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Analytics

IBM Planning Analytics Tips & Tricks Video: Bookmarks in IBM Planning Analytics Workspace

October 8, 2019 by Lisa Minneci Leave a Comment

Tips & Tricks

In our latest IBM Planning Analytics Tips & Tricks video, Revelwood’s FP&A Technical Director, Lee Lazarow explains and demonstrates how bookmarks work in IBM Planning Analytics Workspace (PAW). Bookmarks in PAW are quick and easy to use and make a big difference when navigating through many items in Planning Analytics.

Watch Bookmarking in IBM Planning Analytics and learn:

  • How to add or remove a bookmark
  • How bookmarks are used to quickly move to a certain spot
  • How bookmarks are used to go to a specific view

IBM Planning Analytics, which TM1 is the engine for, 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!

Watch other videos in our IBM Planning Analytics Tips & Tricks series:

Regions with Rules in IBM Planning Analytics

Creating Dimensions in IBM Planning Analytics

Creating Dashboards in IBM Planning Analytics

Creating a Cube in IBM Planning Analytics

Home » Analytics » Page 10

Filed Under: IBM Planning Analytics Tips & Tricks, Videos Tagged With: Analytics, bookmkarking in PAW, Budgeting Planning & Forecasting, Financial Performance Management, IBM Cognos TM1, IBM Planning Analytics, Planning & Forecasting, Planning & Reporting, planning analytics tips & tricks video, Planning Analytics video, Planning Analytics Workspace, TM1

Understanding PVUs

October 3, 2019 by John Pra Sisto Leave a Comment

News & Events

“A Processor Value Unit (PVU) is a unit of measure used to differentiate licensing of software on distributed processor technologies (defined by Processor Vendor, Brand, Type and Model Number). IBM continues to define a processor, for purposes of PVU-based licensing, to be each processor core on a chip (socket).”

So what does this mean in English? Basically, a PVU is unit of measure assigned to various hardware chips that allows IBM to assess a licensing cost for the power of that machine. As the hardware for your On-Premise IBM Planning Analytics systems become more powerful, the cost to license that power goes up. PVUs are licensed for both Production and Non Production (dev/ test) environments so it is important to ensure that you have both up to date.

Why is this important?

PVUs change as hardware changes thus making it important to stay up to date in order to remain compliant with license guidelines. If you bought 200 PVUs for your system 5 years ago, it’s a safe bet that there has been a hardware refresh at some point since then. If this created an increase in hardware power you must increase your PVUs to pass an IBM audit. For many clients, PVUs become the forgotten license.

It’s easy to understand users. If you add more people to the system then you know to add user licenses, but PVUs tend to be passed over. It’s important to stay informed so you remain compliant.

How do you know what is needed?

PVUs are calculated and displayed here : IBM PVU Chart

They are the result of an IBM calculation based on three things:

  1. The Chip family
  2. # of sockets
  3. # of cores

Example:

For this example, let’s assume that you have the following hardware makeup;

TEST TM1 – (1) socket, (2) Core Intel Xeon CPU E5-2670 v3 – Total 2 cores

PROD-1 TM1 – (4) socket, (2) Core Intel Xeon CPU E5-2670 v3 – Total 8 cores

PROD-2 TM1 – (2) socket, (2) Core Intel Xeon CPU E5-2670 v3 – Total 4 cores

Based on this info and the PVU table below:

IBM Planning Analytics Tips & Tricks: Understanding PVUs

Test – 1 socket/2 cores = 70 PVUs per core or a total of 140 needed

Prod1 – 4 sockets/8 cores = 100 PVUs per core or a total of 800 needed

Prod2 – 2 sockets/4 cores = 70 PVUs per core or a total of 280 needed.

The total PVUs needed for Non Prod = 140

The total PVUs needed for Prod = 1080

PVUs are often an afterthought when thinking about licensing. It’s important to understand the need to maintain a current count in both your Prod and Non Prod environments or risk a large penalty if you are audited.

Home » Analytics » Page 10

Filed Under: News & Events Tagged With: Analytics, Beyond Budgeting, Budgeting, Budgeting Planning & Forecasting, Financial Performance Management, IBM Cognos TM1, IBM Planning Analytics, Planning & Forecasting, Planning & Reporting, TM1

IBM Planning Analytics Tips & Tricks: Cell Level Security Defaults

October 1, 2019 by Lee Lazarow Leave a Comment

Tips & Tricks

Did you know that you can have TM1 / Planning Analytics security always use your cell security definitions … even when the security definition cell is blank?

Values in a cell security cube override all other security. But if an intersection in the cell security cube is blank then, by default, other definitions such as cube, element and dimension security will be used.

In TM1 version 10.2, a new cube was created that allows you to override this approach. The cube is called }CubeSecurityProperties and it contains a setting called CELLSECURITYDEFAULTVALUE. The initial setting is blank, which allows the standard approach of “use the other definitions” to still apply.  However, you can change this approach by populating a value into the cube.

If you change the value in the }CubeSecurityProperties cube then all cells with an empty value in the cell security cube will use that setting. Values in the }CubeSecurityProperties cube can be set to NONE, READ or WRITE.

In the example below, blank cell security intersections will be set to READ

IBM Planning Analytics Tips & Tricks: Cell Security Defaults

When using this, be sure to think about any ripple effects associated with your existing security. For example, if you set a cube to READ then you will need to explicitly set cells to NONE that you don’t want users to see (whereas it may have already defaulted to NONE before the cube was populated).

This approach gives you more options to determine how cell security interacts with the rest of your security model.

IBM Planning Analytics, which TM1 is the engine for, 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: PA Modeling – The Settings Editor

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

IBM Planning Analytics Tips & Tricks: Preventative Maintenance to Maximize TM1 Performance

Home » Analytics » Page 10

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

New Video Series: IBM Planning Analytics Tips & Tricks

September 24, 2019 by Lisa Minneci Leave a Comment

Tips & Tricks

Every Tuesday we publish written blog posts sharing IBM Planning Analytics Tips & Tricks from our PSG team. Today, we’re adding to our tips & tricks with a series of videos!

Watch this short video from FP&A Technology Director, Lee Lazarow, to learn what regions are, and how and why you’ll want to use them in Planning Analytics.

You’ll see and hear Lee explain:

  • Why regions are different from comments
  • How to create regions
  • How to shrink and expand regions

The best part about regions is that they enable quick and easy navigation!

IBM Planning Analytics, which TM1 is the engine for, 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 » Analytics » Page 10

Filed Under: IBM Planning Analytics Tips & Tricks, Videos Tagged With: Analytics, Beyond Budgeting, Budgeting, Budgeting Planning & Forecasting, demo, Financial Performance Management, IBM Cognos TM1, IBM Planning Analytics, Planning & Forecasting, Planning & Reporting, TM1, video

Alternatives to Traditional Budgeting

September 20, 2019 by Brian Combs Leave a Comment

FP&A Done Right

Now that we have spent some time discussing several problems with traditional budgeting, let’s look at some alternate approaches. Here is a review of the first three problems from my prior blog:

  • Time Consuming and Costly
  • Quickly Irrelevant and Outdated
  • Financial Process Largely Disconnected from Specific Drivers

The biggest problem to me is the overall value (or lack thereof) that a traditional budgeting process provides the organization. The concept is sound. The execution is where the opportunity lies.

FP&A Done Right: Alternatives to Budgeting

One of the first steps is to determine the correct level at which to forecast. I’m referring to the number of accounts and entities (cost centers, profit centers, store fronts, functional areas, etc) you choose to budget. We often believe that more is more. In my experience, that is not true at all. Less is more. More detail means more time, not necessarily a better plan. There will always be puts and takes in your numbers as the year progresses and you compare actuals to budget. But if you build a very granular plan at the beginning, I have found that you end up with more misses. This is due to the budget review process where it is easy to look at the numbers through rose colored lenses. “The powers that be” make you bring every account or entity that is worse than prior year back to PY levels while keeping the goodness already baked in to other locations and accounts. You rarely get the offset so you end up with an unrealistic plan since we only take away one side of the equation.

Plan at the lowest level required for operational planning so you can get people, product, and capital in the right places at the right quantities. Your plan needs to be strategic in nature and should provide enough detail to allow for downstream capital planning. Don’t waste your time getting caught up in the weeds because the value add is simply to low. You must strike the right balance between detail and value to the company. As you spend time collecting numbers and assumptions for a given item, always ask yourself whether it provides actionable intelligence that will help you make meaningful decisions that drive the business forward.

As we learned in a prior blog, almost 50% of respondents stated that their business plan was outdated 1-3 months into the plan year. Wow!  Many of us spend several months on our plans only to have them become useless shortly after they are finalized. They become a variance column on our monthly reporting and then we just use it to see if we are on track for our bonus or not. If we agree that a business plan can still add value (which I do), then we need to find ways to shorten the amount of time it takes to complete.

One way that has multiple benefits is to make your budget driver-focused. Not only will this make the update process quicker, but it will help you connect your budget across all functions in your company. You need to ensure that your budget does not become a simple numbers game by aligning with operations, marketing, IT and others to build linkages throughout the organization, understand their needs for the upcoming year and create a shared vision that you are all marching towards. Choose the Key Performance Indicators (KPIs) that drive your industry and incorporate those into your planning process so you can quickly update your revenues and expenses. In my FP&A days, I focused on Rate per Day, Rate per Transaction, # of Transactions, # of Days, Transactions Per Employee, Average # of Vehicles, % of Revenue, etc. Armed with these assumptions, you can quickly update your budget when the need arises. Use these drivers to plan variable costs and then utilize a simple inflation factor to plan for your fixed costs. Here is a basic construct I have used successfully for many years:

(Rate * Driver) + Increment

The first part is clear. The increment is important because it provides the ability to plan for one-time items without having to artificially alter a rate to back in to the number. Without an increment or adjustment account, we lose the power of iteration as we can no longer simply update the driver because each rate needs to be reviewed as well to normalize it again for your starting point. Let’s say I have a particular expense that typically runs $100 (rate) per widget (driver). But I know that next month I have a one-time expense of $250 (increment). Using the above formula, I can easily increase my account by $250 to incorporate the one-time items. You can also use this to make last minute adjustments to your rate driven accounts without creating unrealistic rates.

While there are many changes you can make today that can help you avoid these pitfalls, we only had time to discuss a few here. We will look at a few more strategies in my next blog. As always, if you have some ideas to share or want to discuss further, please reach out.

Read more blog posts in Brian’s FP&A Done Right series:

FP&A Done Right: There is Life After December – The Fixed Forecast Dilemma

FP&A Done Right: Beware of Budgeting, Part I

FP&A Done Right: Beware of Budgeting, Part II

Home » Analytics » Page 10

Filed Under: FP&A Done Right Tagged With: Analytics, Beyond Budgeting, Budgeting, Budgeting Planning & Forecasting, Financial Performance Management, FP&A, FP&A done right, Planning & Forecasting, Planning & Reporting

New Video Demo – Creating Dashboards in IBM Planning Analytics

September 18, 2019 by Lisa Minneci Leave a Comment

Video

In the third video of our series Creating a Cube in IBM Planning Analytics, Revelwood’s FP&A Technology Director, Lee Lazarow, demonstrates how to create a dashboard in IBM Planning Analytics. Watch this short video demo to learn how to create a dashboard from the sales cube built in the second video, using both a drag and drop methodology and Planning Analytics’ built-in wizard.

In this video, Lee demonstrates the results of sales commissions in the dashboard, as well as how to:

  • Change views
  • Create simplistic views of data for quick analysis
  • Visualize a set of numbers
  • Build different types of charts
  • Merge separate sets of data

Lee also demonstrates Planning Analytics’ built-in intelligence that shows which charts are best for your particular data.

Did you miss the first two videos in this series? Watch Creating Dimensions Planning Analytics and Creating a Cube in Planning Analytics.

Subscribe to our YouTube Channel and follow our playlist to watch the entire series How to Create a Cube in IBM Planning Analytics.

Home » Analytics » Page 10

Filed Under: IBM Planning Analytics Tips & Tricks, Videos Tagged With: Analytics, Budgeting, Budgeting Planning & Forecasting, dashboarding, dashboards, Financial Performance Management, IBM Cognos TM1, IBM Planning Analytics, Planning & Forecasting, Planning & Reporting, TM1

The GDPR and What This Means for You

September 18, 2019 by Revelwood Leave a Comment

News and events

This is a guest blog post from Revelwood’s summer IT Policy Intern, Emily Kanter. 

The General Data Protection Regulation (GDPR) is Europe’s new and improved data security legislation. It’s a complex 88-page document, comprised of 99 articles and 173 recitals (principles and intentions). While the GDPR gives individuals security to be more forthcoming with their information, it has definitely proved to be a bit of a headache for Revelwood and companies like Revelwood.

Emily Kantor: Why you should care about GDPR. Revelwood.com

As the IT Policy Intern at Revelwood this summer, my job centered around the research of the GDPR and the individual intricacies that we must comply with. So, for about two and a half months, I dissected every part of the 88-page document and created materials to help ensure that Revelwood is GDPR compliant. I revised Revelwood’s IT Policies to abide by the GDPR, and I began the process of creating educational materials (procedural documents and an education program) so that all Revelwoodians would be aware of their responsibilities to be GDPR compliant.

At this point, I am sure you are wondering why you should care about the GDPR and why my work matters to you.

Let’s start with why you should care. Ensuring that you are GDPR compliant takes a lot of time, and it is both necessary and completely worth it to take the time, whether it be weeks or months, to research and to educate yourself. While the GDPR is based in Europe, its effects span globally. No matter where a company is, if it has clients in Europe or even prospects in Europe, it must be GDPR compliant. For example, if your company processes any information from European clients and your company is not GDPR compliant, it is subject to some hefty fees and potential lawsuits. So, while it may take a few weeks or months, it is worth it to ensure your company is GDPR compliant.

And lastly, why should my work matter to you? At Revelwood, we are committed to our Core Values, with one being “Do the Right Thing.” While we do not directly work with clients in Europe, there is a possibility our current clients process information from EU citizens. If we overlooked the GDPR and decided to address these issues when the time came, we would not be doing the right thing. At Revelwood, we stick by our Core Values, and to do just that, we abide by the GDPR.

Home » Analytics » Page 10

Filed Under: News & Events Tagged With: Analytics, Financial Performance Management, GDPR, internship program, Revelwood

IBM Planning Analytics Tips & Tricks: Blank Rows in Active Form Reports

September 17, 2019 by Lee Lazarow Leave a Comment

Tips & Tricks

Did you know when creating active form reports, you may sometimes want to separate sections? Some people like to create this separation via dashes or via bold line formatting. Some prefer to create “dummy” elements and use conditional formatting to make them appear like a blank line (although this approach is not recommended). Many clients, however, prefer to have the separation via a blank line.

Unfortunately, there is no easy way to create a blank line. We instead used a different approach with a client to create separation within rows in an Excel-based report.

Here is a sample report that we will start with, including the formatting range:

IBM Planning Analytics Tips & Tricks: Blank Rows in Active Form Reports

Column 1 references the element level of the account. This is the column that will be used for the formatting. The rest of the report is a standard active form. 

We now want to insert a blank area above the level 1 elements (e.g., above the line for Interest and above the line for Taxes).

Step 1: Insert a new column and edit the formatting for the applicable level

  • We will insert a new column to the left of the year
  • We will then format the new column for level 1 to have a very large font.  This report is currently set to use font size 11, so we will set this one cell to use font size 22.

Here is the new formatting area:

Blank Rows in Active Form Reports

Step 2: Within the report, hard code a value into the new column

  • Type the letter X into the new column. Remember that you only need to put the letter into the top row since Active Forms will replicate the value when you rebuild the report.

Here is the report after rebuilding it:

IBM Planning Analytics Tips: Blank Rows in Active Form Reports

There are now blank areas surrounding the rows associated with level 1, but the new formatting is only associated with the one column. 

Step 3: Hide the new column

  • In addition to hiding the column, you may choose to also manipulate the vertical cell alignment.

Once completed, here is the final report that users will see:

IBM Planning Analytics Tricks: Blank Rows in Active Form Reports

This approach uses formatting to create separation between rows within Excel. When combined with conditional formatting and other references in the first column (e.g. the format definition column), this approach can be both very powerful and very flexible.

IBM Planning Analytics, which TM1 is the engine for, 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!

Learn more IBM Planning Analytics Tips & Tricks:

IBM Planning Analytics Tips & Tricks: The Ranked Report

IBM Planning Analytics Tips & Tricks: Snap Commands – Spelling

IBM Planning Analytics Tips & Tricks: Snap Commands – Sorting

Need more guidance? Take a look at our IBM Planning Analytics Training services and our Customer Care Program.

Home » Analytics » Page 10

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

IBM Planning Analytics Tips & Tricks: Clearing All Data from a Cube

August 13, 2019 by Lee Lazarow Leave a Comment

Tips & Tricks

Did you know there may be several situations during development where you may want to clear all of the data from a specific cube? This could be due to a new process to reload data, a second round of user testing, or a migration from DEV to PROD. 

There are a few approaches that can be used to clear data from a cube.  One approach is to create of a view which consists of the entire cube and using then performing a ViewZeroOut against that view. This can be done via the following script:

# Define cube name

strCube = ‘Finance’;

# Destroy any existing views and recreate a new one

IF (VIEWEXISTS (strCube, strView) <> 0);

VIEWDESTROY (strCube, strView);

ENDIF;

VIEWCREATE (strCube, strView);

# Perform Zero Out

VIEWZEROOUT (strCube, strView);

The benefit to this approach is that you now have flexibility to manipulate your view. You can have the view filter to specific elements within a dimension and/or set the view to ignore values such as rule-based values.

Another approach is to use the CubeClearData command. The CubeClearData command clears all data within a cube. Using this function is faster than writing a script at the expense of using an “all or nothing” approach. The same process defined above can be written using the following single line:

# Define cube name

strCube = ‘Finance’;

# Clear all data from the cube

CUBECLEARDATA (strCube);

Note that the CubeClearData command also clears any cells in the cube that are fed with feeders. If you want to restore the fed cells then you must either manually resave the rule that establishes the feeders or use the CubeProcessFeeders function.

There are multiple ways that can be used to clear data from a cube and you can define what approach is best for you.

IBM Planning Analytics, which TM1 is the engine for, 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!

Learn more IBM Planning Analytics Tips & Tricks:

IBM Planning Analytics Tips & Tricks: Creating Selectors in Planning Analytics Workspace

IBM Planning Analytics Tips & Tricks: Creating Buttons in Planning Analytics Workspace

IBM Planning Analytics Tips & Tricks: Synchronizing Selectors in Planning Analytics Workspace

Need more guidance? Take a look at our IBM Planning Analytics Training services and our Customer Care Program.

 

Home » Analytics » Page 10

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

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