What is Scoop?

Scoop is a tool that allows business analysts and data analysts tap into any business data source, work with that data, produce powerful, live/real-time data analysis and share those analyses telling beautiful data stories with colleagues, partners and customers. Scoop is both entirely new, and extremely familiar to business professionals used to using common productivity tools like spreadsheets and slide presentations. However, it brings those familiar tools together in a new way, blending them with live data and a powerful data analysis engine. And it does all this without requiring the skills or resources of a conventional data team. No expertise in SQL, databases, servers, infrastructure, APIs, etc. is required. However, some reasonable working knowledge of spreadsheets and spreadsheet formulas enables the full use of Scoop to blend datasets together and create new calculations.

Business users can leverage their existing skills to connect to any business application as a data source and to manipulate that data. It does this by intelligently using the reports from an application as a data source. This allows business users to define their own data sources (as they are the ones that typically create reports) and leverage them without any technical assistance. This intelligent "Scooping" allows those business users to achieve results with data that previously required expensive and complex data infrastructure and skills like data warehouses, SQL, analytical databases, ETL (extract-transform-load) tools, server infrastructure, developer operations, and systems administration. Once a report with desired data is defined, the user simply points Scoop to it, and Scoop will automatically grab that data every day, building a time series dataset and keeping the data live and fresh.

In doing so, Scoop provides an unprecedented level of agility and affordability to leverage data to make informed and intelligent business decisions by dramatically lowering the barriers to adoption. Scoop's mission is to break the logjam that has prevented more than a small subset of well-resourced business professionals to fully operationalize use of data to drive better performance and decision-making.