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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. Blog
Data 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? Blog
Rip it up and start again? Understanding the anatomy of a modern data ecosystem
We examine the anatomy of a modern data ecosystem and how to identify key capabilities in your existing technology stack. Blog
Technology + Culture: the makings of a modern data ecosystem
What makes a data-driven enterprise? Amplifi examines the relationship between culture and technology in a modern data ecosystem. Blog
Data Fabric: New Buzzword or Revolutionary Approach?
Mike Evans, Chief Innovation Officer at Amplifi discusses Data Fabric's potential to revolutionise the way enterprises manage, share and interact with their data within modern data ecosystems.
