Watch Taking a Sledgehammer to Bottlenecks 🎥 as Ruth & Steph show how AI actually fixes margins.

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.

MLOps is like process engineering for Data Science

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 Science

Innovation funding with EIC Accelerator

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 Accelerator

Digital Supply Chains and why you need one

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 one

Digital Twins and AI for manufacturers

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 manufacturers

Microsoft Build 2021 announcements for manufacturers

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!

Read More: Microsoft Build 2021 announcements for manufacturers

Smart Manufacturing is all about Real-Time Data Analytics

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.

Read More: Smart Manufacturing is all about Real-Time Data Analytics

Announcing GoSmarter In A Day

Our GoSmarter In A Day workshops solve one problem like processing Accounts Payable incoming invoices to demonstrate the value such automation can bring.

Read More: Announcing GoSmarter In A Day

European AI Act

The European Commission proposes new rules and actions aiming to turn Europe into the global hub for trustworthy Artificial Intelligence (AI).

Read More: European AI Act

Data Champions are critical to your success in digitally transforming

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!

Read More: Data Champions are critical to your success in digitally transforming

Reports supported by AI & automation

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.

Read More: Reports supported by AI & automation