Oracle Business Intelligence 11g is perhaps the most complete and comprehensive BI platform technology, but because it's so powerful and flexible, careful consideration must be given to the visual interface design to maximize investment returns.
The vast majority of organizations who implement one or more of Oracle's Business Intelligence applications end up designing their own dashboards, analyses, and visualizations. During this informative session, we will evaluate several prepackaged dashboards and offer suggestions for extensions and improvements, review dashboard design best practices, and demonstrate cutting edge visualizations.
Everyone knows they should be integrating data mining and predictive analytics, but it can be challenging to discuss the merits of a project before team members share a common understanding of data mining and predictive analytics.
If your BI application only reports the past, you're missing out on a major goal of BI systems. BI systems should be forward-looking, so they can inform decisions. In order to do this, you need some sort of analytics, whether they be simple questions like "where are we against plan" or "how does this compare to last year".
The vast majority of organizations who implement one or more of Oracle's Business Intelligence applications end up designing their own dashboards, analyses, and visualizations. During this informative session, we will evaluate several prepackaged dashboards and offer suggestions for extensions and improvements, review dashboard design best practices, and demonstrate cutting edge visualizations.
Moving an ever growing mountain of data in and out of databases for analysis takes huge resources when today's firms must find new ways to do more with less. The answer? Bring the algorithm to the data and leverage the power of Oracle's new In-Memory option, as well as the existing in-database analytical options, OLAP, Spatial, Data Mining, and Oracle R Enterprise.
The vast majority of organizations who implement one or more of Oracle's Business Intelligence applications end up designing their own dashboards, analyses, and visualizations.
Join Business Intelligence guru Tim Vlamis to walk through some of the challenges organizations are wrestling with implementing powerful new data mining and advanced analytics tools in today's dynamic business environment.
As Business Intelligence systems gets more integrated in today's businesses many businesses find that they need more data analyzes and results faster traditional relational warehouses cannot perform.
In today's fast-paced world, executives and managers demand access to their business intelligence systems at all times and particularly through their smart phones and tablets. However, small screens require a different approach to the presentation of analyses results.
As Business Intelligence systems gets more integrated in today's businesses many businesses find that they need more data analyzes and results faster traditional relational warehouses cannot perform. Integrating an OLAP engine into the warehouse can provide significant performance and analytical improvements.
© 2024 Vlamis Software Solutions | All Rights Reserved | Privacy Policy