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PROS Holdings, a provider of price and revenue optimization software, has an agreement in principle to acquire Cameleon Software, which offers configure, price and quote (CPQ) applications. The combined company is likely to benefit from a broader geographic presence (PROS is based in Houston while Cameleon is in Toulouse, France) for their sales and marketing efforts. However, the longer-term strategic value of the merger lies in the combination of the related categories of price optimization and CPQ to improve sales effectiveness and financial performance.

Price and revenue optimization, which I have written about before, is a business discipline used to effect demand-based pricing; it applies market segmentation techniques to achieve strategic objectives such as increased profitability, greater market share or both. Software to manage price and revenue optimization first came into wide use in the airline and hospitality industries in the 1980s as a way of maximizing returns from less flexible travelers (such as people on business trips) while minimizing the unsold inventory by selling incremental seats on flights or hotel room nights at discounted prices to more discretionary buyers (typically vacationers). Today, it is a well-established part of any business strategy in the travel industry and is increasingly used in others including retailing (chiefly through mark-down management), financial services and many business-to-business verticals. PROS started in the travel and hospitality industry, which accounted for 44 percent of its 2012 revenues, but its recent growth and focus have been more in manufacturing, distribution and services; those customers accounted for 56 percent of 2012 sales.

For its part, CPQ software emerged to make the process of vr_SPM_01_CPQ_software_is_well_establishedconfiguring complex products more efficient. This issue is of particular importance for industrial companies that sell to other businesses. A Class 8 truck, for example, has multiple options for mechanical parts such as the engine, transmission and braking system, as well as comfort features for the cab such as air conditioning and the radio/audio system. Assembling the various piece-parts of an offering manually, determining that the configuration is a valid one (for instance, whether transmission Y actually works with engine X) and calculating a basic offer price can be time-consuming and error-prone. CPQ software enables those quoting a price to quickly develop even multiple proposals for a prospective buyer. This is a well-established software category. Our benchmark research shows that about half of all companies with 1,000 or more employees use it, another one-third intend to deploy it and only 17 percent have no plans to use it.

Although valuable on its own, when CPQ software is joined to price and revenue optimization in an end-to-end, lead-to-order process, it increases the effectiveness of that process by giving sellers more ways to intelligently manage volumes and margins through altering the cost of individual components. For instance, the base price of a unit may be priced with little or no markup if the goal is to generate margin on the other parts of the sale. (This is similar to many retailers’ strategies except that the price of each piece of the transaction may be negotiated and the prices involved are often considerably greater.) Optimization software can enable sellers to achieve their revenue and margin targets by using purchase behavior patterns to better assess the buyer’s price elasticity. Indeed, the choice of certain components themselves may provide sellers with clues about the buyer’s overall price sensitivity: For instance, those wanting certain features, brands or grades may be less inclined to negotiate and therefore should be quoted a higher price. (Similarly, certain online merchants have been found to charge buyers using Apple products more than others.) Thus when price optimization is part of the business logic in using CPQ software, it makes the software more helpful to the user.

Viewed from the other side of the combination, adding a native CPQ capability to price and revenue optimization software makes the analytics far more actionable because it can support an end-to-end process. Although PROS has had CPQ capabilities in its Quote2Win application, they are not as robust as what’s available in Cameleon, which provides configuration capabilities and guided selling. PROS has published APIs to facilitate integration with CPQ systems, but integration out of the box with a full-featured application is certainly better. One of the biggest barriers to more widespread adoption of price and revenue optimization is that products don’t always enable user organizations to easily embed the analytics and data that drive optimization directly into the sales process.

Businesses that first adopted price optimization (and which have the deepest penetration) include travel, hospitality and retail mark-down management. Their common characteristic is that all are (or started out as) relatively simple products (say, a round-trip seat or a dress) for which prices are set, not negotiated. Business-to-business (B2B) transactions, however, often are more complex because the product often is a bundle of physical goods, services, warranties and ancillary provisions such as delivery. Moreover, typically these transactions involve some negotiation allow the sales representative a degree of freedom in setting prices and discounts. Having the actual price being quoted is critical for to capture and use in the sales process as our research in sales forecasting found that pricing data is one of the top components in 48 percent of organizations but so is the configuration of products to 22% percent of organizations and want it to be included in the sales forecast. Because the process is more complicated, prospective users of price optimization may find it daunting to adopt the strategy. In theory at least, adding a robust CPQ capability should make it easier for a company to implement a successful price and revenue optimization strategy in a reasonable period of time.

Decades of experience have demonstrated the value of this software category. Without the benefit of price optimization applications, it is almost impossible to assess a customer’s demand elasticity to determine an optimal offer price. Margin may be lost unnecessarily when sales people default to discounting to ensure a sale. Simple up-sell and cross-sell strategies can be beneficial, but they can fall short of what’s optimal and – increasingly – what’s possible. Having software to better gauge price sensitivity and control more elements of a negotiation with greater visibility into its profitability can help companies achieve an optimal balance of revenue and margin. The process can be even more effective when it’s coupled with sales incentive management software. All of which points to improving the sales process and our latest research in sales found that inconsistent execution is the largest impediment in 53 percent of organizations that is motivating management to invest into sales technology like CPQ and pricing optimization.

Organizational issues also have inhibited adoption of price and revenue optimization strategies in industrial companies as well as the use of this category of software. Responsibility for managing profits usually involves both the finance and sales organizations. Both have roles in handling profitability, but the process is typically simplistic (using up-sell and cross-sell strategies with little regard to the profitability of the components), imperfectly coordinated between Sales and Finance and almost never optimized. Ideally, CEOs and COOs should be initiating an optimization effort, but I find this is rarely the case. Using analytics to manage pricing and support a sophisticated strategy is an important business innovation that industrial and other business-to-business verticals should embrace. Finance organizations – specifically the financial planning and analysis (FP&A) group – should take the lead, especially if they want to demonstrate the ability of Finance to deliver more strategic value to the company. Successful price and revenue optimization strategies can provide a sustainable competitive advantage. Companies of course need a pricing strategy; understanding the benefits of price optimization software can help them see what’s possible and develop an implementation plan.

Regards,

Robert Kugel – SVP Research

Oracle continues to enrich the capabilities of its Hyperion suite of applications that support the finance function, but I wonder if that will be enough to sustain its market share and new generation of expectations.VI_Financialmanagement At the recent Oracle OpenWorld these new features were on display, and spokespeople described how the company will be transitioning its software to cloud deployment. Our 2013 Financial Performance Management Value (FPM) Index rates Oracle Hyperion a Warm vendor in my analysis, ranking eighth out of nine vendors. Our Value Index is informed by more than a decade of analysis of technology suppliers and their products and how well they satisfy specific business and IT needs. We perform a detailed evaluation of product functionality and suitability-to-task as well as the effectiveness of vendor support for the buying process and customer assurance. Our assessment reflects two disparate sets of factors. On one hand, the Hyperion FPM suite offers a broad set of software that automates, streamlines and supports a range of finance department functions. It includes sophisticated analytical applications. Used to full effect, Hyperion can eliminate many manual steps and speed execution of routine work. It also can enhance accuracy, ensure tasks are completed on a timely basis, foster coordination between Finance and the rest of the organization and generate insights into corporate performance. For this, the software gets high marks.

Unfortunately, this FPM suite remains more difficult to deploy and maintain than other vendors’ suites, and its user experience is becoming dated. As well, social collaboration is increasingly important in business, especially to fit specific requirements of the finance function, as I recently noted. Oracle understands that it must address changing user experience requirements as the baby boomers retire and are replaced by people who have fundamentally different expectations of how software is supposed to work. While there was plenty of evidence at OpenWorld that Oracle is taking steps to remedy this at a corporate level, it’s up to individual units to implement changes to their software portfolio, and it’s not clear that this is a priority for the Hyperion group. But in other areas, Oracle is busy addressing gaps in its FPM offerings. It is adding mobile enablement to Hyperion Financial Management and Planning, starting with an executive approval application to ensure that necessary signoffs can occur anywhere to speed the completion of routine work. To address the growing popularity of its cloud-based rivals, Oracle’s long-awaited Planning and Budgeting Cloud Service should be available by the end of 2013, providing budgeting, planning, collaborative forecasting and reporting as services to companies. And the company is offering financial and management and reporting in the cloud to streamline production and delivery of reports.

Hyperion still has the strongest franchise in the finance function, the legacy of achieving early market dominance in software for vr_fcc_financial_close_and_automationconsolidation, reporting, planning and budgeting. It succeeded because it gave the finance department autonomy from IT with applications designed by people who understood their needs. Hyperion offers a rich set of capabilities to automate the extended close cycle – all of the activities that start with the preclosing functions and continue through completion of external reporting. Our recent benchmark research on the financial close found a correlation between the time it takes a company to close and the degree of automation that it applies to the process. On average, those with a high degree of automation are able to close their books in 5.7 days, compared to 9.1 days for those that apply little or no automation. Oracle’s Financial Close Suite of applications is designed to enable companies to execute their period-end close faster and more accurately while requiring fewer resources. This is important because managing their close well is an issue for more than half of companies. Our research found that 61 percent of corporations take more than six business days to complete their quarterly or semiannual close (the consensus best practice is closing within six business days). Rather than achieving a faster close, which 83 percent of companies said is important or very important, the research found that on average it takes a day longer for companies to close than it took them five years earlier. In conjunction with better process design, using software to automate manual processes, manage all phases of process execution and limit the use of desktop spreadsheets is an effective way to shorten a company’s close cycle. Oracle’s Financial Management Analytics allows finance executives to closely monitor this extended close cycle.

One recent addition to Oracle Hyperion’s Financial Close Suite is Tax Provision. Accurately calculating and reporting direct (income) taxes is a time-consuming, labor-intensive process for almost all midsize and larger companies. I’ve written about the importance of using technology to bring the tax function into mainstream finance. There are two necessary IT elements to managing this process. One is ensuring that all of the data needed for provisioning and any subsequent audit is readily available. An option here is a tax data warehouse for companies that have a large number of legal entities and/or operate in multiple tax jurisdictions. Hyperion doesn’t have this capability. However, for companies that have less complex requirements or just want to simplify and centralize the gathering of tax data, it provides the second necessary element: an environment that manages tax data collection, improves the accuracy of the data and the calculations (by substantially reducing the need for desktop spreadsheets and rekeying of data from source systems) and automates data movement through configurable wizards. Especially in the quarterly and year-end accounting closes, numerous adjustments may take place that can affect the tax provision or changes in tax calculations that can have an impact on reported results. A tax provision application can speed up the back-and-forth adjustments, helping to shorten the accounting close cycle. It also can enhance the effectiveness of the tax function because those professionals will have more time to spend on analysis and optimizing a company’s tax position rather than wrestling with spreadsheets.

Oracle has added important new capabilities to its FPM suite since acquiring Hyperion. Expanding the suite has helped the company sustain its franchise in the face of determined competition from large to smaller sized software vendors such as IBMInfor and SAP, as well as smaller ones including Adaptive PlanningAnaplanHost AnalyticsLongview and Tagetik. The generational change that’s under way in corporations poses a serious competitive threat to Oracle. For finance professionals, word of mouth and brand loyalty count far more than “enchanted boxes” or “undulations”: That’s how Hyperion came to dominate the market. But times change, and Oracle is vulnerable because of the time and cost of deployment, ease of use and maintenance and user experience of its FPM suite. These were reflected in our 2013 Financial Performance Management Value Index. This year’s OpenWorld demonstrated that Oracle can pivot – albeit slowly – to address a rapidly evolving applications software market. With Hyperion it needs to focus more on addressing core competitive issues if it expects to sustain a leading market position.

Regards,

Robert Kugel – SVP Research

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