Realize every step of your data journey under one digital platform
Adopt a comprehensive data governance solution to comprehend your organization’s data, build data reliability, and facilitate a federated communication approach amongst your data community.
With MEGA HOPEX for Data Intelligence, you can facilitate collaboration between business users and data actors, set and share a common understanding, and get the right insights to implement data governance and manage data privacy and compliance efforts.
Automatically discover and document any metadata to create a Data Catalog
Accelerate data compliance and assess data quality using Data Compliance
Automatically create data models from physical databases and reverse engineer into conceptual models using Data Architecture
Create a shared business language for the whole company with a Business Glossary
Assess and comply with global data privacy laws with Privacy Management
MEGA HOPEX Platform for data governance
Smart: Enable data-driven decisions
- Persona-based dashboards: Monitor the ongoing performance of your projects using dashboards that are tailored for each main stakeholder.
- HOPEX 360 Enterprise Portal & ID Card mobile apps: Share insights across your organization with a ready-to-use enterprise portal and mobile apps (available on- or off-line).
- Out-of-the box reports: Analyze and understand your data assets with access to more than 20 standard reports.
Automated: Improve productivity for the teams
- Accelerate your data compliance with UCF: Retrieve any up-to-date regulation from the UCF Repository. Directly implement rules in a shared Data Policies Repository.
Connected: Create synergies and foster collaboration
- Central repository: Create synergies between stakeholders using a single source of truth that connects business, IT, data, and risk perspectives.
- Integrations: Speed up time-to-value with out-of-the-box and custom integrations to collect data from external sources.
- Intuitive and collaborative workflow: Simplify collaboration by setting up validation workflows to build and validate your data repositories and models.
Accelerate data governance implementation with out-of-the box integrations
Generate models directly from your relational databases by connecting your source databases to the HOPEX repository and retrieve metadata structure for your data catalog.
Use a built-in connector to generate your models directly from your relational databases by connecting your source database to the HOPEX repository and retrieve metadata structure for your data catalog.
Use a built-in connector to industrialize metadata discovery from Hadoop to create data catalogs.
Use a built-in connector to industrialize metadata discovery from SAP HANA to create data catalogs.
Use a built-in connector to industrialize metadata discovery from Salesforce to create data catalogs.
Leverage Microsoft Teams workspaces to simply chat and share data catalogs, data models, and analytics that foster collaboration.
Rapidly import and upload Excel data and Visio diagrams into the HOPEX platform, as well as export data into PowerPoint, Excel, and Word to easily share and consume documents across the organization.
Perform any custom integration with third-party products using simple, efficient, industrialized GraphQL and REST APIs that can easily evolve as your business needs change.
Benefit from a data lineage platform that provides full visibility and control of your data pipeline. Scan your data environment to build an intuitive map of data flows and get a comprehensive view of data environments to inform critical business insights thanks to this integration.
Work in a standardized manner by using datagovernance and data modelling frameworks
HOPEX supports the DMBOK ® V2 for data governance and metadata management.
Use HOPEX to create static and behavior UML diagrams in UML 2.3.
Use HOPEX to ensure EU residents’ data meets the General Data Protection Regulation (GDPR).
Use HOPEX to ensure your California resident data meets the California Consumer Protection Act (CCPA).
Use HOPEX to import aggregate risk data, implement underlying data governance and infrastructure, and address data quality to perform data modelling that follows Basel III, the international regulatory framework for banks.
Use data requirements BCBS 239 (The Basel Committee on Banking Supervision, Principles for effective risk data aggregation and risk reporting) to strengthen banks’ risk data aggregation and internal risk reporting that enhances risk management and decision-making processes.
Implement Solvency II data requirements that focus on the European Union Directive for insurance companies to ensure that data used to calculate technical provisions are appropriate, complete, and accurate.
Retrieve regulatory content from UCF® (Unified Compliance Framework) that maps and harmonizes more than 10,000+ controls to more than 1,000+ regulations and standards to streamline compliance initiatives and reduce costs.
Core data intelligence use cases
Automatically discover any metadata to accelerate data catalog creation and improve data knowledge.
Measure and monitor data quality and compliance using assessment campaigns.
Ensure personal data usage is compliant with data privacy laws and regulations.
Automatically build a business glossary initialized from your data catalog and collaborate on a common language.
Quickly build a visual representation of physical, logical, and conceptual data models using database reverse engineering to improve data knowledge.