DATABELT USE CASES
One Platform.
Multiple data challenges.
From preparing information for AI and meeting regulatory obligations to investigating fraud, reducing unnecessary data and integrating complex systems, DataBelt helps organisations turn fragmented information into actionable intelligence.
DataBelt combines discovery, classification, search, analysis, governance and data-management capabilities in one comprehensive platform. Explore the challenges it addresses and the ways organisations have put it to work.
EXPLORE THE SOLUTIONS
Find the challenge you're solving.
Start with a business need. Each use case explains the challenge, the DataBelt approach and relevant customer experience.
USE CASES IN PRACTICE
Business challenges. Practical outcomes.
The examples below show how DataBelt's capabilities can be applied to specific operational, regulatory and commercial challenges. Expand each customer example to read the challenge, approach and outcome.
01 AI Readiness
Prepare your data for intelligent decisions.
AI applications and agents depend on reliable, relevant and appropriately governed information. DataBelt helps organisations discover, assess and optimise their information before introducing AI, creating a stronger foundation for consistent decisions and automation.
Related industry: Real Estate & Property
Preparing enterprise data for AI agents.
A major property organisation wanted to introduce AI agents to automate business processes. It first needed to identify and address redundant, obsolete and trivial information that could undermine the reliability of those processes.
02 Privacy & Compliance
Find the information that matters. Respond with confidence.
Privacy requests and information disclosure often require searches across disconnected systems. DataBelt helps teams locate, classify and manage relevant information while supporting controlled workflows for regulatory and statutory obligations.
Related industry: Policing & Public Safety
CUSTOMER EXAMPLE - POLICING
90%
Reported reduction in reported time and cost per request
A major UK police force was receiving as many as 400 subject access and Freedom of Information requests per month, creating backlogs and pressure on statutory response deadlines.
Transforming subject access and information disclosure.
03 Data Optimisation & Value
Reduce information complexity. Unlock business value.
Information has both a cost and a potential value. DataBelt supports the discovery and assessment of redundant, obsolete and trivial data while helping organisations understand which datasets deserve investment, protection or responsible commercial use.
Related industry: Retail & Consumer; Real Estate & Property
A major high street retailer wanted to identify which datasets held commercial value and whether selected information could improve supply-chain performance or support new revenue opportunities.
Understanding the commercial value of enterprise data.
RELATED - REAL ESTATE
The AI readiness example also demonstrates how DataBelt's discovery, classification, EDM workflows and Data Quality Index can support controlled data optimisation.
Identifying ROT data before AI deployment.
04 Investigations
Connect evidence across complex information environments.
Investigations rarely involve a single dataset. DataBelt brings together structured records, unstructured documents, communications and relevant external intelligence to help investigators uncover relationships, reconstruct events and prioritise further action.
Related industry: Financial Services
An international merchant bank needed to investigate potential fraud in business loan schemes introduced during the COVID-19 pandemic, drawing together due diligence, approval records and communications.
Investigating potential fraud across complex financial data
05 M&A & Data Integration
Understand what you're acquiring. Integrate with confidence.
Acquisitions and large-scale consolidation projects depend on the quality, completeness and relationships within underlying information. DataBelt supports due diligence, mapping, cleansing, transformation and validation for complex data estates.
Related industry: Pharmaceuticals and Life Sciences; Financial Services and Pensions
A pharmaceutical company considering the acquisition of an R&D business needed to understand whether the quality and value of its research information supported the proposed purchase price.
Assessing research data value during an acquisition.
RELATED - PENSIONS
A pensions adminstration organisation needed to consolidate structured datasets from multiple schemes, addressing inconsistent schemas, incomplete records and data quality issues.
Integrating large pension datasets for scheme consolidation.
06 Legacy Data
Modernise systems. Keep control of legacy information.
Retiring legacy systems starts with understanding the information they hold - including records in historical formats such as microfiche. DataBelt helps organisations discover, classify and assess this data before deciding what to retain, migrate, archive or securely dispose of.
Related industry: Supply Chain & Logistics; Financial Services; Government & Public Sector; Healthcare; Manufactufacturing
A supply chain organisation undertaking business transformation wanted to modernise its technology estate and retire outdated systems. DataBelt supports discovery and assessment across legacy applications and even historical media such as microfiche, helping reveal records that may otherwise be poorly understood or overlooked.
Modernising supply chain systems and retiring legacy applications.
Additional Specialist Use Case
Security and operational resilience.
DataBelt's capabilities can also support operational monitoring and controlled response workflows, including the discovery and management of digital certificates.
Related industry: Travel & Hospitality; Supply Chain & Logistics; Financial Services; Government & Public Sector; Healthcare; Manufactufacturing
A major UK holiday group had suffered a significant booking-site outage after a security certificate expired without warning. The outage occurred during a peak period, with estimated losses exceeding £1 million.
Preventing disruption through certificate lifecycle management.
HOW THE PLATFORM WORKS
Zero-move discovery. Controlled action when required.
DataBelt's core discovery and indexing approach creates a virtualised data lake. It crawls sources in read-only mode and creates a separate searchable index while master data stays in its original location.
EXPLORE BY INDUSTRY
Different industries. Different challenges.
The same DataBelt platform supports different outcomes across sectors. Use the Industries page to explore sector-specific priorities and the relevant examples shown here.