Quarterly Business Trend Analysis for Decision Making Report

This report provides a quarterly trend analysis for business decision-making, presenting data from Q1 to Q4. It includes bar charts and line charts visualizing the trends, along with trend lines and corresponding equations. The analysis covers various metrics, offering insights into business performance over the four quarters. References to relevant academic articles are included, highlighting methodologies and applications in data analysis and project management. Desklib offers a platform to access similar solved assignments and study resources.

BUSINESS DECISION MAKING

957
997
1163
769

1008
1035
1189
811

Bar chart
Q1
Q2
Q3
Q4
0 200 400 600 800 1000 1200
931
959
1104
713

Q1
Q2
Q3
Q4
0 200 400 600 800 1000 1200 1400
957
997
1163
769

Q1
Q2
Q3
Q4
0 200 400 600 800 1000 1200 1400
1008
1035
1189
811

Line Chart
Q1 Q2 Q3 Q4
0
200
400
600
800
1000
1200
931 959
1104
713

Q1 Q2 Q3 Q4
0
200
400
600
800
1000
1200
1400
957 997
1163
769

Q1 Q2 Q3 Q4
0
200
400
600
800
1000
1200
1400
1008 1035
1189
811

Trend Line
Q1 Q2 Q3 Q4
0
200
400
600
800
1000
1200
931 959
1104
713
f(x) = -50.9x + 1054

Q1 Q2 Q3 Q4
0
200
400
600
800
1000
1200
1400
957 997
1163
769
f(x) = -39.8x + 1071

Q1 Q2 Q3 Q4
0
200
400
600
800
1000
1200
1400
1008 1035
1189
811
f(x) = -43.7x + 1120

REFERENCES
Brooks, J. P., Dula, J. H. and Boone, E. L., 2013. A pure L1-norm principal
component analysis. Computational statistics & data analysis. 61. pp.83-98.
Golbraikh, A. and et.al., 2014. Data set modelability by QSAR. Journal of
chemical information and modeling. 54(1). pp.1-4.
Haq, A., Brown, J. and Moltchanova, E., 2014. New exponentially weighted
moving average control charts for monitoring process dispersion. Quality and
Reliability Engineering International. 30(8). pp.1311-1332.
Mir, F. A. and Pinnington, A. H., 2014. Exploring the value of project
management: linking project management performance and project success.
International Journal of Project Management. 32(2). pp.202-217.

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