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© Quantitative Software Management, Inc. Sizing and Estimating ERP Sizing and Estimating ERP Implementations Implementations Donald M. Beckett Donald M. Beckett Quantitative Software Management, Inc. Quantitative Software Management, Inc. 2000 Corporate Ridge, Suite 900 2000 Corporate Ridge, Suite 900 Mclean, VA 22102 Mclean, VA 22102 Tel: 703 790 Tel: 703 790 - - 0055, Fax 703 749 0055, Fax 703 749 - - 3795 3795 Email: [email protected] Email: [email protected] Web: www.qsm.com Web: www.qsm.com

Beckett Sizing and Estimating ERP Implementations 1

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  • Quantitative Software Management, Inc.

    Sizing and Estimating ERP Sizing and Estimating ERP ImplementationsImplementations

    Donald M. BeckettDonald M. BeckettQuantitative Software Management, Inc.Quantitative Software Management, Inc.

    2000 Corporate Ridge, Suite 9002000 Corporate Ridge, Suite 900Mclean, VA 22102Mclean, VA 22102

    Tel: 703 790Tel: 703 790--0055, Fax 703 7490055, Fax 703 749--37953795Email: [email protected] Email: [email protected] Web: www.qsm.comWeb: www.qsm.com

  • Quantitative Software Management, Inc. #2

    Objectives

    Provide conference attendees with a practical method for estimating the project size of ERP implementations that is both easy to learn and apply

    Compare the behavior of ERP implementations to other business IT projects Size vs. Schedule Size vs. Effort

  • Quantitative Software Management, Inc. #3

    Outline

    Key differentiators between ERP implementations and software development

    Sizing ERP implementations RICEF objects Configuration items Normalizing to a common metric

    Estimating ERP implementations

  • Quantitative Software Management, Inc. #4

    Quotations

    Perfection is the enemy of the possible- Voltaire (paraphrased)

    Precision is not accuracy- William Horton

  • Quantitative Software Management, Inc. #5

    Key Differentiators

    Software projects create code Develop new systems Modify existing systems Are measured (sized) by the functionality they

    deliver and/or the code they create Software projects may Develop interfaces Have hardware, network, telecom components Convert data Have system setup and configuration

  • Quantitative Software Management, Inc. #6

    Key Differentiators

    ERP Implementations have Significant system setup & configuration Hardware, network, & telecom components

    ERP Implementations may Develop interfaces Convert data Create additional functionality Modify existing functionality

  • Quantitative Software Management, Inc. #7

    Sizing ERP Implementations

    ERP Implementation size: two components Configurations Customizations

    Configurations include parameters, properties, rules, values, table setup

    Customizations are principally code Proportions vary between projects ERP sizing must consider both

  • Quantitative Software Management, Inc. #8

    Configurations

    Estimate the number of configuration items (by category & complexity) Best case, worst case, most likely scenarios

    Normalize them to a common elementary unit (using gearing factors)

  • Quantitative Software Management, Inc. #9

    ConfigurationExample: Tables

    Average table has 3 indices to define 20 columns to define 20 data types (one per column)

    Average table (in this example) requires 43 elementary activities (or implementation units) to create Gearing factor of 43

  • Quantitative Software Management, Inc. #10

    Customizations

    RICEF objects: Reports, Interfaces,Conversions, Enhancements, Forms

    Estimate counts of each item (by complexity)

    Normalize them to a common elementary unit (using gearing factors)

    Add to normalized configuration items count for an estimated project size

  • Quantitative Software Management, Inc. #11

    Sample Gearing Factor Table: RICEF Objects

    Component GearingFactor Number SizeSimpleReports 100 10 1000AverageReports 200 5 1000ComplexReports 300 20 6000SimpleInterfaces 320 2 640AverageInterfaces 620 12 7440ComplexInterfaces 1520 1 1520SimpleConversion 100 2 200AverageConversions 200 5 1000ComplexConversions 300 2 600SimpleEnhancements 100 2 200AverageEnhancements 500 1 500ComplexEnhancements 1000 3 3000SimpleForms 100 2 200AverageForms 200 15 3000ComplexForms 300 3 900

    Total 27,200

  • Quantitative Software Management, Inc. #12

    But, Does it Work?

    Step 1: Size completed ERP implementations using configuration items and RICEF objects

    Step 2: Compare trends for Effort, Schedule, Staffing, and Productivity to trends for Business IT projects (non-ERP)

  • Quantitative Software Management, Inc. #13

    ScheduleSchedule vs Size

    1 10 100 1,000Size (thousands)

    0.1

    1

    10

    100M

    onths

    All Sy stems Av g. Line Sty le 1 Sigma Line Sty le

    Average

    +1

    -1

  • Quantitative Software Management, Inc. #14

    Schedule

    Schedule vs Size

    1 10 100 1,000Size (thousands)

    0.1

    1

    10

    100

    Months

    All Sy stems QSM 2008 Business Av g. Line Sty le 1 Sigma Line Sty le

    Black lines are 2008 trends for Business IT Projects

    Blue lines are trends from 88 ERP implementation projects sized with RICEF objects and configuration items

  • Quantitative Software Management, Inc. #15

    Effort

    Effort vs Size

    1 10 100 1,000Size (thousands)

    0.1

    1

    10

    100

    1,000Effort H

    ours (thousands)

    All Sy stems Av g. Line Sty le 1 Sigma Line Sty le

  • Quantitative Software Management, Inc. #16

    Effort

    Effort vs Size

    1 10 100 1,000Size (thousands)

    0.1

    1

    10

    100

    1,000Effort H

    ours (thousands)

    All Sy stems QSM 2008 Business Av g. Line Sty le 1 Sigma Line Sty le

  • Quantitative Software Management, Inc. #17

    Average Staff

    Average Staff vs Size

    1 10 100 1,000Size (thousands)

    0.1

    1

    10

    100

    1,000A

    verage Staff

    All Sy stems Av g. Line Sty le 1 Sigma Line Sty le

  • Quantitative Software Management, Inc. #18

    Average Staff

    Average Staff vs Size

    1 10 100 1,000Size (thousands)

    0.1

    1

    10

    100

    1,000A

    verage Staff

    All Sy stems QSM 2008 Business Av g. Line Sty le 1 Sigma Line Sty le

  • Quantitative Software Management, Inc. #19

    ProductivityParameter

    Productivity Parameter vs Size

    1 10 100 1,000Size (thousands)

    0

    5

    10

    15

    20

    25

    30

    35

    Productivity Parameter

    All Sy stems Av g. Line Sty le 1 Sigma Line Sty le

  • Quantitative Software Management, Inc. #20

    ProductivityParameter

    Productivity Parameter vs Size

    1 10 100 1,000Size (thousands)

    0

    5

    10

    15

    20

    25

    30

    35

    Productivity Parameter

    All Sy stems QSM 2008 Business Av g. Line Sty le 1 Sigma Line Sty le

  • Quantitative Software Management, Inc. #21

    Conclusions

    ERP Implementations have very similar behavior to other Business IT projects Schedule, effort, staffing, productivity

    Parametric estimation techniques used for Business IT projects are applicable to ERP implementations

    ERP Implementation size can be effectively estimated using Configuration Items and RICEF Objects Widely used by U.S. government for

    estimation and tracking

  • Quantitative Software Management, Inc. #22

    ERP Estimation Demo

    Estimate project size Create Baseline estimate Model with schedule & effort constraints

  • Quantitative Software Management, Inc.

    Questions?