RiskTech100 2027: why our recognition matters to your compliance processes

Why RiskTech100 2027 matters

Dataware has received the RiskTech100 2027 Disruptor Award – Risk Intelligence and Data Management, presented by Chartis Research.

Recognition in the Risk Intelligence and Data Management category is particularly significant because it reflects the intersection of two capabilities that are becoming increasingly difficult to separate in modern compliance processes: having reliable, relevant data and being able to use that data at scale through technology and automation.

For organisations managing screening, monitoring and due diligence, the challenge behind this recognition is very practical: how can these activities be scaled without increasing manual work, operational backlogs and complexity at the same rate??

A significant part of the answer lies in the data. Data needs to do more than simply be available. It must be structured, up to date and ready to work within the systems and processes organisations already use. This is the direction Dataware is pursuing: financial crime data designed from the outset to support automation and integrate with existing systems and workflows.

For Dataware, the award is an important validation of the direction we have taken, but more importantly, a commitment to continue developing it. Because as the volume of information and controls increases, the answer is not simply to have more data. It is to make that data work better for the people and processes that rely on it.

More controls should not mean more manual work

The number of subjects to be screened, the volume of available information and the frequency of updates continue to increase. For compliance teams, this can create a difficult trade-off: greater access to information can also mean more results to review, more changes to assess and more repetitive activities to manage.

Automation can help change that dynamic.

But for an automated process to work effectively, the data feeding it must be structured in a way that systems can interpret and use, rather than simply being presented for human review. This requires careful work on data structure, categorisation, relationships between entities and events, record updates and the way information can be transferred and integrated.

The objective is straightforward: enable teams to spend less time managing information and more time focusing on the situations that genuinely require assessment.

Data designed to work with automation

For Dataware, this principle starts with the way data itself is built.

Not simply data to be consulted, but data designed to work.

Data structured from the outset so it can support screening, monitoring and analysis processes, including when these activities are embedded within an organisation’s own systems and workflows.

We design data with machine use in mind from the outset. This is what we mean by machine-readable data by design: information is organised and structured so that it can be used by technology, not only read by people.

For customers, the benefit is operational: financial crime intelligence can be used within the architecture they already have, reducing the need for manual steps simply to transform information into something the process can use.

About Chartis Research

Chartis Research specialises in research and analysis of the global risk technology market, with a focus on areas including risk, compliance and financial crime. Its RiskTech100® is an annual assessment of leading risk and compliance technology providers worldwide.

A track record of recognition in financial crime

In recent years, Chartis Research has recognised Dataware across several areas of financial crime and risk technology:

• RiskTech100® 2027 — Disruptor Award, Risk Intelligence and Data Management
• Financial Crime and Compliance50 2026 — Market Disruptor – Gold (read more)
• AML Transaction Monitoring Solutions 2026 — Point Solution
• Watchlist & Adverse Media Monitoring Solutions 2025 — Category Leader in Watchlist Monitoring – Name & Transaction Screening Solutions and Best-of-Breed in Watchlist Adverse Media Monitoring Solutions

Read more “Category Leader and Best-of-Breed in Watchlists & Adverse Media solutions”