This document summarizes a dashboard created by the team Binary Brains for analyzing a task list dataset. The team divided the dashboard into three sections: filters, graphs, and tables. The filters section allows viewing the data according to different criteria. The graphs section displays six graphs corresponding to the filters. The tables section shows the same data in tabular form and as a histogram. Key findings from the data include identifying urgent tasks and analyzing employees by profile and task status. The dashboard provides insights into task assignment trends by team and employees.
The document discusses the seven quality control tools introduced by Dr. Kaoru Ishikawa for problem solving and process improvement. It describes each of the seven tools - check sheets, flowcharts, histograms, Pareto charts, cause-and-effect diagrams, scatter diagrams, and control charts. For each tool, it provides details on what the tool is, how it is used, and examples of its application. The seven tools are presented as effective methods for collecting, analyzing, and improving quality data in production processes.
The document discusses the 7 basic quality tools according to Ishikawa: check sheets, flow charts, cause and effect diagrams, scatter diagrams, control charts, graphs and histograms, and Pareto diagrams. It provides examples and explanations of each tool to identify problems, measure processes, find causes of defects, and prioritize improvements. The tools help understand and analyze data to monitor quality and make effective changes.
The document discusses various quality management tools and techniques, including the seven traditional quality tools, Six Sigma methodology, and new management tools. It provides details on each tool, including definitions, examples, and uses. The seven traditional quality tools described are flow chart, check sheet, cause and effect diagram, Pareto chart, control chart, histogram, and scatter diagram. Six Sigma follows the DMAIC methodology of define, measure, analyze, improve, and control. The seven new management tools discussed are affinity diagram, interrelations diagram, tree diagram, matrix diagram, arrow diagram, and process decision program chart.
https://eauditor.app/2024/05/10/a3-report-checklist/
An A3 report is a structured problem-solving tool used in Lean methodology, particularly popularized by Toyota. The name “A3” comes from the size of the paper commonly used for this report, which is A3-sized (11.7 × 16.5 inches or 297 × 420 mm). A3 Report Checklist serves as a concise way to document the process of identifying, analyzing, and proposing solutions to a problem or improvement opportunity.
A3 Report ChecklistHere’s a breakdown of the typical sections found in an A3 report:
Background: This section provides context for the problem or opportunity being addressed. It outlines the current situation, the reasons why it’s important to address, and any relevant background information.
Current Condition: Here, the current state of affairs related to the problem or opportunity is described in detail. This might include data, observations, or other evidence that illustrates the current condition.
Goal: The desired outcome or target condition is stated clearly. This section articulates what success looks like and sets the direction for the improvement effort.
Analysis: This is where the root cause analysis takes place. The team working on the A3 report identifies the underlying causes contributing to the problem or situation. Tools such as the 5 Whys or fishbone diagrams may be used to aid in this analysis.
Proposed Countermeasures: Based on the analysis, potential solutions or countermeasures are proposed. These should directly address the root causes identified earlier. The emphasis is on practical, actionable steps that can be taken to improve the situation.
Implementation Plan: This section outlines how the proposed countermeasures will be put into action. It includes details such as who will do what, by when, and any resources or support needed for implementation.
Follow-Up: Finally, the A3 report includes a plan for monitoring progress and evaluating the effectiveness of the countermeasures. This might involve setting specific metrics or targets to track, as well as establishing checkpoints for review and adjustment if necessary.
The A3 report is often used as a communication tool, allowing teams to share their problem-solving process and proposed solutions in a clear and concise format. It encourages a structured approach to problem-solving and facilitates collaboration among team members. Additionally, because it’s typically presented on a single sheet of paper in form of A3 report checklist, it helps to focus attention on the most critical aspects of the problem and solution.
This document summarizes a dashboard created by the team Binary Brains for analyzing a task list dataset. The team divided the dashboard into three sections: filters, graphs, and tables. The filters section allows viewing the data according to different criteria. The graphs section displays six graphs corresponding to the filters. The tables section shows the same data in tabular form and as a histogram. Key findings from the data include identifying urgent tasks and analyzing employees by profile and task status. The dashboard provides insights into task assignment trends by team and employees.
The document discusses the seven quality control tools introduced by Dr. Kaoru Ishikawa for problem solving and process improvement. It describes each of the seven tools - check sheets, flowcharts, histograms, Pareto charts, cause-and-effect diagrams, scatter diagrams, and control charts. For each tool, it provides details on what the tool is, how it is used, and examples of its application. The seven tools are presented as effective methods for collecting, analyzing, and improving quality data in production processes.
The document discusses the 7 basic quality tools according to Ishikawa: check sheets, flow charts, cause and effect diagrams, scatter diagrams, control charts, graphs and histograms, and Pareto diagrams. It provides examples and explanations of each tool to identify problems, measure processes, find causes of defects, and prioritize improvements. The tools help understand and analyze data to monitor quality and make effective changes.
The document discusses various quality management tools and techniques, including the seven traditional quality tools, Six Sigma methodology, and new management tools. It provides details on each tool, including definitions, examples, and uses. The seven traditional quality tools described are flow chart, check sheet, cause and effect diagram, Pareto chart, control chart, histogram, and scatter diagram. Six Sigma follows the DMAIC methodology of define, measure, analyze, improve, and control. The seven new management tools discussed are affinity diagram, interrelations diagram, tree diagram, matrix diagram, arrow diagram, and process decision program chart.
https://eauditor.app/2024/05/10/a3-report-checklist/
An A3 report is a structured problem-solving tool used in Lean methodology, particularly popularized by Toyota. The name “A3” comes from the size of the paper commonly used for this report, which is A3-sized (11.7 × 16.5 inches or 297 × 420 mm). A3 Report Checklist serves as a concise way to document the process of identifying, analyzing, and proposing solutions to a problem or improvement opportunity.
A3 Report ChecklistHere’s a breakdown of the typical sections found in an A3 report:
Background: This section provides context for the problem or opportunity being addressed. It outlines the current situation, the reasons why it’s important to address, and any relevant background information.
Current Condition: Here, the current state of affairs related to the problem or opportunity is described in detail. This might include data, observations, or other evidence that illustrates the current condition.
Goal: The desired outcome or target condition is stated clearly. This section articulates what success looks like and sets the direction for the improvement effort.
Analysis: This is where the root cause analysis takes place. The team working on the A3 report identifies the underlying causes contributing to the problem or situation. Tools such as the 5 Whys or fishbone diagrams may be used to aid in this analysis.
Proposed Countermeasures: Based on the analysis, potential solutions or countermeasures are proposed. These should directly address the root causes identified earlier. The emphasis is on practical, actionable steps that can be taken to improve the situation.
Implementation Plan: This section outlines how the proposed countermeasures will be put into action. It includes details such as who will do what, by when, and any resources or support needed for implementation.
Follow-Up: Finally, the A3 report includes a plan for monitoring progress and evaluating the effectiveness of the countermeasures. This might involve setting specific metrics or targets to track, as well as establishing checkpoints for review and adjustment if necessary.
The A3 report is often used as a communication tool, allowing teams to share their problem-solving process and proposed solutions in a clear and concise format. It encourages a structured approach to problem-solving and facilitates collaboration among team members. Additionally, because it’s typically presented on a single sheet of paper in form of A3 report checklist, it helps to focus attention on the most critical aspects of the problem and solution.
This document provides an overview and instructions for using the 7 Quality Control tools: check sheets, stratification, Pareto charts, cause-and-effect (fishbone) diagrams, histograms, control charts, and scatter diagrams. It describes the objective, rules, background and importance of each tool. For each tool, it addresses the purpose, when to use it, procedure, and benefits. The overall goal is to present these tools to address problem solving and quality improvement through structured data collection and analysis.
Technical / Research / Lab Reports
Proposals
Progress Reports
Justification Report
To implement change; might summarize current policy;e.g. to justify hiring employees.
Annual Report
Length: ~10% the length of the original document.
It should work as a “standalone” document.
It should overview the following sections:
Purpose/Problem
Scope
Methods
Findings
Conclusions/recommendations
The reason(s) the document reaches the conclusions/recommendations that it does
Define Topic, Provide Context, Background
Statement of Purpose: goal of report / significance / opportunity
Preview key findings/subtopics.
Weak: “This report discusses low-impact aerobic exercise.”
Stronger: “This report compares three low-impact aerobic exercise options for employees, analyzing external agencies, in-house facilities, and general extracurricular programs with onsite facilities and programs deemed the best solution.”
Supports (or opposes) our business plan / thesis
An observable measurement vs. assumptions
Helps us evaluate choices & make decisions
This document provides an overview and examples of using table calculations in Looker to perform conditional logic, comparisons over time, pivoting of data, and statistical functions without using LookML. Table calculations allow users to create their own calculations on data in reports using expressions. Examples shown include bucketing data by age, comparing order counts from the current and previous year, calculating a rolling average, pivoting data to show percentages by year, and using statistical functions to find the mode and percent rank of values.
Microsoft Excel is a spreadsheet program used to record and analyse numerical and statistical data. Microsoft Excel provides multiple features to perform various operations like calculations, pivot tables, graph tools, macro programming, etc.
An Excel spreadsheet can be understood as a collection of columns and rows that form a table. Alphabetical letters are usually assigned to columns, and numbers are usually assigned to rows. The point where a column and a row meet is called a cell.
SPSS (Statistical Package for the Social Sciences) is a versatile and responsive program designed to undertake a range of statistical procedures. SPSS software is widely used in a range of disciplines and is available from all computer pools within the University of South Australia.
DOE is an essential tool to ensure products and processes satisfy Quality by Design requirements imposed by regulatory agencies. Using a QbD approach to develop your testing process can help you reduce waste, meet compliance criteria and get to market faster.
DOE helps you create a reliable QbD process for assessing formula robustness, determining critical quality attributes and predicting shelf life by using a few months of historical data.
Minitab is a statistics package developed at the Pennsylvania State University by researchers Barbara F. Ryan, Thomas A. Ryan, Jr., and Brian L. Joiner in conjunction with Triola Statistics Company in 1972.
It began as a light version of OMNITAB 80, a statistical analysis program by NIST, which was conceived by Joseph Hilsenrath in years 1962-1964 as OMNITAB program for IBM 7090. The documentation for OMNITAB 80 was last published 1986, and there has been no significant development since then.
R is a language and environment for statistical computing and graphics."
"R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques, and is highly extensible."
"One of R's strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.“
This document discusses data visualization techniques. It begins by defining data visualization and its importance for analyzing large datasets. It then discusses the advantages of data visualization, including how visuals help people quickly understand trends and outliers. The document also covers the importance of data visualization for business decision making. It lists several benefits, such as enabling better analysis, identifying patterns, and exploring insights. Finally, it categorizes and provides examples of different types of charts for visualizing data, including charts for showing change over time, comparing categories, ranking items, part-to-whole relationships, distributions, flows, and relationships.
The document describes various quality control tools that can be used for process improvement. It lists 7 basic tools - Pareto diagram, cause and effect diagram, flow chart, check sheet, histogram, scatter diagram, and control chart. These are more numeric tools. It also lists 7 advanced tools - affinity diagram, activity node diagram, interrelationship diagraph, process decision program chart, matrix diagram, prioritization matrix, and tree diagram. These are described as being more managerial tools. Each tool is then described in more detail with examples on how and when they should be used.
Tableau allows users to create dashboards that display multiple worksheets and views together for easy comparison of data. To create a dashboard, select Dashboard > New Dashboard from the menu. Views and objects can then be added and arranged on the dashboard. Parameters and filters can be used to make dashboards interactive and allow users to dynamically change the data displayed. Maintaining good performance in Tableau requires limiting the amount of data pulled into views through appropriate filtering and aggregation of data.
Application of Excel and SPSS software for statistical analysis- Biostatistic...Himanshu Sharma
This slide contains B.Pharm Biostatistics and Research methodology 8th Sem. Unit-3 L2 topic- "Statistical Analysis using Software"
It contains topics:
1. MS Excel
2. SPSS
3. MiniTab
#StatisticalAnalysisusingMSExcel
#StatisticalAnalysisusingMiniTab
#StatisticalAnalysisusingSPSS
The document provides an introduction and overview of databases. It defines what a database is, distinguishes between data and information, and explains the purpose of database systems. It describes different types of databases, considerations for selecting a database management system, and key database concepts such as fields, records, tables, and relationships. The document also discusses quality control and includes an agenda for hands-on practice with database concepts and functions in Microsoft Access.
The document discusses elements that should be included in a marketing research report, including the importance of the report, formatting, and use of visualizations. It provides guidelines for each section of the report such as the introduction, methods, results, conclusions and recommendations. The document also discusses best practices for presenting research orally and avoiding plagiarism. Key visualization tools mentioned include tables, graphs, pie charts and bar charts. Formatting elements covered include the title page, table of contents, references, and appendices.
A JMP dashboard combines JMP data tables and graphs for data exploration and analysis. It allows users to select data and perform analyses without scripting. Key features of the JMP Dashboard Builder include templates for building dashboards, drag-and-drop tools for arranging reports, and containers for organizing dashboard elements. Dashboards can contain reports, data filters, data tables, images, and text boxes.
Statistical software tools like MS Excel, SPSS, and MiniTab can be used for statistical analysis.
MS Excel is commonly used due to its convenience and low cost, but requires statistical knowledge. It provides functions for descriptive statistics. SPSS is commonly used in social sciences for tasks like frequencies, cross-tabulation, and regression without coding. MiniTab provides statistical analysis tools and graphical visualization for processes like Six Sigma. Each tool has advantages like ease of use, analysis capabilities, and limitations like learning curves, file sizes, and costs.
The document provides an overview of team problem solving and the 8-step (G8D) problem solving process. It introduces the objectives of establishing a disciplined and systematic approach to problem solving using data. Key aspects of the process include establishing a cross-functional team, clearly describing the problem, developing interim containment actions, diagnosing the root cause using tools like cause-and-effect diagrams, and implementing and verifying permanent corrective actions to prevent recurrence. Graphical tools like histograms, Pareto charts, flow charts and scatter diagrams are discussed for problem analysis.
This document provides an overview and demos of the major SAP BusinessObjects front-end tools, including Dashboards, the BI 4.0 Launchpad, Analysis, WebIntelligence, Explorer, and Crystal Reports. It discusses the strengths and use cases of each tool, demonstrates basic navigation and functions, and emphasizes that different tools are suited for different types of users and tasks like ad-hoc querying, reporting, data exploration, and visualization. The overall goal is to help users understand each tool's capabilities and how to select the appropriate tools for their needs.
Epson has developed a toolkit to help users analyze data and make decisions. The toolkit outlines a 5-step process: 1) define the problem and data collection plan, 2) collect and clean the data, 3) interpret the data, 4) develop recommendations, and 5) monitor improvements. It also provides guidance on descriptive statistics, data relationships, grouping data, and identifying trends to analyze problems. The overall goal is to help users turn data into actionable insights and impactful decisions.
The document discusses various business analysis tools and techniques. It begins by defining business analysis and the responsibilities of business analysts. It then covers topics like reporting tools, query tools, OLAP, data mining, and executive information systems. Under OLAP, it discusses multidimensional data modeling concepts like star schemas, snowflake schemas, and fact constellations. It also covers OLAP operations and different types of OLAP servers including MOLAP, ROLAP, and HOLAP servers.
This presentation provided learning material on Ishikawa's seven basic quality tools: histograms, Pareto charts, cause-and-effect diagrams, run charts, scatter diagrams, flow charts, and control charts. Each tool was defined and explained with examples of how it is constructed and how it can be used. The tools are simple and effective ways to analyze data, identify problems and prioritize solutions, discover causes of problems, study relationships between variables, map processes, and monitor quality control.
The document discusses various quality tools and techniques, including the New Seven Management Tools and the Basic Seven QC Tools. It provides details on each of the New Seven Tools: Affinity Diagrams, Relationship Diagrams, Tree Diagrams, Matrix Diagrams, Arrow Diagrams, Priority Matrix, and Process Decision Program Charts. Examples and steps to create each tool are outlined. The relationship between the New Seven Tools, which organize verbal data, and the Basic Seven QC Tools, which analyze numerical data, is explained.
Understanding family structure and style is essential to patient a.docxouldparis
Understanding family structure and style is essential to patient and family care. Conducting a family interview and needs assessment gathers information to identify strengths, as well as potential barriers to health. This information ultimately helps develop family-centered strategies for support and guidance.
This family health assessment is a two-part assignment. The information you gather in this initial assignment will be utilized for the second assignment in Topic 3.
Develop an interview questionnaire to be used in a family-focused functional assessment. The questionnaire must include three open-ended, family-focused questions to assess functional health patterns for each of the following:
1. Values/Health Perception
2. Nutrition
3. Sleep/Rest
4. Elimination
5. Activity/Exercise
6. Cognitive
7. Sensory-Perception
8. Self-Perception
9. Role Relationship
10. Sexuality
11. Coping
Select a family, other than your own, and seek permission from the family to conduct an interview. Utilize the interview questions complied in your interview questionnaire to conduct a family-focused functional assessment. Document the responses as you conduct the interview.
Upon completion of the interview, write a 750-1,000-word paper. Analyze your assessment findings. Submit your questionnaire as an appendix with your assignment.
Include the following in your paper:
1. Describe the family structure. Include individuals and any relevant attributes defining the family composition, race/ethnicity, social class, spirituality, and environment.
2. Summarize the overall health behaviors of the family. Describe the current health of the family.
3. Based on your findings, describe at least two of the functional health pattern strengths noted in the findings. Discuss three areas in which health problems or barriers to health were identified.
4. Describe how family systems theory can be applied to solicit changes in family members that, in turn, initiate positive changes to the overall family functions over time.
Cite at least three peer-reviewed or scholarly sources to complete this assignment. Sources should be published within the last 5 years and appropriate for the assignment criteria.
Prepare this assignment according to the guidelines found in the APA Style Guide. An abstract is not required.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
Please refer to the directions in the Student Success Center.
RUBRIC
The interview questionnaire presented and demonstrates strong insight into family-focused assessment strategies. All functional heath patterns include three highly relevant open-ended questions.
The family structure is clearly described. All individuals and relevant attributes are discussed in detail. The discussion demonstrates an in-depth perspective into family structure.
Health behaviors are identified and presented in detail. The current health of ...
This document provides an overview and instructions for using the 7 Quality Control tools: check sheets, stratification, Pareto charts, cause-and-effect (fishbone) diagrams, histograms, control charts, and scatter diagrams. It describes the objective, rules, background and importance of each tool. For each tool, it addresses the purpose, when to use it, procedure, and benefits. The overall goal is to present these tools to address problem solving and quality improvement through structured data collection and analysis.
Technical / Research / Lab Reports
Proposals
Progress Reports
Justification Report
To implement change; might summarize current policy;e.g. to justify hiring employees.
Annual Report
Length: ~10% the length of the original document.
It should work as a “standalone” document.
It should overview the following sections:
Purpose/Problem
Scope
Methods
Findings
Conclusions/recommendations
The reason(s) the document reaches the conclusions/recommendations that it does
Define Topic, Provide Context, Background
Statement of Purpose: goal of report / significance / opportunity
Preview key findings/subtopics.
Weak: “This report discusses low-impact aerobic exercise.”
Stronger: “This report compares three low-impact aerobic exercise options for employees, analyzing external agencies, in-house facilities, and general extracurricular programs with onsite facilities and programs deemed the best solution.”
Supports (or opposes) our business plan / thesis
An observable measurement vs. assumptions
Helps us evaluate choices & make decisions
This document provides an overview and examples of using table calculations in Looker to perform conditional logic, comparisons over time, pivoting of data, and statistical functions without using LookML. Table calculations allow users to create their own calculations on data in reports using expressions. Examples shown include bucketing data by age, comparing order counts from the current and previous year, calculating a rolling average, pivoting data to show percentages by year, and using statistical functions to find the mode and percent rank of values.
Microsoft Excel is a spreadsheet program used to record and analyse numerical and statistical data. Microsoft Excel provides multiple features to perform various operations like calculations, pivot tables, graph tools, macro programming, etc.
An Excel spreadsheet can be understood as a collection of columns and rows that form a table. Alphabetical letters are usually assigned to columns, and numbers are usually assigned to rows. The point where a column and a row meet is called a cell.
SPSS (Statistical Package for the Social Sciences) is a versatile and responsive program designed to undertake a range of statistical procedures. SPSS software is widely used in a range of disciplines and is available from all computer pools within the University of South Australia.
DOE is an essential tool to ensure products and processes satisfy Quality by Design requirements imposed by regulatory agencies. Using a QbD approach to develop your testing process can help you reduce waste, meet compliance criteria and get to market faster.
DOE helps you create a reliable QbD process for assessing formula robustness, determining critical quality attributes and predicting shelf life by using a few months of historical data.
Minitab is a statistics package developed at the Pennsylvania State University by researchers Barbara F. Ryan, Thomas A. Ryan, Jr., and Brian L. Joiner in conjunction with Triola Statistics Company in 1972.
It began as a light version of OMNITAB 80, a statistical analysis program by NIST, which was conceived by Joseph Hilsenrath in years 1962-1964 as OMNITAB program for IBM 7090. The documentation for OMNITAB 80 was last published 1986, and there has been no significant development since then.
R is a language and environment for statistical computing and graphics."
"R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques, and is highly extensible."
"One of R's strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.“
This document discusses data visualization techniques. It begins by defining data visualization and its importance for analyzing large datasets. It then discusses the advantages of data visualization, including how visuals help people quickly understand trends and outliers. The document also covers the importance of data visualization for business decision making. It lists several benefits, such as enabling better analysis, identifying patterns, and exploring insights. Finally, it categorizes and provides examples of different types of charts for visualizing data, including charts for showing change over time, comparing categories, ranking items, part-to-whole relationships, distributions, flows, and relationships.
The document describes various quality control tools that can be used for process improvement. It lists 7 basic tools - Pareto diagram, cause and effect diagram, flow chart, check sheet, histogram, scatter diagram, and control chart. These are more numeric tools. It also lists 7 advanced tools - affinity diagram, activity node diagram, interrelationship diagraph, process decision program chart, matrix diagram, prioritization matrix, and tree diagram. These are described as being more managerial tools. Each tool is then described in more detail with examples on how and when they should be used.
Tableau allows users to create dashboards that display multiple worksheets and views together for easy comparison of data. To create a dashboard, select Dashboard > New Dashboard from the menu. Views and objects can then be added and arranged on the dashboard. Parameters and filters can be used to make dashboards interactive and allow users to dynamically change the data displayed. Maintaining good performance in Tableau requires limiting the amount of data pulled into views through appropriate filtering and aggregation of data.
Application of Excel and SPSS software for statistical analysis- Biostatistic...Himanshu Sharma
This slide contains B.Pharm Biostatistics and Research methodology 8th Sem. Unit-3 L2 topic- "Statistical Analysis using Software"
It contains topics:
1. MS Excel
2. SPSS
3. MiniTab
#StatisticalAnalysisusingMSExcel
#StatisticalAnalysisusingMiniTab
#StatisticalAnalysisusingSPSS
The document provides an introduction and overview of databases. It defines what a database is, distinguishes between data and information, and explains the purpose of database systems. It describes different types of databases, considerations for selecting a database management system, and key database concepts such as fields, records, tables, and relationships. The document also discusses quality control and includes an agenda for hands-on practice with database concepts and functions in Microsoft Access.
The document discusses elements that should be included in a marketing research report, including the importance of the report, formatting, and use of visualizations. It provides guidelines for each section of the report such as the introduction, methods, results, conclusions and recommendations. The document also discusses best practices for presenting research orally and avoiding plagiarism. Key visualization tools mentioned include tables, graphs, pie charts and bar charts. Formatting elements covered include the title page, table of contents, references, and appendices.
A JMP dashboard combines JMP data tables and graphs for data exploration and analysis. It allows users to select data and perform analyses without scripting. Key features of the JMP Dashboard Builder include templates for building dashboards, drag-and-drop tools for arranging reports, and containers for organizing dashboard elements. Dashboards can contain reports, data filters, data tables, images, and text boxes.
Statistical software tools like MS Excel, SPSS, and MiniTab can be used for statistical analysis.
MS Excel is commonly used due to its convenience and low cost, but requires statistical knowledge. It provides functions for descriptive statistics. SPSS is commonly used in social sciences for tasks like frequencies, cross-tabulation, and regression without coding. MiniTab provides statistical analysis tools and graphical visualization for processes like Six Sigma. Each tool has advantages like ease of use, analysis capabilities, and limitations like learning curves, file sizes, and costs.
The document provides an overview of team problem solving and the 8-step (G8D) problem solving process. It introduces the objectives of establishing a disciplined and systematic approach to problem solving using data. Key aspects of the process include establishing a cross-functional team, clearly describing the problem, developing interim containment actions, diagnosing the root cause using tools like cause-and-effect diagrams, and implementing and verifying permanent corrective actions to prevent recurrence. Graphical tools like histograms, Pareto charts, flow charts and scatter diagrams are discussed for problem analysis.
This document provides an overview and demos of the major SAP BusinessObjects front-end tools, including Dashboards, the BI 4.0 Launchpad, Analysis, WebIntelligence, Explorer, and Crystal Reports. It discusses the strengths and use cases of each tool, demonstrates basic navigation and functions, and emphasizes that different tools are suited for different types of users and tasks like ad-hoc querying, reporting, data exploration, and visualization. The overall goal is to help users understand each tool's capabilities and how to select the appropriate tools for their needs.
Epson has developed a toolkit to help users analyze data and make decisions. The toolkit outlines a 5-step process: 1) define the problem and data collection plan, 2) collect and clean the data, 3) interpret the data, 4) develop recommendations, and 5) monitor improvements. It also provides guidance on descriptive statistics, data relationships, grouping data, and identifying trends to analyze problems. The overall goal is to help users turn data into actionable insights and impactful decisions.
The document discusses various business analysis tools and techniques. It begins by defining business analysis and the responsibilities of business analysts. It then covers topics like reporting tools, query tools, OLAP, data mining, and executive information systems. Under OLAP, it discusses multidimensional data modeling concepts like star schemas, snowflake schemas, and fact constellations. It also covers OLAP operations and different types of OLAP servers including MOLAP, ROLAP, and HOLAP servers.
This presentation provided learning material on Ishikawa's seven basic quality tools: histograms, Pareto charts, cause-and-effect diagrams, run charts, scatter diagrams, flow charts, and control charts. Each tool was defined and explained with examples of how it is constructed and how it can be used. The tools are simple and effective ways to analyze data, identify problems and prioritize solutions, discover causes of problems, study relationships between variables, map processes, and monitor quality control.
The document discusses various quality tools and techniques, including the New Seven Management Tools and the Basic Seven QC Tools. It provides details on each of the New Seven Tools: Affinity Diagrams, Relationship Diagrams, Tree Diagrams, Matrix Diagrams, Arrow Diagrams, Priority Matrix, and Process Decision Program Charts. Examples and steps to create each tool are outlined. The relationship between the New Seven Tools, which organize verbal data, and the Basic Seven QC Tools, which analyze numerical data, is explained.
Understanding family structure and style is essential to patient a.docxouldparis
Understanding family structure and style is essential to patient and family care. Conducting a family interview and needs assessment gathers information to identify strengths, as well as potential barriers to health. This information ultimately helps develop family-centered strategies for support and guidance.
This family health assessment is a two-part assignment. The information you gather in this initial assignment will be utilized for the second assignment in Topic 3.
Develop an interview questionnaire to be used in a family-focused functional assessment. The questionnaire must include three open-ended, family-focused questions to assess functional health patterns for each of the following:
1. Values/Health Perception
2. Nutrition
3. Sleep/Rest
4. Elimination
5. Activity/Exercise
6. Cognitive
7. Sensory-Perception
8. Self-Perception
9. Role Relationship
10. Sexuality
11. Coping
Select a family, other than your own, and seek permission from the family to conduct an interview. Utilize the interview questions complied in your interview questionnaire to conduct a family-focused functional assessment. Document the responses as you conduct the interview.
Upon completion of the interview, write a 750-1,000-word paper. Analyze your assessment findings. Submit your questionnaire as an appendix with your assignment.
Include the following in your paper:
1. Describe the family structure. Include individuals and any relevant attributes defining the family composition, race/ethnicity, social class, spirituality, and environment.
2. Summarize the overall health behaviors of the family. Describe the current health of the family.
3. Based on your findings, describe at least two of the functional health pattern strengths noted in the findings. Discuss three areas in which health problems or barriers to health were identified.
4. Describe how family systems theory can be applied to solicit changes in family members that, in turn, initiate positive changes to the overall family functions over time.
Cite at least three peer-reviewed or scholarly sources to complete this assignment. Sources should be published within the last 5 years and appropriate for the assignment criteria.
Prepare this assignment according to the guidelines found in the APA Style Guide. An abstract is not required.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
Please refer to the directions in the Student Success Center.
RUBRIC
The interview questionnaire presented and demonstrates strong insight into family-focused assessment strategies. All functional heath patterns include three highly relevant open-ended questions.
The family structure is clearly described. All individuals and relevant attributes are discussed in detail. The discussion demonstrates an in-depth perspective into family structure.
Health behaviors are identified and presented in detail. The current health of ...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Natural Language Processing (NLP), RAG and its applications .pptxfkyes25
1. In the realm of Natural Language Processing (NLP), knowledge-intensive tasks such as question answering, fact verification, and open-domain dialogue generation require the integration of vast and up-to-date information. Traditional neural models, though powerful, struggle with encoding all necessary knowledge within their parameters, leading to limitations in generalization and scalability. The paper "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks" introduces RAG (Retrieval-Augmented Generation), a novel framework that synergizes retrieval mechanisms with generative models, enhancing performance by dynamically incorporating external knowledge during inference.
2. Introduction
• We are Binary Brains, a team of 5 ,out of the world , like-minded,
curious mates who came as a team and worked on the task given
to us an Analyst.
• Vaishnavi & Roshan : Created the dashboard.
• Shipra & Ankit : Worked on the PowerPoint.
• Abhay : Presenter
3. Dashboard Analytics
• Dashboard Analytics can provide many benefits to a business, including
improved decision-making, identifying trends, and monitoring
performance in real time.
• Dashboards can also help businesses identify areas for improvement and
track progress towards goals.
4. Task Background
• The task was to create a dashboard based on the Task-List.
We have used the following functions and formulas:-
• Query
• IF
• ISBLANK
• TEXT
• SELECT
• COUNTBLANK
• TEXTJOIN
• UNIQUE
We have divided the dashboard into 3 sections:-
• Filters - In this section, we have created the filters for the dashboard.
• Graphs -This section has the graphs and charts related to the dataset.
• Tables -This section displays the data in the form of tables.
5. Dashboard 1/3
This Section is the filter section. It has the six filters and each of them can be used according to the needs.
6. Dashboard 2/3
• This section has the
graphs.
• There are six graphs,
corresponding to the six
filters above.
• The graphs include, Bar
Graphs, Pie Chart,
Columns Chart.
7. Dashboard 3/3
• Third section is the data table
section.
• All the charts and filters are
shown here in the form of Tables
and Histogram.
8. Key-Finding
Data Trend :
• We can see the number of tasks
assigned to each team.
• We also have the Employee vs Task
graph.
• Through data analysis, we identified the
urgency of the tasks.
• We can also identify the percentage of the
employee on the basis of their profile.
• We can also see the work status of the task
set.
Team Trend :
10. Conclusion
• This dashboard will provide all the insights which are can be used to
describe the dataset.
• It has all the necessary graphs, charts, and tables and is well mentioned for
the analysis.