Insight:

Data transformation enablers

The need for rapid innovation to unlock opportunities or streamline operational processes is often blocked by the complexity of the underlying data transformation that causes many data projects to fail.  Traditional data architectures and approaches to solution delivery create a number of business challenges:

  • Solutions do not scale
  • Inadequate processing power
  • High cost of operation
  • Restricted ability to handle structured and unstructured data
  • Not adaptable to changing business requirements
  • Users cannot access the data in the format and timeline they demand

To help companies address these issues Xyenta provides a full range of services to support the delivery of cloud technology enabled unified data platform solutions.  

Our architect-led approach ensures your return on investment with a range of architecture and advisory services to help companies make the right decisions and optimise data technology investments. 

Our certified data engineers design, build and manage robust cloud and on-premise data platform solutions needed to deliver downstream visualisation and processes automation solutions.  The data engineers work alongside our software developers to build bespoke solutions that deliver fully integrated applications and a customised user experience.

Delivering a modern data platform

A major client had recognised the limitations and growing cost of managing a traditional on-premises data warehouse.  A Xyenta Cloud Architect helped the client to shape the strategy needed to achieve their future-state data architecture and then led the engineering team to deploy the data platform.  Both parties invested in the partnership to achieve a seamless delivery model.  The phased build approach leveraged the initial investment in a robust solution framework enabling our engineers to deliver a solution prioritised by business need. 

As a data technology company, Xyenta builds solutions to exacting IT standards that are simple to operate and architecturally robust and scalable.