Beyond: Putting Data to Work (previously Beyond Analysis)

Beyond is a data consulting firm that provides strategy and delivery services focused on turning data and AI into operational capabilities. The organisation positions itself as a provider of modular consulting and implementation services, with pricing and engagement durations specified for certain offerings in pound sterling, indicating a United Kingdom base of operations. Engagement descriptions and product names suggest work with enterprise clients across commercially oriented markets.

Services and Capabilities

• Data strategy and vision: development of data roadmaps, data asset assessments, and value identification processes to link data to commercial outcomes.
• AI and machine learning development: prototype and production model development, AI opportunity mapping, and AI readiness assessment.
• Analytics and business intelligence: design and delivery of analytics solutions, measurement frameworks, and reporting to track defined success criteria.
• Platform and cloud engineering: architecture and implementation work including Azure-based solutions.
• Workshops and rapid prototyping: short, intensive engagements to produce executive prototypes and concept validation.
• Change and transformation delivery: operating model design, agile delivery, and support for embedding data-driven processes into business operations.

Industry Focus

Work is aimed at commercial enterprises seeking revenue generation and efficiency improvements. Engagement outcomes described include lead generation, revenue pipeline creation, and cost reduction, indicating projects that intersect with sales, marketing, and operations functions across sectors served by enterprise consulting.

Technology and Delivery Approach

Delivery is modular and time-boxed, with modules described as delivering outcomes in multi-week increments (typically two to eight weeks). Recurring technical themes include cloud architecture (explicit reference to Azure), AI model development, data maturity and readiness assessments, integration of strategy with hands-on implementation, and the use of analytics and measurement frameworks to quantify impact. Methodologies referenced include agile delivery, design thinking, and change management, combined with frameworks named Data Maturity Assessment, AI Readiness Framework, and Value Realization Methodology.