Glossary

Plain-English definitions of the terms your team uses every day — from steel mill certificates and EN 10204 compliance standards through to AI platforms and data engineering concepts.

For the full GoSmarter platform glossary (including GoSmarter-specific terminology), see the GoSmarter Glossary. For the shop-floor metals manufacturing reference, see the Metals Manufacturing Glossary.

What the glossary covers

Metals and manufacturing — the language of the shop floor and the quality office: mill certificates, heat numbers, EN 10204 cert types, cutting optimisation, yield rate, rebar, long products, and steel traceability.

AI and data strategy — concepts that help you evaluate software vendors and build internal capability: what AI actually is, what a data strategy involves, and how business intelligence differs from raw data.

Cloud platforms — the infrastructure behind modern manufacturing tools: Azure, AWS, Google Cloud, IBM Cloud, and the specific services (Data Factory, Redshift, BigQuery) that manufacturers encounter most often.

Data engineering and science — the disciplines behind analytics and automation: data modelling, data platforms, data science auditing, and the tools (Python, Jupyter, Power BI) that practitioners use.

GoSmarter platform terminology — the specific terms and concepts used inside GoSmarter, so new starters can navigate the application without guessing.

Metals and manufacturing terms

What is EN 10204? — The European standard for material test certificates, explained.
What is a Mill Test Certificate? — What an MTC contains, who issues it, and what happens when it goes missing.
What is a Heat Number in Steel? — The unique batch identifier at the heart of every mill certificate.
What is Steel Traceability? — From mill to customer, in one unbroken chain.
What are Long Products in Steel? — Bars, sections, rebar, tube: defined.
What is Rebar? — Reinforcing bar, BS 4449, and why traceability is critical.
What is Cutting Optimisation? — The maths of minimising scrap on the saw.
What is Yield Rate in Steel Manufacturing? — Formula, benchmarks, and how to improve it.
What is Metals Inventory Management? — Why generic inventory tools fail for steel.
What is ERP in Metals Manufacturing? — When specialist tools beat a one-size-fits-all system.

AI and data strategy

Cloud platforms

Data engineering and tools

What is business intelligence?

Business intelligence refers to the systematic collection, integration, analysis and reporting of data from all areas of your business - from finance and sales to worker productivity - to drive better decision making.

What is data warehousing?

Data warehousing refers to building a system that can store large volumes of data from several sources, as a central repository from which all other systems can access the data efficiently.

What is remote support?

Remote support tools are IT tools and software that enable an IT technician or a support representative to connect to a remote computer from their consoles via the Internet and work directly on the remote system.

What are database improvements?

Database improvements can mean improving the design of the database, improving the performance of the database, and improving the security of the database.

What is database maintenance?

Database maintenance plans are a method of ensuring that a database is optimised and performing well. This helps businesses reduce downtime and data loss and ensure accurate and reliable data is available for modelling and insights.

What is data visualisation?

Data visualization is the graphic representation of data. It involves producing images that communicate relationships among the represented data to viewers of the images. Data visualisation empowers all of the teams in your organisation to make …

What is AI product development?

AI product development is the development of an AI solution - either from scratch or building upon an AI solution that is used internally - that can be made available externally as a marketable product.

What is AI integration into applications?

AI systems such as natural language processing and machine learning algorithms can be integrated into existing applications to add functionality and improve their performance over time. Examples of AI features that can be integrated into applications …

What is Azure Batch?

Azure Batch is a service that manages the workload of applications. It is designed to take the workload that is greater than the capability of your application, and divide it between a number of nodes - virtual machines (VMs) - that can each run your …

What is Azure Data Factory?

Azure Data Factory is a cloud-based data integration service. It does not store data itself, but allows you to create and monitor automated workflows that collect, integrate, and (to some extent) transform large volumes of data from disparate …

Sections

Back to Docs