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    Developing Global Management Competencies Level 3 GSM london Unit 5

    Introduction

    Newcastle United Football club is an English professional club which was founded in the year 1982 through merger. Period from 1904 to 1910 was recognized as the most successful period as club won FA cup. It has been assessed that after struggling period in the early’s 2000such club returned to the premiership after winning championship in 2017-18season.In this, report will provide an in-depth insight about the issues and performance which has high level of impact on the performance of football club. Further, report also presents the manner in which business intelligence and data analytics aspects assist in presenting important aspects prominently. It also exhibits effective and efficient use of BI / DA in context of Newcastle Football Club.

    Presenting theoretical framework to link problem/opportunity statement with business intelligence/data analytics system

    In Europe, football is considered as the most popular game which in turn viewed by several people. According to every sector, in football clubs, players are paid on the basis of their performance level. Football clubs offer high fees to the players who play efficiently and won trophies for the club. Moreover, winning position improves the image of Football club to a great extent. Thus, it can be presented that as per performance and skills variation take place in the fees paid by the club to high and low performing players. Hence, for developing suitable fees structure, it is highly required for club to maintain the record of player’s performance. From the perspective of tracking player’s performance and drafting suitable fees, structure record is highly needed.

    Rationale behind this is that when high monetary benefits are offered to the efficient players then they are encouraged to make their best efforts. Hence, the main issue which is being faced by football association team is related to the development of appropriate fees structure. Thus, for evaluating such issue, dashboard will be created using excel which in turn provides assistance in understanding various aspects graphically. As compared to the theoretical framework, graphical presentation is considered as highly attractive and helps in understanding data set more effectually. Moreover, business intelligence system includes a wide range of tools, applications and methodologies which in turn enable business units to gather data from both internal as well as external sources and then analyze the same. BI and analytical system helps in creating reports as well as dashboards and thereby, presents the suitable view of concerned situation.

    Presenting theoretical framework to link problem / opportunity statement with business intelligence/data analytics system

    Business intelligence or data analytics systems are highly effectual which in turn provides assistance in evaluating issue prominently and thereby aid in suitable decision making. In recent times companies and other institutions lay high level of emphasis on undertaking business intelligence or data analytics system which helps in understanding as well as evaluating problem in the best possible way. Now, several business analytic systems or tools are available which can be used for preparing attractive dashboards such as Tableau, excel etc. Dashboard implies for the data visualization tool which in turn assists in displaying current status of metrics and KPI’s related to the enterprise. This is considered as highly effectual system which assists in arranging, as well as displaying numbers, metrics and performance scorecards on a single screen. In addition to this, SAS business intelligence and data analytics system assists in converting data set into better decision. Moreover, it includes several techniques such as regression and cluster analysis etc which helps in deriving suitable values from data set.

    In the context of Newcastle Football club, using business intelligence and analytic system such as dashboard is highly significant which clearly exhibits the player who performs well. Further, dashboard also presents fess which is paid by Newcastle football club to the players. Graphical presentation develops high understanding regarding data set and thereby aid in effectual decision making. Thus, referring dashboard football club association can develop suitable fees structure after the completion of contract. Further, regression analysis tool, in SAS, presents the level to which one factor or variable depends on another. Hence, in this, SAS software or studio has been used to evaluate the impact of fees paid on goals performance of players. Further, cluster analysis, a multivariate method helps in classifying a sample or group of abstract objects into the classes of similar one. Hence, such statistical tool provides high level of assistance in assessing that objects pertaining to one group are highly similar to each other rather than from different objects.

    Giving evidence in relation to the knowledge of key business intelligence/data analytics systems

    Dashboard

    Mentioned in appendix.

    Regression results using SAS

    Mentioned in appendix.

    Critical analyzing as well as justifying effective and efficient use of the BI / DA system implemented

    Dashboard

    Referring dashboard it can be stated that total goals made by Ayoze Perez accounts for 6 respectively. Whereas, fouls and passes implies for 0.9 & 19.4 significantly. In comparison to the performance level, annual salary paid to the workers imply for £2340. On the other side, annual salary paid by Newcastle Football club to Islam Slimani & Jonjo Shelvey too high. Salary of such two players account for £4160 & £3640 significantly. In contrast to this, total goals of both the players namely Islam Slimani & Jonjo Shelvey are only 1. However, graphical presentation clearly shows that fouls done by Jonjo were 0.8. On the other side, number of fouls pertaining to the player Islam Slimani was zero. Further, dashboard presents that after Ayoze, high goals were done by Dwight Gayle, Joselu, Matt Ritchie and Jacob Murphy. However, salary paid by Newcastle to such personnel falls within the range of £1300 & £2340. Thus, considering graphs included in dashboard, it can be mentioned that football players of Newcastle club, who plays well, are receiving less money in comparison to others. Thus, referring overall assessment, it can be mentioned that Newcastle football club is not offering suitable returns or salary to the workers on the basis of their performance.

    Regression analysis

    H0: There is no statistical significant difference takes place in the mean value of fee paid and goals made by the football players.

    H1: There is a statistical significant difference takes place in the mean value of fee paid and goals made by the football players.

    Interpretation: By doing assessment, it has found that p value is higher in comparison to the standard value such as 0.05 which in turn shows that alternative hypothesis is true. Hence, referring overall evaluation, it can be mentioned no significant difference takes place in the mean value of fees paid and goals made by the players. In other words, it can be mentioned that fees paid do not have significant impact on the performance of football players statistically.

    Drawing conclusion and giving recommendations for the successful implementation and use of a BI / DA solution in Newcastle United FC

    More Resources: 

    Conclusion

    From the above report, it can be concluded that Newcastle football club is not offering salaries to the workers on the basis of their performance. Some players are paid higher by the club irrespective of the aspect that they made less goals over others. In addition to this, it has assessed from evaluation that no statistical significant difference takes place in the mean value of fees paid and goals made. However, to retain talented players Newcastle club needs to make modifications in the existing salary structure or criteria’s.

    Recommendations

    Referring the outcome of statistical evaluation, following recommendations are given to Newcastle football club:

    • It is recommended to management team of Newcastle club to lay focus on offering salary to the personnel on the basis of their performance. This in turn helps in retaining highly talented personnel. Moreover, after specific point of time, monetary benefits or factors have high level of impact on employee’s retention. Thus, for developing the team of talented personnel Football club needs to make some changes in the existing structure.
    • In addition to this, at the time of determining salary structure management team of Newcastle football should consider several factors such as fouls, passes and goals. Hence, referring such aspects football club would become able to set suitable salary structure and thereby retain talented personnel. Further, through offering suitable payments to the skilled players football club can enhance employee motivation to a great extent.

    APPENDIX

    Regression results

    /** Import an XLSX file. **/

    PROC IMPORT DATAFILE="/folders/myfolders/sasuser.v94/A51030.xlsx"

    OUT=WORK.A51030

    DBMS=XLSX

    REPLACE;

    RUN;

    /** Print the results. **/

    PROC PRINT DATA=WORK.A51030; RUN;

    SAS output

    Regression analysis

    PROCREG;

    MODEL Feepaid= Goals performance

    RUN;

    Data Set

    WORK.A61357

    Dependent Variable

    TOTAL_GOALS

    Selection Method

    None

     

    Number of Observations Read

    10

    Number of Observations Used

    10

     

    Class Level Information

    Class

    Levels

    Values

    Fees_paid

    6

    1300 1820 2080 2340 3640 4160

     

    Dimensions

    Number of Effects

    2

    Number of Parameters

    7

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    Least Squares Summary

    Step

    Effect
    Entered

    Number
    EffectsIn

    Number
    ParmsIn

    SBC

    0

    Intercept

    1

    1

    12.1980*

    1

    Fees_paid

    2

    6

    14.4609

    *OptimalValueofCriterion

     

    Analysis of Variance

    Source

    DF

    Sumof
    Squares

    Mean
    Square

    F Value

    Pr>F

    Model

    5

    16.23333

    3.24667

    1.22

    0.4366

    Error

    4

    10.66667

    2.66667

       

    Corrected Total

    9

    26.90000

         

     

    Root MSE

    1.63299

    Dependent Mean

    2.90000

    R-Square

    0.6035

    Adj R-Sq

    0.1078

    AIC

    24.64539

    AICC

    80.64539

    SBC

    14.46090

     

    Parameter Estimates

    Parameter

    DF

    Estimate

    Standard
    Error

    tValue

    Pr>|t|

    Intercept

    1

    1.000000

    1.632993

    0.61

    0.5734

    Fees_paid 1300

    1

    2.000000

    2.309401

    0.87

    0.4353

    Fees_paid 1820

    1

    0

    2.309401

    0.00

    1.0000

    Fees_paid 2080

    1

    3.000000

    1.885618

    1.59

    0.1868

    Fees_paid 2340

    1

    2.666667

    1.885618

    1.41

    0.2302

    Fees_paid 3640

    1

    0

    2.309401

    0.00

    1.0000

    Fees_paid 4160

    0

    0

    .

    .

    .

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