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 move your operations to the cloud - what you need to know
- Steph Locke
- Archive , Blog
- Jul 12, 2021
- Updated
You’ve probably heard of the cloud but what is it and how can it help your business? Learn how moving to the cloud can help you innovate and stay ahead of the curve when it comes to tech.
Read More: How to move your operations to the cloud - what you need to knowTools matter for Developer Velocity
- Steph Locke
- Archive , Blog
- Jul 7, 2021
- Updated
Businesses with the highest developer velocity experience the highest revenue growth, according to new research by Microsoft and McKinsey. Read on to understand how tools impact developer velocity and what the business case is for investing in them.
Read More: Tools matter for Developer VelocityDeveloper Velocity
- Steph Locke
- Archive , Learning
- Jul 5, 2021
- Updated
Businesses with the highest developer velocity experience the highest revenue growth, according to new research by Microsoft and McKinsey. Read on to understand the factors impacting developer velocity and how you can start building a strategy to improve this vital area of technology in your business.
Read More: Developer VelocitySelected for Procter & Gamble Supplier Academy 2021
- Ruth Kearney
- News
- Jun 28, 2021
- Updated
The Procter & Gamble Supplier Academy is a partnership between P&G and WEConnect International, providing training for majority women-owned businesses.
Read More: Selected for Procter & Gamble Supplier Academy 2021Funding for AI use cases and much more - AIPlan4EU
- Ruth Kearney
- Archive
- Jun 24, 2021
- Updated
At Nightingale HQ we recently submitted our AI use-cases to the AIPlan4EU to potentially develop them further. Find out how you can get yours funded and all about the new European AI on Demand Platform.
Read More: Funding for AI use cases and much more - AIPlan4EUManufacturers: Are you digitising or digitalising?
- Steph Locke
- Archive
- Jun 22, 2021
- Updated
To digitise your business means to perform traditionally analogue processes or actions digitally. Rather than a few changes here and there, digitalisation involves a change in how to the process is performed to better leverage technology.
Read More: Manufacturers: Are you digitising or digitalising?MLOps is like process engineering for Data Science
- Solange Borrego
- Archive
- Jun 21, 2021
- Updated
The goal of MLOps is to streamline the development, deployment, and operation of machine learning models, by supporting their building, testing, releasing, monitoring, performance tracking, reusing, maintenance and governance, joining the efforts of Data Science and IT teams under a shared focus.
Read More: MLOps is like process engineering for Data ScienceInnovation funding with EIC Accelerator
- Ruth Kearney
- Archive
- Jun 14, 2021
- Updated
Here at Nightingale HQ, we have put in for funding with the EIC Accelerator. In this article, we’ll tell you what the EIC Accelerator is and why it’s worth applying for.
Read More: Innovation funding with EIC AcceleratorDigital 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.
Read More: Digital Supply Chains and why you need oneDigital 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.
Read More: Digital Twins and AI for manufacturersCategories
Tags
- Artificial Intelligence
- Automation
- Cloud Technology
- Compliance
- Continuous Improvement
- Data Strategy
- Digital Transformation
- Energy Management
- Fabrication
- Glossary
- Inventory Management
- Manufacturing
- Metals
- Nightingale HQ and GoSmarter
- Production Planning
- Quality
- Research & Innovation
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