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Blog
Case Study | Empowering QS by delivering a single view of higher education institutions
Amplifi and QS worked together to deliver a single view of the world’s leading higher education institutions to further enable students to fulfil their potential. Blog
Data Integration 101
Data Integration helps organisations make sure their data is available when it's needed, where it’s needed, how it’s needed and in the right format. Blog
Voices | Data Mesh: Is a change in culture the key to unlocking value from your data?
Mike Evans, Chief Innovation Officer at Amplifi discusses how data mesh has the power to transform your data into a vital business tool - essential for informed decision-making and driving innovation. Blog
How can Data Virtualization accelerate your data transformation?
Transformation in manufacturing demands both speed and endurance. It's a sprint to capture quick victories and a marathon to forge lasting success. Blog
How can manufacturers harness their data to support business goals?
Manufacturing is under increasing pressure to remain relevant, innovative, and ahead of the curve. Here, we look at how their data can help them do so. BlogData Virtualization 101
Data Virtualization presents a modern approach to Data Integration. By seamlessly integrating and abstracting data from multiple sources, data virtualization empowers businesses to unlock valuable insights and make data-driven decisions. Blog
Then vs Now: Modern doesn’t have to be brand new
You don’t need to throw everything away and start from scratch to have a modern data ecosystem. Here, Amplifi looks at how to utilise what you have for maximum impact. Blog
The importance of our dedicated Stibo Systems practice at Amplifi
Creating value for new and existing Stibo Systems STEP customers through expertise and consultancy Blog
Why is customer data still an issue?
Collating and maintaining accurate, reliable data is crucial to understanding your customer, creating exciting and relevant data initiatives and supporting your business goals… so why exactly does customer data still present such an issue for retailers?
