Inforbix, Big Data and Product Lifecycle

A week ago we attended COFES 2012. One of the discussion that caught our attention was a discussion about Big Data and Product Lifecycle. Tony Bayer nicely summarized his thoughts after this discussion on his blog.  It’s worth reading. One of the most interesting passages that grabbed my attention was this:

Some credit to host Brad Holtz who deciphered that there really was a link between our diverging interests: Big Data and meshing software development with the product lifecycle. By the definition of Big Data – volume, variability, velocity, and value – Big Data is nothing new to the product lifecycle. CAD files, models, and simulations are extremely data-intensive and containing a variety of data types encompassing graphical and alphanumeric data. Today, the brass ring for the modeling and simulation world is implementing co-simulations, where models each drive other models (the results of one drives the other).

But is anybody looking at the bigger picture? Modeling has been traditionally silo’ed – for instance, models are not typically shared across product teams, projects, or product families. Yet new technologies could provide the economical storage and processing power to make it possible to analyze and compare the utilization and reliability of different models for different scenarios – with the possible result being metamodels that provide frameworks for optimizing model development and parameters with specific scenarios. All this is highly data-intensive.

What I specially like is this “highly data-intensiveness” as it resonated with everything Inforbix does. Inforbix scans, collects, and aggregates data located in companies. In practice, it’s a re-think of the way we perceive data management today by turning it on it’s head. In other words, rather than move data into files and data bases, Inforbix creates networks of data. Data is exposed and made available from it’s current location.  This approach can make things easier than traditional approaches to data management, from deployment to UX to improving decision making.

Conclusion. Inforbix uses intelligent technology that combine simple and cool applications that leapfrog traditional data management systems.  This facilitates the way people perform data-intensive work and help improve decision making .  It scales from simple tasks such as finding and sharing information up to complex decision making lifecycle processes.  Register with Inforbix to experience tomorrow’s data access technology today.

Best, Oleg

picture credit renjith krishnan /