Cost analysis

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Cost Analysis

Yale Braunstein

School of Information

1

How does this course differ from all other project-related courses at the i-School?

• We explicitly look at alternatives.

• We care about economic feasibility.

• [others ?]

2

Why do we want to know costs?

• We need to measure and understand costs

– To help the organization

• Operate efficiently & effectively

• Allocate scarce resources

• Choose between competing projects

– To meet legal & organizational requirements

3

General introduction to our approach

• Identify opportunities & alternatives for meeting them

• Agree on selection/evaluation criteria

• Apply the criteria

• Make choices/decisions and monitor results

A nine-step, more detailed approach is on the web and in the handout. A complete manual is available in the computer lab.

4

Special problems with new technologies

• New technologies, in general, and IT, in particular, often cause problems

– Exact costs are unknown/unknowable

– Only some benefits are quantifiable

– New technology projects can change the organization, its outputs, etc.

5

Making sense of costs

• Costs vary with level of output

– Therefore, we focus on fixed and variable costs

• Costs vary over time

– Therefore, we “discount” future costs back to the present

• Costs can vary with technology and market conditions

– Therefore, we distinguish between the shortand long-run

6

Costing terms

• Costs are misleadingly concrete. It is important to understand:

– Fixed, variable & total costs

– Opportunity costs (what really matters)

– Sunk costs (what is past is past)

– Marginal or incremental costs (the “true” cost of producing the next unit of output)

– Joint costs (with multiple outputs)

– Allocated vs. out-of-pocket costs (accountants & economists view costs very differently)

• Consistency is VERY important

7

Costs depend on your perspective

• Department costs vs. project costs

• Current costs vs. future costs; upfront costs vs. continuing costs; etc.

– (More on this later)

• For public projects: CTA, CTG, CTN

8

Costs vs. Prices

• We need to distinguish between costs and prices

– Proposed fees for “extra” units at UC, CSU

– DSL (component-by-component)

• “Fully distributed costs” or “allocated costs” are very popular and can easily mislead

– The leased-line anecdote…a true story of faulty economic logic in a major university

9

Where to Get Cost Information

• Statistical studies

• Engineering studies

– Simulations

– Bills of Materials

• Comparables

– Case studies

– Previous experience (at your organization & elsewhere)

10

Additional considerations

• We do a sensitivity analysis to identify those factors that have the major impacts on costs

• Try to understand the issues relating to economies of scale and scope.

– Computer automation in publishing example

– See Morton * :

• IT potentially increases productivity by lowering transaction costs… if you reorganize work.

* Michael Scott Morton, “How Information Technologies can

Transform Organizations,” in Rob Kling, Editor,

Computerization and Controversy (San Diego: Academic Press

1996) 148-160.

11

Cost-benefit analysis

• We distinguish between cost-benefit analysis and cost-effectiveness analysis

– In CBA, both costs and benefits are measured in dollars

– In CEA, only the costs are measured in dollars; we use non-monetary measures for the benefits

• Examples: increased reliability, reduced lag times

12

Time value of money

• General rules:

– Dollars spent at different times have different costs to the organization

– Dollars received at different times have different values to the organization

– Therefore, we need to explicitly account for timing of cash flows (in & out)

• We “discount” future flows to the present to obtain their “present value”

13

Calculating PVs

PV

CF

0

(1

CF

1

 r)

(1

CF

2

 r)

2

...

(1

CF n

 r) n

Logic:

• Take each year’s cash flow and “discount” it back to the present using the “discount rate”

• See spreadsheet with examples

14

Three ways to compare projects

• Payback period – NEVER use this

• Internal rate of return – very common, but has problems

– One: assumption about re-investment

– Two: multiple solutions possible

– Three: ( most important ) can lead to incorrect choices with MX projects

• Net present value – the preferred approach

15

Review: General principles

1. Focus on total costs OR incremental costs, whichever is appropriate

Are we introducing something entirely new or a change in an existing system?

2. Comparability of data is important

• Timing matters

Have similar start & end points

3. Know what is in and what is out

16

Using the principles

• Sunk costs are sunk – ignore them

• You need to know the purpose of the analysis

– Planning for the future vs. benchmarking current operations

• Forecasting & Projections

– Know what is changing

17

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