C303: Computerised Maintenance Management Systems (CMMS)
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Introduction
In today’s complex industrial environments, the efficiency and reliability of maintenance management are crucial for the longevity and productivity of equipment. Computerised Maintenance Management Systems (CMMS) are essential tools that help organisations effectively manage their maintenance operations. These systems capture and store maintenance plans as organisational knowledge, enabling multiple users to access and collaboratively enhance these plans. CMMS act as a comprehensive library, archiving previous work and allowing for the continuous improvement of maintenance plans over time. They enable organisations to meticulously track pending and completed tasks and enhance decision-making processes with reporting functionality and data analytics.
Expertise Powered by EAMS Africa
So that our learners receive training that is not only grounded in industry best practices, but also at the cutting edge of technological advancements, Terotechnica has formed a strategic partnership with EAMS Africa. This course is expertly designed, maintained, and delivered by EAMS Africa, a leader in Enterprise Asset Management Systems. With years of experience, EAMS Africa excels in the architecture and functionality of CMMS databases, ensuring that learners gain both theoretical insights and practical skills.
CMMS Platform: Fracttal
Training will be conducted on Fracttal, a CMMS known for its powerful and modern functionality, including predictive maintenance, AI integration, and smart job cards. This platform exemplifies the latest in maintenance technology, offering tools that significantly enhance maintenance efficiency and effectiveness and giving learners exposure to the type of functionality that will be used in the future.
Transferable Skills and Knowledge
Upon completion of this course, participants will not only become proficient in using Fracttal, but will also gain a deep understanding of CMMS structures and functions that can be applied to all other CMMSs. This universal applicability ensures that learners are equipped to handle various CMMS platforms, enhancing their versatility and value in the field of Maintenance Management.
Course Duration
This course is conducted over 5 days - 8 hours per day
Course Prerequisite
Participants should have completed the C301 Maintenance Planning course before registering for this course.
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Course Content ● Section 1 - From Problem to Work Order ● Section 2 - Scoping and Planning ● Section 3 - Resource Coordination ● Section 4 - Strategic Activity Scheduling ● Section 5 - Tracking Plan Execution ● Section 6 - Task Feedback ● Section 7 - Refining Maintenance Feedback Loops ● Section 8 - Advancing Master Data Management
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Who Should Attend
The course is designed for:
● Aspiring maintenance planners seeking foundational and advanced knowledge in CMMSs.
● Maintenance supervisors and engineers who are tasked with overseeing maintenance operations.
● Asset managers looking to integrate and leverage CMMS for enhanced asset management.
Credits 16*, level 5**
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* The course comprises 80 hours of study, of which 40 hours are in class, with a further 16 hours of private study, and 24 hours for an assignment. **Occupational Certificate level |
Prerequisites: Completion of C301: Maintenance Planning |
T604: Asset Management for Water and Sewage Maintenance Teams
Asset Management / Maintenance is not for sissys. Fortunately, there are tools available to make us heroes.
Asset Management / Maintenance practitioners are often faced with situations where they need to take challenging decisions. Such decisions are mostly based on limited information and years of experience. While experience and gut feel are invaluable in such situations, it can often be enhanced by good analysis.
Typically, maintenance decisions require the evaluation of alternative solutions in terms of various maintenance criteria such as cost, failure history, time to repair, time to failure and uptime.
The course Decision-making in Maintenance is aimed at providing such analysis tools. Specifically, it addresses the following decision making areas:
- Preventive maintenance decisions
- Component replacement decisions
- Asset replacement decisions
- Repairable Systems decisions
- Condition Based Maintenance decisions
- Maintenance resource decisions
- Outsourcing decisions
The course intends to enable maintenance practitioners to be able to:
- Use a variety of mathematical and statistical techniques to assist them in maintenance decision making.
- Apply the techniques of component replacement decision-making, reconditioning decision-making, and equipment replacement decision-making to limited scale problems, using standard student copies of commercially available software.
- Develop proper maintenance strategies for the assets under their care.
- Do basic failure analyses.
- Find the optimal replacement age of components.
- Develop an essential understanding of capital replacement decision making models and techniques.
Course Content
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Day 1
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Day 2
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Day 3
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Day 4
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Day 5
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Who Should Attend
The course is intended for maintenance managers, maintenance engineers and other maintenance personnel who need to make important maintenance decisions regarding the different aspects of maintenance (both managerial and technical decisions).
Important note: Laptop computer required – refer to terms and conditions on Course Registration form, and footnote on the Course Listing.
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Credits 12*, level 6** CPD Points: 2 * The course comprises 60 hours of study, of which 40 hours are in class, with a further 20 hours preparation for tests and a final examination. **Higher Diploma level |
Textbooks Provided
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OQ501: Occupational Certificate in Maintenance Planning (SAQA 101874, NQF Level 5)
Written by Jasper Coetzee
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Introducing the Occupational Certificate in Maintenance Planning
Are you ready to elevate your career and become a recognised Maintenance Planner? Our new Occupational Certificate in Maintenance Planning is QCTO-approved and designed to give you the practical skills and theoretical knowledge you need to excel in any production environment, be it a mine or plant.
Why Maintenance Planning Matters
Maintenance Planners are critical in keeping production lines running smoothly. By effectively scheduling maintenance tasks, they minimise downtime, optimise resources, and enhance overall plant reliability. In today’s competitive industrial landscape, a well-trained Maintenance Planner is critical for ensuring operational efficiency and cost savings.
Course Structure
1. Three Core Courses
- OQ511 Knowledge Modules 1 to 3: Gain a solid foundation in planning and scheduling routine preventive maintenance activities. (52 credits)
- QC512 Practical Modules 1 to 8: Learn to use industry-leading software solutions for Asset Management, tracking maintenance activities and generating performance reports. (84 credits)
- OQ513 Work Experience Modules 1 to 8: Develop skills on the job. (125 credits)
All three courses include industry-based case studies and assignments that require you to apply your new skills directly in your organisation. This real-world focus ensures you gain practical experience that you can use from day one. This real-world focus ensures you gain practical experience that you can use from day one.
2. Work Experience Modules & Final Exam
Alongside the coursework, you will complete work experience modules that give you hands-on training in a real industrial environment. These modules ensure that by the time you’ve finished the qualification, you are fully capable of performing the tasks required of a Maintenance Planner. In many cases, these modules can also help learners secure opportunities within their companies or other organisations looking for in-house expertise.
Upon completion of the work experience modules, you will be eligible to write the final integrated exam administered by the QCTO. Successful candidates will have their names entered into the QCTO’s national database as qualified Maintenance Planners.
Professional Recognition
Graduates of this Occupational Certificate can apply to SAAMA (the South African Asset Management Association) for the professional designation of Maintenance Planner. This recognised professional status can boost your credibility and open doors to advanced career opportunities.
Affordable Investment & Tax Benefits for Employers
- Direct Qualification Fee: R53 998 (including VAT)
- Effective Cost After Tax Rebates for Employed Learners: R23 218
For South African companies, the actual cost is incredibly affordable. Investing in your employees’ development not only improves organisational performance but also delivers significant financial savings. A qualified Maintenance Planner performs work management to ensure optimal utilisation of resources in a logical sequence.
Entry Requirements
● Matric with Mathematics & Physical Science
● OR matric and 3 years of experience in the Maintenance Planning environment
● OR an artisan qualification
Enrol Today!
By choosing our Occupational Certificate in Maintenance Planning, you’ll benefit from:
- A QCTO-approved qualification that is industry-relevant and practically oriented.
- Training that includes real-world case studies, interactive assignments, and hands-on work experience.
- Being listed on the National Learners Record Database, the management information system of the National Qualifications Framework, validating your professional status.
- Qualifying for SAAMA’s Maintenance Planner designation, enhancing your career prospects and industry standing.
Secure your spot and take the next step in your professional journey. Contact us today for more information or to enrol.
Brochure Download: 
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Study Loans / Discount
We understand that the cost of study may cause many students to rather forego their ambitions. We thus provide you with possibilities of obtaining study loans and getting discount for study.
1. Study loans
Disclaimer: The content below regarding study loans are obtained from Fundi. We made sure that we copied it correctly to this website page for the convenience of students, but we do not take responsibility for any difficulties that you encounter with that institution.
Study loans may be obtained from Fundi (https://fundi.co.za)
To get such a loan, the following criteria should be abided by. Please take careful note of the following below…..
To qualifying for a study loan and/or a loan to purchace a study device (such as a laptop) with Fundi:
- you need to be permanently employed.
- you need to be accepted or registered with a training institution.
- you need to earn at least R2500.00 of disposable income after deductions.
Required documents that should be submitted with the application:
- Recent payslip (not older than 3 months).
- In the case of applying for a study loan, a statement of fees or quote from Terotechnica.
- In the case of a device loan, current proof of registration with Terotechnica.
- Copy of ID document.
Application forms can be downloaded here:
Completed application and documents needs to be send directly to This email address is being protected from spambots. You need JavaScript enabled to view it.
NB: You have up to 36 months to pay back the educational loan.
Devices can be obtained from https://shop.fundi.co.za/
2. Discounts
Private students are eligible for discounts under certain circumstances.
There are two ways that a private student can receive discount from Terotechnica: Immediate Payment and Placement Payment.
1. Immediate Payment
In a case of an immediate full settlement of the total amount of the quotation, the student is entitled to 30% discount. The “immediate full settlement” is then the full amount of the quotation, less 30%. This offer is only valid for five (5) days from the date of the quotation.
2. Placement Payment
If the student for some reason cannot do immediate/full settlement payment, as described above he/she does not qualify for the full 30% discount but can still receive a discount according to the following schedule below, on payment of a R2000 placement fee.
The discount that can be secured is as follows:
- 25% if the placement fee is paid within the first five (5) days of the date of the quotation.
- 20% if the placement fee is paid between day six (6) and day ten (10) of the date of the quotation.
- 15% if the placement fee is paid between day eleven (11) and day ten (15) of the date of the quotation.
- 10% if the placement fee is paid between day sixteen (16) and day twenty (20) of the date of the quotation.
- 5% if the placement fee is paid between day twenty-one (21) and day twenty-five (25) of the date of the quotation.
Nevertheless, the total price of the specific course, less discount secured, must be paid before course attendance.
N.B the discount is only available on short and comprehensive courses (diplomas are already priced at a discount).
Privacy Policy
We at AM-Tech Consulting Engineers and the Terotechnica Asset Management College are serious about our responsibility in securing the integrity and confidentiality of your personal information in our possession. We have taken all reasonable and technical measures to prevent the:
- Loss of and/or the unauthorised destruction and/or
- Unlawful access to and/or processing of your personal information.
We will in no way provide others with the confidential information you share with us.
You can navigate to our Home Page if you wish.
A PDF Copy of this page is also available.
More...
S809: Data Analytics in Asset Management
The analysis of data is one of the most important activities in modern asset management. It can make the difference between success and failure.
1. Introduction
The Data Analytics in Maintenance course aims to create an appreciation of analytics in the context of a rapidly increasing data driven world. The South African mining industry was historically characterized conventional labour-intensive mines. Technology has been widely adopted and in 2021, most new mining projects are heavily mechanized and rely on various technologies, albeit with different levels of adoption.
This wave of mechanization has drastically increased complexity in terms of:
- supply chain systems: machines have thousands of parts and components
- training and skill development: the variety of assets are increasing fast
- cost: managing costs and operational efficiency has become more critical
- operational visibility: identifying operational bottlenecks in an environment with many complex coupled variables will need more methodical approach
These demands are not only applicable to maintenance aspects in mining, but also in any capital-intensive industries where equipment downtime and marginal changes in the operational expenditure can threaten the bottom line.
The course is a jargon-free practical guide to creating valuable and actionable insights to optimize the asset management effort. We have intentionally elected to create content that will accommodate learners with limited statistical training while limiting the primary tool of analysis to Microsoft Excel. The course will cover the whole analytics process using practical hands-on examples.
2. Course Duration
The material is taught in 5 days with a daily 8 hour per day schedule.
3. Prerequisite
Learner should have a working knowledge of computers ( internet, Microsoft Excel and email).
4. Course Content
4.1 Module 1: A brave new world
Data analytics and concepts are introduced. The learner is exposed to how world-class maintenance professionals are using data strategically in business. The data science analytics process is explained and contrasted to how the course aims to address the various stages of the analytics process.
Topics:
- The analytics process
- Business case studies
- The changing maintenance landscape
- Maintenance 4.0 technologies
- Organizational data analytics maturity
4.2 Module 2: Performance Measuring
This module discusses how and where an organization can begin its digitalization journey. The performance measurement is a natural starting process in starting up a concerted analytics process. The themes covered outline how an organization can effectively use performance measurements to identify risks, opportunities, foster innovation and drive continuous improvement.
Topics:
- Maintenance and operational indicators
- How maintenance key performance indicators (KPIs) influence strategic outcomes
- How to make winning KPIs
- How to make winning KPIs
- How to dig deeper in the KPIs to understand what is driving them
- Understanding historical and predictive indicators
- Planning for effective performance measures
- Cascading strategic objectives through performance measures
4.3 Module 3: Data Sourcing
This module introduces the Extract, Transform and Load tool through Power Query. This tool is used to automate much of the data sourcing process and to a extend the data cleaning process. We use hands-on practical data to work on.
Topics:
- Various types of structured data and how to digitalize them
- Data definitions through the knowledge pyramid
- Meta data management
- How to use Power Query to;
- Connect to various sources (online, folders, worksheets and database)
- How to transform data and automate the data preparation
- How to reduce manual operation when merging and appending data
- How to make regular reports to self-update and safe valuable time
4.4 Module 4: Cleaning Data
Most collected digital data that is not analysed is in the format that is not easy to manipulate. It could be some parts are missing, aggregated, the format is not usable to the analyst and no consistency in how the records are captured. This chapter gives the learner tools to make the data usable for the analytical process.
Topics:
- Dealing with the top 5 data quality dimensions:
- Accuracy
- Completeness
- Consistency
- Validity
- Uniqueness
Practical examples on MS Excel and understanding functions to clean data
4.5 Module 5: Data Discovery and Analysis
Analysis is the heart of the analytics process. In this chapter we use methods to make the data to tell a compelling story. This module uses a practical examples where various data sources are integrated and prepared to solve real maintenance problems. Although many operations have some form of visualization reporting, the student is introduced to diagnostics and predictive analytics processes.
Topics:
- Framing maintenance questions into analytical projects
- Creating focus to find maintenance insights
- Data aggregation techniques
- Creating visuals that tell a compelling story
- Going beyond descriptive analytics
- Diagnostic analytics and finding relationships within the data
- Prescriptive diagnostics: how to create data models
- Introduction to regression
- Time-series analysis
- Developing hypothesis
- Practical exercises to find meaning in otherwise latent data
4.6 Module 6: Trend Analysis Framework
This framework demands all the skills picked up from Module 3 to Module 5. It covers a novel method to track the consumption of 1000s of parts in a non-graphical method. This ingenious trending method can be used to answer questions such as: what is pushing the cost curve, which failure modes are on the rise and which parts must we reduce or increase in the warehouses
Topics:
In an operation that uses 10,000+ individual coded items such as spare parts, raw material and fuel, an engineering manager is interested in understanding what is causing maintenance costs to rise in spite of many initiatives by the team. He ropes in an analyst to assist the reliability engineer to conduct a spend analytics project.
Tracking an individual item using time-series graphical plots may be adequate, however, when looking at 1000s of items, a graphical approach becomes rather tedious because;
- Creating 1000s of graphs is not practical to do or interpret
- Graphical information still needs further analysis to determine the trend
- Graphical information methods cannot be filtered or manipulated
This analysis framework opens up many possibilities in analysing trends in a powerful method.
4.7 Module 7: Formulating a Data Strategy
Data analytics is prevalent in some form in every enterprise. However, the maturity and benefits derived are not consistent. In the maintenance realm, there are countless amount of data generated within the CMMS system, the ERP and the production environs. This module shortly provides a brief overview on how an organisation as a whole or a maintenance department can take intentional steps to make the most of the data in the organization through crafting a Data Strategy. Aspects of the Data Strategy are discussed in a jargon-free manner. The discussions are aimed at maintenance professionals and not IT professionals.
Topics:
- What is a data strategy
- Benefits of conceptualizing a data strategy
- Data strategy formulation steps
- Questions to create a data-driven operation vision
- Reviewing the current data utility
- A brief overview of what good data maturity looks like
- The four types of analytics
- Practical maintenance data considerations
- Data governance and how to leverage ICT models
- Creating a roadmap
- Typical Data Analytics jobs
- Typical Data Analytics software and tools
Who Should Attend
This course is intended for anyone who has to work with data and understand the fundamental meaning of data. These include Asset Managers, Maintenance Managers, Maintenance Engineers, Managers in control of Asset Management, Managers in control of Maintenance Stockkeeping and Purchasing, Maintenance Supervisors, Maintenance Planners, and many others. It can play an important role to prepare maintenance and operational personnel to understand the fundamental asset management/maintenance organisation's problems and enable them to manage and direct the organisation successfully.
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Credits 12*, level 6**
* The course comprises 60 hours of study, of which 40 hours are in class, with a further 20 hours spent on completing a work related assignment.. **Higher Diploma level |
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Course information at a glance 2020
Important note: If this table and the calendar on the right interferes with each other, press Control+minus repeatedly to reduce the font size, until you can see well enough.
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COURSE SCHEDULE : 2020 |
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Course code |
Course description |
Duration Days |
Dates |
Cost |
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Excl VAT |
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C101 |
2 days |
1st course: 27 - 28 January |
R 6 399 |
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2nd course: 17 - 18 February |
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3rd course: 15 - 16 April |
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4th course: 13 - 14 May |
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5th course: 22 - 23 June |
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6th course: 20 - 21 July |
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7th course: 12 - 13 August |
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8th course: 21 - 22 September |
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9th course: 27 - 28 October |
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10th course: 10 - 11 November |
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C201 |
5 days |
1st course: 27 - 31 January |
R 15 999 |
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2nd course: 24 - 28 February |
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3rd course: 23 - 27 March |
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4th course: 4 - 8 May |
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| 5th course: 1 - 5 June |
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| 6th course: 29 June - 3 July |
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| 7th course: 27 - 31 July |
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| 8th course: 24 - 28 August |
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| 9th course: 28 September - 2 October |
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| 10th course: 26 - 30 October | |||||
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11th course: 23 - 27 November |
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C301 |
5 days |
1st course: 20 - 24 January |
R 15 999 |
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2nd course: 17 - 21 February |
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3rd course: 16 - 20 March |
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| 4th course: 20 - 24 April | |||||
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5th course: 18 - 22 May |
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6th course: 22 - 26 June |
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7th course: 20 - 24 July |
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| 8th course: 17 - 21 August |
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| 9th course: 14 - 18 September |
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| 10th course: 12 - 16 October |
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| 11th course: 9 - 13 November |
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12th course: 7 - 11 December |
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C302 |
5 days |
1st course: 10 - 14 February |
R 15 999 |
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2nd course: 30 March - 3 April |
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3rd course: 11 - 15 May |
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| 4th course: 29 June - 3 July | |||||
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5th course: 3 - 7 August |
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| 6th course: 7 - 11 September | |||||
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7th course: 19 - 23 October |
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8th course: 30 November - 4 December |
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C501 |
Maintenance Shutdown and Project Management (Please see footnote for computer requirement) |
5 days |
1st course: 3 - 7 February |
R 16 585 |
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2nd course: 9 - 13 March |
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| 3rd course: 20 - 24 April | |||||
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4th course: 25 - 29 May |
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| 5th course: 29 June - 3 July |
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| 6th course: 3 - 7 August |
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7th course: 28 September - 2 October |
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8th course: 2 - 6 November |
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9th course: 7 - 11 December |
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C702 |
Reliability Engineering in Asset Management (Please see footnote for computer requirement) |
5 days |
1st course: 16 - 20 March |
R 17 805 |
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| 2nd course: 11 - 15 May | |||||
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3rd course: 27 - 31 July |
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| 4th course: 14 - 18 September | |||||
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5th course: 16 - 20 November |
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C901 |
Maintenance Practice for Asset Management Engineers |
5 days |
1st course: 24 - 28 February |
R 16 599 |
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2nd course: 30 March - 3 April |
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3rd course: 22 - 26 June |
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| 4th course: 31 August - 4 September | |||||
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5th course: 26 - 30 October |
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C902 |
5 days |
1st course: 10 - 14 February |
R 16 599 |
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2nd course: 4 - 8 May |
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| 3rd course: 13 - 17 July |
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4th course: 12 - 16 October |
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C903 |
RCM Facilitation and Analysis |
5 days |
1st course: 20 - 24 January |
R 16 599 |
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2nd course: 2 - 6 March |
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3rd course: 18 - 22 May |
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| 4th course: 6 - 10 July |
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5th course: 7 - 11 September |
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6th course: 2 - 6 November |
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C904 |
RCM ProAktiv, Advanced Reliability Centred Maintenance (Please see footnote for computer requirement)
Please note that this course has a pre-requirement. Students
This is to ensure that participants will adequately cope with the |
5 days |
R 16 599 |
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| 1st course: 25 - 29 May | |||||
| 2nd course: 31 August - 4 September | |||||
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S801 |
Reliability Centred Maintenance |
3 days |
1st course: 20 - 22 January |
R 10 205 |
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2nd course: 2 - 4 March |
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3rd course: 18 - 20 May |
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4th course: 6 - 8 July |
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| 5th course:7 - 9 September |
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6th course: 2 - 4 November |
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S802 |
3 days |
1st course: 4 - 6 February |
R 10 205 |
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2nd course: 6 - 8 April |
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3rd course: 27 - 29 July |
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4th course: 6 - 8 October |
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S803 |
5 days |
1st course: 27 - 31 January |
R 18 295 |
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2nd course: 2 - 6 March |
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3rd course: 20 - 24 April |
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| 4th course: 8 - 12 June |
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| 5th course: 13 - 17 July | |||||
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6th course: 24 - 28 August |
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7th course: 5 - 9 October |
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8th course: 16 - 20 November |
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S804 |
Decision Making in Maintenance |
5 days |
1st course: 3 - 7 February |
R 17 865 |
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| 2nd course: 9 - 13 March | |||||
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3rd course: 20 - 24 April |
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4th course: 8 - 12 June |
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| 5th course: 20 - 24 July | |||||
| 6th course: 31 August - 4 September | |||||
| 7th course: 12 - 16 October |
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8th course: 23 - 27 November |
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S805 |
2 days |
1st course: 23 - 24 January |
R 6 399 |
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| 2nd course: 24 - 25 February | |||||
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3rd course: 29 - 30 April |
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| 4th course: 11 - 12 May | |||||
| 5th course: 1 - 2 June | |||||
| 6th course: 7 - 8 July | |||||
| 7th course: 12 - 13 August | |||||
| 8th course: 21 - 22 September | |||||
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9th course: 3 - 4 November |
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S808 |
3 days |
1st course: 29 - 31 January |
R 9 599 |
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2nd course: 6 - 8 April |
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3rd course: 17 - 19 June |
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4th course: 18 - 20 August |
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5th course: 20 - 22 October |
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6th course: 8 - 10 December |
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S811 |
3 days |
1st course: 11 - 13 February |
R 11 605 |
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2nd course: 23 -25 March |
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3rd course: 15 - 17 April |
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4th course: 17 - 19 June |
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5th course: 6 - 8 July |
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6th course: 21 - 23 September |
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7th course: 17 - 19 November |
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S812 |
2 days |
1st course: 26 - 27 February |
R 6 399 |
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2nd course: 26 - 27 March |
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| 3rd course: 29 - 30 April |
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4th course: 24 - 25 June |
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5th course: 9 - 10 July |
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6th course: 21 - 22 September |
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| 7th course: 19 - 20 October | |||||
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8th course: 1 - 2 December |
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S813 |
Economical Replacement and Life Cycle Management |
5 days |
1st course: 17 - 21 February |
R 16 499 |
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2nd course: 23 - 27 March |
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| 3rd course: 25 - 29 May | |||||
| 4th course: 13 - 17 July | |||||
| 5th course: 7 - 11 September |
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6th course : 26 - 30 October |
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S820 |
What is Asset Management and how does it differ from |
2 days |
1st course: 19 - 20 February |
R 6 399 |
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S821 |
3 days |
1st course: 22 - 24 July |
R 9 599 |
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S822 |
3 days |
1st course: 21 - 23 October |
R 9 599 |
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Diploma in Maintenance Management |
For comprehensive information on our choice of 5 diplomas, |
R 64 385 |
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please visit our website www.terotechnica.com |
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Footnote: Students enrolling for these courses: C501, C702, C901, C903, C904, S801, S804 and S813, must be in possession of their own laptop computers. Computers supplied by employers often have safety features installed which prevent students free access to all the programs and functions required for the course. |
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In-house training: |
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Please note that considerable savings, both in time and money, can be brought about by having any of the above courses presented in-house. Attractive discounts are offered. Please contact us for quotations. Terms and conditions apply. |
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Comprehensive information regarding all diplomas and courses is available on our website www.terotechnica.com |
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Training and Good Maintenance
Why would investment in training pay off in any field? And, is same true for Physical Asset Management and Industrial Maintenance? Let us shortly investigate why training is important by first listing the more obvious effects of training, and then secondly list the less obvious, but even more inportant reasons to invest in training:
| The obvious effects of training: |  |
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| The less obvious reasons to invest in training: |  |
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