Productivity and Collaboration Tools: A Sales Data Analysis Report

This presentation provides a comprehensive analysis of sales data using various charts and tables to understand an organization's productivity. It interprets sales quantities by district, highlighting Liverpool as the top-performing district and Leicester as the lowest. The analysis extends to sales per person, noting Gareth Evans as the highest performer, and sales per product, with envelopes leading and labels lagging. The presentation concludes with recommendations to improve sales consistency across all products and districts, emphasizing the importance of incentives for sales personnel and enhanced promotional activities. References to relevant research on productivity software and smart offices support the analysis.

PRODUCTIVITY AND
COLLABORATION TOOLS

TABLE OF CONTENT
• Introduction
• Interpretation of quantity
sold per district
• Quantity sold per person
• Quantity sold per product
• Conclusion
• References

INTRODUCTION
• This presentation includes various charts and tables that
describes the information about the organization that engage
in the production of the product. The company wants to
increase their productivity level by using various techniques
and strategies so that they can improve their efficiency
power of the company. Further this report includes the
interpretation of the given charts that provides useful
information through which organization can analyze those
sectors from where they can be able to improve their
operations and able to earn the large amount of profit.

INTERPRETATION OF QUANTITY
SOLD PER DISTRICT
• This slides represent the relationship
between the district and quantity
sold. From the given chart it can be
analyzed that most of the quantity of
the product has been sold in the
district name as Liverpool. While
least number of the product has been
sold in the Leicester. Company wants
to increase its sales in every district
then they should bring the efficiency
and innovation in the products so
that the consumers can attract
towards the company products. Leeds
Liverpool
Barmouth
Cardiff
London
Leicester
Bristol
Birmingham
Hull
0 5 10 15 20 25 30 35 40 45
Quantity sold

INTERPRETATION OF QUANTITY
SOLD BY PER SALES PERSON
• This slides shows the data of those
person who are working in the
organization as the sales person.
From the given pie chart it can be
analyzed that the most of the
products are sold by the employee
named as Gareth Evans. The
number of the quantities are sold
by Gareth Evans is 43 units which
are relatively high as compare to
other sales person. The company
should give incentives of every
employees so that they can
increase their efficiency level and
increased their sales quantity.
Quantity sold
Frederick Walters Bobby Smith Anne-Marie Jones Roger Waters
Mo Rehman Helen Davidson Gareth Evans Alan Douglas
Alison Smith Hadyn Jones

INTERPRETATION OF QUANTITY
SOLD PER UNIT
• This slide represent the quantity sold
of every product. The company sold
various type of products such as
Paper, folders, envelops, labels and
fasteners. The highest quantity is
sold of the envelops and least sold
product is labels. If company wants
to increase their sales of every
product, then company should
increase its promotional and
marketing activities.
Paper Folders Envelops Lables Fasteners
0
5
10
15
20
25
30
35
40
Quantity sold

CONCLUSION
• It has been concluded that company sold various
types of product in different countries. But there
is a big gap between the quantity of the sales of
various products. Some are too high while some
are too low. The company should focus on the
least sold products. So that the consistency will
be made in the sales of the products.

REFERENCES
• Gatwood, J., Hohmeier, K., Kocak, M. and Chisholm-Burns, M., 2021. Acceptance of
productivity software as a course management and collaboration tool among student
pharmacists. Currents in Pharmacy Teaching and Learning, 13(4), pp.361-367.
• Storey, M.A., Zimmermann, T., Bird, C., Czerwonka, J., Murphy, B. and
Kalliamvakou, E., 2019. Towards a theory of software developer job satisfaction and
perceived productivity. IEEE Transactions on Software Engineering, 47(10), pp.2125-
2142.
• Papagiannidis, S. and Marikyan, D., 2020. Smart offices: A productivity and well-
being perspective. International Journal of Information Management, 51, p.102027.