QuantHub adds power and flexibility to the data delivery process by offering various channels of data dissemination.
Convey your data insights via powerful data-driven Portals with dashboards, reports, rich visualizations on top of your data, and other data-centric tools to deliver the most value to your target audience.
QuantHub Portal is a powerful tool with flexible and user-friendly CMS allowing you to build and manage custom data-driven websites with minimum effort. We natively support such data dissemination features as:
Automated publication of data, metadata, and structural artifacts as soon as it is ready for publication.
Data embargo and release calendars let you automate your data releases on the Portal and schedule access to the selected content.
Permissions and roles allow for a flexible content access management among various user groups.
Dynamic and powerful dataset explorer allows you to quickly browse, bookmark, and share data elements.
Integration with Microsoft Power BI to create reports, based on your datasets, and seamlessly import them into your publications on the Portal.
A robust search engine with the support of an enterprise data dictionary lets users discover what they are looking for with pinpoint precision, then save and share it with others.
Pre-configured and reusable content templates for data products, datasets, data-reach publications, and news.
The configurable design allows meeting your brand identity and delivers a seamless user experience.
SDMX API interface and bulk data download let developers and data scientists integrate data into the environment of their choice for further data analysis.
MS Excel Add-in
MS Excel add-in lets users select, load, and interactively refresh data right in their workbook for further modeling and analysis.
Microsoft Power BI and Tableau integrations unlock the full capability to build, create, narrate, and share sophisticated data analytics. Build and share on the Portal interactive dashboards and reports, allowing users to dynamically drill into the selected dataset.