Aurum is business intelligence (B.I.) software that visualizes 1000x more data than leading B.I. software. Today's best B.I. tools struggle to visualize over 1 million rows of data which leaves troves of valuable data outside the scope of self-serve business analysis. Ultimately, this means most B.I. tools aren't good enough: they leave business users unable to independently explore or respond to basic questions that determine if they succeed or fail.
With Aurum, enable self-serve analysis for teams (i.e. sales and finance) to get valuable answers from large data sets within minutes instead of having to wait weeks for engineering to help. Aurum is fast, performant, and integrates with every major database.
Susan runs a sales team in a business that has a lot of data that her sales team cannot directly access. Her team has to rely on an analyst to query data because all of the data lives in a database and can only be analyzed with SQL and python. The analytics team is swamped by requests from across the business and restrained by its current BI software's data size limits, so it cannot offer Susan's team the support it needs.
With Aurum, Susan's team no longer has to depend on analytics for one-off requests. They can easily access and analyze data in interactive, easy-to-use dashboards and provide clients insights on-the-fly that strenthen and expand commercial relationships.
Rachel, a C-suite level executive at her company, needs more visibility into how her teams are performing and wants to foster a more data-driven culture. With Aurum on top of her company's database, Rachel can do both: Aurum gives Rachel insight into her company's data like never before- she can assess trends without have to construct complex SQL queries. Furthermore, Rachel can enable anyone she chooses to analyze data- and Aurum's data governance ensures they can only access the right data. Because of Aurum's self-service data analysis capabilities, her business is much more nimble and agile: Rachel's company proactively responds to challenges and opportunities as they occur, giving it a critical edge over the competition.
Robert runs a hedge fund that leverages transactional data (i.e. "alternative data") to predict performance of the retail sector and of certain stock tickers. Like 50% of hedge fund managers, Robert struggles with finding the right infrastructure to support his alternative data use cases.
Aurum is part of the infrastructure Robert has been missing: With Aurum, Robert can dig into the data on his own for the first time, gaining insight into developing macro and micro trends as they occur. More importantly, Robert and his team can much more easily visualize the underlying stream of data without having to spend time aggregating or decreasing the data size. By reducing the data pre-processing burden, Robert's team is able to spend more time perfecting algorithms that drive revenue.
Up to 10 million rows
Features
10-100 million rows
Features
100 million-1 billion+ rows
Features
