RMG 300 Lecture Notes - Lecture 3: Audit Trail, Cash Register, Granularity

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WEEK 3
LECTURE 3
Chapter 10 ERP
Decisions What’s Needed to Make a Decision?
Every business activity is involved in making a decision
Time is needed to make a decision
Choices are needed to make a decision
o In order to have choices we need data
o Data raw facts
You need something to compare it to (context) context turns data into information
No ou’e got our information, so you need to turn it into wisdom which turns
information into knowledge
Example
o Data: we just sold a white blouse, style 130 size 10
o Context: we have been selling a lot of this style in the past week and our inventory is low
o Wisdo/Eperiee: its the ed of the seaso so e do’t order aore ut o e ko for
next season
Data is the Basic Building Block
Fine details
Needed for the big picture
Where does data come from? And How do we Collect it?
o Transactions some exchange between 2 people (ex: a business and a person). Something
happens, and something comes back
Example of a transaction: a sale
TPS: Transaction Processing System
Bus Event/Transaction TPS (Detailed Reports) Org Database
In any data there is the first part which is the TPS
TPS first looks at that transaction
o Ex: cash register deals w/ a transaction when you buy item of clothing
Deals w/ price, employee ID
Once all that info is satisfied then it moves on to the larger system
TPS looks at the validity of the data
Org. Database
o Want to make sure info is stored securely
o No overlapping updates
o Protection from failures want to make sure system can recover
TPS processes for:
o Accuracy of data
o Ability to cancel
o Audit trail
It’s like a gatea, esures eerthig is good/solid/aurate as the data flos to
the rest of these systems
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Document Summary

Decisions what"s needed to make a decision: every business activity is involved in making a decision, time is needed to make a decision, choices are needed to make a decision. And how do we collect it: transactions some exchange between 2 people (ex: a business and a person). Something happens, and something comes back: example of a transaction: a sale. Bus event/transaction tps (detailed reports) org database. Database: want to make sure info is stored securely, no overlapping updates, protection from failures want to make sure system can recover, tps processes for, accuracy of data, ability to cancel, audit trail. It"s like a gate(cid:449)a(cid:455), e(cid:374)sures e(cid:448)er(cid:455)thi(cid:374)g is good/solid/a(cid:272)(cid:272)urate as the data flo(cid:449)s to the rest of these systems. Fais: functional area info systems: accounting, finance, hr, production/ops, marketing, all consist of, strategic, tactical and operational areas, re(cid:373)e(cid:373)(cid:271)er (cid:449)e (cid:272)a(cid:374)"t (cid:373)ake a(cid:374)(cid:455) i(cid:374)for(cid:373)atio(cid:374) (cid:449)ithout data. Granularity of data: transactions, collections of very detailed (fine) data, cannot see the big picture.

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