Data Fabric:
An Agile Solutions Guide

You have an exciting, data-driven vision for your business’s future – but is your existing architecture able to support it?

As your demands on data change, you need an ecosystem that is fast, flexible and scalable to enable you to extract the full value from your data. It needs to integrate multiple data sources, multiple environments, multiple applications and, most importantly, an ever-growing volume of data – to make data an accessible resource across your enterprise.

Could Data Fabric be the right solution for you?

Data fabric can help organisations to improve agility, efficiency, and decision-making by providing a single view of data that is accessible to all users. It can also help to reduce the time and cost associated with data management and analysis.

In this in-depth guide to Data Fabric, you’ll find resources to help you answer your most pressing questions about Data Fabric:

  • What is Data Fabric?
  • Why do I need it?
  • What benefits will it bring to my business?
  • Is now the right time to implement Data Fabric?
  • Do I need to rebuild my ecosystem from scratch?
  • What are the key elements I need in my Data Fabric?
  • How can I choose the right technologies to build my Data Fabric?

By introducing a Data Fabric to your organisation, you can truly democratise your organisation’s approach to data: dismantling silos, removing barriers to data applications, and enabling every department to explore opportunities with data. This new approach to how you organise your data systems, process and outputs will ultimately allow you to:

  • Get commercial value from new ideas quickly, increasing your agility.
  • Drive business improvements by creating a value chain that relates data sources with useful insights.

Data Fabric isn’t a short-term answer to your data challenges: it’s a foundation that will transform how your organisation interacts with data long into the future. To find out if it’s the right solution for your enterprise, download the data fabric guide.