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1 ACC ACF 2400 Semester 2, 2017 Individual Assignm.docx
1 ACC ACF 2400 Semester 2, 2017 Individual Assignm.docxhoney725342
油
1
ACC ACF 2400 Semester 2, 2017
Individual Assignment 1:
Building a Business Dashboard
Overview
A business dashboard is a style of reporting that depicts KPIs, operational or strategic information with
intuitive and interactive displays (Turban et al., 2015 p. 380). It is a single screen snapshot of how a
business, department, or process is performing. The design varies considerably from one application
to another, and even between businesses, but a common feature of a dashboard is that it uses graphs,
coloured text, and symbols to show the viewer, at a glance, the current status. A dashboard should
only contain information that actually influences performance. Many dashboards are interactive
because it can be difficult to show every important detail at once.
You are an employee at Australian Electronics Pty Ltd. You have been assigned the task of designing
a report that will be used by managers involved in purchasing, sales, and inventory management.
Your boss, Mary Smith, suggest including at least four (4) ratios. Regarding the ratios, Mary thinks
that Inventory Turnover and Sales Growth are a must.
This is an individual assignment. There is no fixed answer, so be creative!! The spreadsheet must
perform ratio analysis to show the current status of the inventory holdings and sales. Marks are
awarded according to how well the dashboard meets the requirements specified in the rubric.
A data set is supplied with this guide in Moodle (ACC ACF 2400_s2 2017_Inventory Statistics.xlsx). The
Inventory Statistics data set contains four sheets: sales value, sales quantity, the quantity of inventory
on hand, and the quantity purchased. You should use all sheets in your calculations, but may need to
restructure some data on a separate calculation sheet to ensure data is in the format you need.
Instructions on how to build a complex interactive scorecard have been published in different journals
such as the Journal of Accountancy
(http://www.journalofaccountancy.com/issues/2011/feb/20092427.html), but you do not have to
build such a complex system if your spreadsheeting skills are not well developed.
The table below contrasts two different approaches. The example on the left shows 7 ratios in a non-
interactive dashboard, with three graphs and one table of numbers. It is clearly not an inventory
management dashboard, but if the design features included were tailored to the inventory
management context, it would likely earn a pass (providing instructions, the input sheet, and the
calculations sheet are acceptable).
The example on the right, however, is from the Dashboard your Scorecard article. It is also not an
inventory management dashboard and does not show ratios, and so is not acceptable, but illustrates
elements that will earn higher marks:
It is interactive (note the drop-down box in the bottom right graph to select the person shown);
It uses conditional for ...5 steps to a visually persuasive dashboard
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This document outlines five steps for creating visually persuasive dashboards:
1. Identify key metrics that are imperative to the dashboard's goals.
2. Develop a layout that guides users through the data by grouping related metrics and placing important ones in prominent areas.
3. Provide comparisons and trends for all key performance indicators to give context to the metrics.
4. Design charts and visualizations that are easy to interpret while removing non-essential embellishments.
5. Drive user engagement by allowing interactive exploration of the data through filters and the ability to drill down into details.What is Advanced Excel and what are some best practices for designing and cre...
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Advanced Excel encompasses sophisticated features for data analysis and reporting, requiring mastery of basic functions and formatting. Effective dashboards prioritize simplicity, consistency, visual hierarchy, interactivity, and performance optimization, while handling time-series data entails utilizing functions, tools, and techniques tailored to chronological data analysis. Power Pivot enhances data modeling and analysis through integration, advanced calculations, visualization, and performance optimization, while Excel VBA automates tasks, customizes functionality, and extends Excel's capabilities, contributing to enhanced productivity and insightful decision-making.
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Youve driven to work the same way for years, then one day you offer a lift to a new employee who suggests a different route to take. You save 20 minutes of sitting in traffic, and you even get to use your cruise control. You tell your colleagues about this great new shortcut and soon everyones saving time and feeling less stressed.
Its the same with Excel spreadsheets! Small changes, shortcuts and improvements add up to a BIG improvement in your productivity as Controlling Excel Chaos
Controlling Excel Chaosgreghawes
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The document discusses how Information Builders' WebFOCUS software can help control chaos caused by the uncontrolled proliferation of Excel spreadsheets in organizations. It describes how WebFOCUS can source corporate data and deliver it to Excel users through centralized Excel sourcebooks or emailed spreadsheets. This prevents manual data entry errors and ensures all analysts are working from consistent, audited data sources. WebFOCUS extracts can include pre-built formulas, pivot tables, formatting and styling to deliver advanced functionality without additional work from users.How can advanced Excel skills benefit professionals in finance and accounting...
How can advanced Excel skills benefit professionals in finance and accounting...kzayra69
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How can advanced Excel skills benefit professionals in finance and accounting roles?
Introduction
Advanced Excel skills are invaluable for professionals in finance and accounting roles. They enable efficient data analysis, sophisticated financial modeling, and streamlined automation of tasks.
With Excel's capabilities, professionals can enhance reporting, manage risks effectively, and provide decision support. These skills not only improve productivity but also contribute to informed decision-making and regulatory compliance.
If anyone wants to learn advanced Excel techniques, many institutes offer specialized Advanced Excel courses in Pune that provide hands-on training to master complex data analysis and visualization. Join us to sharpen your skills and excel in Pune's dynamic business environment.
Advanced Excel skills can significantly benefit professionals in finance and accounting roles in several ways:
Data Analysis: Excel allows professionals to analyze large datasets quickly and efficiently. Advanced functions like pivot tables, lookup functions, and data validation enable them to summarize, filter, and manipulate data to derive meaningful insights.
Financial Modeling: Excel is widely used for financial modeling, such as building complex financial statements, forecasting cash flows, conducting scenario analysis, and valuing investments. Professionals with advanced Excel skills can create dynamic and accurate models that help in decision-making processes.
Automation: Excel's powerful features, such as macros and Visual Basic for Applications (VBA), allow professionals to automate repetitive tasks and streamline workflows. This can save significant time and reduce the risk of errors, especially when dealing with routine tasks like data entry or report generation.
Financial Reporting: Excel is commonly used for preparing financial reports, budget presentations, and management dashboards. Advanced formatting and charting capabilities enable professionals to present financial information in a clear and visually appealing manner, making it easier for stakeholders to understand and interpret.
Risk Management: Excel can be used to analyze and manage financial risks by performing sensitivity analysis, stress testing, and Monte Carlo simulations. Professionals can use advanced Excel techniques to assess the impact of various risk factors on financial outcomes and develop strategies to mitigate risks effectively.
Decision Support: Advanced Excel users can create dynamic decision support tools that enable stakeholders to evaluate different scenarios and make informed decisions. By building interactive models and dashboards, professionals can provide valuable insights into the financial implications of various strategic options.
Audit and Compliance: Excel is often used in auditing and compliance processes to perform data validation, detect anomalies, and ensure the accuracy and completeness of financial records. Advanced Excel skWhat are the key points one must know before learning Advanced Excel.docx
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Master advanced Excel by mastering basic functions, data formatting, and basic formulas before diving into features like PivotTables, conditional formatting, and tools like Solver and Get & Transform for advanced data analysis and optimization tasks. Efficiently manage large datasets by utilizing Excel Tables, PivotTables, external data connections, and optimizing hardware/software settings to overcome performance limitations and maximize productivity.
What are dashboards?
What are dashboards?Clear Direction Training LLC
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You hear the term everywhere - but what does it mean? Learn what dashboards and how to get started with them.Using MS Excel In Your Next Audit - Top Basic & Intermediate Techniques 
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Data analytics does not need to be difficult or time consuming to start and in this course, we will focus on the key learning blocks needed within Microsoft Excel to be an effective data analytic auditor or accountant.
As regulatory changes sweep the globe, auditors, risk management, and compliance professionals are using more sophisticated tools, and methods.
Using a live/video training library approach, we help companies of all sizes use audit and assurance software to improve business intelligence, increase efficiencies, identify fraud, test controls, and bottom line savings.
AuditNet and Cash Recovery Partners Webinar recording available at auditsoftwarevideos.com and AuditNet.tv (registration required) Recording free to view.
Sample Data Files for All Courses are available for $49
To purchase access to all sample data files, Excel macros and ACL scripts associated with the free training visit AuditSoftwareVideos.
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ACL Software is a powerful product yet many users are concerned it is difficult to start and therefore, may never effectively maximize the product. If you fall into this category or just want to learn from one of the top industry experts in ACL Software (over 20 years experience), this course will provide the key learning blocks to get started quickly auditing three top audit areas for data analytics.
Using a live/video training library approach, we help companies of all sizes use audit and assurance software to improve business intelligence, increase efficiencies, identify fraud, test controls, and bottom line savings.
AuditNet and Cash Recovery Partners Webinar recording available at auditsoftwarevideos.com and AuditNet.tv (registration required) Recording free to view.
Sample Data Files for All Courses are available for $49
To purchase access to all sample data files, Excel macros and ACL scripts associated with the free training visit AuditSoftwareVideos.
SEM 8 BIOSTATISTICS graphs minitab excel etc
SEM 8 BIOSTATISTICS graphs minitab excel etcKaishAamirPathan
油
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.Application of Excel and SPSS software for statistical analysis- Biostatistic...
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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
#StatisticalAnalysisusingSPSSShowcase of Reports
Showcase of ReportsGarth Wilson
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The document provides a showcase of reports created by Garth Wilson in Microsoft Excel to analyze purchasing, inventory, and financial data for managers. The reports were designed to extract meaningful insights from vast data arrays compiled from various software sources. Examples shown include comprehensive reports on inventory levels, costs, and sales across different time periods, locations, and product categories. The reports automatically update when new raw data is imported, transforming it into clear, visual summaries and analyses.Uses of excel
Uses of excelJithin Zcs
油
The document provides examples of how Excel can be used for various business applications including tracking stock movements with pivot tables, shipment planning forecasts, merging data using Vlookup, creating forms for surveys, performance tracking using conditional formatting, finding breakeven points using Goal Seek, identifying blank rows with conditional formatting, extracting data from accounting systems using pivot tables and queries, ranking with ranking formulas, and tracking forecasted sales updates with conditional formatting or the highlight changes function.1 Analytics Group Project Instructions OBJEC.docx
1 Analytics Group Project Instructions OBJEC.docxtarifarmarie
油
1
Analytics Group Project Instructions
OBJECTIVE:
Your objective is to evaluate a companys processes, develop an integrated accounting database,
produce a simple set of financial reports, and conduct analyses that will add value and enhance the
performance of the company. Ideally, groups will have 3-4 members. You may work with your group in-
person and/or online.
Carefully read the description of Boneless Seafood company. Become familiar with the data contained
in the associated Boneless Seafood Excel data file. Review the instructions below and discuss the
project with your group before you begin work. Although you will divide up the workload, every
student should be familiar with every part of the project. Each aspect should be discussed and agreed
upon, and all members are responsible for producing an integrated final project.
What youll turn in:
In class:
Printed report that contains an executive summary, table of contents, and items described in
deliverables A through H. Further details are provided on p. 3 and in subsequent instructions.
One combined, sequential time log that shows dates, activities, and names of group member or
members who completed each activity. You can use a shared Google sheet or any format of your
choice to track your progress.
In my email:
Subject line: 335 HB1 Group Project: Amy Lee, Pat Garcia, and Joe Smith (use your own section
and names)
3 attachments: A single Access database that includes properly numbered and descriptively named
queries, a summary Excel file, and a single Word or PDF document that contains your entire report
(use a scanner or scanning app such as Genius Scan if necessary).
**Important** I change some aspects of my projects each term. If a group submits answers to a
previous terms assignment, the group will receive a 0 on the project and will be subject to a hearing by
the universitys academic integrity disciplinary committee. Youre investing a lot of time and money to
learn accountingdo your own work so that you can get the knowledge and skills youre here for.
Keep copies of all of your notes and preliminary work in case you need to provide evidence of the
independence of your work or of your contribution to the group effort.
Suggestions for how to get started
Before you begin, study the instructions, interviews, and data.
Complete part B first, and make sure everyone understands and agrees on the data
model. Chapter 8 provides a lot of information that might be helpful as you work through the group
project. For example, Figure 8.6 provides a generic data model you can use as a starting point.
Each table in the Excel file will represent an entity in your model, except that the orders_sales file will
need to be broken into its heading and line items components (to see why, look at Atla_O90007.) You
may break down some other event files as well.
2
The table below gives s.A Beginner's Guide to Business Analytics for business analytics assignment he...
A Beginner's Guide to Business Analytics for business analytics assignment he...Assignment World
油
Learn the basics of Business Analytics for business analtics assignment, its benefits, tools, and steps to get started. Unlock data-driven insights to boost your business success.ImportantSummary discussion of chapter not article or sectio.docx
ImportantSummary discussion of chapter not article or sectio.docxbradburgess22840
油
Important
Summary discussion of chapter not article or section
Due date today 6/30/15 in 8 hours or earlier
No plagiarism in own words
Will run through a plagiarism checker
Will not accept if after due date
Please cite and reference
References and citation page must include a valid URL to take the reader to the electronic copy of each source.
If cannot complete with the given instructions do not reply
Please contact me if you have questions
Write as a discussion of this part of the chapter with another student
Please post I found the material interesting, or what do you think
I may ask to change some areas at later date
Please title first followed by discussion
100 to 200 word count each, can be longer if needed
Please write clearly simplify
I am in the U.S.
No charts or graphs
Needs to be like a discussion in class or post
Make the minimum 10 post for discussion
The Tools of Quality
When we introduce a particular method of doing a job, it is natural to consider whether the method is appropriate or not. The decision is usually based on past results and experience, or perhaps on conventional methods. Procedures will be most effective if a proper evaluation is made, and on-the-job data are essential for making a proper evaluation.
KAORU油ISHIKAWA,油Quality Tools Inventor油1
1Ishikawa, K., Guide to Quality Control, Asia Productivity Organization, Tokyo, Japan, 1985.
Quality improvement in manufacturing or services, to be effective, should address the needs of the system as a whole. In this book we have attempted to address quality management from an integrative perspective. This perspective has encompassed the many functional areas of business, including supply chain management, marketing, accounting, human resources, operations, engineering, and strategy. None of these fields of endeavor operate in a vacuum. They are all interrelated and interdependent.
Improving the System
To be successful, a business or organization must balance the needs of these different functional areas around a coherent business vision and strategy. The objective of the system is to satisfy the customer. Customer satisfaction means higher customer retention, which leads to improved profitability.
A quality system (Figure 10-1) uses the business model with a focus on the customer and includes the dynamics of continual improvement, change, planning, and renewal. Continual improvement is necessary for a company to learn to grow. Companies that are unable to adapt find themselves with stagnant cultures and labor forces. Many managers, on discovering that their organization has reached this point, believe they must resort to draconian measures such as layoffs and organizational reengineering to achieve change. If they had pursued continual improvement and learning in the first place, they might not have reached this juncture.
Figure 10-1 Quality System Model
This quality system is not just a series of variables and relationships. It is an interconnect.Business intelligence - benefits of using an online analytical solution
Business intelligence - benefits of using an online analytical solutionHeadChannel
油
This document discusses the benefits of using a business intelligence (BI) solution compared to Excel-based reporting. BI solutions can analyze data faster, more efficiently, and accurately from multiple sources. They generate more detailed, wider-ranging, and accurate reports. BI also saves costs through greater efficiency, elimination of inaccurate data, and improved ability to predict trends. While Excel is flexible, BI mitigates issues like lengthy manual operations, reliance on qualified staff, and lack of historical data for comparison. The document provides an example of how a BI solution could improve an organization's item valuation, costs, and yield analysis reporting.Business intelligence - benefits of using an online analytical solution
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This document discusses the benefits of using a business intelligence (BI) solution compared to Excel-based reporting. BI solutions can analyze data faster, more efficiently, and accurately from multiple sources. They generate more detailed, wider-ranging, and accurate reports. BI also saves costs through greater efficiency and ability to predict future trends. While Excel is flexible, BI mitigates issues like lengthy manual work, need for qualified staff, and unreliable reports. BI converts and aggregates data to present key information clearly and allows historical comparisons and flexible analysis not possible with separate Excel files.The Importance of Data Visualization in a Data Analyst Course.pdf
The Importance of Data Visualization in a Data Analyst Course.pdfAmrita sharma
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In todays data-driven world, companies are inundated with massive amounts of data. However, raw data in itself is not inherently useful. To extract actionable insights and enable informed decision-making, it must be transformed into an easily digestible formatthis is where data visualization comes into play. Data visualization refers to the graphical representation of data, allowing complex information to be conveyed in a simple, visual format. This is a vital skill for data analysts because effective visuals can highlight patterns, trends, and outliers that might otherwise go unnoticed. As businesses rely on data to shape strategies, the ability to visualize data efficiently is now considered a critical tool for decision-making.
How to use Power Pivot in Excel
How to use Power Pivot in ExcelSelect Distinct Limited
油
What is Power Pivot and How to use it in?
Power up your Excel Data Analysis with this feature
Part 2 of 2
#Excel #PowerPivot #dataanalytics
https://www.selectdistinct.co.uk/2023/03/20/how-to-use-power-pivot/Essential Excel for Business Analysts and Consultants
Essential Excel for Business Analysts and ConsultantsAsen Gyczew
油
Excel is the most often used first-choice tool of every business analyst and consultant. Maybe it is not the most fancy or sophisticated one, yet it is universally understood by everybody especially your boss and your customers.
Excel is still pretty advanced tool with countless number of features and functions. I have mastered quite a lot of them during my studies and while working. After some time in consulting I discovered that most of them are not that useful; some of them bring more problems than solutions. On top of that there are features that we are taught at university that are not flexible and pretty time consuming. While working as a business analyst I developed my own set of tricks to deal with Excel I learned how to make my analyses idiot-proven and extremely universal.
I will NOT teach you the entire Excel as it is simply not efficient (and frankly you dont need it). This course is organized around 80/20 rule and I want to teach you the most useful (from business analyst / consultant perspective) formulas as fast as possible. I want you also to acquire thanks to the course good habits in Excel that will save you loads of time.
If done properly, this course will transform you in 1 day into pretty good business analyst that knows how to use Excel in the smart way. It is based on my 12 years of experience as a consultant in top consulting companies and as a Board Member responsible for strategy, improvement and turn-arounds in biggest companies from FMCG, SMG, B2B sector that I worked for. On the basis of what you will find in this course I have trained over 100 business analysts who now are Investment Directors, Senior Analyst, Directors in Consulting Companies, Board Members etc.
I teach step by step on the basis of Excel files that will be attached to the course. To make the best out of the course you should follow my steps and repeat what I do with the data after every lecture. Dont move to the next lecture if you have not done what I show in the lecture that you have gone through.
I assume that you know basic Excel so the basic features (i.e. how to write formula in Excel) are not explained in this course. I concentrate on intermediate and advanced solutions and purposefully get rid of some things that are advanced yet later become very inflexible and useless (i.e. naming the variables). At the end, I will show 4 full blown analyses in Excel that use the tricks that I show in the lectures.
To every lecture you will find attached (in additional resources) the Excel shown in the Lecture so as a part of this course you will also get a library of ready-made analyses that can, with certain modification, be applied by you in your work.
KETL Quick guide to data analytics 
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A quick guide to introducing data analytics into your business team. With tips and a short case study. CPQ Software vs Excel How to Simplify Quoting of Advanced Products 2.pdf
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The article "CPQ Software vs Excel: How to Simplify Quoting of Advanced Products" compares the effectiveness of CPQ (Configure, Price, Quote) software with traditional Excel methods for quoting complex products. It discusses the limitations of Excel, such as lack of advanced pricing models, error-proneness, and poor collaboration capabilities.Supply Chain Forecasting & Planning: Move On from Microsoft Excel?
Supply Chain Forecasting & Planning: Move On from Microsoft Excel?Jeff Ondria
油
PREVIEW Surveys of business use of forecasting support tools reveal that Microsofts Excel
spreadsheet software continues to reign supreme in smaller organizations. As Sujit Singh explains,
there are many virtues to this solution; however, the balance of pros and cons begins
to tip as organizational size and complexity increase. Sujit provides a comprehensive examination
of the efficacy of relying on Excel to support the forecasting and planning functions
and then describes the gains and costs of moving up to a best-of-breed planning application.Get Essential Use Case Template Excel.docx
Get Essential Use Case Template Excel.docxSaira Khalid
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Get organized with our Use Case Template Excel. It helps you outline tasks clearly. Download today and take your projects to the next level!Project Management Documentation Templates.docx
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Use our Project Management Documentation Templates to keep everything in one place. Improve your team's workflow. Download your templates now!More Related Content
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Data analytics does not need to be difficult or time consuming to start and in this course, we will focus on the key learning blocks needed within Microsoft Excel to be an effective data analytic auditor or accountant.
As regulatory changes sweep the globe, auditors, risk management, and compliance professionals are using more sophisticated tools, and methods.
Using a live/video training library approach, we help companies of all sizes use audit and assurance software to improve business intelligence, increase efficiencies, identify fraud, test controls, and bottom line savings.
AuditNet and Cash Recovery Partners Webinar recording available at auditsoftwarevideos.com and AuditNet.tv (registration required) Recording free to view.
Sample Data Files for All Courses are available for $49
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AuditNet and Cash Recovery Partners Webinar recording available at auditsoftwarevideos.com and AuditNet.tv (registration required) Recording free to view.
Sample Data Files for All Courses are available for $49
To purchase access to all sample data files, Excel macros and ACL scripts associated with the free training visit AuditSoftwareVideos.
SEM 8 BIOSTATISTICS graphs minitab excel etc
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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.Application of Excel and SPSS software for statistical analysis- Biostatistic...
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1. MS Excel
2. SPSS
3. MiniTab
#StatisticalAnalysisusingMSExcel
#StatisticalAnalysisusingMiniTab
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1
Analytics Group Project Instructions
OBJECTIVE:
Your objective is to evaluate a companys processes, develop an integrated accounting database,
produce a simple set of financial reports, and conduct analyses that will add value and enhance the
performance of the company. Ideally, groups will have 3-4 members. You may work with your group in-
person and/or online.
Carefully read the description of Boneless Seafood company. Become familiar with the data contained
in the associated Boneless Seafood Excel data file. Review the instructions below and discuss the
project with your group before you begin work. Although you will divide up the workload, every
student should be familiar with every part of the project. Each aspect should be discussed and agreed
upon, and all members are responsible for producing an integrated final project.
What youll turn in:
In class:
Printed report that contains an executive summary, table of contents, and items described in
deliverables A through H. Further details are provided on p. 3 and in subsequent instructions.
One combined, sequential time log that shows dates, activities, and names of group member or
members who completed each activity. You can use a shared Google sheet or any format of your
choice to track your progress.
In my email:
Subject line: 335 HB1 Group Project: Amy Lee, Pat Garcia, and Joe Smith (use your own section
and names)
3 attachments: A single Access database that includes properly numbered and descriptively named
queries, a summary Excel file, and a single Word or PDF document that contains your entire report
(use a scanner or scanning app such as Genius Scan if necessary).
**Important** I change some aspects of my projects each term. If a group submits answers to a
previous terms assignment, the group will receive a 0 on the project and will be subject to a hearing by
the universitys academic integrity disciplinary committee. Youre investing a lot of time and money to
learn accountingdo your own work so that you can get the knowledge and skills youre here for.
Keep copies of all of your notes and preliminary work in case you need to provide evidence of the
independence of your work or of your contribution to the group effort.
Suggestions for how to get started
Before you begin, study the instructions, interviews, and data.
Complete part B first, and make sure everyone understands and agrees on the data
model. Chapter 8 provides a lot of information that might be helpful as you work through the group
project. For example, Figure 8.6 provides a generic data model you can use as a starting point.
Each table in the Excel file will represent an entity in your model, except that the orders_sales file will
need to be broken into its heading and line items components (to see why, look at Atla_O90007.) You
may break down some other event files as well.
2
The table below gives s.A Beginner's Guide to Business Analytics for business analytics assignment he...
A Beginner's Guide to Business Analytics for business analytics assignment he...Assignment World
油
Learn the basics of Business Analytics for business analtics assignment, its benefits, tools, and steps to get started. Unlock data-driven insights to boost your business success.ImportantSummary discussion of chapter not article or sectio.docx
ImportantSummary discussion of chapter not article or sectio.docxbradburgess22840
油
Important
Summary discussion of chapter not article or section
Due date today 6/30/15 in 8 hours or earlier
No plagiarism in own words
Will run through a plagiarism checker
Will not accept if after due date
Please cite and reference
References and citation page must include a valid URL to take the reader to the electronic copy of each source.
If cannot complete with the given instructions do not reply
Please contact me if you have questions
Write as a discussion of this part of the chapter with another student
Please post I found the material interesting, or what do you think
I may ask to change some areas at later date
Please title first followed by discussion
100 to 200 word count each, can be longer if needed
Please write clearly simplify
I am in the U.S.
No charts or graphs
Needs to be like a discussion in class or post
Make the minimum 10 post for discussion
The Tools of Quality
When we introduce a particular method of doing a job, it is natural to consider whether the method is appropriate or not. The decision is usually based on past results and experience, or perhaps on conventional methods. Procedures will be most effective if a proper evaluation is made, and on-the-job data are essential for making a proper evaluation.
KAORU油ISHIKAWA,油Quality Tools Inventor油1
1Ishikawa, K., Guide to Quality Control, Asia Productivity Organization, Tokyo, Japan, 1985.
Quality improvement in manufacturing or services, to be effective, should address the needs of the system as a whole. In this book we have attempted to address quality management from an integrative perspective. This perspective has encompassed the many functional areas of business, including supply chain management, marketing, accounting, human resources, operations, engineering, and strategy. None of these fields of endeavor operate in a vacuum. They are all interrelated and interdependent.
Improving the System
To be successful, a business or organization must balance the needs of these different functional areas around a coherent business vision and strategy. The objective of the system is to satisfy the customer. Customer satisfaction means higher customer retention, which leads to improved profitability.
A quality system (Figure 10-1) uses the business model with a focus on the customer and includes the dynamics of continual improvement, change, planning, and renewal. Continual improvement is necessary for a company to learn to grow. Companies that are unable to adapt find themselves with stagnant cultures and labor forces. Many managers, on discovering that their organization has reached this point, believe they must resort to draconian measures such as layoffs and organizational reengineering to achieve change. If they had pursued continual improvement and learning in the first place, they might not have reached this juncture.
Figure 10-1 Quality System Model
This quality system is not just a series of variables and relationships. It is an interconnect.Business intelligence - benefits of using an online analytical solution
Business intelligence - benefits of using an online analytical solutionHeadChannel
油
This document discusses the benefits of using a business intelligence (BI) solution compared to Excel-based reporting. BI solutions can analyze data faster, more efficiently, and accurately from multiple sources. They generate more detailed, wider-ranging, and accurate reports. BI also saves costs through greater efficiency, elimination of inaccurate data, and improved ability to predict trends. While Excel is flexible, BI mitigates issues like lengthy manual operations, reliance on qualified staff, and lack of historical data for comparison. The document provides an example of how a BI solution could improve an organization's item valuation, costs, and yield analysis reporting.Business intelligence - benefits of using an online analytical solution
Business intelligence - benefits of using an online analytical solutionHeadChannel
油
This document discusses the benefits of using a business intelligence (BI) solution compared to Excel-based reporting. BI solutions can analyze data faster, more efficiently, and accurately from multiple sources. They generate more detailed, wider-ranging, and accurate reports. BI also saves costs through greater efficiency and ability to predict future trends. While Excel is flexible, BI mitigates issues like lengthy manual work, need for qualified staff, and unreliable reports. BI converts and aggregates data to present key information clearly and allows historical comparisons and flexible analysis not possible with separate Excel files.The Importance of Data Visualization in a Data Analyst Course.pdf
The Importance of Data Visualization in a Data Analyst Course.pdfAmrita sharma
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In todays data-driven world, companies are inundated with massive amounts of data. However, raw data in itself is not inherently useful. To extract actionable insights and enable informed decision-making, it must be transformed into an easily digestible formatthis is where data visualization comes into play. Data visualization refers to the graphical representation of data, allowing complex information to be conveyed in a simple, visual format. This is a vital skill for data analysts because effective visuals can highlight patterns, trends, and outliers that might otherwise go unnoticed. As businesses rely on data to shape strategies, the ability to visualize data efficiently is now considered a critical tool for decision-making.
How to use Power Pivot in Excel
How to use Power Pivot in ExcelSelect Distinct Limited
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What is Power Pivot and How to use it in?
Power up your Excel Data Analysis with this feature
Part 2 of 2
#Excel #PowerPivot #dataanalytics
https://www.selectdistinct.co.uk/2023/03/20/how-to-use-power-pivot/Essential Excel for Business Analysts and Consultants
Essential Excel for Business Analysts and ConsultantsAsen Gyczew
油
Excel is the most often used first-choice tool of every business analyst and consultant. Maybe it is not the most fancy or sophisticated one, yet it is universally understood by everybody especially your boss and your customers.
Excel is still pretty advanced tool with countless number of features and functions. I have mastered quite a lot of them during my studies and while working. After some time in consulting I discovered that most of them are not that useful; some of them bring more problems than solutions. On top of that there are features that we are taught at university that are not flexible and pretty time consuming. While working as a business analyst I developed my own set of tricks to deal with Excel I learned how to make my analyses idiot-proven and extremely universal.
I will NOT teach you the entire Excel as it is simply not efficient (and frankly you dont need it). This course is organized around 80/20 rule and I want to teach you the most useful (from business analyst / consultant perspective) formulas as fast as possible. I want you also to acquire thanks to the course good habits in Excel that will save you loads of time.
If done properly, this course will transform you in 1 day into pretty good business analyst that knows how to use Excel in the smart way. It is based on my 12 years of experience as a consultant in top consulting companies and as a Board Member responsible for strategy, improvement and turn-arounds in biggest companies from FMCG, SMG, B2B sector that I worked for. On the basis of what you will find in this course I have trained over 100 business analysts who now are Investment Directors, Senior Analyst, Directors in Consulting Companies, Board Members etc.
I teach step by step on the basis of Excel files that will be attached to the course. To make the best out of the course you should follow my steps and repeat what I do with the data after every lecture. Dont move to the next lecture if you have not done what I show in the lecture that you have gone through.
I assume that you know basic Excel so the basic features (i.e. how to write formula in Excel) are not explained in this course. I concentrate on intermediate and advanced solutions and purposefully get rid of some things that are advanced yet later become very inflexible and useless (i.e. naming the variables). At the end, I will show 4 full blown analyses in Excel that use the tricks that I show in the lectures.
To every lecture you will find attached (in additional resources) the Excel shown in the Lecture so as a part of this course you will also get a library of ready-made analyses that can, with certain modification, be applied by you in your work.
KETL Quick guide to data analytics
KETL Quick guide to data analytics KETL Limited
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A quick guide to introducing data analytics into your business team. With tips and a short case study. CPQ Software vs Excel How to Simplify Quoting of Advanced Products 2.pdf
CPQ Software vs Excel How to Simplify Quoting of Advanced Products 2.pdfRight Information
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The article "CPQ Software vs Excel: How to Simplify Quoting of Advanced Products" compares the effectiveness of CPQ (Configure, Price, Quote) software with traditional Excel methods for quoting complex products. It discusses the limitations of Excel, such as lack of advanced pricing models, error-proneness, and poor collaboration capabilities.Supply Chain Forecasting & Planning: Move On from Microsoft Excel?
Supply Chain Forecasting & Planning: Move On from Microsoft Excel?Jeff Ondria
油
PREVIEW Surveys of business use of forecasting support tools reveal that Microsofts Excel
spreadsheet software continues to reign supreme in smaller organizations. As Sujit Singh explains,
there are many virtues to this solution; however, the balance of pros and cons begins
to tip as organizational size and complexity increase. Sujit provides a comprehensive examination
of the efficacy of relying on Excel to support the forecasting and planning functions
and then describes the gains and costs of moving up to a best-of-breed planning application.More from Saira Khalid (20)
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Streamline your project from start to finish using our Project Scope Document Template. Outline key details and keep your team aligned. Access it now!The #1 Financial Report Template Excel.docx
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Make project planning effortless with a Project Scope Plan Template. Clearly define objectives and tasks. Download your template and start today!The Ultimate Guide to Cost Performance Index Template 2024.docx
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Programable.com: The Ultimate Platform for Coders and Tech Enthusiasts
In the ever-expanding digital landscape, finding a dedicated space to share insights, tutorials, and deep dives into technology can be challenging. Thats where Programable.com comes ina revolutionary platform designed exclusively for coders, software developers, computer hardware enthusiasts, and tech professionals. If Medium.com is the go-to for general content, Programable.com is the specialized hub for everything tech-related.
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Programable.com is a knowledge-sharing platform built specifically for those passionate about programming, computer science, hardware innovations, and software development. It serves as a community-driven space where experts, beginners, and tech enthusiasts alike can publish articles, read insightful pieces, and engage in discussions tailored to the fast-paced world of technology.
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Navigating Payroll Compliance: Future-Proofing Payroll in an Evolving Regulat...
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Dont let outdated job descriptions hold your organization back! See how Payscales Job Description Management solution can help you optimize job management, reduce compliance risks, and empower your HR team.油6 Common Mistakes to Avoid When Creating a Performance Appraisal Dashboard in Excel.docx
- 1. Introduction: A Performance Appraisal Dashboard in Excel is a visual tool designed to help organizations track, analyze, and report on employee performance metrics. It consolidates performance data into a single, interactive interface, allowing managers and HR professionals to quickly assess employee performance, identify trends, and make informed decisions Common Mistakes To Avoid: Creating a performance appraisal dashboard in Excel can be a powerful tool for managing and assessing employee performance, but it's essential to avoid common pitfalls that can undermine its effectiveness. Related Article: 8 Tips For Creating Rolling Action Item List (exceltemple.com) Here are six common mistakes to avoid: 1. Overloading the Dashboard with Too Much Information Mistake: Including excessive amounts of data and too many KPIs can overwhelm users and make the dashboard difficult to navigate and interpret.
- 2. Solution: Focus on the most critical KPIs that align with your performance objectives. Use clear, concise visualizations to present the most relevant data. Aim for simplicity and clarity to ensure users can quickly grasp the key insights. 2. Inconsistent Data Formats Mistake: Using inconsistent data formats (e.g., dates, currencies, percentages) can lead to errors in data interpretation and analysis. Solution: Standardize data formats across all sheets and ensure that all entries adhere to these formats. Use Excel's built-in formatting tools to maintain consistency, such as defining cell formats and using data validation to enforce data integrity. Related Article: Get Agile Project Plan Template Excel - Excelonist (exceltemple.com) 3. Lack of Data Validation Mistake: Allowing unchecked data entry can result in inaccuracies, such as typographical errors or incorrect data types, leading to flawed analysis. Solution: Implement data validation rules to restrict the type and range of data that can be entered. For example, use drop-down lists for categorical data and set limits for numerical inputs to ensure data accuracy and reliability. 4. Poor Visual Design Choices Mistake: Utilizing complex, cluttered charts and too many colors can make the dashboard visually overwhelming and difficult to interpret. Solution: Follow best practices for data visualization by using clean, simple charts and a limited color palette. Ensure that each chart has a clear purpose and that the visual elements are easy to read and understand. Use color sparingly to highlight important data points or trends. 5. Not Automating Data Updates Mistake: Manually updating data can be time-consuming and prone to errors, leading to outdated or incorrect information on the dashboard. Solution: Use Excel's automation features, such as Power Query and dynamic ranges, to link your dashboard to data sources and automate updates. This ensures that the dashboard always reflects the most current data without manual intervention. Related Article: Project Construction Schedule Template Excel - ExcelTemple 6. Ignoring User Feedback and Testing
- 3. Mistake: Failing to test the dashboard with actual users and not incorporating their feedback can result in a tool that doesn't meet their needs or is difficult to use. Solution: Involve end-users in the development process and conduct thorough testing to identify any usability issues. Collect feedback regularly and make adjustments to improve the dashboard's functionality and user experience. Related Article: Performance appraisal - Wikipedia Conclusion: By avoiding these common mistakes, you can create a performance appraisal dashboard in Excel that is accurate, user-friendly, and provides valuable insights into employee performance. Regularly review the dashboard to ensure it continues to meet your organization's needs and adapts to any changes in performance evaluation criteria.