1. Unit 5 Data Modelling
A1 STAGES IN THE DECISION-MAKING PROCESS
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2. This section covers :
1. Understanding the scenario.
2. Identifying information and sources.
3. Factors affecting the quality of information.
4. Analysing the information.
5. Identifying alternatives.
6. Identifying consequences of implementing the alternatives.
7. Making a decision.
8. Justifying the decision.
9. Communicating decision(s) to others
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3. Understanding the scenario.
A scenario describes a situation where a problem exists that needs to be
addressed. It will include some details on the problem, a required
solution and a time frame.
Most scenarios are incomplete. This may not be deliberate, but due to a
lack of information, or a lack of clarity on the required solution.
A key skill in developing a solution is Systems Analysis. This can be
summarised as:
Identifying what is currently done
How the task is currently done
What the problem is
What is the proposed logical solution
What is the proposed physical solution
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4. Identifying information and sources.
Information required
Information that is already available
Additional information needed
Sources of additional information
Requirements for verifying the information sources.
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5. Factors affecting the quality of information.
Currency - time sensitivity of the data
On August 1st 2021 the price of Gold was £1306.08 per oz.
On July 1st 2021 the price of Gold was £1296.27 per oz
On June 1st 2021 the price of Gold was £1348.96 per oz
This asset price is governed by pure supply and demand (excluding
speculation).
Consider the implication of buying and selling items at different
prices if you use the wrong purchase and sale price figures.
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6. Factors affecting the quality of information.
Accuracy
1) Accuracy relates to the difference between the data used and
the actual data.
If the data used is 14, 18, 23 and the real data is 11, 15, 20 the data being
used is inaccurate. In this example it is consistently inaccurate, all values
are 3 more than they should be.
If we look at data being used as 7.2, 12, 14.4 when the real data is 6, 10,
12 the data is consistently inaccurate by 20% over actual.
These 2 cases can be rectified mathematically by reversing the
discrepancy.
If the values are different by a varying margin, this is unable to be
rectified.
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7. Factors affecting the quality of information.
Accuracy
2) Precision is how “precise” the data is – the number of
significant digits.
As an example a tray of 24 tins is purchased for £37.50 which gives a price
per can of £1.5625.
If we use a mark-up of 20% the selling price per tin is £1.875.
Precise, (and accurate), but of no real-world use.
Scientific notation, e.g. 2.563 *10^6 is really 2563000 are the last 3 digits
really all 0? This can result in approximation, but on certain values this is
acceptable.
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8. Factors affecting the quality of information.
External factors
SWOT analysis.
Strengths and Weaknesses are internal, you can control.
Opportunities and Threats are external, you have no control.
Consider each of the following and how they can have an impact:
Government changes a rate of tax (NI, VAT, Income Tax)
You import/export goods and are unable to do so (9/11 grounded all flights
for an extended period, the current Pandemic)
Exchange rates move up/down
Asset values change due to changes in demand.
Health and Safety legislation changes
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9. Analysing the data.
Data is the values in the spreadsheet, Information has context.
Looking at the data in context:
What can we see at the current time?
What trends are there ?
Can we identify e.g. the good and weak sales and is there a reason?
Is it best displayed as numbers, or graphically?
Does statistical analysis show anything
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10. Identifying alternatives.
In programming we have different PARADIGMS
Object oriented, Structures, visual etc
Each results in a different approach to the task.
What different alternatives are there in spreadsheets
Organisation of the spreadsheet
“efficiency” of calculations
Data entry by “keyboard”, dropdown or slider.
Internal/External access to data
Each different point you consider could generate an alternative
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11. Identifying consequences of
implementing the alternatives.
Each alternative will have its own benefits and drawbacks
This is about identifying the differences of each alternative
You must compare like to like, so the list of points is the same
What is the degree of difference
Is 2 days significant on a 6 month contract?
Is £150 significant on a £5000 contract
Each point could have a variance – difference from that of the others
Here you are only identifying the consequences
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12. Making a decision.
Decisions have to be based on justification of a number of points.
What are the key points,
How do they apply to each alternative
How do you “score” them to identify the best to worst.
Consider how I could put each of you in order of “best” to “worst”
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13. Making/Justifying the decision.
The decision you make could be challenged – WHY do this?
What data are you working with
What options were considered?
For each option what were the characteristics you considered
How were these weighted
How did you come up with the weightings
What was the ranking of “best” to “worst”
If yours isn’t “best” Why
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14. Assessment note
GENERALLY
Gathering the data and explaining it equates to PASS criteria
Comparing or Analysing data equates to Merit criteria
Evaluation of options and justification equates to Distinction criteria
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15. Communicating decision(s) to others
It is unusual for you to be the sole member of the team
Your colleagues need to know what is happening
Plans for all to follow
Understanding of individual roles and deadlines
You work with a team leader who holds responsibility
Needs to know what is going on, and when, and by whom
Your work is for a client
Who needs to be kept informed of progress and problems
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16. Task
This link opens a Moodle task.
There is insufficient detail to produce a “solution”.
Using the previous work, identify, using the 9 points, what further
information you need to be able to address all of the points
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Editor's Notes
A presentation as part of the BTEC Level 3 IT qualification. This is for Unit 5 Data Modelling , and deals with Learning aim A section 1 The stages in the decision making process.
There are 9 sections to this although 7, Making a decision and 8 Justifying a decision are linked and dealt with as a single item.
Information Required
When the “process has a problem”, what data is being processed, where does it come from, how is it processed and what is the problem? These are repeated in most programming type scenarios, weather it is spreadsheets, databases, or programming languages.
For the information required you have to consider
Information already available. What is it, where does it come from and how reliable is it? Remember at this point we are looking at the process as a whole, and the how of processing is needed as well as the what is processed.
There may be an existing operational specification that identifies what the data is and where it comes from coupled with how it is processed. This documentation Review should clarify the existing data and process
Additional information needed / Sources of additional information
If you identify something is missing in understanding the existing system or what is required in the “new” system, where is it available from?
Looking at the paperwork as above is a good start, but you may need to ask users what they are doing as well as watching what they do. Do the users understand what they are doing and why they are doing it the way they are?
It may be that part of the “new” system is only with the managers and is an idea. Does this make sense with the existing ways of working, does it require a new way of working or is there scope for discussion over the how of the new system.
Requirements for veryifying the information sources
Everyone uses Google. This is not a verifiable source.
Look at Official documents such as the annual report and accounts if it is relevant
Review the operations manuals etc that may indicate a specific process in the organisation has to be done in a certain way (think chemicals and adding them in the wrong order) Changing the control flow may have unforeseen consequences.
When the “process has a problem”, what data is being processed, where does it come from and how is it processed and what is the problem?.