Consulting Services Directory
Our practical advisory services help UK businesses manage their data assets. Whether mapping existing systems, planning executive dashboards, or preparing for advanced automation, we provide clear, actionable guidance.
Data Strategy & Audit
Purpose: Establish a clear baseline of current data assets and technical debt.
Value: Prevents costly technology investments based on poor foundations.
Starting Info: Current system architecture and business goals.
We map data ownership, quality gaps, and outline a realistic roadmap for improvement.
View Strategy ServicesBusiness Intelligence Dashboards
Purpose: Translate operational data into readable, decision-ready formats.
Value: Surfaces critical KPIs efficiently and standardises reporting.
Starting Info: Defined metrics and accessible data sources.
Implementation depends on business requirements and source data reliability.
View BI ServicesReporting Design
Purpose: Structure reports to align with executive decision routines.
Value: Reduces cognitive load when reviewing weekly or monthly performance.
Starting Info: Current static reports and management meeting agendas.
Practical advice on layout, cadence, and data validation rules.
AI Readiness
Purpose: Assess structural preparation for machine learning and LLM use.
Value: Identifies risks, privacy concerns, and viable pilot projects.
Starting Info: Business problem definition and existing data governance policies.
AI outputs require human verification. We help build those review frameworks.
View AI ReadinessAutomation Workflows
Purpose: Replace repetitive manual data manipulation with scheduled logic.
Value: Frees staff time and reduces copy-paste errors.
Starting Info: Manual process mapping and access to source APIs/databases.
While highly efficient, human review of exception reports remains important.
View Automation ServicesETL Pipelines
Purpose: Extract, transform, and load data from multiple systems into a warehouse.
Value: Creates a single, consolidated source of truth for reporting.
Starting Info: Source system credentials and data volume estimates.
Essential infrastructure before scaling analytics or deploying advanced AI.
Data Governance
Purpose: Establish rules, responsibilities, and standards for data usage.
Value: Supports compliance efforts (e.g., UK GDPR) and maintains data quality.
Starting Info: Organisational chart and current data access protocols.
Provides the policy framework required for secure business operations.
LLM & RAG Planning
Purpose: Design secure internal knowledge bases using Retrieval-Augmented Generation.
Value: Allows teams to query internal documents safely without training public models.
Starting Info: Document repositories and permission matrices.
Requires stringent permission controls and ongoing quality assurance.
Unsure where to begin?
Every organisation's data landscape is unique. We recommend starting with a preliminary data review to identify immediate quick wins and outline long-term structural needs.
Request a Data Review