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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.

Can AI outperform medical professionals in diagnosis?

Last year the Guardian - link no longer works reported that AI is 'equal to humans in medical diagnoses' when interpreting images, referring to a study published in Lancet Digital Health. The study revealed that AI 'deep learning' systems were able to detect disease 87% of the time and correctly gave the all-clear in 93% of cases (the equivalent success rate in healthcare professionals is 86% and 93%). This means that AI in healthcare is on track to support medical professionals, leading to faster, cheaper diagnoses and drug development. This will allow healthcare professionals to achieve more with their time and help more people.

7 tips for building a data culture that will strengthen your business

Data analytics has taken off but not everyone is on the same page. While some companies are already making waves with data science, others are still struggling with the basics. Curating a healthy data culture is ever more important now to prevent the gap from growing between those who are embracing analytics and those who are lagging behind.

Project management: Are you backing the right AI projects?

As an executive with an influence over whether your company implements AI and which projects it embarks on, there’s a lot of pressure on you to be successful. The future of AI within your company could rest on you on how your chosen projects perform.

Do you really need big data to start using data science?

All businesses generate data. Even the smallest business has access to hundreds, if not thousands, of interesting data points that they could explore. But it is not uncommon for business owners to think their data is small, inferior and not yet worth analysing. This is where they are wrong every time. Starting small is the best thing you can do, so we say, the time to start your first data science projects is now.

How to get AI to work for your business and enhance operations

Enterprise cognitive computing is the application of AI to enhance business operations. It has a wide range of applications including call handling, fraud detection and maintenance scheduling. ECC systems automate repetitive tasks and improve efficiency through fast search and information processing.

Florence Nightingale: Lighting the way in much more than healthcare

Many may think of Florence Nightingale as the incredible woman who reformed healthcare in ways that still impact the industry today, but at GoSmarter AI we admire her for an additional reason.

Building a solid foundation in data science

Steph Locke on building a solid foundation in data science We spoke to Steph Locke about how much experience is needed to build a solid foundation in data science and how to future-proof your tech skills.

Garbage In, Garbage Out – The pitfalls of bad data

What is it? In advance of our upcoming Data Science Bootcamp, we are pleased to announce an open evening to explore the importance of data quality. Talent Garden faculty member, Steph Locke – data scientist and Microsoft AI MVP talks Garbage In, Garbage Out – The pitfalls of bad data.

Tackling Tech Shortages

  • News
  • Aug 9, 2019
  • Updated

Tackling tech shortages - Talent Garden launches bootcamps in Data Science with industry faculty.

NatWest Accelerator

Nightingale HQ joins the NatWest Entrepreneur Accelerator Nightingale HQ started on the NatWest Accelerator this month as part of a continued programme of readiness, product development, and networking for Nightingale HQ.