Data Strategy
Data Strategy for Metals Manufacturers
Your factory produces data constantly. Shift reports, inspection results, order histories, material certifications, supplier records. Most of it is scattered across spreadsheets, email inboxes, and filing cabinets.
A data strategy is the plan for changing that. It covers what data you collect, where you store it, who can access it, and how you use it to make better decisions.
For metals manufacturers, the priorities are clear:
- Data governance: who owns each data type, and who is allowed to change it
- Data quality: are your material records accurate, complete, and traceable?
- Data security and privacy: protecting customer order data and supplier certifications
- Business intelligence: turning production records into dashboards that help you manage
- DataOps: keeping your data pipelines working when systems change
You do not need a data science team to start. You need a clear picture of what data you already have and what decisions you wish you could make faster. Start there.
For metals manufacturers considering new software: your data stays yours. GoSmarter is EU-hosted and compliant with the General Data Protection Regulation (GDPR), your records are exportable as CSV at any time, and there are no exit fees. The data-strategy questions worth asking before any new system: where does my data live, what happens to it when I leave, and does the vendor make it easy to find out? Those should have clear, written answers before you sign anything.
Posts in this section cover governance frameworks, data platform choices, and the practical steps that turn scattered records into a working system.
Digital Supply Chains and why you need one
- Solange Borrego
- Archive
- Jun 10, 2021
- Updated
Adopting a Digital Supply Chain is big step towards achieving bigger goals like faster, more precise processes with visibility for the whole company. Digital Supply Chains can be hard to implement, but having a strategy is key. Most manufacturers already have some sort of data from ERP systems so building a Digital Supply Chain can begin with embracing more digital integrations with the ERP system and improving governance of the platform. It is very important to ensure that the implementation of a Digital Supply Chain is taken as seriously as other core business processes.
Digital Twins and AI for manufacturers
- Solange Borrego
- Archive , Learning , Blog
- Jun 1, 2021
- Updated
Digital Twins are virtual replicas of real-world systems enabling low-cost modelling of the factory floor to help optimise processes. Combined with AI the Digital Twin can support improved forecasting, dynamic optimisation, and more.
Microsoft Build 2021 announcements for manufacturers
- Steph Locke
- Archive
- May 25, 2021
- Updated
Microsoft Build 2021 is kicking off and whilst it tends not to be as announcement heavy as Microsoft Ignite, it’s still got some great things for manufacturers to pay attention to. This post gives a quick run down of the most important stuff you need to read about. Enjoy!
Smart Manufacturing is all about Real-Time Data Analytics
- Steph Locke
- Archive , Blog
- May 24, 2021
- Updated
Manufacturers are spending far too much time on data entry or looking at stale data which is hindering growth. Here are seven ways real-time data can turn things around.
Announcing GoSmarter In A Day
- Steph Locke
- News
- May 21, 2021
- Updated
Our GoSmarter In A Day workshops solve one problem like processing Accounts Payable incoming invoices to demonstrate the value such automation can bring.
European AI Act
- Ruth Kearney
- Archive
- May 18, 2021
- Updated
The European Commission proposes new rules and actions aiming to turn Europe into the global hub for trustworthy Artificial Intelligence (AI).
Data Champions are critical to your success in digitally transforming
- Solange Borrego
- Archive , Blog
- May 18, 2021
- Updated
Manufacturers need Data Champions to help them succeed in today’s digital world. To learn more about how you can find your Data Champion for your team or company, read on!
Reports supported by AI & automation
- Steph Locke
- Archive
- May 11, 2021
- Updated
Data compilation for reports created by experts is usually more time consuming than writing the valuable content. Using AI and no-code automation techniques, data collation and visualisation can be greatly streamlined, letting staff focus on the value.
Checklists make everything better - including responsible AI!
- Steph Locke
- Archive , Blog
- May 10, 2021
- Updated
Building a checklist to cover the six key areas of responsible AI can drive better outcomes and returns for your business. Start with the list of areas as a discussion aid and grow your checklist with use.
Using AI to make your warehouse operations smarter
- Steph Locke
- Archive , Blog
- May 7, 2021
- Updated
You can benefit from lower overheads by using AI to manage stock levels, whilst building a more scalable warehouse operation that is safer for employees, using AI.
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