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Creating Your Own ESG & Fundamental Data Warehouse the Right Decision?

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Data WareHouse

Dispersed and unstructured data is a common reality. Across organizations, valuable and insightful data can be found in email boxes, doc editors like Word and PowerPoint, notes-taking software, shared and sFTP folders, vendors’ segregated applications, etc…

It is very hard for users to make sense of the dispersed and unstructured overflow of data and generate meaningful insights to support your fundamental and ESG investment process, in a context where alpha generation is more than ever a must-have.

To unlock the full potential of all Fundamental and ESG available data, one option would be for you to build an internal data warehouse by plugging every single data source into a single pool. Undoubtedly, it is a heavy, lengthy, and costly process with no guarantee of success.

Our ready-to-use solution enables to access any existing investment research and datasets from internal and external sources in one place, and users to easily log any emails, calendar events, notes, docs, raw data, and respective metadata directly from the applications that use (Outlook, Word, PowerPoint, Excel) via our Microsoft Office Add-ins. It is a quick and cost-effective option to turn your data into an alpha generation asset and achieve better reporting automation.

Our solution also offers beautifully designed and customizable data visualizations adapted to each organization’s needs.

ResearchPool technology solutions can cost as low as 50€ per user per month. 


Word Add-In

Microsoft Word Add-In

From Microsoft Word & PowerPoint (point of creation) users can tag, upload and share any type of notes and relevant metadata via customized templates in a few clicks.

Outlook Add-In

Microsoft Outlook Add-In

Directly from Outlook, users can log and tag any events and relevant metadata that they deem relevant for the investment process.

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Automated Reporting

Customizable and multi-dimensional tiles of data with filters enable users to easily make sense of the data and generate unique insights for the investment process.