ReadOS / Operations
Operations: Practical Perspectives
Collected applied topics and case studies in operations.
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- 01Analysing counts and categories in business data: cross-tabulations, proportions and when a difference is realDefect types, complaint reasons, survey answers and segments are categorical data. How to tabulate them, compare proportions fairly, test whether differences are real and avoid traps.
- 02Designing identifiers: part numbers, job numbers, serial numbers and check digits that prevent errorsNumbers that identify parts, jobs, customers and products underpin every system. How to design identifiers that stay unique and stable, avoid confusion and catch typing errors.
- 03Importing goods for a small business: suppliers, landed cost, customs, biosecurity, safety and paymentA practical guide to importing into Australia: choosing suppliers, Incoterms, calculating landed cost, customs and GST, biosecurity, product safety duties and safer payment methods.
- 04Location data for field service and logistics: addresses, geocoding, service areas and site informationField service and delivery businesses run on location data. How to structure addresses, validate and geocode them, define service areas, record site access details and use routing well.
- 05Managing a product image and document library: structure, naming, rights and approvalsProduct images, drawings, manuals and brochures are business assets. How to organise, name, tag, approve and share them, track usage rights and keep the library useful as it grows.
- 06Master data and the single source of truth: product codes, customer records and supplier detailsItem, customer and supplier records drive every order, invoice and report. How to define master data, give it owners, control changes, remove duplicates and protect payments.
- 07Timesheet and labour data for job costing: capturing hours accurately so job profits can be trustedLabour is often the largest and least accurate cost in job costing. How to structure timesheet data, calculate loaded labour rates, capture hours reliably and quote better.
- 08Who looks after the database? Database administration responsibilities for small and medium businessesDatabases need routine care, yet in many businesses nobody clearly owns it. The tasks involved, how to share them between staff, IT providers and vendors, and how to avoid gaps.
- 09Writing a data dictionary: defining the data a business relies on so everyone means the same thingDisputed reports often come from undefined terms. How to build a practical data dictionary of fields, codes and measures, write clear definitions, assign owners and keep it current.
All chapters preserve the original KEVOS Insights content. These topic-based reading collections are organised alphabetically; chapters may be read in any order.
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