Modern engineering, governance and practices with technologies that modernise, comply and secure.
Provide foundations across governance, processes and automated data management to ensure data quality is maintained
Design and implement intelligent platforms with a product approach, capable of supporting modern systems and data architectures
Transformation of data, applications and business processes through modernisation, linking technology as a force multiplier to value
Simplification and rationalisation of data and legacy systems with minimal disruption to vital organisational processes
Moving from legacy systems with traditional processes and workflows can be a monumental task for the enterprise. A data-driven approach is de-prioritised or very difficult when data resides in silos. A single warehouse or lake solution often cannot handle all the data needs for the business and its applications.
Ensure modernisation strategies, priorities and approaches are well aligned to business objectives
Enable the organisation with detailed understanding of data product for enterprise wide domain consumption
Unlock data with robust platform and guardrails for fast and reliable access to quality data for timely decisioning
Solve complex problems that empowers innovation and broader transformation initiatives
Enable modernisation with key data strategy, roadmap, maturity assessment and operating model clarity for the path forward.
Define key use cases that drive modernisation prioritises and align with compliance activities.
Implement resilient data platforms capable of supporting modern data architectures coupled with automation.
Ensure data management and governance is built in for data quality and regulatory requirements.
Modernise applications and legacy systems across business domains for increasing value.
How V2 helped a large media organisation improve efficiency and customer experience
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