Technology & Telecoms
Our Impact
£1.4bn+
Of growth opportunities assessed
6
Scale-up and market expansion engagements delivered
Technology and telecoms businesses invest ahead of returns, often at scale. Growth trajectories can look similar early on, even as underlying economics diverge over time.
Sustainable performance depends on capital efficiency, pricing power, and strategic focus as competition intensifies. De...
Sectors we serve
How we help
Market sizing and competitive analysis to assess scale economics and growth potential.
Prioritising growth where differentiation and economics support sustainable returns.
Designing monetisation models that balance adoption and margin.
Supporting acquisitions to accelerate scale, capability, or market access.
Our Approach
Our approach across technology and telecoms reflects how growth environments evolve.
Early momentum is often driven by adoption and investment. Over time, markets mature, pricing tightens, and capital disc...
Related Sectors
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Insights & Articles
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2024 AI In The Workforce Survey: Insights on Generative Artificial Intelligence and Perceptions and Expectations Among Professionals
UK workers have a complex relationship with generative AI and it's only getting more complex.
Data Processing Secrets Every Business Needs to Know
Data processing techniques can be used in a wide range of situations, including real-time and batch processing. However, there is a false divide between batch and streaming processing, making it harder for organisations to improve the quality and availability of information. Streaming technology can improve the cost, quality, and availability of data by combining batch and streaming processing, allowing businesses to make better decisions and predict costs in real time. Organisations should use a unified data architecture and combining batch and streaming processing to improve data quality, cost, and access to information. They should also have skilled workers and security measures in place. Evaluate data infrastructure, define data processing needs, implement unified data architecture, invest in employee training, and ensure data security and compliance to maximise benefits of data processing.
Five essential data best practices for data-informed businesses
Businesses must adopt five essential data best practices to ensure data quality, compliance, and security to drive performance and growth. Adopting five essential data best practices can help businesses effectively manage and capitalise on their data assets, driving performance, growth, and customer satisfaction.