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Mba 433 MIS - Data Warehouse
1. IT Equipment Sales
Case Study 2
MBA 433 - 2012
Group – Vodafone
Rasheel Ram
Santosh Payal
Vinita Prasad
2. Executive Summary
This report provides an analysis of “Sales Transactions” provided in case study.
Microsoft Excel was used to analyse data. Various strategies were defined so
as improve sales, promotions, and increase revenue and productivity.
Data Warehouses are now been invested heavily for analysis of complex data.
Furthermore, inventory and procurement plans were also developed and
conclusions were finally made.
3. Data and Collection methods
ID
Store
No
Sales
Region
Item
No Item Description Unit Price
Units
Sold Week Ending
Promotion
Price
no Sold by
Promo
1 1 South 2005 17" Monitor $229.00 28 27-Oct-09 214 33
2 1 South 2005 17" Monitor $229.00 30 24-Nov-09 168 48
3 1 South 2005 17" Monitor $229.00 9 29-Dec-09 229 11
4 1 South 3006 101 Keyboard $19.95 30 27-Oct-09 10 33
5 1 South 3006 101 Keyboard $19.95 35 24-Nov-09 20 30
6 1 South 3006 101 Keyboard $19.95 39 29-Dec-09 15 33
7 1 South 6050 PC Mouse $8.95 28 27-Oct-09 4 33
8 1 South 6050 PC Mouse $8.95 3 24-Nov-09 8 4
9 1 South 6050 PC Mouse $8.95 38 29-Dec-09 4 61
10 1 South 8500 Desktop CPU $849.95 25 27-Oct-09 1077 23
11 1 South 8500 Desktop CPU $849.95 27 24-Nov-09 1077 27
4. Collection methods
• Establishment of a schedule for data collection and submission. This ensures
data is collected in a timely manner for the production of required reports.
• Training of staff on data collection methods.
• Development of necessary forms.
• Assignment of staff to complete the necessary forms.
• Assignment of staff to enter data in data entry system.
• Implementation of quality control procedures.
• Assignment of staff to generate required reports.
5. Data Definition
Data Attribute Definition
Store No Identifies the Store uniquely
Sales Region Identifies the sales region
Item No Tags a numerical value to each item
Item Description A short description of the item
Unit Price Price of one unit
Units Sold Number of units sold
Week Ending Describes the duration of sales
Promotion Price Promotional price of one unit
no Sold by Promo Number of units sold during promotional period
Quality Perception by
customer Describes the quality rating given by the customer
Service Describes the service rating
Time Describes the time rating
Image Describes the image rating
Relation Describes the relation
Total Sales Describes the total sales i.e Unit price * Units Sold
6. Methodology
The following methodologies were used to carry out the MIS research:
FIELD STUDY – Researcher does not manipulate any independent variables,
The dependent variables are systematically measured.
The study is conducted in a natural setting using human subjects and responses. Some
examples are quality, service etc.
GROUP FEEDBACK ANALYSIS – Groups of human subjects complete an objective instrument for
testing of the researcher’s initial hypothesis. Following the statistical
analysis of the collected data, the data and the analysis are discussed
with the subject group to obtain their subjective evaluation.
Pivot tables - were used to analyse the data.
- A pivot-table can automatically sort, count, total or give
the average of the data stored in one table or
spreadsheet.
- It displays the results in a second table (called a "pivot
table") showing the summarized data. Pivot tables are
also useful for quickly creating unweighted cross
tabulations.
19. SWOT Analysis
Strengths
•Highest revenue margin
products performing well
(PC’s).
• Customer focused
organization.
Weakness
• Weak performing regions.
• Lack of qualified staff in
the west and north.
• All stores not strategically
aligned.
•Weak product positioning.
•Weak brand presence.
Opportunities
• Partnerships with other
companies.
• Adopting new technology.
•Introducing new products.
• Introducing cost effective
HW.
Threats
• Lack of technology savvy
population.
• Competitors.
• Natural disasters in west
(Floods).
•Stagnant economic outlook.
20. Recommendations
1. Open one more branch in east as there is opportunity for more business.
2. Set up road shows in the regions that are not performing as well.
3. Carry out education programs (via Media etc) to educate population on technology.
4. Our cash cows are the desktops therefore there is a need to target schools.
5. Diversification - as technology changes rapidly and desktops could become
obsolete in the near future.
6. Invest into new technology like laptops, tablets etc.
7. Build partnerships with communications company like Vodafone and
TFL where our products could be bundled with internet packages
and create more value.
8. Revise pricing strategy for low performing computer peripherals.
21. Recommendation – Operational Efficiency
•EOQ – Economic Order Quantity is the determination of economic order quantity that will minimize total
inventory cost.
•Continuous Order Model – works on fixed order quantity where a fixed quantity is released once inventory
levels reach a defined safety level. Triggers are used to determine the replenishment time.
•Periodic System Model – This model is based on ordering inventory after a fixed period of time.
Where :
D = Annual demand
S = Ordering cost
C = Carrying cost
23. Conclusion
It can be concluded that Desktop CPU is the best selling item, while Store 6
is the best performing store, with East being the most successful region.
December is considered as the best period and this could be attributed to
festive season sales.
The general imagine of the company is low and needs to be strengthened.
Furthermore, the business needs to develop a long term strategic plan
which includes diversification, adopting new technology, creating new
business partnerships etc.
24. Reference
Logistics Bureau, 2012, Procurement and Strategic Sourcing Services,
viewed 7 December 2012,
http://www.logisticsbureau.com/
Management Study guide,2012, Inventory Planning – Basic Concepts,
viewed 6 December 2012,
http://www.managementstudyguide.com/inventory-planning.htm
Notes de l'éditeur
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