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IBM Planning Analytics

IBM Planning Analytics Tips & Tricks: How to Make Action Button Messages Dynamic

June 12, 2018 by Revelwood Leave a Comment

Tips & Tricks

This is a guest post from Revelwood’s Jay Apwah.

Did you know that in Planning Analytics for Microsoft Excel (PAx) and Perspectives you can customize action button messages? Well you can go one step further and make those messages dynamic.

In this blog, we will walk through the following steps:

  1. Setup cells in a PAx workbook for the custom messages.
  2. Edit an action button to use the custom messages.

In this example, we have a PAx worksheet that allows users to click an action button to run a TI process using two parameters: the name of a file to load, the period to which the data will be loaded in a cube called bpmFinance. Whenever this process is executed, it logs statistics into a control cube: Number of records in the source file and Number of skipped records.

Below are the custom messages that we want to be shown to the user upon clicking the action button:

  • Confirmation message: “Are you sure you want to load the <file name> into the <period> period?”
  • Success message: “Process completed successfully – <X of X> records loaded”
  • Failure message: “Process failed. Records in file: <X>. Skipped Records: <Y>

Step 1: Setup custom messages

In any row that can be hidden, use a combination of Excel and TM1 worksheet functions to construct the custom messages. In this example, we will end up hiding rows 13-15. This is where our custom messages are constructed.

Figure 1: Example of formula to construct the confirmation message.

Make action buttons in IBM Planning Analytics dynamic

Formula:

=”Are you sure you want to load the “&C4&” file into the “&C5&” period?”

Figure 2: Example of formula to construct the success message.

Learn how to make action buttons in IBM Planning Analytics dynamic

Formula:

=”Process completed successfully – “&DBR(“<server>:bpmControls”, “Value”, “GL Actual File – Total Count”)&” of “&DBR(“<server>:bpmControls”, “Value”, “GL Actual File – Total Count”)&” records loaded.”

Note: The formula above retrieves the process statistic: “GL Actual File – Total Count” from a cube called bpmControls.

Figure 3: Example of formula to construct the failure message.

Making action buttons in IBM Planning Analytics dynamic

Formula:

=”Process failed. Records in file: “&DBR(“HQCorp:bpmControls”, “Value”, “GL Actual File – Total Count”)&”. Skipped records: “&DBR(“HQCorp:bpmControls”, “Value”, “GL Actual File – Skipped Count”)

Note: The formula above retrieves the process statistics: “GL Actual File – Total Count” and “GL Actual File – Skipped Count” from a cube called bpmControls.

Step 2: Edit action button to use the custom messages

  • In the properties of the action button that runs the TI process, click “Options”How to make action buttons in IBM Planning Analytics dynamic
  • The default success, failure and confirmation messages are displayed.
dynamic action buttons in IBM Planning Analytics
  • Since the custom confirmation, failure and success messages are in cells C13, C15 and C14, respectively. Change the default messages from hard-coded words to the appropriate Excel references as shown below.
making dynamic action buttons in IBM Planning Analytics

Result

Dynamic confirmation message

Now when the “Run” action button is clicked, a confirmation message appears. The confirmation message is dynamic and picks up the parameter values entered/selected by the user.

learn about dynamic action buttons in IBM Planning Analytics

Dynamic success message

When the confirmation is accepted, if the process completes successfully, the dynamic success message would appear. Notice how the success message displays the statistics that the process logged in the control cube.

how to make dynamic action buttons in IBM Planning Analytics

Dynamic failure message

When the confirmation is accepted, if the process failed, the dynamic failed message would appear. Notice how the success message displays the statistics that the process logged in the control cube.

making dynamic action buttons in IBM Planning Analytics

IBM Planning Analytics is full of new features and functionality. Not sure where to start? Our team here at Revelwood can help. Contact us for more information at info@revelwood.com. And stay tuned for more Planning Analytics Tips & Tricks weekly in our Knowledge Center and in upcoming newsletters!

Home » IBM Planning Analytics » Page 36

Filed Under: IBM Planning Analytics Tips & Tricks Tagged With: Analytics, Budgeting Planning & Forecasting, Financial Performance Management, IBM Planning Analytics, TM1

IBM Planning Analytics Tips & Tricks: Customizing PAW Directory Installation on Windows Server 2016

June 5, 2018 by Alex Needham Leave a Comment

Tips & Tricks

Did you know you can customize IBM Planning Analytics Workspace directory installation? It’s getting more and more common to have a small C:\ drive for booting and then having a separate drive to store data. This approach makes it easier to have a backup work only with the relevant drive(s).

The Docker installation for Planning Analytics Workspace on Windows Server 2016 installs files to the C:\ directory without giving users the option to change the directory. Even if the PAW folder is unzipped to another drive, the images will still get loaded to the Docker default directory. This uses between 20 and 25 GB of storage when all is said and done!

You can, however, manually change these settings by manually creating a few files via the following steps:

  1. Stop the docker service either via PowerShell command or in Task Manager.Learn how to install IBM Planning Analytics Directories
  2. In windows powershell, create a new daemon.json file by typing:
    • New-Item -ItemType file -Name daemon.json -Path c:\programdata\docker\config
      Customizing PAW Directories Installation on Windows Server 2016
  3. Open the daemon.json file and add the following content:{“graph”:”D:\\Docker”

    }

    Learn how to customize installing PAW directories for Windows Server 2016

    • Note: Replace “D:\” with whatever drive you wish to use.
  4. Restart the docker service either via PowerShell command or in Task Manager.Before:Understanding installing PAW directories

    After:

    Learn how to customize the installation of PAW directories

The main thing to note is that images will still be created in C:\ and then ported to D:\. For this reason, you’ll see ~20-25gb of caching when installing Planning Analytics Workspace. This means that you need at least 20-25gb of extra space on the C:\ drive. After the install, that space will open up again!

IBM Planning Analytics is full of new features and functionality. Not sure where to start? Our team here at Revelwood can help. Contact us for more information at info@revelwood.com. And stay tuned for more Planning Analytics Tips & Tricks weekly in our Knowledge Center and in upcoming newsletters!

Home » IBM Planning Analytics » Page 36

Filed Under: IBM Planning Analytics Tips & Tricks Tagged With: Analytics, Budgeting Planning & Forecasting, Financial Performance Management, IBM Planning Analytics, TM1

IBM Planning Analytics Tips & Tricks: Impact of Consolidations in Feeder Statements

May 29, 2018 by Revelwood Leave a Comment

Tips & Tricks

This is a guest post from Revelwood’s Stephen Ellis. 

Did you know writing feeders in TM1 is one of the more difficult tasks for any developer? One of the questions I am asked most often is “How do I know if I’m feeding this correctly?”

Today’s post will help you visualize the impact of utilizing consolidations in feeder statements. It will also help you interpret and review a feeder statement. These skills will help you develop rules within Planning Analytics. It can also assist you in reviewing your feeders with an eye for overfeeding.

The first example is for the feeder [‘Actual’,’Jan’] => [‘Forecast’,’Jan’]. This should be read as “Actual for January feeds Forecast for January.” Below is a visual representation of this feeder:

Learn about feeder consolidations in IBM Planning Analytics

Pretty straightforward, right? An individual month in one version feeds that same month in a different version (or Scenario).

If the feeder changed to [‘Actual’,’Jan’]=>[‘Forecast’,’Year’], which is read as “Actual for January feeds the Year for the Forecast,” what is the impact?

Learn the impact of consolidations on feeder statements

How did that one feeder statement create twelve separate feeders? Planning Analytics interprets any declaration of a consolidation in a feeder statement as an identification of every lowest level element within that consolidation. To clarify, in this example “Year” is the sum of all individual months.

Let’s review the previous statement. The feeder statement I previously declared was “Actual for Jan feeds the Year for the Forecast.” This can be rewritten as “Actual for Jan feeds all months within Year for the forecast.” Let’s do a few more examples to solidify this concept.

The next example is for the feeder “[‘Actual’,’Year’]=>[‘Forecast’,’Jan’]” This is read as “The year of actuals feeds January for Forecast.” Knowing that year is a consolidation of all months, we can change the interpretation to: “All months within year for Actual feeds January of Forecast.” Please see below representation.

Learn how consolidations impact feeder statements

This feeder statement also created 12 separate feeders, except that they all point to the same data point (January Forecast). In practice, this is an example of overfeeding, which can negatively impact the performance of your Planning Analytics application.

The last example is [‘Actual’,’Year’]=>[‘Forecast’,’Year’]. This is read as “The year of actuals feeds the year of Forecast,” and could be rewritten as “The months within Actuals feeds the months within Forecast.” This statement creates 144 (12×12) feeders, or the full combination of months. Below is an abbreviated representation of this feeder statement.

For illustration purposes, I’ve provided the first four months as impacted by this example.

With this understanding, you can read, write, and review your own feeder statements!

IBM Planning Analytics is full of new features and functionality. Not sure where to start? Our team here at Revelwood can help. Contact us for more information at info@revelwood.com. And stay tuned for more Planning Analytics Tips & Tricks weekly in our Knowledge Center and in upcoming newsletters!

Read more IBM Planning Analytics Tips & Tricks blog posts:

Tips & Tricks for using IBM Planning Analytics: Creating URLs for TM1 Websheets

Tips & Tricks for using TM1: Variance Analysis in IBM Cognos TM1

IBM Planning Analytics: Using the Full Power of MDX

Home » IBM Planning Analytics » Page 36

Filed Under: IBM Planning Analytics Tips & Tricks Tagged With: Analytics, Budgeting Planning & Forecasting, Financial Performance Management, IBM Planning Analytics, TM1

IBM Planning Analytics Tips & Tricks: Planning Analytics Workspace Chart Types

May 22, 2018 by Revelwood Leave a Comment

Tips & Tricks

This is a guest post from Revelwood’s Susan Musselman. 

Did you know charts and graphs are an excellent way to illustrate relationships in data and highlight trends in IBM Planning Analytics Workspace? They are visualizations of data that allow end users to quickly analyze a large amount of data. To make the biggest impact, it is important to choose the right chart for the use case of the data. Following is a list of chart types available within Planning Analytics Workspace, along with use cases where one type might be better than another.

Area Charts

Chart types in IBM Planning Analytics Workspace

An area chart emphasizes the magnitude of change over time. It is good for showing trends. Example: show how sales values have changed over a number of years.

 

Bar Charts

Chart types in IBM Planning Analytics Workspace

Bar charts are used to compare different items, or to show a comparison of items over time. Compared to Column charts, Bar charts are good for displaying long data labels. An example would be a Top 10 Salesperson chart where the full names are listed.

 

Stacked Bar Charts

Stacked bar charts_chart types in IBM Planning Analytics Workspace

Stacked bar charts are designed to help you simultaneously compare totals and notice sharp changes at the item level that are likely to have the most influence on movements in category totals.

 

Column Charts

Column charts_chart types in IBM Planning Analytics Workspace

Similar to bar charts, but with a vertical orientation instead of horizontal. Column charts are good for displaying data sets with negative values. A good example would be a Regional Profit comparison chart where some regions have a loss.

 

Stacked Column Charts

stacked column charts_chart types in IBM Planning Analytics Workspace

Similar to column charts, but it shows multiple items in each column.  Example:  showing 4 quarters of Orders by Region.

 

Line Charts

line charts_chart types in IBM Planning Analytics Workspace

Line charts show trends over time. The chart can show just one line or multiple lines, but the number of lines should be limited so the chart does not get too busy.

 

Map Charts

map charts_chart types in IBM Planning Analytics Workspace

A map chart displays data based on geography. A good use of this chart type would be to show relative Revenue by State.

 

Packed Bubble Charts

packed bubble chart_ chart types in IBM Planning Analytics Workspace

This chart is a way to show relational value without regards to axes. The bubbles are in different sizes and colors. The x-axis represents one measure, the y-axis represents another measure, and the size of the bubbles represents the third measure. A good use would be Product Sales within Product Types. This chart is best for positive numbers.

Pie Charts

pie charts_chart types in IBM Planning Analytics Workspace

Shows each piece as a component of a larger part.  Good for showing percentages as part of a whole.  Does not show changes over time.

 

Point Visualizations

point visualizations_chart types in IBM Planning Analytics Workspace

A point visualization uses multiple points to show trends over time. It is similar to a line chart, but without the lines; only the data points are shown.

 

Radial Charts

radial charts_chart types in IBM Planning Analytics Workspace

Shows progress toward a goal.  Comparisons can be made by having multiple circles.  Too many will be busy and ineffective.

 

Radial Bar Charts

radial bar charts_chart types in IBM Planning Analytics Workspace

This chart is pleasing to the eye, but it may be difficult to interpret. It is similar to a bar chart, but it is displayed in a circular fashion.

 

Tree Maps

tree maps_chart types in IBM Planning Analytics Workspace

A tree map identifies patterns and exceptions in a large, complex data set. It should not be used with negative numbers. It shows relationships among large numbers of components by using size and color coding in a set of nested rectangles.

 

Word Clouds

word clouds_chart types in IBM Planning Analytics Workspace

A word cloud is a visual representation of text values. The more frequently a text string occurs in your data, the larger the string appears in the word cloud.

When choosing which type of chart to use, don’t forget the purpose: to make it faster and easier for end users to understand the data. The less explanation it needs, the better.

IBM Planning Analytics is full of new features and functionality. Not sure where to start? Our team here at Revelwood can help. Contact us for more information at info@revelwood.com. And stay tuned for more Planning Analytics Tips & Tricks weekly in our Knowledge Center and in upcoming newsletters!

Read more IBM Planning Analytics Tips & Tricks:

IBM Planning Analytics Tips & Tricks: Creating Dynamic, Attractive Views and Dashboards

IBM Planning Analytics Tips & Tricks: Displaying Data in Maps

IBM Planning Analytics Tips & Tricks: Visualizing Data into Pie Charts

Home » IBM Planning Analytics » Page 36

Filed Under: IBM Planning Analytics Tips & Tricks Tagged With: Analytics, Budgeting Planning & Forecasting, Financial Performance Management, IBM Planning Analytics, TM1

IBM Planning Analytics Tips & Tricks: Regions with Planning Analytics Rules

May 15, 2018 by Lee Lazarow Leave a Comment

Tips & Tricks

Did you know that comments are an important piece of good rule development in IBM Planning Analytics? Comments help to describe your logic and can make it easier to navigate through many lines of code. A special type of comment in Planning Analytics entails the definition of a region. The use of regions allows you to expand and collapse sections of rules in the Planning Analytics rule editor.

A region is defined by adding a comment that starts with #Region and ends with #EndRegion. The start of the region also allows you to describe the region via a RegionName.

Here is an example of a rule that includes a region definition. Note that the first line includes both the #Region comment and a description of the section.

Regions with IBM Planning Analytics Rules

Here is the same rule in the Planning Analytics rule editor. Note the grouping symbol (the triangle) next to line 6.

IBM Planning Analytics Tips & Tricks: Regions with Planning Analytics Rules

The section can be collapsed to make your rule easy to read. You can hover the mouse cursor over a collapsed region to show the contents as a tooltip.

Understanding regions with Planning Analytics rules

This simple approach will allow you to make your rules easier to navigate and read when scrolling through many lines of code.

IBM Planning Analytics is full of new features and functionality. Not sure where to start? Our team here at Revelwood can help. Contact us for more information at info@revelwood.com. And stay tuned for more Planning Analytics Tips & Tricks weekly in our Knowledge Center and in upcoming newsletters!

Read more IBM Planning Analytics & Tricks:

IBM Planning Analytics Tips & Tricks: New Configuration Settings for Dates

IBM Planning Analytics Tips & Tricks: New Parameters for Turbo Integrator

IBM Planning Analytics Tips & Tricks: Converting Reports to PAx

Home » IBM Planning Analytics » Page 36

Filed Under: IBM Planning Analytics Tips & Tricks Tagged With: Analytics, Budgeting Planning & Forecasting, Financial Performance Management, IBM Planning Analytics, TM1

IBM Planning Analytics Tips & Tricks: The Data Hold Feature in Planning Analytics Workspace

May 8, 2018 by Revelwood Leave a Comment

Tips & Tricks

This is a guest post from Revelwood’s Shane Bethea.

Did you know that you can hold (e.g. lock) a data point in a view in IBM Planning Analytics Workspace simply by typing the word ‘hold’ into a cell?  To do this, create a view to do data entry.  The below view has the first 4 months locked, allowing entry into May through December.

Next, enter a value into the consolidated year to spread evenly.  I have entered 800 into the year 2016.  This spreads 100 to May through December.

To place a hold on a particular month, type the word HOLD into the cell (I chose May) and you will see a symbol next to the data point.

Now change the consolidated year to a different value and the hold month will not change.

You can release the hold by right clicking on the cell and selecting ‘release hold’ or by simply typing the word RELEASE into the cell.  The hold symbol will no longer be visible.

IBM Planning Analytics is full of new features and functionality. Not sure where to start? Our team here at Revelwood can help. Contact us for more information at info@revelwood.com. And stay tuned for more Planning Analytics Tips & Tricks weekly in our Knowledge Center and in upcoming newsletters!

Read more IBM Planning Analytics Tips & Tricks:

IBM Planning Analytics Tips & Tricks: New Configuration Settings for Dates

IBM Planning Analytics Tips & Tricks Video Demo: Hierarchies in Planning Analytics Workspace

IBM Planning Analytics Tips & Tricks: Asymmetrical Axis in PAx

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Filed Under: IBM Planning Analytics Tips & Tricks Tagged With: Analytics, Budgeting Planning & Forecasting, Financial Performance Management, IBM Planning Analytics, TM1

IBM Planning Analytics Tips & Tricks: GMT vs Local Time

May 1, 2018 by Lee Lazarow Leave a Comment

Tips & Tricks

Did you know that TM1 offers an easy way for you to convert GMT times to local times?  Do you get tired of seeing your message log records in GMT?  Are you frustrated that you have to convert times from GMT to local time?  Does the concept of daylight savings time annoy you?  Well, there’s not much that TM1 can do about that last question, but it does offer a solution to the first two.

TM1 contains many of your configuration settings within a file called tm1s.cfg, but there is also a second file called tm1s-log.properties.  The properties file is designed to control message levels that are logged by TM1, but it also contains a configuration option to define the TimeZone.

One of the parameters in the tm1s-log.properties file is:

log4j.appender.S1.TimeZone=Zone

where Zone can be set to either GMT or Local.

  • If the parameter is set to Local, the log messages will have timestamps based on the local time of the machine where the TM1 server is running.
  • If the parameter is set to GMT, the log messages will have timestamps based on Greenwich Mean Time.
  • If the parameter is set to something other than GMT or Local (or if the parameter is not set at all), it defaults to GMT.

The properties file must be located in the same folder as the tm1s.cfg file and you must restart your TM1 server after changing this setting.

This setting will help you make your log files easier to read when looking at time stamps within the various lines of the log.

IBM Planning Analytics is full of new features and functionality. Not sure where to start? Our team here at Revelwood can help. Contact us for more information at info@revelwood.com. And stay tuned for more Planning Analytics Tips & Tricks weekly in our Knowledge Center and in upcoming newsletters!

Read more blog posts with TM1 and IBM Planning Analytics Tips & Tricks:

IBM Planning Analytics Tips & Tricks: New Configuration Settings for Dates

IBM Planing Analytics Tips & Tricks: Displaying Data in Maps

IBM Planning Analytics Tips & Tricks: Making Default Cube Views Dynamic with MDX

Home » IBM Planning Analytics » Page 36

Filed Under: IBM Planning Analytics Tips & Tricks Tagged With: Analytics, Beyond Budgeting, Budgeting Planning & Forecasting, Financial Performance Management, IBM Planning Analytics, TM1

IBM Planning Analytics Tips & Tricks: Ensuring Cube Logging is Reset in TM1

April 24, 2018 by Revelwood Leave a Comment

Tips & Tricks

This is a guest post from Revelwood’s Susan Musselman. 

Did you know you can easily reset cube logging in TM1? A previous tech tip was written to discuss when to enable and disable logging. As stated in that posting, it is best practice to turn cube logging off while processing TurboIntegrator processes. Typically, logging is turned off in the Prolog and turned back on in the Epilog. But if an error occurs when the process is run, it never reaches the Epilog and logging never gets turned back on.

Initially, logging is set by right-clicking on cubes and placing a check in the logging box for each cube that needs logging turned on.

Learn how to ensure cube logging is reset in TM1

When logging is turned off via TI process, the checkbox is turned off.

One way to ensure that settings aren’t permanently “lost” is to reset logging in a chore that runs on a regular schedule (nightly or more frequently, if desired). To do this, set up an attribute in the }Cubes dimension to define which cubes should have logging turned on and manually populate the attribute with “YES” for each cube that should be turned on for logging. In the following example, the attribute is called “LogChore” and two cubes are defined to have logging enabled.

Ensure cube logging is reset in TM1

Then create a process with “None” as the source that will loop through the cubes and set log changes to 1 when the attribute is populated. Here is the code to put in the Prolog tab.

     iCount = 0 ;

     iSize = DIMSIZ (  ‘}Cubes’ ) ;

     WHILE ( iCount < iSize ) ;

           iCount = iCount + 1 ;

           strElement = DIMNM (  ‘}Cubes’ ,  iCount ) ;

           IF ( SUBST ( ATTRS ( ‘}Cubes’ , strElement , ‘LogChore’ ) , 1 , 1 )  @= ‘Y’ ) ;

                 CUBESETLOGCHANGES ( strElement , 1 ) ;

           ENDIF ;

      END ;

The final step is to set the process up as a chore and schedule it to run nightly. Any cubes that may have accidentally had Logging turned off will be turned back on.

IBM Planning Analytics  is full of new features and functionality. Not sure where to start? Our team here at Revelwood can help. Contact us for more information at info@revelwood.com. And stay tuned for more Planning Analytics Tips & Tricks weekly in our Knowledge Center and in upcoming newsletters!

Read more blog posts detailing IBM Planning Analytics Tips & Tricks:

IBM Planning Analytics Tips & Tricks: New Parameters for Turbo Integrator

Working with the TM1 Rest API

IBM Planning Analytics Tips & Tricks: New Configuration Settings for Dates

Home » IBM Planning Analytics » Page 36

Filed Under: IBM Planning Analytics Tips & Tricks Tagged With: Analytics, Budgeting Planning & Forecasting, Financial Performance Management, IBM Planning Analytics, TM1

IBM Planning Analytics Tips & Tricks: Captions

April 17, 2018 by Lee Lazarow Leave a Comment

Tips & Tricks

Did you know TM1 allows users to create alias names for elements within your model? This is a great approach that allows you to give different names to the same element. For example, account 601 can also be displayed in reports as “601 – Comp Expense”.

Many clients have asked me for an easy way to do something similar with dimension and cube names since many of these are often created with some form of prefix (example: a glbProduct dimension or staffEmpInfo cube).

Planning Analytics allows you to create an alias called “Caption” within both the }CubeAttributes cube and the }DimensionAttributes cube. This setting will allow you to display a cube or a dimension using “friendly” names when displayed in your PAW books.

The following example shows a model containing a dimension called bpmCountry. The value within the }DimensionAttributes cube is set to “Country”.

Working with captions in IBM Planning Analytics

As a result of this setting, any references to the dimension will appear in PAW as “Country” instead of “bpmCountry”.

Using captions in IBM Planning Analytics

This simple approach will allow you to make your Planning Analytics components more user friendly and easier to read.

IBM Planning Analytics (built on the TM1 engine) is full of new features and functionality. Not sure where to start? Our team here at Revelwood can help. Contact us for more information at info@revelwood.com. And stay tuned for more Planning Analytics Tips & Tricks weekly in our Knowledge Center and in upcoming newsletters!

Read more blog posts with tips & tricks on IBM Planning Analytics and TM1:

IBM Planning Analytics Tips & Tricks: Displaying Data in Maps

IBM Planning Analytics Tips & Tricks: Visualizing Data into Pie Charts

IBM Planning Analytics Tips & Tricks: Creating Dynamic, Attractive Views and Dashboards

Home » IBM Planning Analytics » Page 36

Filed Under: IBM Planning Analytics Tips & Tricks Tagged With: Analytics, Budgeting, Financial Performance Management, IBM Planning Analytics, Planning & Reporting, TM1

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