Hyperion Planning applications often require multiple currencies.  Hyperion Planning includes a currency option that easily allows multiple currencies to be managed.  Allowing Planning to manage this introduces a couple of limitations and inherent costs. These can be avoided if currency is managed manually.

When the Hyperion Planning currency option is enabled, an additional 2 dimensions are required.  This raises the required dimensions from 6 to 8.  Most planning applications have a need for at least 2 to 3 custom dimensions.  Even smaller applications suffer greatly when adding the additional 2 dimensions.  So, by using the currency option, the ability to use custom dimensions is limited.  By adding a few accounts to hold the currency conversion and adding one dimension that has members for all the currencies, multi-currency applications can be handled with only one additional dimension.  If the currency option is not used, the currency calculations may be written more efficiently than the default calculations introduced with the currency option.

Another drawback with the currency option is that is only allows data input to the base currency.  The majority of the applications I have built that require multiple currencies require the input at more than base currency.  Assume a retail company has stores in a number of countries with different currencies.  Salaries may be budgeted in the local currencies, but the cost of the bags used by customers to carry merchandise out of the store is budgeted in USD.  The costs are distributed in USD based on units, and converted to the local currencies.

Lastly, using the currency option, because of the number of dense dimensions, limits the number of time periods.  Executing calculations is limited to using 64k of memory.  Applications that use something other than month (like week, or day) can regularly hit this limit.

Many clients have issues with Workspace logging users out when attempting to open/export certain types of documents. For example, a user logged into Hyperion Workspace attempts to open a Supporting Detail document, only to be prompted with a logout warning message before the document opens. The same can happen when a user attempts to export an FR report file (.DES file) from Workspace. After being logged out of Workspace, the user is able to log back into the application and open/export the necessary document. This issue can easily fixed by adjusting a few browser settings as shown below.

NOTE: Microsoft documents typically cause this logout issue (Excel, Word, PowerPoint).

1. Open your web browser (This blog entry will assume IE).

2. Select “Tools” -> “Internet Options…” from the menu bar.

3. Select the “Internet” option inside the “Security” tab. Select “Custom Level…”.

4. Navigate to the “Downloads” section and “Enable” Automatic prompting for file downloads. Click “OK”.

5. Now select the “Local Internet” option inside the “Security” tab. Select “Custom Level…”.

6. Navigate to the “Downloads” section and “Enable” Automatic prompting for file downloads. Click “OK”.

7. Finally, select the “Trusted sites” option inside the “Security” tab. Select “Custom Level…”.

8. Navigate to the “Downloads” section and “Enable” Automatic prompting for file downloads. Click “OK”.

9. Now that the settings have been set properly, Click “OK” on the “Internet Options” dialog box.

10. Close and re-open your web browser for the settings to take effect. Test these settings by logging into Workspace and opening a Supporting Detail document.

Microsoft Excel does a great job of calculating only what is needed.  If automatic calculation is turned on (and is by default), it only calculates formulas that have changed since the last calculations.  If automatic calculation is turned off, F9 will accomplish the same thing.

CTRL F9 goes one step further and calculates formulas that have changed, as well as the formulas dependent on them.

CTRL ALT F9 calculates all formulas in the workbook, regardless of whether they changed since the last calculation.

When custom functions are used, Microsoft Excel doesn’t always know the dependencies because the function can reference cells outside those provided in the function arguments.   When this occurs, using CTRL SHIFT ALT F9 is critical to ensure that all cells are calculated correctly.  This rechecks dependent cells and calculates all formulas regardless of whether they have changed since the last calculation.  This is the only way to ensure that all data is calculated.

Many of the Hyperion Planning and Essbase users still prefer to use the Essbase Add-In in conjunction with, or in place of, SmartView. As you probably already know, deploying the Essbase Add-In in version 11 has challenges. There is over 2GB of data that is required and the installtool.cmd file is not a simple installation that most users can administer without help. Because of the size, deploying it in a distributed package is extremely challenging. There are some instructions on various BLOGs that explain a way to deploy it manually, with edits to the registry. Any time I work with a client and mention editing the registry outside an automated install, this option is quickly disregarded.

In version 11.1.2, Oracle|Hyperion has added a self contained executable for the Essbase Add-In! The download is located in the Hyperion Essbase’s download page.

When I am introduced to business segments that use Hyperion Essbase, I always get asked the same question: “Can you explain what sparse and dense mean?”  Although I agree that users don’t HAVE to understand the concept, I contend that it is extremely valuable if they do.  It will not only help them become more efficient users, it goes a long way in helping them understand why something simple in Excel isn’t always simple in Essbase.  If users understand what a block is, and what it represents, they have a much better experience with Essbase.

If you are a relational database developer or a spreadsheet user, you tend to view data in 2 dimensions.  An X and Y axis is equivalent to the rows and columns in your spreadsheet or database table.  Essbase is a little different in that it stores data in 3 dimensions, like a Rubik’s Cube, so it has a Z axis.  Essbase databases refer to these “Rubik’s Cubes” as blocks.  An Essbase database isn’t one giant Rubik’s Cube; it could be millions of them.  The size and number of possible blocks a database has is determined by the sparse/dense configuration of the database.

An Essbase outline has a number of dimensions.  The number of dimensions can range in quantity and size, but each dimension is identified as a dense or sparse dimension.  The dense dimensions define how large each block will be in size (the number of rows, columns and the depth of the Z axis).  The sparse dimensions define the number of possible blocks the database may hold.  Assume the following scenario:  a database exists with 3 dense dimensions and 2 sparse dimensions.  The dense dimensions are as follows:

Net Income
Income
Expenses

Qtr 1
Jan
Feb
Mar

Version
~ Actual
~ Budget
~ Forecast

Remember, the dense dimensions define the size of blocks.  These dimensions would produce a block that looks like the image below.  Every block in the database would be the same.

For those more knowledgeable with Essbase design, this example assumes that no member is dynamically calculated or is tagged as a label to reduce complexity.

The sparse dimensions are below.

Total Product
Shirts
Pants

Total Region
North
South
East
West

The unique combinations of each sparse dimension has its own block.  There will be a block for Pants – North, one for Shirts – North, and so on.  Since there are 3 members in the Total Products dimension and 5 members in the Total Region dimension, there will be a total of 15 (3 x 5) blocks.  If a database has 5 sparse dimensions, all with 10 members, it would have a total possible number of blocks equal to 100,000 (10 x 10 x 10 x 10 x 10).  Below is a representation of the possible blocks for Shirts.

When I am introduced to business segments that use Hyperion Essbase, I always get asked the same question: “Can you explain what sparse and dense mean?”  Although I agree that users don’t HAVE to understand the concept, I contend that it is extremely valuable if they do.  It will not only help them become more efficient users, it goes a long way in helping them understand why something simple in Excel isn’t always simple in Essbase.  If users understand what a block is, and what it represents, they have a much better experience with Essbase.

If you are a relational database developer or a spreadsheet user, you tend to view data in 2 dimensions.  An X and Y axis is equivalent to the rows and columns in your spreadsheet or database table.  Essbase is a little different in that it stores data in 3 dimensions, like a Rubik’s Cube, so it has a Z axis.  Essbase databases refer to these “Rubik’s Cubes” as blocks.  An Essbase database isn’t one giant Rubik’s Cube; it could be millions of them.  The size and number of possible blocks a database has is determined by the sparse/dense configuration of the database.

An Essbase outline has a number of dimensions.  The number of dimensions can range in quantity and size, but each dimension is identified as a dense or sparse dimension.  The dense dimensions define how large each block will be in size (the number of rows, columns and the depth of the Z axis).  The sparse dimensions define the number of possible blocks the database may hold.  Assume the following scenario:  a database exists with 3 dense dimensions and 2 sparse dimensions.  The dense dimensions are as follows:

Net Income
Income
Expenses

Qtr 1
Jan
Feb
Mar

Version
~ Actual
~ Budget
~ Forecast

Remember, the dense dimensions define the size of blocks.  These dimensions would produce a block that looks like the image below.  Every block in the database would be the same.

For those more knowledgeable with Essbase design, this example assumes that no member is dynamically calculated or is tagged as a label to reduce complexity.

The sparse dimensions are below.

Total Product
Shirts
Pants

Total Region
North
South
East
West

The unique combinations of each sparse dimension has its own block.  There will be a block for Pants – North, one for Shirts – North, and so on.  Since there are 3 members in the Total Products dimension and 5 members in the Total Region dimension, there will be a total of 15 (3 x 5) blocks.  If a database has 5 sparse dimensions, all with 10 members, it would have a total possible number of blocks equal to 100,000 (10 x 10 x 10 x 10 x 10).  Below is a representation of the possible blocks for Shirts.

Overview

Essbase is widely considered to be the industry leading OLAP (On-Line Analytical Processing) server. Built on a real-time analytic infrastructure, Essbase provides BI and EPM users the ability to quickly dissect and analyze data through an intuitive interface.  Essbase end-users have multiple options for interacting with data including Microsoft Excel, Hyperion Financial Reporting and Hyperion Web Analysis. By bringing Essbase together with other Oracle applications, users will find broad support for demanding business requirements.  Breaking down large datasets, working with best-case/worst-case scenarios, forecasting multi-line expenses, and reporting variance analysis is now at your fingertips. Essbase ultimately allows end-users to interact and analyze real-time data through an integrated, rapid-response, and secure environment.

Product History

Arbor Software Corporation, an OLAP software company that designed and marketed multidimensional database software for planning and analysis, developed Essbase (Extended Spreadsheet Database), first branded “Arbor Essbase” in 1992. This multidimensional database product was originally developed to address the scalability problems associated with spreadsheets like Microsoft Excel and Lotus 1-2-3.

In 1998, Hyperion Software Corporation, a company with packaged analytic applications specializing in financials, and Arbor, merged to become Hyperion Solutions Corporation. Their first assignment after the merger was obvious, integrating Essbase with Hyperion Pillar, Hyperion Enterprise, and Hyperion Reporting.

After the merger, Essbase became the backbone to a full suite of applications for planning & budgeting, financial consolidations, scorecards, reporting, and more. Hyperion Solutions become a leader in the world of performance management software with Essbase leading the way.

In 2007, Oracle purchased Hyperion Solutions. At the time of the acquisition, Hyperion applications were being used by approximately 12,000 companies, including 91 of the Fortune 100. The acquisition made Oracle a leader in the EPM (Enterprise Performance Management) market and strengthened the Oracle offerings.

Strengths / Benefits