We are a cross-functional team of data scientists, engineers, designers and domain experts with particular expertise in finance, risk and regulatory data.
Our work is driven by our clients … leveraging ConTXT, our open data platform, to deploy solutions faster, smarter and safer.
Our work is driven by understanding our clients' challenges to inform ideas for a user-led development process. Our passion is building value for clients by combining data science, engineering and analytics via digital cloud or on-premise solutions. Leveraging ConTXT, our open data platform, allows us to deploy solutions for clients faster, smarter and safer.
A top 10 global bank struggled to manage and understand its complex array of data flows used for critical reporting to the UK regulator.
JC Chapman designed and extended ConTXT, our data platform, to allow business users to visualise data lineage, models and validations, built with a priority on user experience.
Banks are drowning daily under the wave of new and updated regulations released globally. Our client, a major global bank needed to rapidly incorporate new requirements released by a UK regulator within a very tight timeframe.
We leveraged our ConTXT platform to automate the transformation of the regulator’s schema into relational tables along with 1000+ validation rules as per our client’s technical specifications. We also imported all terms, definitions and enumerations into system tables from regulator-provided Word documents and Excel templates and produced thousands of rows of test data, including incorporation into regulatory forms, to test the bank’s data aggregation workflow.
Our client is an S&P 500 analytics company whose growth has been inhibited by bespoke customer work. Instead of being able to leverage previous work, each engagement required the costly effort of starting implementations from scratch.
JC Chapman is leading a digital transformation to deliver a scalable product strategy, agile processes and cloud architectural runway. With this in place, our client will be able to increase revenues, decrease costs and scale resources by rapidly deploying proof-of-concepts and customer-specific implementations from a common product platform.
Business users regularly write business rules that are transformed into code (such as SQL) by software engineers. This results in significant manual effort and errors as software engineers are typically not domain experts familiar with the business logic these rules are trying to implement.
JC Chapman, in partnership with University of York, was awarded a grant from the UK Government’s innovation agency ‘Innovate UK’ for research and development of an ‘Open Rules Platform’. With participation from a working group of major financial institutions, JC Chapman led research into how to enable any community of users to easily develop and exchange automated business rules, particularly for data quality. Its natural language implementation enabled business users to directly author and implement rules.
Towards a Framework for Writing Executable Natural Language Rules
The critical reporting function of a top 10 global bank struggled with delays and errors due to inconsistencies in the data used across its business functions.
JC Chapman’s team developed a data dictionary working between all related business areas and the bank’s global data office, ensuring the dictionary complied with the data policies set by the central data office. We advised the data office on an underlying data model to use for organising the dictionary and related hierarchies. We worked between all related business areas to conduct a review of the definitions proposed and provided the dictionary in a format enabling upload into the bank’s glossary system.
… through our growth cycle of innovation.
Our approach to digital design, engineering and analytics is a growth cycle of innovation. We take you from your vision to its successful execution through rapid iterations of design and deployment, gathering feedback to learn and provide a continuous loop of improvement and growth. A growth cycle to position you as a leader in your industry.
… let us know how we can help.
For a successful digital solution, JC Chapman experts work with your business to understand its challenges and explore opportunities where and how technology can provide the greatest benefits. But success is not just about technology. Working with key stakeholders we identify possible issues and ways forward through a clear and agile implementation roadmap; a roadmap that plans for rapid iterations of testing where our UX experts gather feedback to ensure a great user experience, bridging gaps in processes with complementary operating models, establishing an architectural runway for continuous implementation and deployment and maximising the overall value achieved for your business.
Through a lean innovation and exploration cycle, our UX specialists will take you from initial idea to deployed solutions, with a customer-driven focus at all times. Our vision-to-execution methodology, starts with understanding your vision, goals and challenges to define a solution strategy with measurable objectives forming a clear roadmap. A lean, agile toolkit of ideation, design sprints, MVP’s and rapid iteration will provide immediate user feedback to ensure you stay on the path to success.
Needs can vary dramatically depending on a business, its challenges and its goals. Leveraging our deep engineering experience, our experts look at each business' needs to determine the right solution architecture that will provide the greatest value. Through our engineering toolset, we can customise the implementation to integrate it with existing business architecture and provide future scalability.
Data is your most valuable asset and your business growth greatly depends on the insights you gain from it and the processes it can be used to automate. Our engineers and scientists will help you maximise the value your data provides to your future success, including:
- Setting up data pipelines to gather, clean and transform data;
- Machine learning and models to structure and automate data;
- Analytical algorithms to discover insights and inform decisions; and
- Visualisations to communicate, report and share.