|
Case Study #6
The client, a Fabless semiconductor company, employed seventeen engineers. Their use-model revolved around Windows laptops that connected to Linux servers via virtual X-server software....
|
|
Information Analytics—Applying Engineering Science and Math to make most-optimal decisions
Audience: ALL Businesses
What reports do you want from your databases? How do reports help you improve and predict the performance of your compute infrastructure? Information analytics requires high degrees of correlation discovery skills. GRIDBYTE™ is uniquely experienced to provide:
One core area of expertise is in the full-cycle design and productization of advanced deep sub-micron (down to 45 nm CMOS) IC sub-systems and chips. At such advanced nodes, the current generation of CAD tools and simulators has not made the sort of 10× improvements in speed and accuracy over performance in the 1990s. GRIDBYTE™ combines extensive design expertise with software and CAD experience in a number of closed-form engagements to provide next-generation tool innovations.
- Advanced analytics based on data-mining performance metrics of compute infrastructure related to business metrics.
- Our experience shows that the quality of reports is highly dependent on the inputs. It’s more complicated than Garbage-In, Garbage-Out. The ability to discover critical data depends on formulating a framework that asks questions but also allows for serendipitous discovery. This last point is where GridByte™ innovations are helping improve the results of information analytics to produce strategically valuable insight into data.
<< Go Back
|
|
|