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logo
  • What we do
  • How we do it
  • Why us
  • Resources
  • Contact us

Empowering businesses with Comprehensive Cloud Data Architecture

We designed a comprehensive Cloud Data Architecture and implementation plan for an insurance, finance, and holiday service provider, empowering them to leverage advanced analytics and become a market leader in data.

Situation

The client aimed to become a market leader in data by integrating advanced analytics into key areas of their business. However, they faced significant challenges: • The company had grown organically over time, leading to independently evolved divisions and channels. • Despite having vast amounts of data related to customers and products, the lack of integration, coordination, and collaboration resulted in missed opportunities. • There was a need to assess the current data challenges and propose a practical and technical solution to unify their data landscape.

Approach

• Conducted a thorough assessment of the current data architecture and methodologies, engaging with eight stakeholder groups and over 50 client SMEs and team members. • Provided a detailed analysis of the architectural components and data capabilities required by the client. • Developed a future state architecture and a comprehensive implementation roadmap to create a consolidated data and analytics capability, based on a modern data architecture framework. • Established a data governance framework and collaborative processes to ensure robust ways of working across all business units. • Integrated prioritized datasets to form a single data asset for key reporting and analytics needs.

Impact

• Identified and ratified significant cost benefits, demonstrating how a £1 million investment could deliver £6 million in value over three years. • Established the key foundational elements of the program, including data governance, collaboration, and robust operational processes. • Created a detailed program implementation plan that enabled the seamless integration of datasets into a unified data asset. • Incorporated and advanced the training and activation needs to ensure the data platform was effectively utilized and maintained by the combined delivery team. • Enabled the client to leverage advanced analytics, driving better decision-making and positioning them as a market leader in data.

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