You need to do all your work in the TEC tool:
WebPage:
https://campus.technologyevaluation.com/ERPUniversity/campussignin
Username: [email protected]
Password: c23ar
Then click the My Account button on the right top of the screen, select Project, then go to Project 1.
Part I:
See the details in the attachment. And justify three ERP systems for that company B(see the attachment).
Part II: write a speech script for part I.(not speech notes, so you need to write every words you gonna say in the presentation.)
APA Citation.docx Article #1 In-Text Citations for Direct Quote APA Option 1 (Author Named in Text) Riina Vilander (2020), an economics and business administer, studied, “Data visualization can be a valuable tool in quality control as it reveals errors in data collection immediately, as well as, errors in the IT-system” (¶3). APA Option 2 (Author Named in Parenthesis) “Data visualization can be a valuable tool in quality control as it reveals errors in data and data collection immediately, as well as, errors in the IT-system” (Vilander, 2020, ¶3). Article #2 In-Text Citations for Summary APA Option 1 (Author Named in Text) Wayne Eckerson & Mark Hammond (2011), authors of “VISUAL REPORTING AND ANALYSIS”, studied that data visualization is core element for business intelligence which is enabling business users to understand and use data in better way so as to achieve strategic as well as tactical objectives. It also found that data visualization is in middle of growth phase which is remarkable. Further, it reveals the contribution of data visualization towards business productivity along with user insight as well as dashboards usage. APA Option 2 (Author Named in Parenthesis) Data visualization is core element for business intelligence which is enabling business users to understand and use data in better way so as to achieve strategic as well as tactical objectives. It also found that data visualization is in middle of growth phase which is remarkable. Further, it reveals the contribution of data visualization towards business productivity along with user insight as well as dashboards usage (Eckerson & Hammond, 2011) Indirect Quote Drăgan & Metz stated, “The most important data quality elements that should be considered for business purposes are accessibility, credibility, accuracy, consistency, completeness, integrity and readability” (as cited in Vilander, 2020, ¶19) References Article #1 APA References Citation Vilander, R. (2020). Business Intelligence and Developing Management Reporting Action research in a case organization. Retrieved from https://osuva.uwasa.fi/bitstream/handle/10024/10908/UniVaasa_2020_Vilander_Riina.pdf?sequence=2&isAllowed=y Article #2 APA References Citation Eckerson, W. & Hammond, M. (2011). VISUAL REPORTING AND ANALYSIS , Seeing Is Knowing, TDWI BEST PRACTICES REPORT. Retrieved from https://www.domo.com/assets/downloads/resources/TDWI-Visual-Reporting-and-Analysis-Report.pdf introduction.docx Introduction The primary aim is to carry out this activity to comprehend the business problem of the organisation that presents strong insights which can enable to better serve the customers and directly contribute to the bottom-line. I have performed extensive analysis on sales transactions that take in supermarket. A consumer will approach the supermarket if or she finds the required products with better service relative to others. By the virtue of this report, I have performed extensive analysis on the chain of supermarket present in the United States. The dataset may appear random at firms but it is store of knowledge that can help the organisation become more proactive and more responsive to the customer requirements. Analysing the dataset provided me in-depth information and insight to decipher the hidden patterns. For instance, this dataset offers to find out which consumers are regular and other who are random. Regular customers can be offered new services and offers so that they become loyal to the store. For example, Rick Hansen is one of the regular customers of store and it becomes necessary for the supermarket to motivate him to shop more from their store. Furthermore, analysing the dataset help one to understand which are the products that are bestseller and needs to be full of stock in order to minimise loss of revenue and good will. For instance, in the report you will find a complete analysis performed on the dataset that explains Chairs are most sold in the Furniture section and takes maximum share in the sales, however, there is not much difference between the Chairs and the Book cases. References Aldowah, H. (2019). Educational data mining and learning analytics for 21st century. Educational data mining and learning analytics for 21st century. Baldwin, D. (2019.1). Mastering Tableau . Packt Birmingham-Mumbai. Pacaiova, H. (June 2015). Analysis & Identification of Nonnonforming Products by 5W2H method. International Quality Conference, (pp. 33,34). Rita L. Sallam, J. R. (2011). Magic Quadrant for Business Intelligence Platforms. Gartner. Ritesh Chugh, S. G. (2013). Why Business Intelligence?: Significance of Business Intelligence Tools and Integrating BI Governance. outline-of-report.docx Outline of Report This section provides the outline of the report that is presented. With this report main intent is to perform detailed analysis on the transactions that take place in the supermarket and accordingly produce the required insights that can help in better decision making and offering better service to the customers. Essentially the outline of this report broadly explains how the report is structured and formatted that can enable you to gauge the flow. Report begins with the memo which is attached to the assignment followed by the title page. Then there is brief summary followed by the list of contents. Introduction section of the report provides the context of the report and explain briefly the purpose of the report and what is the background behind the complete report. Introduction also captivate the audience explaining what is instore for them as they read the report further. Moving on to the next section that explains the body of the report. Essentially this can be broken down into three parts where the first part explains the problem and establishment of the context. For instance, overall overview of the company, followed by the financial history that elaborates the decline rate with charts and graphs. Next paragraphs explain the proposed solutions and strategic recommendations. Actions and realistic timeline that can be implemented by the organisation in order to approach the given problem statement of the report. Third paragraph details a working implementation plan as well as how financial results would be influence if the plan is successfully executed. Fourth and final paragraph explains the recommended actions and subsequently conclude the report. I have performed extensive analysis on sales transactions that take in supermarket. A consumer will approach the supermarket if or she finds the required products with better service relative to others. By the virtue of this report, I have performed extensive analysis on the chain of supermarket present in the United States. The dataset may appear random at firms but it is store of knowledge that can help the organisation become more proactive and more responsive to the customer requirements. Analysing the dataset provided me in-depth information and insight to decipher the hidden patterns. For instance, this dataset offers to find out which consumers are regular and other who are random. Regular customers can be offered new services and offers so that they become loyal to the store. For example, Rick Hansen is one of the regular customers of store and it becomes necessary for the supermarket to motivate him to shop more from their store. Furthermore, analysing the dataset help one to understand which are the products that are bestseller and needs to be full of stock in order to minimise loss of revenue and good will. For instance, in the report you will find a complete analysis performed on the dataset that explains Chairs are most sold in the Furniture section and takes maximum share in the sales, however, there is not much difference between the Chairs and the Book cases. Furthermore, in the report, you would find the purpose of the report that explains the activity in order to better comprehend the business problem of an organization with the help of visuals & report. Report considers sales transactional dataset of one of the chains of Superstore at US. Explaining the dataset that comprises of transactional id and the product corresponding to that particular ordered, mode of transport. Each product is categorised into particular categories and subcategories. Moreover, in the report I have leverage pictorial representation by the use of many graphs like bar graphs, Line chart, quadrant as well as pareto analysis. These graphs help us to effectively and efficiently analyse huge set of datasets into concrete action items that enables one to understand the information better. For instance, these are key pointers one can channelised 1) Furniture- Chairs has maximum share in the sales, but there is not much difference between the Chairs and the Book cases. 2) Office Supplies- Storage has maximum share in the sales. Additionally, around 50% of the share in Office supplies is accounted by Storage and Appliances. There is a huge gap in the contribution between the first Two and the others. 3) Technology- Phones has maximum share in the sales and followed by the Copiers- which together account for 50% of total Technology sales. Based on these findings I have proposed recommendations to improve the operations and become more efficient in their process of managing inventory, maintaining a strong supply chain and maintain strong customer interactions. For instance, from the analysis we can gauge that, organisation needs to on Office supply category where we have very small contribution within the sub-categories as compared to other. Furthermore, in the report, I have performed quadrant analysis by the virtue of which we have tried to find out the discounting pattern on various products & whether the discounts given on various products is really a profitable deal or not. By doing the Quadrant analysis, the products are segregated into four quadrants, according to the Average Discount and Profit Ratio. Therefore, we need to concentrate on those particular products which are falling into lower right quadrant- where the discounts are high but the profits on those particular products are low. Considering the above facts, it is not a favourable condition to give discounts on these products. References Aldowah, H. (2019). Educational data mining and learning analytics for 21st century. Educational data mining and learning analytics for 21st century. Baldwin, D. (2019.1). Mastering Tableau . Packt Birmingham-Mumbai. Pacaiova, H. (June 2015). Analysis & Identification of Nonnonforming Products by 5W2H method. International Quality Conference, (pp. 33,34). Rita L. Sallam, J. R. (2011). Magic Quadrant for Business Intelligence Platforms. Gartner. Ritesh Chugh, S. G. (2013). Why Business Intelligence?: Significance of Business Intelligence Tools and Integrating BI Governance. Visual Incorporation Grammar Revision - Yimu Tao.docx Incorporation of Visuals into Reports PURPOSE The objective to carry out this activity is to understand the business problem of an organization with the help of visuals & report. We have considered a sales transactional dataset of one of the chain of Superstore at US. The dataset consists of transactional id and the product corresponding to that particular ordered, mode of transport. Each product is categorised into particular categories and subcategories. Figure 1 – Sample snapshot of Dataset VISUALIZATION: 1) BAR GRAPH: Scope – We shall understand the pattern of sales in various subcategories across different categories. Figure 2 – Bar Graph Conclusion (Category wise) - 1)