Data Analysis

TMD Technologies Manufacturing Case Study

TMD Technologies Limited (TMD) is among the world’s leading manufacturers of microwave tubes, high voltage power supplies, and transmitters for radar and communications applications. We helped them improve their back-office operations by deploying no code digital tools and delivering technical training. ​

Europe’s Digital Strategy and Manufacturing

• Ruth Kearney
• Offerings

Data in manufacturing could have a net benefit of €1.5 trillion by 2027 so the European Digital Strategy needs to help realise that benefit. The strategy will help make common data spaces available and support cloud infrastructures to assist manufacturers.

What is Google Cloud BigQuery?

• Mia Hatton
• Glossary , Tech stacks

BigQuery is a fully-managed, serverless cloud data warehouse that scales with your needs and is easy to set-up and manage. By adopting BigQuery, you can avoid the hassle of developing and managing the infrastructure needed to store large, complex datasets, allowing you to focus on gaining insight from your data.

What is Python?

• Mia Hatton
• Glossary , Tech stacks

Python is a popular programming language with a wide variety of applications including data science, web development, scientific computing, and software development.

What is Google Cloud?

• Mia Hatton
• Glossary , Tech stacks

Google Cloud is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube. It provides pay-as-you-go access to vast data storage and computing capabilities and allows you to scale the costs as you grow.

What is Azure?

• Mia Hatton
• Glossary , Tech stacks

Microsoft Azure is an ever-expanding set of cloud services to help your organisation meet your business challenges. It’s the freedom to build, manage and deploy applications on a massive, global network using your favourite tools and frameworks.

What is Jupyter?

• Mia Hatton
• Glossary , Tech stacks

Jupyter is a suite of products that support data science and scientific computing, including Jupyter Notebook, JupyterHub and JupyterLab. It is 100% open-source software, free for all to use and released under the liberal terms of the modified BSD license.

What is AWS (Amazon Web Services)?

• Mia Hatton
• Glossary , Tech stacks

Amazon Web Services is a cloud computing platform that provides customers with a wide array of cloud services. We can define AWS (Amazon Web Services) as a secured cloud services platform that offers compute power, database storage, content delivery and various other functionalities.

What is Power BI?

• Mia Hatton
• Glossary , Tech stacks

Power BI helps teams implement business intelligence with ease. It is relatively simple to start building dashboards of interactive visualisations from a range of data sources, so you can start to see actionable insights very quickly.

What is the Internet of Things?

• Mia Hatton
• Glossary

The internet of things is everywhere, and the best way to start explaining it is to have a look around you. If you have a wireless printer, a thermostat, or a virtual voice assistant, you have IoT devices within your home, and you can probably control them all from your tablet, phone or assistant, as they are all connected to the internet.

What is AI?

• Mia Hatton
• Glossary

Artificial intelligence is a technology that can ‘think’ in a human-like way. It is a diverse area of computer science that enlists tools such as machine learning and image processing to recreate and build upon the complex capabilities of the human brain.

What is AWS Redshift?

• Mia Hatton
• Glossary , Tech stacks

Amazon Redshift is a cloud-based data warehousing solution that allows you to store, transform and query vast volumes of data at high speed.

What is data platform development?

• Mia Hatton
• Glossary , Offerings

A data platform is a service that includes data collection, storage and analysis. Developing a data platform creates a central service that encompasses a data warehouse, business intelligence tools, and a suite of data science and analytical environments.

What is data platform auditing?

• Mia Hatton
• Glossary , Offerings

Data platform auditing reviews your data platform against fitness for purpose measures such as security, compliance and structure. This helps businesses ensure compliance and protect assets and data, by reviewing and improving the security of your data platform.

What is data platform security auditing?

• Mia Hatton
• Glossary , Offerings

Data platform security auditing reviews the security of your data platform and provides recommendations for improvements. This helps businesses ensure compliance and protect customer data.

What is business intelligence?

• Mia Hatton
• Glossary , Offerings

Business intelligence refers to the systematic collection, integration, analysis and reporting of data from all areas of your business - from finance and sales to worker productivity - to drive better decision making.

What is data warehousing?

• Mia Hatton
• Glossary , Offerings

Data warehousing refers to building a system that can store large volumes of data from several sources, as a central repository from which all other systems can access the data efficiently.

What is data visualisation?

• Mia Hatton
• Glossary , Offerings

Data visualization is the graphic representation of data. It involves producing images that communicate relationships among the represented data to viewers of the images. Data visualisation empowers all of the teams in your organisation to make data-driven decisions and act on insights from your data.

What is Azure Batch?

• Mia Hatton
• Glossary , Tech stacks

Azure Batch is a service that manages the workload of applications. It is designed to take the workload that is greater than the capability of your application, and divide it between a number of nodes - virtual machines (VMs) - that can each run your application and perform different parts of the workload in parallel.

What is Azure Data Factory?

• Mia Hatton
• Glossary , Tech stacks

Azure Data Factory is a cloud-based data integration service. It does not store data itself, but allows you to create and monitor automated workflows that collect, integrate, and (to some extent) transform large volumes of data from disparate sources, and pass them on to other services that can store, transform, analyse and use the data.

What is data collection?

• Mia Hatton
• Glossary , Offerings

Data collection is the process of gathering and measuring information on targeted variables in an established system. Data collection helps businesses evaluate and improve internal operations, evaluate performance, solve business problems, better understand customers and how to serve them, and make better decisions.