MNCSIB002+SBYNTO004_BI Project(WA4)

8/12/2019 MNCSIB002+SBYNTO004_BI Project(WA4)

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IBM COGNOS AND

QLIKVIEW ANALYSISGO Sports and QlikInsure Performance Analysis

Presented by Sibonisile Mncube & Ntombi Sibiya


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Contents1. Introduction ........................................................................................................................................ 4

1.1 Company background ............................................................................................................... 4

1.2 Report overview ........................................................................................................................ 4

2 .1 Performance Analysis: Revenue ....................................................................................................... 5

2.1.1 Revenue for United Kingdom, Central Europe and Global Revenue ......................................... 5

2.1.2 Performance Analysis: Profitability Margin ......................................................................... 11

2.2. Performance Analysis: Top and Bottom Performing Product Categories ................................. 12

2.2.1 Top Five Performing Products Categories ............................................................................... 12

2.2.2 Bottom Product Categories.................................................................................................. 13

2.2.3 Performance Analysis: Top Product Group by Quantity .............................................................. 14

2.2.3.1 Top Product Group Quarterly ............................................................................................... 14

2.4. Ranked Table by Retailer Type ....................................................................................................... 17

5.4.1 Revenue by Retailer Type ................................................................................................... 17

2.5 Retailer Type over Four Year Period ........................................................................................... 18

2. 6. Target Sales VS Actual Sales ...................................................................................................... 19

2. 6.1 Target Sales VS Actual Sales 2004 ....................................................................................... 19

2.6.2 Target sales vs. Actual Sales 2005 ........................................................................................ 20

2.6.3 Target sales vs. Actual Sales 2006 ........................................................................................ 21

2.6.4 Target sales vs. Actual Sales 2007 ....................................................................................... 22

2.7 2007 Revenue Forecast ............................................................................................................... 23

2.8 Sales Rep Radar Chart. ................................................................................................................ 24

2.9. Sales reps % gross profit each month........................................................................................... 25

QlikInsure Report .................................................................................................................................. 27

A Summary of Craig Larys high key Totals for Polices and Claims................................................... 28

Craig Larys Polices by different Factors........................................................................................... 31

Policy with the Most Claims on it? .................................................................................................... 34

Major differences in Polices and Claims- Broker or Direct ............................................................... 35

Product Region/Country with Highest Average Premium ................................................................ 37

Age Group with Highest Average Claim ............................................................................................ 38

Claims by Months.............................................................................................................................. 40

Overall Opinion on Craig Larys Performance................................................................................... 42

What are the functionalities of QlikView and how do these functionalities serve the business

needs of someone carrying out an analysis? .................................................................................... 43


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Section C ............................................................................................................................................... 45

Criteria for Choosing a Business Intelligence Tool? .......................................................................... 45

Role Played by Team Members in this Project ................................................................................. 45


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1. Introduction

1.1 Company background

Go Sports Performance Report.

Go Company is a retail company which is in the retail clothing industry; Go Sports has divisions all

over the globe. It sells different outdoor products namely camping equipment, golf equipment,

personal accessories, outdoor protection and mountaineering equipment.

Great Outdoors is a manufacturer and distributor of branded products, which presently

operates across five Sales Regions (Americas, Asia Pacific, Central Europe, Northern

Europe and Southern Europe), which are divided into a number of Countries. Each country

has one or more Sales Representatives (Reps) operating from one or more Cities.

GO sell their Products through Eight different Retailer Types (Department Stores, Direct Marketing,

Equipment Rental Stores, Eyewear Stores, Golf Shops, Outdoors Shops, Sports Stores, and

Warehouse Stores). Each type of retailer has many different companies and brands, which may have

stores in more than one place or site.

1.2 Report overview

This report will look at two Business Intelligence tools, which are Cognos and Qlickview. The aim of

this report is to illustrate how the two Business Intelligence tools work and how they can also be

used in organizations to turn data into information and compile reports based on evidence .This

report will look at two companies, which are Go Sports and QlickInsurance . The authors of this

report have used Cognos and QlikView to analyse data.


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2 .1 Performance Analysis: Revenue

2.1.1 Revenue for United Kingdom, Central Europe and Global RevenueBelow are graphs illustrating the sales of the five product groups from 2004-2007, the graphs below

show the sales in the United Kingdom as well as the sales in the region.

A comparison and analysis of the sales will be provided below.

Revenue 2004

2004

Camping Equipment 21,900,369.59Golf Equipment 10,228,785.33

Outdoor Protection 2,539,795.51

Personal Accessories 23,617,508.51

0.00

5,000,000.00

10,000,000.00

15,000,000.00

20,000,000.00

25,000,000.00

AxisTitle

UK Revenue in 2004


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The three graphs shown above illustrate the UK sales, regional sales and the global sales. The buying

trend is similar in both graphs .The product group with the less sales in all three graphs is Outdoor

Protection, and the product group with the highest sales on all graphs is Personal Accessories on all

graphs .In all three graphs, no sales were made for Mountaineering Equipment. This is a concern

since quantity was produced; as a result of this the company suffered a loss.

2004

Camping Equipment 71,622,086.50

Golf Equioment 32,302,354.20


Personal Activities 90,899,441.49

Mountaineering Equipment

0.00

10,000,000.00

20,000,000.00

30,000,000.00

40,000,000.00

50,000,000.00

60,000,000.0070,000,000.00

80,000,000.00

90,000,000.00

100,000,000.00

Revenue

Region Sales 2004

2004

Capming Equipment 332,986,338.06

Golf Equipment 153,553,850.98




0.00

50,000,000.00

100,000,000.00

150,000,000.00

200,000,000.00

250,000,000.00

300,000,000.00

350,000,000.00

400,000,000.00

450,000,000.00

Revenue

Global Sales 2004


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In 2005, Mountaineering Equipment sales in UK, the region and globally picked up .However sales

for outdoor protection plummeted. The product with the highest sales on all the graphs is personal

accessories.

Revenue 2006

2005





Mountaineering Equipment 107,099,659.94

0.0050,000,000.00

100,000,000.00150,000,000.00200,000,000.00250,000,000.00300,000,000.00350,000,000.00400,000,000.00450,000,000.00500,000,000.00

Revenue

Global Sales 2005

2006

camping equipment 27,416,497.12


outdoor protection 608,022.09


Mountaineering

Equipment8,719,712.86

0.00

5,000,000.0010,000,000.00

15,000,000.00

20,000,000.00

25,000,000.00

30,000,000.00

35,000,000.00

40,000,000.00

Revenue

UK Revenue 2006


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In 2006, we see a decrease in all product groups sales, Personal accessories still have the highest

sales. Outdoor protection has decreased even further. Mountaineering Equipment is slowly

increasing.

2006





Mountaineering


0.0020,000,000.0040,000,000.0060,000,000.0080,000,000.00

100,000,000.00120,000,000.00140,000,000.00160,000,000.00

Revenue

Region Sales 2006

2006





Mountaineering

Equipment161,039,823.26

0.00100,000,000.00200,000,000.00300,000,000.00400,000,000.00500,000,000.00600,000,000.00700,000,000.00

Revenue

Global Sales 2006


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Revenue 2007

2007



Outdoor Equipment 252,182.85

Outdoor protection 26,166,483.63


0.00

5,000,000.00

10,000,000.00

15,000,000.00

20,000,000.00

25,000,000.00

30,000,000.00

Revenue

UK Revenue in 2007

2007



Outdoor Protection 984,535.72



0.00

20,000,000.00

40,000,000.00

60,000,000.00

80,000,000.00

100,000,000.00

120,000,000.00

Revenue

Region Sales 2007


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In 2007, the sales across all product groups went down, outdoor protection sales were less than a

million Pounds. The decrease in sale can be attributed to the financial crisis of 2007 in Europe.

2.1.2 Performance Analysis: Profitability Margin

The table above shows the revenue for UK, Central Europe and GO Sport as a whole. The table also

shows the UK revenue contribution .The product group which had revenue in the highest in the UK,

Central Europe and GO sports as a whole is Personal Accessories while the product with the lowest

revenue in the UK ,Central Europe and Go sports as a whole is Mountaineering Equipment .

2007

Camping Equipmment 352,910,329.97





0.0050,000,000.00

100,000,000.00150,000,000.00200,000,000.00250,000,000.00300,000,000.00350,000,000.00

400,000,000.00450,000,000.00500,000,000.00

Revenue

Global Sales 2007

Revenue % Revenue Contribution

Product Group United Kingdom Central Europe Go UK vs. Region UK vs. GO

Camping Equipment 94 360 558.13 343 645 848.36 1 589 036 664.03 27.5 28.0

Golf Equipment 42 955 563.43 153 632 833.39 726 411 367.89 28.0 29.0

Outdoor Protection 5 070 232.30 17 488 870.77 75 994 296.25 29.0 25.7

Personal Accessories 112 217 455.87 437 336 485.23 1 885 673 307.78 25.7 26.0

Mountaineering Equipment 22 905 736.83 88 051 532.89 409 660 132.90 26.0 26.0

Profit Margin % Column3 Column2 Column1Product Group United Central GO


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The table on the left

shows the profit margin in

the UK, Central Europe

and GO sports as a whole.

The product group with

the highest profit margin is Outdoor Protection and the product group with the lowest profit margin

is Mountaineering Equipment.

2.2. Performance Analysis: Top and Bottom Performing Product Categories

2.2.1 Top Five Performing Products Categories

Product Categories

Revenue

Eyewear 867,125,198.48

Tents 528,221,728.02 The graph above shows the topfive product categories.

Watches 526,802,374.59

Packs 351,880,402.84

Woods 313,898,414.65

Kingdom Europe

Camping Equipment 36.9% 37.0% 36.9%

Golf Equipment 48.3% 48.5% 48.5%

Outdoor Protection 60.2% 60.3% 60.5%

Personal Accessories 40.9% 41.3% 41.2%

MountaineeringEquipment

39.9% 39.9% 39.9%

Revenue

Eyewear 867125198.5

Tents 528221728

Watches 526802374.6

Packs 351880402.8

Woods 313898414.7

0.00100,000,000.00200,000,000.00300,000,000.00400,000,000.00500,000,000.00600,000,000.00700,000,000.00800,000,000.00900,000,000.00

1,000,000,000.00

Revenue

TOP PERFOMING PRODUCT

CATEGORIES


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Subtotal (included) 2,587,928,118.58

Products 4,686,775,768.85

2.2.2 Bottom Product Categories


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The graph above shows Personal Accessories in 2004 from the first quarter to the last quarter. The

products increased from quarter one to quarter two.

In 2005, the quantity sold increased in the second and third quarter. However it decreased In the

last quarter.

Personal Accessories

2004 Q1 13,635,701.93

2004 Q2 14,664,467.59

2004 Q3 14,913,655.66

2004 Q4 15,072,633.76

12,500,000.00

13,000,000.00

13,500,000.00

14,000,000.0014,500,000.00

15,000,000.00

15,500,000.00

Product

s

Personal Accessories 2004 Quartely


2005 Q1 16,930,331.93

2005 Q2 17,605,056.36

2005 Q3 17,706,834.62

2005 Q4 17,178,380.66

16,400,000.00

16,600,000.00

16,800,000.00

17,000,000.0017,200,000.00

17,400,000.00

17,600,000.00

17,800,000.00

Produc

ts



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In 2006, there was a decrease in quantity sold in the second and third quarter. In the last quarter

there was an increase.

In 2007, the quantity sold was high in the first and the second quarter. However, in the third quarter

there was a dramatic decrease.

PersonalAccessories

2006 Q1 21,279,085.33

2006 Q2 21,159,699.84

2006 Q3 20,503,210.89

2006 Q4 21,978,829.61

19,500,000.00

20,000,000.00

20,500,000.00

21,000,000.0021,500,000.00

22,000,000.00

22,500,000.00

Product

s



2007 Q1 27,309,158.78

2007 Q2 28,008,824.90

2007 Q3 9,563,674.70

2007 Q4

0.00

5,000,000.00

10,000,000.00

15,000,000.00

20,000,000.00

25,000,000.00

30,000,000.00

Products



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2.4. Ranked Table by Retailer Type

5.4.1 Revenue by Retailer Type

Revenue France GermanyUnitedKingdom Switzerland Belgium Central Europe

Outdoortore 6 143 188.19 13 200 394.54 29 189 449.21 2 146 512.95 3 697 895.36 50679544.89

Rank 3 2 1 5 4

ports Store 3 665 280.01 19 108 577.53 7 325 282.28 1 000 439.35 899 445.52 31099579.17

Rank 3 1 2 4 5

Departmenttore 5 281 659.52 3 569 570.46 1 681 140.42 1 304 771.72 2 763 493.20 11837142.12

Rank 1 2 3 5 4

Golf Store 2 212 053.54 21 443 955.27 5 107 379.40 2 053 886.70 7 589 369.05 30817274.91

Rank 4 1 3 5 2

Warehouse

tore 15 174 461.99 164 425.18 10 116 221.01 2 881 755.76 1 777 363.05 28336863.94

Rank 1 5 2 3 4

quipmenttore 3 145 681.81 4 882 102.95 4 915 838.94 2 391 708.70 2 652 322.32 15335332.4

Rank 3 2 1 5 4

yeweartore 2 498 607.65 5 691 683.60 2 007 182.95 1 896 501.55 2 897 525.32 12093975.75

Rank 3 1 4 5 2

DirectMarketing 2 322 388.16 18 377 571.66 8 590 388.61 5 230 640.86 3 257 841.34 34520989.29

Rank 5 1 2 3 4

Retailor 40 443 320.87 86 438 281.19 68 932 882.82 18 906 217.59 214 720 702.47

The table above shows the Revenue by retailer type in each of the countries within the Central

Europe Region. The ranked table above also shows how each retailer type is ranked. Retailer types

are not doing well in Switzerland, as Switzerland has the lowest revenue in all retailer types when

compared to all the other countries.


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2.5 Retailer Type over Four Year Period

2004 2005 2006 2007

Smith's Chemists 2,909,025.74 1,857,994.73 6,625,015.20 4,767,020.47

Stock & Save 1,184,575.15 653,030.01 2,490,635.17 1,837,605.16

Leisure Land 1,422,864.44 789,329.17 3,001,522.78 2,212,193.61

Campland Limited 2,160,472.85 1,704,593.68 5,569,660.21 3,865,066.53

Ike's Sports and Leisure 811,751.21 690,910.00 1,502,661.21 1,502,661.21

Sports Scene 9,368,420.37 886,945.00 10,255,365.37 10,255,365.37

Beck's Sports Store 619,913.01 592,220.71 1,804,354.43 1,212,133.72

Breathe Free ltd 203,571.95 184,472.15 572,516.25 388,044.10

Total Sports 5,429,557.68 4,612,014.99 14,653,587.66 10,041,572.67

Percy's Irons 1,172,492.82 724,410.86 2,507,021.63 1,896,903.68

Seamate Chandlers 1,000,135.59 690,910.28 2,381,956.15 1,691,045.87

Hurst Ironmongers 1,333,383.62 886,945.42 3,107,274.46 2,220,329.04

0.00

2,000,000.00

4,000,000.00

6,000,000.00

8,000,000.00

10,000,000.00

12,000,000.0014,000,000.00

16,000,000.00

Revenue

Retailor Type Peformance Over The Four Year Period


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2. 6. Target Sales VS Actual Sales

Below are graphs and tables showing UKs total target sales and total actual sales for each year.

2. 6.1 Target Sales VS Actual Sales 2004

2004






0.005,000,000.00

10,000,000.0015,000,000.0020,000,000.0025,000,000.0030,000,000.00

Revenue

UK Planned Revenue 2004


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The above graphs show the actual revenue and planned revenue in the UK. It is important to note

GO sports only missed the planned revenue by plus or minus a million pounds across all product

groups.

2.6.2 Target sales vs. Actual Sales 2005

2004





0.005,000,000.00

10,000,000.0015,000,000.0020,000,000.00

25,000,000.00

REVENU

E

UK Actual Revenue 2004

2005





Mountaineering

Equipment

6,515,313.69

0.005,000,000.00

10,000,000.0015,000,000.0020,000,000.0025,000,000.0030,000,000.00



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In UK in 2005, GO sports did not meet its target revenue, however the difference between the target

revenue and the actual revenue is only a few hundred thousand pounds across all products groups

expect for camping equipment where the difference is over two million pounds for camping

equipment. This is better when compared to 2004 actual and target sales where difference was by

plus or minus a million pounds.

2.6.3 Target sales vs. Actual Sales 2006

2005

Camping Equipment 24,460,943.71Golf Equipment 10,039,050.23




0.00

5,000,000.00

10,000,000.00

15,000,000.00

20,000,000.00

25,000,000.00

30,000,000.00

REVENUE


2006





Mountaineering


0.005,000,000.00

10,000,000.0015,000,000.0020,000,000.0025,000,000.00

30,000,000.0035,000,000.0040,000,000.00

Revenu

e



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In 2007, planned revenue and actual revenue decreased. Outdoor protection actual revenue was

only over two hundred and fifty thousand pounds.

The three biggest differences from the above graphs

1. In 2006, the difference between planned and actual revenue for camping equipment was a

little over two million pounds.

2. The increase in planned and actual revenue for mountaineering equipment in 2005.

3. The dramatic decrease in 2007 for both planned and actual revenue sales for outdoorprotection. In 2007, outdoor protection sales were less than five hundred thousand pounds.

2.7 2007 Revenue Forecast

2007






0.00

5,000,000.00

10,000,000.00

15,000,000.00

20,000,000.00

25,000,000.00

30,000,000.00

REVENUE


Monthly Revenues 2007

Month camping equipment Golf EquipmentOutdoorEquipment

PersonalAccessories


Jan 2 673 962.34 1 417 974.94 34 523.81 3 299 971.14 1 082 439.40

Feb 2 631 837.96 1 740 096.18 32 772.58 3 699 200.98 1 054 680.14

Mar 3 161 212.98 1 407 100.66 38 274.25 3 780 478.01 1 254 633.41

Apr 3 196 854.50 1 297 192.15 35 448.15 3 495 346.39 1 140 090.93

may 2 977 554.71 3 867 285.29 1 154 410.69 1 301 422.66 36 606.82

Jun 2 780 475.42 1 284 495.90 34 529.22 4 295 287.91 1 111 824.16

Jul 3 160 849.80 1 404 100.38 40 028.02 3 728 913.91 1 229 782.59

Aug 3 165 899.80 1 462 100.00 50 987 658 3 256 913.56 1 220 782.57

Sep 3 555 985.36 1 298 268 42 268.36 3 00 697.56 1 00 698.28

Oct 2 987 265 .00 1 220 985.00 40 598. 98 2 685 922.84 936 985.63

Nov 1 298 287.00 1 000 6987.36 30 879. 36 2 685 369.05 600 387.00

Dec 900 268 .00 1 097 698 2674.36 20 028.00 2 900 585.36 200 874.00


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The table above shows the 2007 monthly revenues. Based on the revenue patterns shown above, a

forecast for the months between August and December has been provided. The forecast is based on

seasonal changes as well as the financial crisis of 2007/08.

In October Camping Equipment, Outdoor Protection and Mountaineering Equipment revenues are

more likely to decrease. This is because of the weather conditions. In November and December, Golf

equipment revenue is more likely to go up because of the Festive Season; people are more likely to

buy Golf Equipment and Personal Accessories as gifts.

2.8 Sales Rep Radar Chart.

The Table below shows Sales Representative in Southampton revenues.

Revenue CampingEquipment

Golf Equipment OutdoorProtection

PersonalAccessories


Products

004 Telford 625,781.77 24,487.58 74,098.96 67,426.18 791,794.49

005 Telford 528,448.28 36,080.13 27,692.30 592,220.71

006 Telford 316,633.51 47,552.47 39,450.77 403,636.75

007 Telford 252,895.88 36,320.38 29,210.52 318,426.78

Time Telford 1,723,759.44 24,487.58 194,051.94 163,779.77 2,106,078.73

0.00

200,000.00

400,000.00

600,000.00

800,000.002004

2005

2006

2007

Sales Rep Revenue: Telford

Camping Equipment

Golf Equipment

Outdoor Protection




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2.9. Sales reps% gross profit each month

2004

/Jan

2004

/Feb

2004

/Mar

2004

/Apr

2004/Ma

y

2004

/Jun

2004

/Jul

2004

/Aug

2004

/Sep

2004

/Oct

2004

/Nov

2004

/Dec

Camping Equipment 42.4%28.8%30.7%30.7%35.3%44.2%32.1%30.9%36.2%31.0%28.9%34.1%

Outdoor Protection 51.2% 44.3%

Outdoor Protection 63.5% 64.1% 59.4% 52.8% 62.3% 61.0% 58.3% 40.3%

Personal Accessories 30.1% 39.5% 35.7% 29.2% 28.2% 32.1% 29.2% 49.7% 29.2% 39.5%


0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

Profit%

Sales Rep Monthly Profit For 2004

200

5/Ja

n

200

5/Fe

b

200

5/M

ar

200

5/A

pr

200

5/M

ay

200

5/Ju

n

200

5/Ju

l

200

5/A

ug

200

5/Se

p

200

5/O

ct

200

5/N

ov

200

5/D

ec

Camping Equipment 32.4%31.9%31.2%31.0%34.2%48.5%32.1%33.2%41.9%29.9%28.2%35.8%40.4%

Golf Equipment

Personal Accessories 61.0% 64.4%60.3%52.8%63.1% 59.9% 51.5%63.8%

Personal Accessories 39.9%30.2%37.4% 9.6%28.7%33.2% 7.8%30.2% 0 30.2%Mountaineering Equipment

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

Profit%

Sales Rep Monthly Profit 2005


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2006/

Jan

2006/

Feb

2006/

Mar

2006/

Apr

2006/

May

2006/

Jun

2006/

Jul

2006/

Aug

2006/

Sep

2006/

Oct

2006/

Nov

2006/

DecCamping Equipment 40.4% 31.6% 31.4% 35.4% 34.7% 43.5% 40.8% 43.1% 38.8% 31.4% 29.0% 31.7%

Golf Equipment

Outdoor Protection 63.8% 65.9% 64.0% 60.8% 64.5% 63.8% 59.1% 65.0% 42.0% 63.7% 58.9%

Personal Accessories 30.2% 37.2% 50.8% 30.2% 39.3% 57.7%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

Profit%

Sales Rep Monthly Gross Profit 2006

2007

/Jan

2007

/Feb

2007

/Mar

2007

/Apr

2007

/May

2007

/Jun

2007

/Jul

2007

/Aug

2007

/Sep

2007

/Oct

2007

/Nov

2007

/Dec

Camping Equipment 35.8% 30.9% 37.0% 31.9% 41.3% 39.6% 38.3%

Golf Equipment

Outdoor Protection 62.9% 64.3% 61.9% 63.1% 61.9% 62.9% 51.4%

Personal Accessories 42.9% 50.8% 34.7%


0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

Profit%

Sales Rep Monthly Gross Profit


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QlikInsure Report

QlikInsure is a company that sells insurance. They have five types of products (insurance)

which are as follows:

1. Expat Saver

2. Fleet Secure

3. Life Plan

4. Medical Plan

5. Traveller

The five products which have been listed above are classified into four lines of business, and

these are as follows:

1. Commercial Line

2. Health Line

3. Life Line

4. Personal Line

The five insurance products which have been listed above have administrative offices by

product region, which is either the United Kingdom or global. The following reported hasbeen done through the use of a Business Intelligence tool called QlikView. This tool is used

by QlikInsure to trace product performance, sales and people. The following report looks at

QlikInsure overall and Craig Lary, a sales representative at QlikInsure. This report will mostly

compare overall QlikInsure policies or claims with Craigs policies or c laims.


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Figure 1.2 shows the overall polices sold by QlikInsure and it should be noted that the key

high level total in this case is similar to those of Craig, as it can be seen in the graph above.

The Life Plan policy is the top performing one at 65.15%. There is only a 0.3 percentage

difference in polices sold by Craig Larry and QlikInsure Overall. This can be said to indicate

that Craig Lary is not slacking in his performance and that his contribution to this company is

indeed valuable. The company has sold 42038 policies and the premuim amount is 562 035

238.

Figure 1.3 Graph showing Claims by Craig Lary (Sales Rep)

0100000000200000000300000000400000000

500000000600000000700000000800000000

Fleet SecureLife PlanMedical PlanExpat SaverTraveller

UK UK UK Global Global Total

Policies 88 42038 7554 9094 5750 64524

Policies (%) 0.14% 65.15% 11.71% 14.09% 8.91% 100.00%

Premium Amount 386,938 562,035,2238,627,47586,511,13353,753,084741,313,85

Premium (%) 0.05% 75.82% 5.21% 11.67% 7.25% 100.00%

QlikInsure Policies

Policies Policies (%) Premium Amount Premium (%)

0

500,000

1,000,000

1,500,0002,000,000

2,500,000

Expat

Saver

Life Plan Medical

Plan

Traveller Total

Claims Paid 118,246 1,851,852 653 43,442 2,014,194

Claims Paid % 5.87% 91.94% 0.03% 2.16% 100.00%

Volumes 546 2,733 7 157 3,443

Volumes % 15.86% 79.38% 0.20% 4.56% 100.00%

Claims- Craig Lary

Claims Paid Claims Paid % Volumes Volumes %


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Figure 1.4: Graph showing overall QlikInsure claims

It should be noted that a similar trend can be identified in the percentage of claims paid for

both Craig Lary and QlikInsure overall to the extent that their high level totals are also in the

life plan policy. QlikInsure had overall claims of 87.70%, and Craig Lary on the other hand

had a percentage of 91.94% claims. This indicates a percentage difference of 4.24%, which is

different from the lesser percentage difference in polices of 0.33% which has been noted

above. QlikInsure has 176 166 policy holders who claimed for life insurance, and Craig Laryon the other hand had 2,733.

Expat

Saver

Fleet

Secure

Life

Plan

Medical

Plan

Travelle

r- Total

Claims Paid 10,799,36 645 109,494,0 1,007,450 3,551,093 355 124,852,9

Claims Paid % 8.65% 0.00% 87.70% 0.81% 2.84% 0.00% 100.00%

Volumes 29,939 21 176,166 2,179 11,668 1 219,974

Volumes % 13.61% 0.01% 80.08% 0.99% 5.30% 0.00% 100.00%

020,000,00040,000,00060,000,00080,000,000

100,000,000120,000,000140,000,000

QlikInsure Claims



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Craig Larys Polices by different Factors

2. The following figures illustrate how Craig Larys policies are split by factors such as

gender, age and whether policy holder have used brokers or direct methods of policy

subscription.

Figure 2.0: Graph showing overall QlikInsure polices by gender

Figure 2.1: Graph showing Craig Larys policies by Gender

43%

57%

Policies by Gender (QlikInsure-Overall)

Female Male


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Figure 2.0 and 2.1 show policies by gender for QlikInsure and Craig Lary (a QlikInusre

employee) respectively. It should be noted that both these figures show that there are more

women insured using this policy than men. This could be due to the fact that there are

generally more female than male people. The amount of male people ensured by QlikInsure

is 43%, and Craig Larys policies are at 41%. This shows only a 2% difference in the

percentage of male clients between QlikInsure overall and one of their sales rep, Craig Lary.

Figure 2.2: Graph showing Criag Larys policies (Broker or Direct)

41%

59%

Policies by Gender (Craig Lary)

Female Male

18%

82%

Policies by Broker of Direct (Craig Lary)

Broker Direct


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Figure2.3: Graph showing overall QlikInsure policies( Direct or Broker)

Looking at figure 2.2 and 2.3, it should be noted that these figures show policies of

QlikInsure and the sales representative Craig by gender. The percentage difference between

QlikInsure and Craig Lary is 2%, like it is the case with policies by gender.

Figure 2.4: Graph showing QlikInsure Average Claim amount by Age

Figure 2.5: Graph showing Craig Larys Average Claim by Age

20%

80%

Policies by Broker or Direct( QlikInsure)

Broker Direct

0

100

200

300

400

500

600

700

1 2 3 4 5 6 7 8 9 10

Age Band 10 20 30 40 50 60 70 80 90 100

Avg. Claims 544 221 219 315 423 520 608 644 533 74

Ave Claim Amount by Age Band( QlikInsure)

Age Band Avg. Claims


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Figure 3.0: Graph showing QlikInsure policy claims

Major differences in Polices and Claims- Broker or Direct

4. There are more policies that have come via direct than brokers. It should be noted

that the average invoice amount of direct claims was 47 units more than that of

claims made via brokers.

Figure 4.0: Graph showing policies by Broker

020,000,00040,000,00060,000,00080,000,000

100,000,000120,000,000140,000,000

Expat

Saver

Fleet

Secure

Life

Plan

Medic

al Plan

Travell

er

- Total

Claims Paid 10,799,3 645 109,494,1 ,007,45 3,551,09 355 124,852,

Claims Paid % 8.65% 0.00% 87.70% 0.81% 2.84% 0.00% 100.00%

Volumes 29,939 21 176,166 2,179 11,668 1 219,974

Volumes % 13.61% 0.01% 80.08% 0.99% 5.30% 0.00% 100.00%

QlikInsure Policy Claims



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Figure 4.1: Graph showing policies by direct contact

4 (a) Brokers that have provided policies with the highest average premium amount were

Co-operative brokers with an average premium of 15, 061, followed by Willis brokers with

an average premium amount of 13, 428 and the third highest is XL Brokers 12, 1075.

(b)Willis Brokers

0

1,000

2,000

3,000

4,000

5,000

6,000

Life Plan Traveller Expat Saver Medical

Plan

Fleet

Secure

Policies 5,925 3,177 3,084 623 10

Broker Policies

0

5,000

10,000

15,000

20,000

25,000

30,000

35,000

40,000

Life Plan Medical

Plan

Expat

Saver

Traveller Fleet

Secure

Policies 36,113 6,931 6,010 2,573 78

Direct Policies


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(c) The lowest average invoice amount received is 2390 by XL Brokers, 363 by Willis and E-

cover with 575.

Product Region/Country with Highest Average Premium

5. Figure 5.0: Graph showing overall highest average premiums for cancelled policies

The United Kingdom has the highest average premuim for cancelled policies under Craig

Lary at 66.46% for Life Insurance. A similar trend can be seen in QlikInsure as a whole, with a

average premuim percentage of 64.18% in UK for the same same product. The percentage

difference in this case is not more than 3%.

0500000

100000015000002000000250000030000003500000400000045000005000000



Policies 3 313 70 96 60 542

Policies (%) 0.55% 57.75% 12.92% 17.71% 11.07% 100.00%

Premium Amount 15,085 3,103,882 378,426 712,983 459,596 4,669,972

Premium (%) 0.32% 66.46% 8.10% 15.27% 9.84% 100.00%

Highest Average Premuim (Criag Lary)



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Figure 5.1: Graph showing overall highest average premiums for cancelled policies-

QlikInsure

Age Group with Highest Average Claim

6. The age group in which the average claim amount is the highest is 70 to 80, as it can

be seen in figure 6.0 below.

Figure 6.0: Graph showing lowest to highest average claim amount

050000000

100000000150000000200000000250000000300000000



Policies 76 19644 4492 6034 3538 33784

Policies (%) 0.22% 58.15% 13.30% 17.86% 10.47% 100.00%

Premium Amount 361,004 188,044,7130,323,18543,647,19030,633,698293,009,79

Premium (%) 0.12% 64.18% 10.35% 14.90% 10.45% 100.00%

QlikInsure Average Premuim



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Claims by Months

7. The following figures show claims which were paid by month from the year 2005 to

2007. It should be noted that QlikInsure has five products, but there are only four

figures below which represent each of the products offered. The fifth product, which

is fleet secure is not available in this claims section because there were no claims

made for this product and therefore no claims paid. It should be noted that on

average, claims paid are usually at optimum round the month of January, and this

usually goes down by the month of March. Please study the following graphs.

Figure 7.0: Graph showing life plan claims paid

0.00

20,000.00

40,000.00

60,000.00

80,000.00

100,000.00

120,000.00

140,000.00

160,000.00

180,000.00

200,000.00

Jan-2004 May-2005 Oct-2006 Feb-2008 Jul-2009

Life Plan Claims Paid

Claims Paid ()


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Figure 7.3: Graph showing Traveller Claims Paid from 2005 to 2007

Overall Opinion on Craig Larys Performance

8. Graig Lary has about 464 live policies. This can be said to be above average

performance because one of the sales reps with the highest live policy has about 518

live policies (Amanda Honda). The one sales rep with relatively lower live polices is

Cart Lynch, with only 459 live policies. It should be noted that in comparison with

QlikInsure overall, Craige Larys performance can be said to be on par. This was

noted above when we looked at the life plan policy.There was only a 0.3 percentage

difference in polices sold by Craig Larry and QlikInsure Overall. It should be noted

therefore that Craig Lary has added valuable contribution to the company.

0

50

100

150

200

250

300

350

0 0.5 1 1.5 2 2.5 3 3.5 4 4.5

Medical Plan Claims Paid

Series1 Series2

0

5,000

10,000

15,000

20,000

25,000

30,000

0 2 4 6 8 10 12 14 16 18

Traveller Claims Paid

No. of Claims


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What are the functionalities of QlikView and how do these functionalities

serve the business needs of someone carrying out an analysis?

Qlikviews functionalities allow you to turn data into information by giving you an option to

export data into an excel spreadsheet. Using the excel spreadsheet therefore, you can then

turn unusable data into graphs that enable us to understand what is going on in a specific

area of the business. This functionality is really important to someone trying to understand

what is going on in a business or a person who is trying to carry out an analysis. Data can be

turned into usable information fairly easy because the software has features that allow you

to transfer data into an excel spreadsheet for example, something that people in a business

environment are familiar with. This, as a result allows people to manipulate this data and

focus on the areas they want to raise or want to analyse in this business. Carrying out this

operation is relatively easy because the software gives you an option to send the

information to an excel spreadsheet, something that business people are familiar with. The

outputs can also be rated as very satisfactory due to the fact that the person doing the

analysis is able to look/ analyse information at different angles, which gives him/her the

flexibility to study given information and come up with sound conclusions which are based

on visible facts.

The QlikView software also allows for unrestricted analysis of application data. For example

in compiling this report, the authors were able to look at different factors like

policies/claims by gender and age. The authors were able to do this in a few seconds

without being limited by the capacity of the software to process information. The software

allows the person conducting the analysis to look at information from many different angles

without the software being overloaded. This is a very useful function because when doing

an analysis, it is important for one to look at information at different angels in order to

reach a solid conclusion based on facts. Carrying out this operation is very easy because as

you use the software, you are able to digest data more easily and you get familiarized with

how the software works and the kind of data it provides.

Lastly, when you click, for example on UK, this will reflect on other tabs as well. The user

does not have to do different clicks on the different tabs for the specific results they are

looking for to show. The authors of this report found this functionality to be very useful in


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analysing information given because it saved time and left very little room for confusion. As

a result therefore, the authors were able to compile this report. It should be noted that

using this operation is fairly simple because once you click, for example on UK, the clicked

item turns green in all tabs to help guide you throughout the analysis. The outputs of this

can be said to be very good because once again, very little room is left for confusion.


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Section C

Criteria for Choosing a Business Intelligence Tool?

1. Innovation- this relates to technology, methodology and so on. The question one

should ask is whether the Business Intelligence approach has used an innovative

solution. For QlikView, it can be said that this software deserves a 7 out of 10 for

innovation. This is because the software is fairly advanced and easy to use, allowing

both the old and conservative and the young and free the opportunity to use this

product (software).

2. Business Impact- this relates to the business value of the BI initiative, does thisinitiative add value to the business? Looking at QlikView once again, an 8 out of 10

in the context of the questions that have been addressed in this report would be

more appropriate. Having used Qlikview, QlikInsure can now be able to know whichsales representative is performing less or more than others on average. This has

great business impact because those doing well can be noted and may be rewarded,

while those who are not doing well may be encouraged to work harder.

3. Relevance- this relates to the business intelligence solution having good practices

that can be used by other companies. It should be noted that a 7 out of 10 is more

appropriate in this case. This is because the software can only be relevant to

companies that do more or less what QlikInsure does, which is selling insurance

policies and related field. It should be noted however that the solution offered by

QlikView does have good practices which can be used by other companies.

Role Played by Team Members in this Project

1. Team members divided up the questions for Cognos and they extracted data

accordingly. This process took very long (about 8 hours), as both team members

were not familiar with the software.2. Team members then decided that one would focus on Cognos(Sibonisile Mncube)

and the other one would focus on QlickView (Ntombi Sibiya). Although team

members decided to each work on the different software, they knew what the other

one was doing and therefore got quite familiar with the other software, even though

they were not entirely involved with both.

3. Sibonisile had a problem with question 4. This is because the region which was given

to the team was the United Kingdom and she had countries like Switzerland,

Belguim, France and Germany. These countries data was written in countries

respective languages and as a result, Sibonisile found it difficult to interpret the data.


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4. Ntombi looked at QlikView and she experienced a number of setbacks, particularly in

question 7 and 5.

5. Both team members have worked equally hard in compiling this report and they

both hope that the reader will be able to read and understand the knowledge shared

in this report.

Documents

MNCSIB002+SBYNTO004_BI Project(WA4)