level of challenging behavior incidents reported before and after the program began (include discussion of the need for the program and the general impact the program had on challenging behavior).
Using the data in Figure 2, calculate the mean (average) score on the observational checklist before the program was implemented and after. Use this data to discuss the impact of the program on behavior correction procedures in the classroom.
Using the data in Figure 3, calculate the percentage of students who rated their school experience at the highest level (5) and the lowest level (1). Discuss these results as they relate to student satisfaction after the SWPBS program was implemented.
Your paper should be a minimum of 2 pages in length, include proper APA formatting (including properly formatted headings for each section of your plan), and include at least 2 academic references (including your course readings)
PS 430 Unit 7
Program Design: Analyzing Program Models
Unit 7 Project
View this data for Pathway High School, determine results and analyze results:
Minimum of 2 pages
APA format including in text citations and references
Minimum of 2 academic sources which can include your textbook
Determine the purpose of each data requirement above by discussing how it can be used in the program planning process. Identify each type of data collected as either quantitative or qualitative
Unit 7 Project
Figure 1: The occurrence of aggressive behavior incidents reported before and after the program began
Using the data in Figure 1, discuss the level of challenging behavior incidents reported before and after the program began (include discussion of the need for the program and the general impact the program had on challenging behavior).
Figure 1
Figure 1
# of challenging behavior inciden.
Estimation maturity model using function points
While there are many models for measuring maturity of software organizations, little attention has been paid to factoring estimation maturity into these models. This true even for CMMI, which is an otherwise very a rigorous model.
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Managing projects by data
After the course, student will:
Understand Fsoft metric system.
Know about Fsoft PCBs and norms.
Be able to use data for managing projects.
Effort (Project, work product, process, type of activity): Weekly
Schedule (Start-date, expected end-date, actual end-date, delivery): At milestones
Defect (Project, work product, stage detected, QC activities, stage injected, process origin, severity, classification type, priority): Weekly
Size (Total, work product, activity): At milestones
Requirement (Total, size, status): Weekly
Customer complaints, customer satisfaction survey point, NC
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Data Collection Points And Gqm
This document discusses data collection for project management. It lists suggested mandatory data to collect, such as project name, manager contact information, and effort estimates. Optional data is also described, including defects data. Data needed for model calibration is outlined. Lastly, the document introduces the Goal-Question-Metric approach for defining what data to collect based on goals, questions, and metrics.
Classical Approaches in Test Estimation
This document provides information on various classical test estimation approaches, including factors that influence test estimation, test execution estimation steps, the Wideband Delphi and Three Point estimation techniques, and how to convert estimates to confidence levels. It also briefly discusses work breakdown structures, top-down vs bottom-up testing, and Planning Poker estimation.
Manager Performance Management Training
This document outlines the goals and process of a performance management program. It discusses defining job duties and performance standards, providing ongoing feedback, and conducting mid-year and final performance reviews. The performance management cycle involves planning, feedback, and assessment phases. In the planning phase, duties and standards are established in a Job Responsibilities Worksheet. Feedback involves observing and documenting performance, as well as providing ongoing coaching. Mid-year discussions review progress. The assessment phase includes completing a Self-Rating and Discussion Form for the annual performance review.
IRJET- Web-Based System for Creation and Management of Multiple Choices based...
The document describes the design and implementation of a web-based quiz maker and management system (QMMS) for educational organizations. The system allows administrators to manage user and organizational data, teachers to create multiple choice quizzes and questionnaires by adding questions to banks and assigning them to students, and students to take assigned quizzes and view their results. The system was developed using C# ASP.net and SQL Server database. It follows a waterfall model of requirements analysis, design, implementation, testing and maintenance. The system aims to facilitate continuous evaluation of students and feedback through automated quizzes and questionnaires.
8 project planning
The document discusses key aspects of planning a software project, including process planning, effort estimation, scheduling, and quality planning. It emphasizes that effective project management is critical for meeting commitments on time and budget. Project planning involves defining processes, estimating effort, creating a schedule, planning for quality, and identifying and mitigating risks. Estimation models and function points are discussed as methods for estimating project size and effort.
Similar to Business Intelligence Project (20)
Microsoft_Project_101_How_to_Build_a_Project_Plan.
Microsoft_Project_101_How_to_Build_a_Project_Plan.
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Assignment 2 Designing a Training ProgramDue Week 8 and worth 3.docx
Assignment 2 Designing a Training ProgramDue Week 8 and worth 3.docx
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You are working as a behavior consulting intern. Your company’s on.docx
You are working as a behavior consulting intern. Your company’s on.docx
Â
IRJET- Web-Based System for Creation and Management of Multiple Choices based...
IRJET- Web-Based System for Creation and Management of Multiple Choices based...
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- 1. Business Intelligence Foad Gharahgozlou [email_address] 916-474-4737
- 9. Stored Proc: Populate DimDate
- 10. Data Warehouse – Data Diagram
- 11. Set Focus Evaluation Datawarehouse ETL Utilizing SSIS
- 12. Master Package
- 14. Fact Evaluation The fact evaluation table will be used as a counter for completed vs. uncompleted evaluations. A validation was done on SessionID which creates an error data file.
- 15. Dim Question
- 16. Fact Score
- 18. DSV Diagram
- 20. Dim Date
- 21. Dimension Usage
- 22. Calculations
- 33. Trainer Report (Sharepoint View) , sample data for Instructor AA
- 36. Action Tab of Series Properties allows us to link to other SSRS reports. In this case we allow user to see the TrainerDetail Report by selecting any of the Markers on the chart.
- 37. Trainer Date Range Report (Sharepoint View) , sample data for Instructor AA
- 39. Query Designer for Dataset dsTrainerRange Here we are able to setup the parameters as a range .
- 40. Trainer Detail Report This report shows trainer’s evaluation scores for last class, day or night. This Report Defaults to most recent date where there was an score.
- 41. =Fields!Session.Value & " " & Fields!Course.Value & " " & Fields!Date.Value ="Instructor: " & Parameters!Instructor.Label & " “ & Sum(Fields!CompletedFlagInt.Value, "dsEvals") & " Evals/" & Sum(Fields!FactEvaluationCount.Value, "dsEvals") & " Students " =Sum(Fields!Score.Value)/Sum(Fields!Valid_Scores.Value)
- 42. SELECT NON EMPTY { [Measures].[Average Score], [Measures].[Score] , [Measures].[Valid Scores] } ON COLUMNS, NON EMPTY { ( [Dim Session Course].[Course].[Course].ALLMEMBERS * [Dim Session Course].[Session].[Session].ALLMEMBERS * Tail( Filter([Course End Date].[Date].[Date].ALLMEMBERS, [Measures].[Average Score] >0 ), 1) * [Dim Session Course].[Track].[Track] * [Dim Question].[Question].[Question].ALLMEMBERS * [Dim Question].[Sub Category].children ) } DIMENSION PROPERTIES MEMBER_CAPTION, MEMBER_UNIQUE_NAME ON ROWS FROM [SF Course Eval DW] Where (STRTOMEMBER( @Instructor ) ,STRTOMEMBER( @TimeOfDay )) CELL PROPERTIES VALUE, BACK_COLOR, FORE_COLOR, FORMATTED_VALUE, FORMAT_STRING, FONT_NAME, FONT_SIZE, FONT_FLAGS SELECT NON EMPTY { [Measures].[Fact Evaluation Count], [Measures].[Completed Flag Int] } ON COLUMNS, NON EMPTY { ( [Dim Session Course].[Course].[Course].ALLMEMBERS * [Dim Session Course].[Session].[Session].ALLMEMBERS * Tail( Filter([Course End Date].[Date].[Date].ALLMEMBERS, [Measures].[Average Score] >0 ), 1) * [Dim Session Course].[Track].[Track] )} DIMENSION PROPERTIES MEMBER_CAPTION, MEMBER_UNIQUE_NAME ON ROWS FROM [SF Course Eval DW] Where (STRTOMEMBER( @Instructor ) ,STRTOMEMBER( @TimeOfDay )) CELL PROPERTIES VALUE, BACK_COLOR, FORE_COLOR, FORMATTED_VALUE, FORMAT_STRING, FONT_NAME, FONT_SIZE, FONT_FLAGS
- 43. SELECT DimQuestion.Question, FactScore.Comments FROM FactScore INNER JOIN DimSessionCourse ON FactScore.SessionCourseID = DimSessionCourse.SessionCourseID INNER JOIN DimQuestion ON FactScore.QuestionID = DimQuestion.QuestionID INNER JOIN DimDate ON DimSessionCourse.CourseEndDateID = DimDate.DateID WHERE (FactScore.Comments IS NOT NULL) AND (DimSessionCourse.InstructorName = @Instructor) AND (DimSessionCourse.TimeOfDay = @DayEvening) AND (DimDate.Date = (SELECT MAX(DD.Date) AS Expr1 FROM DimDate AS DD INNER JOIN DimSessionCourse AS DSC ON DD.DateID = DSC.CourseEndDateID WHERE (DSC.InstructorName = DimSessionCourse.InstructorName) Created a datasource to access DW relational database to extract Comments ="[Dim Session Course].[Day-Evening].[Day]"
- 44. Additional Attribute [Day-Evening] added to DimSessionCourse to declare Time of day filter .
- 45. The End
Editor's Notes
- Mention appearance of fragmented data. Consider modifying report for more meaningful graph in phase 2
- Note the sparseness of the data for this particular instructor. We found this to be the case with nearly all the instructors. This is due to the data. We suggest re-evaluating the report for Phase 2; perhaps using a bar chart and only comparing on dates where the instructor has data.