Problems with Conventional Business Intelligence and Pivot Table Approaches

Current BI and pivot table approaches underdeliver because you see only a few things at a time.  Gaining insight this way is like trying to pick a combination lock trial-and-error: hit-or-miss and time consuming.

In contrast, Virtual Cove's approach lets your mind absorb combinations simultaneously.  This way, the lock simply opens, insight intuitively revealing itself.

What Kinds of Data?

Our innovations in virtual and augmented reality
already apply to many types of data, including

Any data you’d have formerly analyzed using pivot tables or slice/dice BI approaches (i.e. discrete data - data about distinct things)

Time series data (e.g. absorbing all stock charts of the S&P 500 simultaneously)


Virtual Cove’s approach applies across all industry verticals.  
Examples include:

Quant Finance practitioners and Traders who wish to simultaneously absorb hundreds of time series charts and related data, applying their experience to spot valuable interrelationships in real-time.

Portfolio Managers looking to understand portfolio relationships and understand screening results faster.

Mergers & Acquisitions, investment and industry analysts who seek understanding of a landscape of companies, perhaps data they already have as e.g. multi-column spreadsheets or in a conventional BI tool.

Economists who wish to consider a wide array of variables to better understand economic systems.

Marketing researchers who need to better understand survey and market research input.

Internet of Things (IoT), for example control room operations where human experience rapidly detecting anomalies across a wide array of potentially related inputs is mission-critical.

Anyone wishing to discover and harness anomalies in any market which can be studied or quantified.  We’ve even used it to study real estate comparable sales data to find pricing anomalies.

Sales managers who need to better understand the sales pipeline, applying their experience finding hidden opportunity and patterns worth focusing on.

Corporate purchasing departments who need to absorb a wide array of factors for finding better value or fit.

Anyone with applicant pools where understanding more than a few considerations matters, e.g. grant reviewers, hiring managers, HR departments, investment managers.

Anyone faced with decisions who want a better way to absorb complex, nuanced interrelationships between considerations they can measure, classify and/or approximate.

Researchers & Data Scientists in any field who wish to better understand multivariate data, applying their experience to seeing new connections and understand higher-order complexity in multivariate space.