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Intelligent Integrated Data Layer - See The Wood For The Trees
To gain the insights needed to drive better customer and operational outcomes, data silos must be broken down. Customer data and insights from across the journey, transactional data, and complaints need to be combined and triangulated to uncover the root causes of service failures and dissatisfaction. To fully realise the promise of AI, a data-driven approach and culture must be adopted. We help you build an integrated data layer, embedding AI agents and in-database machine learning to deliver insights where they are needed most. This layer can either integrate with your existing Data Warehouse or Lake-House.
Real Time Intelligence
The Intelligent Data Layer allows organisations to understand their data in real time, combining and triangulating multiple sources to generate actionable insights in real-time & pro-actively. By delivering real-time, data-driven intelligence, staff can make informed decisions instantly, prevent issues before they escalate, and continuously improve both customer experience and operational performance.
Integrating Customer & Asset Data
By integrating resident data with asset data, organisations gain the complete picture of their housing operations. This holistic view enables better management of vulnerability, strengthens safeguarding, and improves resource allocation. With insights spanning tenants, properties, repairs, and service interactions, teams can make smarter, more targeted decisions—delivering proactive, efficient, and resident-focused services.
Embedding AI Within Your Data
Embedding AI Within Your Data turns raw information into real-time intelligence. In-database machine learning and AI agents automatically read, classify, and interpret incoming data, including IoT streams, revealing patterns and insights that truly matter. The result: smarter decisions, proactive service, and a deeper understanding of what your data is really telling you.
AI Enhancing Data Quality & Completeness
Data Quality & Completeness are critical for effective decision-making. AI can “heal” incomplete or inconsistent data and extract structured information from unstructured sources such as emails, CRM notes, or service logs. By transforming messy, fragmented data into accurate, actionable insights, organisations can achieve a more complete view of operations, uncover hidden patterns, and drive smarter, data-driven decisions.