class 3 - managing and using data

8/19/2019 Class 3 - Managing and Using Data

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Chapter 3Managing and using data

BUSI 2400 – Class #3


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Agenda

Class businessLecture - Chapter 3Clicer #2

Brea

Cre! Challenge #2 – Big dataClicer #3A "uic l at the $nal SA %r&at

' 20() - *ilcher+ S&ith+ ,irdan .ile/ Class #3 Chapter 3 - 2


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Class Business

MS Access is aailable ndrea&spar1Carletn1ca supprt

▪ M/sel% r As

&ails prcedures 5er/ i&prtant t &e

Lab 6ui7

All Lab 6ui77es pen Mnda/ 8a&+ clse9p& the %ll!ing Mnda/



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Class BusinessSlides he class slides !ill be released be%re uesda/ 8:30a& class▪ Slides psted b/ uesda/ 8:30a& are $nal

▪ &ds a%ter that

;u can call &e Al

▪ ;r an/thing else /u lie ' 20() - *ilcher+ S&ith+ ,irdan .ile/ Class #3 Chapter 3 - 4


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Upc&ing &pl/er ents %rStudents Interested in IS

' 20() - *ilcher+ S&ith+ ,irdan .ile/ Class #3 Chapter 3 - )

COMPANY Date, Time

ricssn Uniersit/ ?a/ Sept (9+ (2 nn t 4:30@anata

C&&unicatins Securit/stablish&ent

Sept (9+ )- p&

Dast nterprises Sept 2(+ :30-8:30 p&

Canada ,eenue Agenc/ Sept 22+ (2 nn;ct 9 @Sprtt speci$c+ ti&e B?

inaEis Sept 22+ -9:30 p&Sept 24+ ((:30 – (p&

IBM Sept 23+ ((:30 - (

Aecn ;ct (+ -9 p&

Visit mySuccess for registration and more information

n echnlg/ Apprenticeship *rgra& @Dr 4th /ears ne!gradshttp:FF!!!1cra-arc1gc1caFappsFcareersFeEternalFenglishF20()-242-G6

H20-000(-4(33-tice1ht&l

http://www.cra-arc.gc.ca/apps/careers/external/english/2015-2426-HQ%20-0001-4133-Notice.htmlhttp://www.cra-arc.gc.ca/apps/careers/external/english/2015-2426-HQ%20-0001-4133-Notice.htmlhttp://www.cra-arc.gc.ca/apps/careers/external/english/2015-2426-HQ%20-0001-4133-Notice.htmlhttp://www.cra-arc.gc.ca/apps/careers/external/english/2015-2426-HQ%20-0001-4133-Notice.htmlhttp://www.cra-arc.gc.ca/apps/careers/external/english/2015-2426-HQ%20-0001-4133-Notice.htmlhttp://www.cra-arc.gc.ca/apps/careers/external/english/2015-2426-HQ%20-0001-4133-Notice.htmlhttp://www.cra-arc.gc.ca/apps/careers/external/english/2015-2426-HQ%20-0001-4133-Notice.html


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his chapter=s 4 targets

( ?ata+ in%r&atin+ andn!ledge

2 ?ecisin &aing and

prble& sling3 ?atabases4 Business intelligence

' 20() - *ilcher+ S&ith+ ,irdan .ile/ Class #3 Chapter 3 -


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(1 ,e-Cap @%r& !ee (

?ata ,a! %acts that describe a particular phen&enn

In%r&atin ?ata that hae a particular &eaning !ithin a speci$c

cnteEt n!ledge

he applicatin % in%r&atin t eEtraplatin int the%uture



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>u=e learned that data istrans%r&ed int in%r&atin+ andin%r&atin is trans%r&ed int

n!ledge

n!ledge .r Actiities Creating business alue %r the

rgani7atin



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n!ledge .r Actiities

' 20() - *ilcher+ S&ith+ ,irdan .ile/ Class #3 Chapter 3 - J

Context@*rble&+ Issue+ r

;pprtunit/

Digure 31(


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CnteEt @this starts the .As

his is the tas+ prble&+ issue rpprtunit/ that &ust be assessed1 Ea&ples:

▪

Sales Manager: ?eelp a reprt %r /ur 5*% Mareting n reginal sales per%r&ance1

▪ *rduct Manager: ?e$ne %unctinalFbusinessre"uire&ents %r design tea&1

▪

ntrepreneur: ?eelp $e /ear prKectins%r /ur startup business plan1

' 20() - *ilcher+ S&ith+ ,irdan .ile/ Class #3 Chapter 3 - (0


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?iscer/

Is the $nding % data+ in%r&atinand n!ledge releant t a tas+prble&+ issue r pprtunit/

his is the cnteEt

>u begin !ith an idea % !hat tl %r

,eect n !here the in%r&atin&a/ eEist

hen retriee releant data %r&

arius surces' 20() - *ilcher+ S&ith+ ,irdan .ile/ Class #3 Chapter 3 - ((


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Anal/sis▪ Breaing d!n the !hle int its &re

discrete parts t better understand h! it!rs

▪ Gelps /u ans!er "uestins and gainunderstanding thrugh a thught%ul

inestigatin and eEa&inatin % theaailable data and in%r&atin

▪

t/&lg/▪ he !rd analysis c&es %r& analyein+ !hich is Nree %runlsen+ r t Ot brea up1P



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rans%r&atin

Is n!ledge !r that re"uires /u tuse the results % /ur anal/sis tdeepen /ur understanding % the dataand in%r&atin

?ata is %ten trans%r&ed▪ Classi$ed+ rgani7ed

▪ Su&&ari7ed

▪ ,epresented graphicall/+ isuall/

▪ ranslated int lcal standards and nr&s@eurs t C? dllars



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S/nthesis All!s /u t interpret trends r patterns that

see& t eEplain the past and the present+ and&a/ suggest curses % actin t %arabl/inuence the %uture

n!ing !hich parts+ !hen c&bined+ !ill

create higher ttal alue % the partsthe&seles

▪

t/&lg/▪ he !rd synthesis c&es %r& suntithenai+ !hich is Nree %rPplace tgetherQ1



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C&&unicatin

he abilit/ t share /ur anal/sis+ ideas+and slutins !ith thers

Nd ideas c&&unicated prl/ areideas that are %ten erled▪ &atter h! gd the/ areR

,elate &aterial t cnteEt+ n! /ur

audience+ and hae the& appreciate thesigni$cance % the issue /ur areproviding a solution for1

' 20() - *ilcher+ S&ith+ ,irdan .ile/ Class #3 Chapter 3 - ()


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,e-Cap @n!ledge .r Actiit/

' 20() - *ilcher+ S&ith+ ,irdan .ile/ (

Knoledge !or"A#tivity

Manager$s %e&uest

?iscer/ Dind !eel/ sales data

Anal/sis C&pare sales data %r the $rst!ee % Ma/ t si&ilar data %r&

the preius t! &nths

rans%r&atin Identi%/ an/ trends in the data b/!ee+ &nth+ and da/ % the !ee

S/nthesis Nien anal/sis % relatie successr %ailure+ suggest !a/s t

capitali7e n strengths anderc&e !eanesses

C&&unicatin *resent $ndings and suggestinst &anage&ent

able 31(

CnteEt: Sales Manager: ?eelp a reprt %r /ur 5* % Mareting nreginal sales per%r&ance1


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Anal/sis inles breaing d!n the

prble& his %ten inles using &dels and

%ra&e!rs▪

Neneral▪ S.; @Strength+ .eaness+ ;pprtunit/+ hreat

▪ *S @*litical+ cn&ics+ Scial+ echnical

▪ M;S @&issin+ bKecties+ strateg/+ tactics

▪ .hat !e=ll cered in ur class

▪ ** @peple+ prcess+ and technlg/

▪ *rters ) %rces

▪ I*; @input+ prcess+ utput

▪ ) .Ts plus an G

▪ C1I1A1 @Cn$dentialit/+ Integrit/+ and Aailabilit/

S/nthesi7ing is building up a' 20() - *ilcher+ S&ith+ ,irdan .ile/ Class #3 Chapter 3 - (9

,e-Cap @.A

i i i d bl


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21 ?ecisin &aing and prble&sling

Be%re discussing eectie decisin&aing+ !e need t agree n !hat adecisin is1

A rational decision is a chice that /u&ae abut !hat actins /u !ill tae@r nt tae in a gien situatin a%teranal/sing the cnse"uences % each

ptin1;%ten+ ratinal decisin &aing ccurs as

part % a larger prble&-sling prcess1



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/pes % decisins

Structured Algrith&ic @ A E B F C !here A+ B C are

all n!n "uantities V veriable result

ransactinal decisins - HST on a purchase

Unstructured ;pen a ne! stre Launch a ne! prduct

Gire a ne! CI;

Can nl/ be accuratel/ assessed after the

fact Semi-structured le&ents % bth – nvestment decision

' 20() - *ilcher+ S&ith+ ,irdan .ile/ .ee 3 Chapter 3 - (J


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&ae the best decisin+ /u &ust care%ull/cnsider the !uality of the data" information" and#no$ledge1 Increasingl/+ this re"uires $isdom1

?uring the anal/sis stage+ /u srt+ trans%r&+

and rganise the data t discer a%ordance &hat can this data tell me'

he "ualit/ % the $nal utput % this prcess @thedecisin r slutin !ill be based n the "ualit/

% the inputs @the in%r&atin /u create and theanal/sis /u d1 (()*

he purpse % decisin &aing is either t solvea problem r t ta#e advantage of an opportunity 1

he prcess



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Leels % decisin – thin !ar

Strategic Gighest leel – Neneral sa/s :P.e &ust tae that

hillRQ)perational Maes pssible the strategic – P.e=ll need (00

sldiers and (0 tans and ) &rtars and 3 A*Cs1QTactical he inter%ace !ith the ene&/ – PSplit the sldiers

int t! grups1 Send )0 t the bac % the hill

!ith the &rtars1 Bring ) tans in %r& each an1Send )0 sldiers up the hill in the A*Cs nce thetans and &rtars hae disbursed the ene&/resistance1Q

' 20() - *ilcher+ S&ith+ ,irdan .ile/ Class #3 Chapter 3 - 2(

an a us ness ec s ns / u /


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he ratinalit/ % indiiduals is 'ounded(li&ited b/ cgnitie li&itatins+ li&ited ti&e@budget+ and li&ited access t in%r&atin some problems remain uncertain" no matter ho$

much e%ort you put into gathering informationR

Satis$cing – Satis$cing is a decisin-&aingstrateg/ that entails searching thrugh theaailable alternaties until an acceptabilit/

threshld is &et1 +ecision ma#ers rarely have enough time" access toinformation" nor cognitive capacity to ma#e a,perfect decision. BUT - /asier access to moreinformation and more processing assistance 0 canincrease this ,threshold*

an a us ness ec s ns / u /ratinalBounded 1ationality and Satiscing


Gerbert Si&n@(J(-200(


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*re-A&ble %r ?atabases

Data'ase – rgani7ed cllectin % datathat %acilitates data strage+ search andretrieal

▪ A user needn=t be cncerned abut !here the data is

stred n the strage deice

)preadsheet – cntainer and tl %reas/ &anipulatin+ calculatin andanal/sis % data▪ Als n!n as at $le strage

23' 20() - *ilcher+ S&ith+ ,irdan .ile/


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All business in%r&atin s/ste&s rel/n the use and strage % data1

he pri&ar/ technlg/ used t

stre+ &anage+ and all! e


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,elatinal databasecharacteristics

Tables2 Are &ade up % r!s called records

Must hae a uni"ue $eld !hich describes eachrecrd1 his uni"ue $eld is called a primary #ey 1 It

cannt be blan1 Are cnnected t each ther using a c&&n $eld1

he pri&ar/ e/ in ne relatin is called the foreign#ey in the relatin t !hich it is Kined1

A user needn=t be cncerned abut!here the data is stred n the stragedeice1

' 20() - *ilcher+ S&ith+ ,irdan .ile/ Class #3 Chapter 3 - 2)


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?atabases: ,edundant data

Sa&e data culd eEist in &ultiple lcatins

' 20() - *ilcher+ S&ith+ ,irdan .ile/ .ee 3 Chapter 3 - 2


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?atabases: ,edundant data

String redundant data can cause e3ciency andintegrity prble&s

1edundant data

Sa&e data stred &re than nce in the sa&e table

Sa&e data stred &re than nce in dierenttablesFdatabases

ntegrity problems

Updates and deletins can cause data t be

incnsistent r lst @update and deletion anomalies

/3ciency problems

Etra prcessing is re"uired t ensure data integrity



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?atabases: Ea&ine this spreadsheet

@Dr&: *eter ,b and Carls Crnel+ P?atabase S/ste&s: ?esign I&ple&entatin+ andManage&ent 2009



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Update an&alies;ccur !hen an update causes

incnsistencies in stred data .hat i% Leah Gahn=s phne nu&ber changes

(1 Are there redundanc/ issues !ith data in thistable

21 Are there ptential integrit/ issues

' 20() - *ilcher+ S&ith+ ,irdan .ile/ Class #3 Chapter 3 - 2J


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?eletin an&al/ Cnsider the %ll!ing scenari using the table

bel! Assu&e A&/ ;=Brian=s agent=s na&e is Whn ;n and Whn nl/ has ne cust&er

hen Whn gets $red and is deleted %r& the database1 4

.hat happens t ur n!ledge % A&/ ;=Brian- Is in%r&atin lst



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,elatinal database design

*rper relatinal database design eli&inates

redundant data It=s achieed b/: ?istributing data int separate tables

Creating relatinships bet!een tables▪ nabled b/ primary and foreign #eys

' 20() - *ilcher+ S&ith+ ,irdan .ile/ Class #3 Chapter 3 - 3(


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?atabase r&ali7atin


Data'ase normali*ation is the pro#ess of

organi*ing the elds and ta'les of a relationaldata'ase to minimi*e redundan#y


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4 Business


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41 BusinessIntelligence

' 20() - *ilcher+ S&ith+ ,irdan .ile/

-

Class #2 Chapter 2 - 34


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Business intelligence - BI A prcess %r gaining c&petitie adantage

thrugh the intelligent use % data andin%r&atin in decisin &aing

A business there%re needs t cllectin%r&atin abut their enirn&ent and its

per%r&ance !ithin it+ and the Pabilit/Q @r sillt &ae use % this in%r&atin t psitin itsel%%r greater per%r&ance @i&pre decisin&aing+ change behair+ etc

enable businesses t reach intelligentdecisins+ data and in%r&atin &ust g thrughseeral stages1

' 20() - *ilcher+ S&ith+ ,irdan .ile/ Class #3 Chapter 3 - 3)


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n!ledge Manage&ent S/ste&s


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;% the three in%r&atinal resurcesXdata+

in%r&atin+ and #no$ledge8#no$ledge is the mostdi3cult to share and store1

/9plicit #no$ledge includes an/thing that can be !rittend!n+ stred+ and cdi$ed @e1g1+ business plans+ patents

and trade&ars+ and &aret research1 Tacit #no$ledge includes the n!-h! that peple hae

thrugh learning and eEperience+ !hich is di


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? Be%re eEt Class

Lab #3 @A2 – ?e%eating redundanc/ %rging relatinships Lab ide #3 – Access 2

▪ 22:)9 &inutes

Lab ide #3 – Access #2 - slides

Lab "ui7 #3 - Access 2 6ui7 alread/ pened @Mnda/ 8a&

Clses Sept 28th @9:00a&

▪ Lab 6ui7 #3 @A2 - Access



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eEt !ee

Chapter 9 – -business

! Cre! Challenges CC3 CC4

Ecellence scaleR▪

here culd be up t &ars %r grabs %r s&etea&sR

Y Be pr%essinal+ Be creatie

Y Lead ur cust&er thrugha e/ pint in theirdeelp&ent

Y US stu %r& this curse+sh! /u can appl/ it

class 3 - managing and using data

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