The Oracle Profitability and Cost Management Solution: An Introduction and Differentiators
What is Oracle Profitability and Cost Management?
Organizations with world class finance operations generally can close in a minimal number of days (2-3 in an ideal organization) and have frequent and efficient budget and forecast cycles while also visiting different ‘what if’ scenario analysis along the way. These organizations often deliver in-depth profitability and cost management analysis reports at fund, project, product, and/or customer level, completing the picture of an accurate close cycle.
Oracle offers packaged options in support of all these finance processes, but the focus of this post will be Profitability and Cost Management (PCM).
One of the most painful and time-consuming processes for any business entity is PCM analysis. The reasons why cost allocations processes are time consuming are too many to count – from model complexity to data granularity, driver metric availability, rigidity of allocation rules, delays with implementing allocation changes, and almost impossible-to-justify results. Instead of focusing on the negative aspect, let’s focus on what can be done to alleviate such pain and energize the cost accounting department by giving it access to meaningful and accurate data and empowering users through flexibility to perform virtually unlimited “what if” analysis.
The PCM Journey
The initial Profitability and Cost Management product, like almost all Oracle EPM offerings, was released on-premise in July 2008 and is known as Oracle Hyperion Profitability and Cost Management (HPCM). 10 years later, HPCM continues to deliver an easier way to design, maintain, and enhance allocation processes with little to no IT involvement as it has since it was initially launched, but with a greater focus on flexibility and transparency. The intent for HPCM was to be a user-driven application where finance teams would be involved beginning with the definition of the methodology all the way to the steps needed to execute day-to-day processing. Any cost or revenue allocation methodology is supported via HPCM while graphical traceability and allocation balancing reports support any query from top-level analysis all the way down to the most granular detail available in the application.
There are 3 HPCM modules available on-premise today. Each was designed and developed for a different type of allocation methodology or complexity need:
- Simple allocations – Detailed Profitability (a.k.a. single-step allocations. Example: From Accounts and Departments, allocate data to same Accounts, new target Departments, and to granular Products/SKU based on driver metric data. This module allows for a very high degree of granularity with dimensions >100k members, but it does not cater to complex driver calculations or to allocations requiring more than 1 stage).
- Average to high complexity allocations - Standard Profitability (a.k.a. multi-step allocations of up to 9 iterations/stages, allowing for reciprocal allocations. Example: Allocations from accounts and departments to channels, funds, and other departments. Allocation of results from previous steps are redistributed onto Products, Customers etc. Driver metric complexity is achievable with this module; custom generated drivers are available as well, but there are limitations regarding driver data granularity, granularity of allocated data, and overall hierarchy sizing).
- High complexity allocations – Management Ledger (unlimited number of steps, high number of complex drivers, custom driver calculations, custom allocations, more granularity, and increased flexibility in terms of defining and expanding allocation methodology). This is the last module added to the HPCM family and the only one available as SaaS Cloud Offering.
The Cloud is Your Oyster
In 2016, Oracle introduced the Cloud version of HPCM: Profitability and Cost Management Cloud Service (PCMCS). PCMCS is a Software as a Service (SaaS) offering, and as with many of Oracle’s Cloud offerings, PCMCS includes key improvements that are not available in the on-premise version, and enhancements are made at a much faster pace.
There is currently no indication that the two HPCM modules - Detailed and Standard Profitability - will make their way to the Cloud, since increased allocation complexity as well as increased hierarchy sizing supported by the Management Ledger module caters to most, if not all, potential requirements.
The Management Ledger module included with the PCMCS SaaS subscription has a core strength in the ease of use and flexibility to change, enabling finance users to define and update allocation rules and methodologies via a point-and-click interface. While the initial setup is advisable to be performed with support from an experienced service provider, the maintenance and expansion of PCMCS (Management Ledger) models can be achieved by leveraging solely functional resources, in most cases. “What-if” scenario creation and analysis has never been easier. Users not only can copy data and allocation methodologies between scenarios, but they can also update the data sets and allocation steps independently from a standard scenario, generating as many simulation models as they need, gaining increased insight into decision making.
Standard Profitability models perform allocations in Block Storage Databases (BSO). While BSO applications are great for complex calculations and reciprocal allocation methodologies, they have the disadvantage of being limited in terms of structure or hierarchy sizing. This hierarchy restriction is not as pressing in Aggregate Storage Option (ASO) type applications, which is the technology used by Management Ledger. The design considerations for a Standard Profitability model are also significantly more rigid when compared with the Management Ledger module, which has no limitations regarding allocation stages, allocation sequencing, or a maximum number of dimensions per each allocation step.
Detailed Profitability models heavily leverage a database repository while any connected Essbase applications are used solely for reporting purposes. Initial setup and future changes, outside of the realm of simply adding new hierarchy members, will require specialized database management skills, and the usage of a single step allocation model is not as pervasive. Complex allocation methodologies may require the usage of Detailed Profitability models in conjunction with Management Ledger, but these situations represent the exception rather than the rule.
Why Should You Choose Oracle Profitability and Cost Management?
One of the key strengths for HPCM, available since it was released, and now included in PCMCS, is transparency - the ability to identify and explain any value resulting from the allocation process, with minimal effort. Each allocation rule or allocation step is uniquely identified, enabling users to easily navigate via the embedded/out-of-the-box balancing report to the desired member intersection opened through a point and click action in Excel (using Smart View) for further analysis and investigation. The out-of-the-box-program documentation reports identify the setup of each rule and can be leveraged for quick search by account, department, segment code, or any other dimension available in the application. The execution statistics reports delivered as part of the PCMCS offering enable users to quickly understand which allocation process is taking longer than expected and identify opportunities for overall process improvement or to simply monitor performance over time. These two out-of-the-box reports – execution statistics and program documentation – are the most heavily used reports during application development, troubleshooting, and particularly when new methodologies are developed. Users can quickly search through these documents, leverage them to keep track of methodology changes, and use them as documentation for training new team members.
Performing mass updates to existing allocation rules has never been faster. PCMCS contains a menu that allows end users to find and replace specific member name references in their allocations for each individual data slice, allocation step, or an entire scenario. A quick turnaround of such maintenance tasks results in an increased number of iterations through different data sets, giving the cost accounting team more time to perform in-depth analysis rather than waiting for system updates.
PCMCS-embedded analytics and dashboarding functionality is also a significant differentiator, enabling end users to create and share dashboards with the rest of the application users through the common web interface and without the need for IT support. Reports created in PCMCS are available immediately and without time consuming initial setup or migrations between environments followed by further security setup tasks.
A comparison of On-Prem vs Cloud will be available in a future post, so please subscribe below to receive notifications for PCMCS-related blog updates.
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