Transforming regulatory content into regulatory intelligence

Tracking and capturing global financial regulation to create a complete and accurate source of regulatory content is the vital first step of any regulatory change management process. But regulatory content alone – without any enrichment or downstream automation – has limited value.

Presented with a mass of unstructured, ‘unintelligent’ regulatory data, as with most regulatory data feeds in the market today, you will spend more time manually classifying and interpreting it than you will have saved by automating its capture. You may never be certain that you know which regulations are relevant to you.

The challenge is to convert one-dimensional regulatory content into value-laden regulatory intelligence, enabling you to slice, dice, manipulate and map the data, however you need to, to understand its impact on your business.

3 key ways CUBE adds intelligence to regulatory content

1. Machine-automated classification and tagging

Most compliance teams faced with the prospect of having to classify 6,000 regulatory rulebooks, each with one million regulatory paragraphs, against a specific regulatory theme such as AML, would wince at the time, cost and human resource implications. Such a task takes several man-years to complete manually, and requires a large team of high-cost regulatory experts, each applying subjective interpretations that are inconsistent and often wrong.

CUBE DRP machine-reads regulation at huge scale, and can complete this same task in just two hours!

Leveraging Natural Language Processing (NLP), all regulatory statements are automatically tagged at document, section, paragraph and sentence level. CUBE DRP utilizes a single unified schema that enables highly-granular filtering and contextual analysis.

2. Relevance ranking

CUBE DRP applies advanced NLP to perform in-depth semantic analysis on every regulatory statement, to further enrich regulatory intelligence.

Each item of regulatory content is automatically ranked for relevance to specific regulatory topics, ensuring that no obligation is missed and that the risk of regulatory failures is avoided.

3. Best practice taxonomies and data models

CUBE’s international team of regulatory experts has developed a broad range of thematic taxonomies and applied ontological principles to them, to create best practice regulatory data models that aid mapping and interpretation. Examples include cybersecurity, NIST, ITIL, technology risk, AML, GDPR, MIFID and insurance.

CUBE DRP automatically maps our customers’ own business taxonomies to these best-practice models, identifying all regulatory obligations relevant to you, in an instant – by regulatory topic, jurisdiction or business function.

Enriching regulatory content to add intelligence

CUBE DRP - Step 2

SIMPLY TELL US YOUR REGULATORY CONTENT REQUIREMENTS AND

CUBE DRP CAN AUTOMATICALLY DELIVER ALL RELEVANT DATA

For a deeper dive visit www.cube.global

or email connect@cube.global

Enrich regulatory content with CUBE

Driven by Artificial Intelligence (AI), Natural Language Processing (NLP) and Robotic Process Automation (RPA), CUBE delivers exceptional automation of the entire regulatory change management lifecycle.

Key features: regulatory data enrichment

• The world’s richest source of global financial services regulatory intelligence, supporting fast and cost-effective remediation, and mitigating compliance risk

• Automated conversion of all regulatory content into XML, regardless of source format

• Automated translation of all regulatory content into English, required for NLP machine-reading

• Ultra-high-speed machine-reading and classification of regulatory data, regardless of source format

• Automated tagging of all regulatory statements, at very precise level: document, section, paragraph and sentence, to support highly-granular filtering and context analysis in downstream processes

• Access to best practice data models, designed and built by CUBE regulatory experts, relating to a wide variety of regulatory topics, business functions, jurisdictions or industry-standard frameworks

• Automated ranking of all regulatory content, by relevance to specific regulatory topics, jurisdictions and business functions

• Sophisticated, rules-driven workflows ensure snag-free automation of the end-to-end regulatory change management process

© 2019 Cube Content Governance Ltd. All rights reserved. 11/9

Simplify the Regulatory Change Management Process with CUBE DRP

Track ConnectEnrich EvaluateContinuously capture all global financial services

regulation

Automatically map regulatory intelligence to your own

policies and controls

Transform regulatory content into regulatory

intelligence

Assess regulatory impact quickly, for rapid remediation

of policies and controls

Why choose CUBE?

• Vast time and cost savings through automation. Spend more time on high-value work by eliminating repetitive manual processes

• Continuous monitoring of global regulatory data sources, 365/24/7

• Scalable compliance accommodating exponential growth in information, regulations and business operations

• Avoidance of enforcement fines resulting from incomplete or inaccurate regulatory intelligence

• Defensible audit trail enabling you to evidence that your regulatory intelligence provides all relevant data required to ensure regulatory compliance

• Lightweight, versatile infrastructure (SaaS) that deploys quickly, scales easily and requires no internal IT overheads or maintenance

• Seamless integration with pre-existing systems and processes, via CUBE’s Open API connectors