Oracle Crystal Ball Software Download
Find out why Oracle Crystal Ball is the leading spreadsheet application for predictive modeling, forecasting, simulation and optimization. At Oracle Crystal Ball, you build analytic applications focused on predictive modeling, forecasting, modeling, and optimization.
With a wide range of powerful data analysis and reporting capabilities, Oracle Crystal Ball enables users to solve complex business problems.
Oracle Crystal Ball helps you manage business risk, develop forecasting and planning models, and optimize key performance indicators (KPIs).
It has proved to be a useful tool in my daily practice which has helped me to understand the basic concepts very well. Now, I am planing to search some new one which helps me learn how to master and use this software.
I have no experience with Crystal Ball, but I did use Rich Forecast a while ago.
I’d suggest that you try it out. In particular, I found it to be a wonderful way to do future analysis of uncertain parameters. As an example, you might be interested in the difference between just a simple backward-looking forecast and a forward looking one.
An approach similar to the version of Crystal Ball you reference might be to create a table of forecasts along with the uncertainty around each of them. This can then be exported to excel for more sophisticated analysis.
This can get complicated though…
I wrote about it for the Public Works blog, which might be of interest:
Rich Forecast is great to be sure, but it’s not my first pick for something like this.
Also, be sure to get the original version of the software, the current version has been updated.
I’ve never heard of Crystal Ball, but have heard of Rich Forecast. I just tested some of their open source version of Crystal Ball and it seems to work well with the default configuration.
The overall objectives of this protocol are to examine the influence of dietary polyunsaturated fat in the modulation of the disposition of procyanidins and procyanidin-rich dietary fiber in healthy adults. It will be carried out in 2 clinical studies (a) a metabolic study in which procyanidin intake will be studied in terms of plasma stability in vivo, the role of specific procyanidin metabolites in plasma, and the influence of procyanidins on intermediary metabolism and appetite, including the metabolic clearance rate of a palatable, high-caloric food (a baked apple) (hereinafter referred to as BAPI), and (b) a nutrition study in which the intake of procyanidin and dietary fiber will be examined in terms of their influence on intermediary metabolism and appetite. Plasma concentrations of procyanidins will be determined by HPLC with fluorescence detection. Appetite will be measured daily by a visual