Tag Archives: machine learning

Measuring Value in a Modern FS Data Platform: Framework for Understanding, Quantifying, and Communicating Data Value in FS

Measuring Value in a Modern FS Data Platform reframes how Financial Services organisations should evaluate data platforms. Rather than measuring pipelines, volumes, or dashboards, true value emerges from consumption, velocity, optionality, semantic alignment, and control. By landing raw data, accelerating delivery through reuse, organising around business domains, and unifying meaning in a layered Bronze–Silver–Gold–Platinum architecture, modern platforms enable faster decisions, richer analytics, regulatory confidence, and long-term adaptability. This article provides a practical, consumption-driven framework for CDOs and CIOs to quantify and communicate real data value.

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East/West vs North/South Promotion Lifecycles: How Modern Financial Services Data Platforms Support Operational Stability and Analytical Freedom Simultaneously

This article argues that modern Financial Services (FS) data platforms must deliberately support two distinct but complementary promotion lifecycles. The well known and understood North/South lifecycle provides operational stability, governance, and regulatory safety for customer-facing and auditor-visible systems. In parallel, the East/West lifecycle enables analytical exploration, experimentation, and rapid innovation for data science and analytics teams. By mapping these lifecycles onto layered data architectures (Bronze to Platinum) and introducing clear promotion gates, FS organisations can protect operational integrity while sustaining analytical freedom and innovation.

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Building a Team and Structure for Series A Growth

Lucy Bulley joined the Cyber Runway Scale programme to discuss the critical elements of team-building and organisational structure when preparing for Series A funding. She shared practical insights on hiring strategies, leadership development, and scaling operations to support high-growth cybersecurity startups.

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Revisiting the Home Office’s Big Data Initiative: A Success Story in Modernising Border Security

This article revisits the Home Office’s 2013 initiative to modernise border security using Big Data and Machine Learning. It highlights significant cost reductions, enhanced functionality through advanced data integration, and the strategic shift to open-source technologies, which improved security and flexibility. The piece also reflects on the challenges of avoiding vendor lock-in while strengthening UK border operations.

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Transforming Border Security: The Home Office’s Big Data and Machine Learning Strategy

In September 2015, I had the opportunity to represent the Home Office and Border Force in a panel discussion at an event covered by Diginomica, where we delved into the transformative potential of Big Data and Machine Learning technologies. Alongside industry leaders from Jaguar Land Rover and Zurich Insurance, I discussed how the Home Office is actively leveraging Hadoop and other open-source tools to modernise its data management and decision-making processes, particularly within border security operations.

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Exploring Real-World Applications of Hadoop and Big Data, with HortonWorks, Jaguar Land Rover, Zurich Insurance, and The Home Office

In a recent event, celebrating the opening of HortonWorks’ new London offices, three prominent organizations, Jaguar Land Rover, Zurich Insurance, and the UK’s Home Office, were invited to highlight their pragmatic use of Hadoop and big data technologies to extract value from unstructured data. I was pleased to be asked to represent the Home Office.

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