Demonstrate Technical Knowledge With MYOB And Excel Applications

Learning Outcome 3: Demonstrate technical knowledge with MYOB and Excel applications. Introduction to the individual assignment: This assignment must be completed using Microsoft Excel. These introductory excel skills you learn will be used in later units and in your professional life. Employers expect students to have good worksheet skills. Assignment Information: The assignment consists of two questions:

1 Students are to formulate possible solutions in practical scenarios using appropriate software like Excel, with a range of formulae and functions for basic income, expense and profitability analysis.

2 A brief research report to explore the impact that emerging technologies like Business Intelligence, Cloud Computing can have on accounting and business decisions. You can suitably embed the research report into the Excel file on a separate sheet.

 

You will be submitting only ONE Excel file for this assignment as an electronic assignment via the ACC 202 subject page on the student portal. Instructions are on the front page of the portal. Ensure that your work can be clearly identified with your student ID and FULL student name. Late penalties will apply for all late submissions. Any work which has been copied or shared between students will result in a Fail grade. This assignment must be your own work. . . .

 

_______________________________________________________________________ ACC 202 T3 2017 Excel and Case Study Page 2 QUESTION 1 (55 marks) The following employees work for Super Contracts Ltd, a public company specialising in contract labour force for different IT projects. The employees are paid an hourly rate, based on their Job Classification level. If an employee works more than 37 hours, they will be paid the overtime rate for the additional hours. The following table summarises the classifications and level of pay per classification: TABLE A: The overtime hourly rate is $ 90 per hour for ALL employees, regardless of their classification level. Simple Contracts Ltd has the following employees: TABLE B: Employee name Classification Level Paris Holton 5 Ricky Mortini 4 Jennifer Leepoz 6 Selina Geemak 2 Willard Smith 1 Russell Creak 6 Rafael Nooderly 4 Novak Djoker 1 Lara Bangle 3 Kath Hudson 6 Classification Levels Level Hourly pay 1 $ 30.00 2 $ 40.00 3 $ 50.00 4 $ 60.00 5 $ 70.00 6 $ 80.00

 

 

_______________________________________________________________________ ACC 202 T3 2017 Excel and Case Study Page 3 The hours worked for the week ended 30th June, 2017 are as follows: TABLE C: Employee name Hours worked Novak Djoker 37 Willard Smith 39 Lara Bangle 40 Kath Hudson 52 Selina Geemak 30 Paris Holton 45 Russell Creak 34 Jennifer Leepoz 36 Ricky Mortini 52 Rafael Nooderly 44 REQUIRED: One worksheet must be used to provide answers to this question

. ? No marks will be awarded if the correct function or formula is not used or if data has been manually entered.

? Take care regarding professional presentation of your work at every step. All dollar amounts must be provided in currency format and 2 decimal places. 1 a) Copy Table A into your worksheet. Set up a ‘range’ for the data. Name the range ‘classification level’ b) Copy Table B to the same worksheet.

 

 

? Add a third column titled ‘hourly pay’. Use the VLOOKUP function to pick up the correct hourly pay rate for each employee from the ‘classification level’ range set up above.

? Create a ‘range’ for the data in these 3 columns. Name the range ‘pay rate table’. This range will be used in a question below. (10 marks) 21. Using Table C data and keeping employee order unchanged, set up a payroll table to calculate the total payroll for each employee.

 

Your main payroll table should have the following headings: Employee Name Hours worked Regular Hours Overtime Hours Hourly Pay Base Amount Overtime Total Pay a) Use the IF function and absolute referencing to calculate the Regular Hours column. b) Use a suitable formula to calculate the Overtime hours. c) Use the VLOOKUP function with reference to the range created earlier to determine the Hourly Pay for each employee. d) Use suitable formulae to calculate the Base and Overtime amount for each employee. e) Use a formula to calculate the Total Pay f) Sort the table in order of employee names. All columns must be totalled as required. (30 marks) _______________________________________________________________________

 

 

ACC 202 T3 2017 Excel and Case Study Page 4 3

a) Using another formula, identify the employee(s) that earned the maximum overtime.

b) Discuss and illustrate one more function that can be included, in a case like this, to help with decision making.

c) Using Drop down function and Vlookup, prepare a separate summary table to display, one employee at a time, as follows Employee Name Total Pay (15 marks) Q 2 [20 marks] Research 1 - 2 commonly used Business Intelligence Tools that help extract intelligence from the business data to support decision-making through modelling and analysis. 1 List and briefly illustrate at least 2 features of commonly used Business Intelligence Tools that can support decision-making. (20 marks)

 

Your report need be:-

? Professionally presented, in your own words. Your research should include at least 2 references, such as the professional body articles as well as text books and peer reviewed academic journals. Vendor websites are not appropriate sources of information for this task. Use appropriate referencing in your report.

? Word limit : 450 ( excluding references, diagrams)

Classification Levels
Level	Hourly Pay
1	30
2	40
3	50
4	60
5	70
6	80
Employee Name	Classification Level	Hourly Pay
Paris Holton	5	70
Ricky Mortini	4	60
Jennifer Leepoz	6	80
Selina Geemak	2	40
Willard Smith	1	30
Russell Creak	6	80
Rafael Nooderly	4	60
Novak Djoker	1	30
Lara Bangle	3	50
Kath Hudson	6	80
Employee Name	Hours worked	Regular Hours	Overtime Hours	Hourly Pay	Base Amount	Over-Time	Total Pay
Selina Geemak	30	30	0	40	1200	0	1200
Russell Creak	34	34	0	80	2720	0	2720
Ricky Mortini	52	30	22	60	1800	1980	3780
Rafael Nooderly	44	30	14	60	1800	1260	3060
Paris Holton	45	30	15	70	2100	1350	3450
Novak Djoker	37	36	1	30	1080	90	1170
Lara Bangle	40	30	10	50	1500	900	2400
Kath Hudson	52	30	22	80	2400	1980	4380
Jennifer Leepoz	36	30	6	80	2400	540	2940
Willard Smith	39	30	9	30	900	810	1710
Total	409	310	99	580	17900	8910	26810
3.b:
Employee Name	Total Pay
Ricky Mortini	3780
Classification Level	Employee Name
Row Labels	Sum of Over-Time
Kath Hudson	1980
Ricky Mortini	1980
Grand Total	3960
Employees at Level 4 and Above:
	Values
Row Labels	Sum of Hourly Pay	Sum of Total Pay
Jennifer Leepoz	80	2940
Kath Hudson	80	4380
Paris Holton	70	3450
Rafael Nooderly	60	3060
Ricky Mortini	60	3780
Russell Creak	80	2720
Grand Total	430	20330
Growth of business intelligence in past decades:
Invention of business intelligence was done in early 1990s and there was evolvement over the past decades. The importance of self service in the concept of business intelligence (BI) has been identified resulting from its dramatic shift. There has been constant rise in revenue generated from the implementation of business intelligence along with the growth of tools of BI. It is expected that there will be further growth in this BI field. BI growth in terms of services offered by the adoption of technologies has resulted in its explosive growth over the years (Simkin et al. 2014).
Adoption of BI tools has been accelerated due to factors such as large amount of data acquisitions and falling costs. Many organizations implement the BI technology in their production and service departments (Tazik and Mohamed 2014). Manufacturing, retain and financial service providers make use of BI tools for functions such as ordering shipment, claim analysis, detection of fraud and targeting of grocery coupons.
It is illustrated from the present statistical data that there is a worldwide generation of revenue of $ 23.1 billion by the implementation of BI tools. BI can be defined as collection of software programs and application technologies that helps in effective and efficient performance of decision makers. Application of BI tools has led to enhancement of business decision making along with increase in demand of such tools globally. BI is a tool that strategically plans the prices of organization. BI is regarded as strategy of applying software that assist in implementing companies’ project plans.
Business tools commonly used and their characteristics:
Tools of business intelligence are software that have been designed to perform the analysis, retracement and reporting of data. Effective management and easy access of data for enterprises of varied sizes are done by using tools of BI. Emergence of BI tool helps in further enhancement of business decisions by providing user friendly interface and improved analysis of data. The two common BI tools are as follows:
Oracle Hyperion system- A centralized planning; forecasting and budgeting solutions are offered by this particular tool that integrates financial and operational planning process. The predictive capability of business is improved by the application of BI. Some of the benefits attributable to this tool involve cost ownership reduction, data integration and enhancing organization’s transparency. It helps in conducting an in depth analysis of key performance and operational indicators (Zhou 2015).
SAP Business Intelligence- The main focus of this tool of BI is to make the analysis and provide assistance in decision making. It is regarded as an efficient tool because it has the capacity of accessing multiple sources of data using single pace and single access point (Prasad and Green 2015). It helps in efficient analysis of data at higher level because of its ability of collection several data and compiling it in the report form. Capability of performing the analysis of multidimensional sources of data is one of the key functionalities of this tool.
References list:
Prasad, A. and Green, P., 2015. Organizational competencies and dynamic accounting information system capability: impact on AIS processes and firm performance. Journal of Information Systems, 29(3), pp.123-149.
Simkin, M.G., Norman, C.S. and Rose, J.M., 2014. Core concepts of accounting information systems. John Wiley & Sons.
Tazik, H. and Mohamed, Z.M., 2014, February. Accounting information system effectiveness, foreign ownership and timeliness of corporate financial report. In 5th Asia-Pacific Business Research Conference (pp. 17-18).
Zhou, Y., 2015. Research on the System for Government Accounting Information Quality Based on Information Transparency. Journal of Accounting and Economics, 3, p.001.