Data at the Edge

More data, more challenges, more concerns

Digital data is now a key source of value and differentiation for all businesses. Sectors as diverse as pharmaceuticals, automotive, retail, financial services and agriculture are being transformed by the ability to capture, process and derive insights in real-time from an exploding range of data sources.

Staying competitive means maximising the power of data.


of firms in 2019 invested more than $500 million annually in big data - a huge leap from 12.7% in 20181

150bn+ devices will be connected across the globe by 2025, most of which will be creating data in real time2

  1. ITIF, 2018. "Cross-Border Data Flows"
  2. MarketWatch, 2019. Managed MPLS Market 2019.

Traditional data architectures are falling down

New challenges in creating, storing, managing and using data are putting IT architectures under increasing pressure. Built on central data centres and hub-and spoke networks, traditional IT architectures are struggling to meet the demands of today’s data-driven businesses.

The data at the edge solution

By locating data closer to the people, applications, clouds and things that need to use it, businesses can solve many of the performance, cost and compliance issues associated with highly centralised architectures.

Businesses can also overcome many of the shortfalls of traditional IT architectures by utilising interconnection hubs to support a distributed data architecture.


Latency is reduced by storing and processing data closer to users significantly enhancing user experiences.


By reducing the volumes of data transiting private networks, transport costs are cut significantly


Organisations are better placed to monetise data assets and drive improved collaboration with partners, customers and suppliers.


Security control points in regional hubs and robust disaster recovery make data management, monitoring and protection across a global footprint much easier.


Each data asset can be stored in a location that is compliant with local data sovereignty regulations, while still being managed as part of an integrated, global architecture.


Organisations can take advantage of innovative approaches such as distributed analytics and cloud-based AI systems.

UNEOS works closely with Equinix, enabling you to realise the full potential of data at the edge.