KPI Partners Blog

Statistical Analysis Using Linear Regression in OBIEE

Posted by KPI Partners News Team on Tue, Jan 10, 2012 @ 04:23 PM

by Kurt Wolff

Linear regression is a statistical technique for drawing a line through a set of data points that “best fits” the data. It is a useful and standard technique for quantifying trends.

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Tags: Kurt Wolff, Oracle BI, Blog

Fact Based Partitioning in OBIEE

Posted by KPI Partners News Team on Tue, Dec 20, 2011 @ 04:43 PM

by Kurt Wolff

One of the questions that comes up over and over again is how to show all periods in a query when facts don’t exist for all periods or how to show all products when facts don’t exist for all products.

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Tags: Kurt Wolff, Oracle BI, Blog

Evaluate With Date Functions in OBIEE

Posted by KPI Partners News Team on Mon, Dec 05, 2011 @ 10:01 AM

by Kurt Wolff

If you’re not concerned about database portability – for example, you use Oracle and that’s that, forever – then the evaluate function in OBIEE can be useful. However, using the evaluate function can be tricky, and the documentation could be better.

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Tags: Kurt Wolff, Oracle BI, Blog

Advanced Relationship Modeling in OBIEE - N:N Fact

Posted by KPI Partners News Team on Thu, Dec 01, 2011 @ 11:56 AM

by Kurt Wolff

[Note: the following discussion is based on OBIEE version 10.1.3.4.0 and Oracle XE version 10G, both running on Windows. The behavior of other versions of OBIEE could be different.]

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Tags: Kurt Wolff, Oracle BI, Blog

Using WITH in Physical Tables ("Opaque Views")

Posted by KPI Partners News Team on Mon, Nov 28, 2011 @ 11:54 AM

by Kurt Wolff

Common practice is to use derived tables (sometimes referred to as “inline views”) when creating a physical layer “Select” table.

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Tags: Kurt Wolff, Oracle BI, Blog

OBIEE Multi-Select Prompt With an 'All Values' Choice

Posted by KPI Partners News Team on Fri, Nov 18, 2011 @ 11:03 AM

by Kurt Wolff

Here’s a not uncommon scenario. You are designing a dashboard page with a report such as sales by customer. To show sales by customer, you design a report containing the CustomerName column so that facts are grouped by customer. You provide a multi-select prompt to allow the user to select which customer data to view. But you also want to provide the ability to view the data for all customers as a total, without grouping by customer.

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Tags: Kurt Wolff, Oracle BI, Blog

Setting OBIEE Join Columns With Request Variables

Posted by KPI Partners News Team on Tue, Nov 15, 2011 @ 11:01 AM

by Kurt Wolff

Here is a technique for enabling the user to set join columns with a dashboard prompt.

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Tags: Kurt Wolff, Oracle BI, Blog

Comparing Arbitrary Time Periods in OBIEE

Posted by KPI Partners News Team on Thu, Nov 10, 2011 @ 11:07 AM

by Kurt Wolff

The Ago() “time series function” can be used to show data for a  previous time period, as long as the previous time period corresponds to a level that has been defined in the period hierarchy. A typical period hierarchy containing day, month, quarter, and year levels would allow you to use the Ago function to construct measures showing data for day ago, month ago, quarter ago, year ago (or N days ago, N months ago, etc.).

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Tags: Kurt Wolff, Oracle BI, Blog

Need Selected Date + 30 Days Data - Siebel Analytics/OBIEE

Posted by KPI Partners News Team on Tue, Nov 08, 2011 @ 11:05 AM

by Kurt Wolff

Someone asked a question on a “Siebel Analytics” email group a few days ago that I thought was worth discussing briefly here. The question posed was how to put a date prompt on a dashboard and return data for that date and the next 30 days. The solution could not involve presentation or report variables, since these were introduced only in a later version of Siebel Analytics that the person who posed the question did not have.

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Tags: Kurt Wolff, Oracle BI, Blog

What To Do When OBIEE Fact Tables Do Not Join to All Dimension Tables?

Posted by KPI Partners News Team on Wed, Sep 28, 2011 @ 10:16 PM

By Kurt Wolff

When I read the questions people ask about data modeling on OBIEE forums, one that seems to come up frequently is what to do when you have fact tables that do not join to all dimension tables.

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Tags: Kurt Wolff, Oracle BI, Blog