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.
How to score your first AI quick wins: Intelligent Insights
- Steph Organ
- Archive
- Feb 4, 2020
- Updated
There’s no doubt that going ahead with Artificial Intelligence (AI) can be risky. We’ve seen numerous AI fails from major companies including IBM, Amazon and Microsoft which landed them in hot water, something big companies can often bounce back from, but could be more of a problem for the smaller players. The trick to getting started with AI is to start small, which is where our quick win AI projects come into play.
Mastering AI in manufacturing: the three levels of competency
- Steph Locke
- Archive , Blog
- Jan 31, 2020
- Updated
Manufacturers have been facing continual pressure to improve their technology base, reduce costs, and improve quality since the Industrial Revolution. Manufacturers are used to change but not every manufacturer can or will embrace it at the same rate. Also, no manufacturer jumps straight to being an expert at the new thing they're needing to adopt. The same goes for Artificial Intelligence (AI) as an emerging change in manufacturing.
Industry IoT, smart factories and AI in manufacturing
- Steph Organ
- Archive , Blog
- Jan 29, 2020
- Updated
The world of manufacturing is on the brink of another revolution due to the Internet of Things (IoT) and Artificial Intelligence (AI) applications. Aside from clear use cases like robotics and automation, big data applications are coming into play, thanks to industrial time series data collected by data historians. Thriving on all this data, AI systems can be built to send early warnings, optimise processes, predict maintenance and enforce quality control. By collecting the right data, manufacturers can get really creative with their AI solutions, and it can set them apart from the competition.
A partnership of Machine Learning and AI with healthcare professionals
- Steph Organ
- Archive
- Jan 27, 2020
- Updated
Healthcare has always been a data-rich area, but with new technologies for processing and structuring, and new ways of collecting data, such as using sensors, like many other industries, the available data is growing exponentially. Artificial Intelligence (AI) makes it possible to analyse all this data in real-time by combing Machine Learning (ML) and Natural Language Processing (NLP), in order to gain valuable insights.
FBS Small Business Awards 2020
- Ruth Kearney
- News
- Jan 23, 2020
- Updated
FBS Small Business Awards 2020 Tell us briefly about you and your business Nightingale HQ is a platform for businesses to adopt AI. As the supply of data in all industries increases exponentially, we help businesses get AI-ready so that they can fully harness and utilise the data available to them to solve business problems. Nightingale HQ can help get your business the training and connections they need to start practising data science.
Expert Perspectives: Enhancing business with data and AI
- Steph Organ
- Archive
- Jan 21, 2020
- Updated
This week we spoke to Dr. Leila Etaati, co-founder, data scientist, consultant and mentor at RADACAD, about what she thought was the key to success with AI for businesses, and how her business was implementing these beliefs. The RADACAD team work with other companies to deliver expert training and consulting around all things data, with a passion for helping businesses improve by listening to their data.
How to score your first AI quick wins: Social Listening
- Steph Organ
- Archive
- Jan 15, 2020
- Updated
Marketing is a ripe area for Artificial Intelligence (AI) adoption, with all the data and the insights, but how do you make the jump into the AI pool when you look around and all you see is resistance? Quick win projects are an essential tool for building confidence among your team, particularly when introducing new concepts. That is why Nightingale HQ have created a guide of quick-win projects to help departments and companies ease into AI and build momentum for future, more complex projects. In this edition, we will discuss the benefits of practising social listening and how to pull it off as your first AI win.
How to score your first AI quick wins: Knowledge Worker Productivity
- Steph Locke
- Archive
- Jan 8, 2020
- Updated
When you choose to introduce Artificial Intelligence (AI) in your organisation or department there can be a lot of resistance and uncertainty, which is why it is important to start small and win fast. By taking on smaller fail-proof projects, you can build up confidence among your team as they begin to see the value of the projects and stop fearing failure and resisting changes. In this project we discuss how to boost knowledge worker productivity, something employees will be able to track themselves and see the true value of. Building momentum in this way will pave the way for greater successes down the line.
Take the hassle out of note-taking with Otter.ai
- Mia Hatton
- Archive
- Dec 18, 2019
- Updated
How much time is spent taking and distributing minutes in your organisation? How often are your staff impacted by miscommunications, forgotten action points and lost meeting notes? All of these losses can be avoided when you use an AI tool to automatically generate searchable transcriptions of your meetings.
Announcing our Research Panel
- Steph Locke
- Archive
- Dec 17, 2019
- Updated
We want to help more than one million businesses adopt artificial intelligence (AI) in the next five years. To do that we need your help. We're working on the world's biggest dataset on AI adoption via what we collect on our site, but qualitative data from knowledgeable people can be extremely valuable. As such we're launching our research panel to engage with people around the world.
Categories
Tags
- Artificial Intelligence
- Automation
- Cloud Technology
- Compliance
- Continuous Improvement
- Cutting Optimisation
- Data Strategy
- Digital Transformation
- Energy Management
- Glossary
- India
- Inventory Management
- Inventory Management for Metals
- Ireland
- Manufacturing
- Metals
- Nightingale HQ and GoSmarter
- Procurement
- Production Planning
- Quality
- Research & Innovation
- Small & Medium Enterprises
- Steel Industry
- Supply Chain
- Sustainability
- Steel Tariffs
- Traceability
- Trade & International Steel
- Wales






