ContentsIntroduction............................................................................................................. 23.1 & 3.2 Produce graphs using spread sheets and draw valid conclusions based on the information derived. Create trend lines in spread sheet graphs to assist in forecasting for specifed business information...............33.3 Prepare a business presentation using suitable software and techniques to disseminate information eectivel!.........................................113." Produce a formal business report...............................................................12".1 #se appropriate information processing tools..........................................17".2 Prepare a pro$ect plan for an activit! and determine the critical path 20".3 #se fnancial tools for decision%ma&ing......................................................22Conclusion.............................................................................................................. 261 | P a g eIntroductionIn order to enhance the competitive advantages of Highlands Cofee in HoChi inh Cit! over other competitors" the report #ill sho# some informationthat might help the compan! $nd o%t appropriate strateg! to maintain theirposition in mar&et. 't the $rst tas& is the forecasting techni(%e" #hich sho#svario%s #a! to calc%late the act%al sales of the )an& in the f%t%re" and thensho# the formal report for the *ales director. In the ne+t tas& in the reports"there is the information processing tools #hich sho#s the decision level andinformation t!pes ineachdepartment andtherecommendationfor thesoft#are for each part of department. In the third tas&" the pro,ect planninghave )een sho# the #a! to prepare the sched%le the n%m)er of emplo!eesho%ldhaveinthispro,ect. Inthelast tas&" it istheeval%ationof t#opro,ects - .Pro,ect 1/ and .Pro,ect 2/. 0he calc%lation and recommendation ofthe s%ita)le pro,ect are provide in the end of the report.2 | P a g e3.1& 3.2 Produce graphs using spread sheets and draw validconclusions based on the information derived. Create trendlines in spread sheet graphs to assist in forecasting forspecified business information0he data sales of Highland Cofee from 2011 to 20112340005'ear (1 (2 (3 ("2011 60 76 77 1072012 107 86 87 1272013 137 67 68 1102011 176 107 117 177)*)+,486 368 375 5452011 2012 2013 201160107137176768667107778768117107127110177-ighland Coee sales91 92 93 910he col%mn chart sho#s the reven%e of each (%arter in last 1 !ear4s sales ofHighland Cofee from 2011 to 2011. 's #e can see from the chart" the trendin general #ere %p#ard.In 2.11" Highland Cofee had the lo#est reven%e #ith 3186.000 in total. 0hesales #as 360.000 at the (%arter 1. Ho#ever" there #as a (%ic& decreasefrom360.000to376.000atthe(%arter2" anditcontin%o%sl!decreasedslightl! a)o%t 377.000 at the ne+t (%arter" )%t the trend #as changed #henthe sales #ent %p dramaticall! 3107.000 at the last (%arter.In 2.12" the sales #as achieved 3107.000 at the $rst (%arter. It fell sharpl!to 386.000 at the (%arter 2" and the trend contin%ed #ent do#n steadil! to3 | P a g ealmost 387.000 %ntil the (%arter 3. Ho#ever" at the last (%arter" the reven%e#ent %p signi$cantl! aro%nd 3127.000.In 2.13" the sales of the formal (%arter #as 3137.000. Ho#ever" in the ne+t(%arter" the reven%e fell dramaticall! 367.000" )%t at the (%arter 3 the salesrose again to 368.000 and thenit contin%ed #ent %p3110.000 at the (%arter1.In 2.1"" Highland Cofee have the highest sales in total #ith 3717.000. 0hesales #as 3176.000 at the (%arter 1. Ho#ever" the sales #ent do#n (%ic&l!3107.000 than the ne+t (%arter. :! contrast" the sales rose slightl!3117.000at the (%arter 3" and it is contin%ed #ent %p dramaticall! 3177.000 at the(%arter 1. ,east /quares 0egression 1ethod20hismethod providesa techni(%eforestimatingthe e(%ationofa line of)est $t the e(%ation of a straight line has the form ; < a = )>" 2> and ; arerelated varia)les5?here@> is the independent varia)le ; is the dependent varia)lea is the intercept of the line on the vertical a+is) is the gradient of the line.?here n is the n%m)er of pairs of data2:PP" 2010" pages 1615Year Quarter Quarter No Y '000X Y 3' X^2 Y^22011Q1 0 90 0 0 8100Q2 1 79 76 1 6211Q3 2 75 170 1 7627Q4 3 105 317 6 110272012Q1 4 105 120 16 11027Q2 5 89 117 27 7621Q3 6 87 722 36 7766Q4 7 125 877 16 176272013Q1 8 135 1080 61 18227Q2 9 95 877 81 6027Q3 10 98 680 100 6601Q4 11 140 1710 121 166001 | P a g e2014Q1 12 156 1872 111 21336Q2 13 105 1367 166 11027Q3 14 115 1610 166 13227Q4 15 175 2627 227 30627 0A0'B 120 1771 11733 1210208766a = ybxn=79.375b = nxyxynx2(x)2=4.2The trend line is Y(T) = 79.375 + 4.2X,east square regression )rend0 2 1 6 8 10 12021681012f2+5 < CD < 0,east /(#+04 04504//I*6 )0467; E000 Binear 2; E0005'+is 0itle'+is 0itle8orecast for 2.19 b! least square methodYear QuarterQuarterNo Y (Trend) '0002014 Q4 15 142.3752015Q1 16 146.575Q2 17 150.7757 | P a g eQ3 18 154.975Q4 19 159.175)*)+, 611.5000 2 1 6 8 10 12 11 16 18 20020106080100120110160180200,ast !ears: sales of-ighland Coee *ales0rendForcast 2017(uarter 6o./ales amount ;:...