Ventana Research is happy to share insights gleaned from the latest Value Index research, an assessment of how well vendors’ offerings meet buyers’ requirements. The 2022 Revenue Performance Management (RPM) Value Index is the distillation of a year of market and product research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to vendors supporting the spectrum of revenue performance management. Using this methodology, we evaluated vendor submissions in seven categories: five relevant to the Product Experience ﹘ Adaptability, Capability, Manageability, Reliability and Usability ﹘ and two related to the Customer Experience ﹘ Total Cost of Ownership or Return on Investment and Vendor Validation.
Topics: Sales, Sales Performance Management (SPM), Price and Revenue Management, sales enablement, Revenue Performance Management
As laid out in my recent Analyst Perspective, Revenue Management: The Opportunity for Innovation and Optimization, revenue management is a new way look at generating and managing the top line. It unifies multiple sources: the traditional focus on new customers to existing customers as well as all types of revenue from new, additional channels. This could include customer retention, upsell and cross sell, in addition to other selling channels such as through partners or digital sales channels like e-commerce and subscriptions.
Topics: Sales, Analytics, Sales Performance Management (SPM), Price and Revenue Management, Digital Commerce, AI and Machine Learning, Subscription Management
The current pandemic has disrupted many of the traditional sales methods used by field-sales organizations to engage, and sell to, buyers. In an effort to provide help, many vendors have recently announced new features that focus less on the management of sales organizations and more on tools to help salespeople sell. This has been coupled with a renewed interest in using data to help with the science, alongside the art, of selling, as referenced in my AP: The Art and Science of Sales from the “Inside Out". Oracle has called this new emphasis “Responsive Selling,” with an aim to harness data and machine learning (ML) to aid sellers in this new, challenging environment.
Topics: Sales, Analytics, Data, Product Information Management, Sales Performance Management (SPM), Digital Technology, AI and Machine Learning, sales enablement, Sales Engagement
One of the oddities of corporate management is that, as a rule, nobody oversees managing profitability. CEOs are accountable for meeting company-wide financial targets and assign responsibility for achieving profitability levels to business unit owners across and down an organization. Sales quotas designed to achieve revenue goals are put in place, and budget owners have cost and margin objectives. But setting profitability objectives is not the same as managing profitability.
Topics: Office of Finance, Sales Performance Management (SPM), Financial Performance Management, Price and Revenue Management, Digital Commerce, Predictive Planning, Subscription Management
Although historically there has been a hard divide between what are colloquially called “Inside and Field Sales,” changes over the last 10 years have narrowed the distinction. The pandemic has only accelerated the path to unifying sales activities commonly performed to engage buyers and customers. Characterized by a very disciplined and controlled endeavor, inside sales teams have been heavier users of technology. This has enabled more productive engagement including emails and calls, as well as provided techniques such as gamification to set competitive internal dynamics that help motivate sales professionals.
Topics: Sales, embedded analytics, Analytics, Business Intelligence, Collaboration, Internet of Things, Sales Performance Management (SPM), natural language processing, AI and Machine Learning, intelligent sales, sales enablement
Here are some insights on Oracle drawn from our latest Value Index research, which provides an analytic assessment of how well vendor offerings address buyers’ requirements. The Ventana Research Value Index on Sales Performance Management 2019 is the distillation of a year of market and product research efforts by Ventana Research. We evaluated Oracle and eight other vendors in seven categories, five product-related adaptability, capability, manageability, reliability and usability) and two concerning the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each of the seven categories to reflect its relative importance in an RFP process, with the weightings based on data derived from our benchmark research on sales performance management.
Topics: Sales, Customer Experience, Contact Center, Data, Sales Performance Management, Sales Performance Management (SPM), Digital Technology, Digital Commerce, Predictive Planning, Conversational Computing, AI and Machine Learning, collaborative computing, mobile computing, Subscription Management, agent management, intelligent sales
I hope this title captures your attention; I’m trying to make a point about the chaos going on in managing and operating marketing. What marketing needs in 2016 is to manage and optimize its efforts in a more unified manner. This perspective kicks off a new series on the challenges for marketing to automate or execute tasks and manage toward maximum performance. We all know that the craft of marketing is in need of significant transformation, from the CMO throughout the entire marketing organization and all the way out to the experience of consumers and customers. But this may be a fanciful mission, as applications and technology does not really automate marketing let alone manage it. Most marketing automation products are specialized applications that are not used by marketing management, let alone front-line marketing managers; they are for specialized needs in demand generation or digital marketing that personalizes inbound and outbound interactions with contacts for the purpose of advancing dialogue and creating relationships. Marketing automation, like its cousin sales force automation, has been a placeholder category that describes only a narrow slice of marketing, and the term has been co-opted by the industry for its own purposes. Though some observers predict that CMOs will outspend CIOs and other leaders of the business in technology investments, I have debunked this ludicrous idea; even if it were true, that would not make marketing departments much more efficient in their management and operations. To counterbalance the silliness of the marketing automation dialogue, I plan to bring you a series on key areas for investment to start the conversation. Evaluating them should help Marketing demonstrate its commitment to promoting effectively its organization and its products and services. Here is an overview of the many issues in the landscape.
Topics: Big Data, Predictive Analytics, Social Media, Customer Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Financial Performance, Information Applications, Operational Intelligence, Uncategorized, CMO, Information Optimization, Sales Performance Management (SPM)
Technology innovation is accelerating faster than companies can keep up with. Many feel pressure to adopt new strategies that technology makes possible and find the resources required for necessary investments. In 2015 our research and analysis revealed many organizations upgrading key business applications to operate in the cloud and some enabling access to information for employees through mobile devices. Despite these steps, we find significant levels of digital disruption impacting every line of business. In our series of research agendas for 2016 we outline the areas of technology that organizations need to understand if they hope to optimize their business processes and empower their employees to handle tasks and make decisions effectively. Every industry, line of business and IT department will need to be aware of how new technology can provide opportunities to get ahead of, or at least keep up with, their competitors and focus on achieving the most effective outcomes.
Topics: Big Data, Predictive Analytics, Sales Performance, Supply Chain Performance, Governance, Mobile Technology, Operational Performance Management (OPM), Customer Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Uncategorized, Workforce Performance, Business Performance Management (BPM), Financial Performance Management (FPM), Information Optimization, Sales Performance Management (SPM)
Using information technology to make data useful is as old as the Information Age. The difference today is that the volume and variety of available data has grown enormously. Big data gets almost all of the attention, but there’s also cryptic data. Both are difficult to harness using basic tools and require new technology to help organizations glean actionable information from the large and chaotic mass of data. “Big data” refers to extremely large data sets that may be analyzed computationally to reveal patterns, trends and associations, especially those related to human behavior and interaction. The challenges in dealing with big data include having the computational power that can scale to the processing requirements for the volumes involved; analytical tools to work with the large data sets; and governance necessary to manage the large data sets to ensure that the results of the analysis are accurate and meaningful. But that’s not all organizations have to deal with now. I’ve coined the term “cryptic data” to focus on a different, less well known sort of data challenge that many companies and individuals face.
Topics: Big Data, Data Science, Planning, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, FP&A, Human Capital, Marketing, Office of Finance, Operational Performance Management (OPM), Budgeting, Connotate, cryptic, equity research, Finance Analytics, Kofax, Statistics, Operational Performance, Analytics, Business Analytics, Business Performance, Financial Performance, Business Performance Management (BPM), Datawatch, Financial Performance Management (FPM), Kapow, Sales Performance Management (SPM)
Aria Systems provides companies with software for managing subscription or recurring revenue business models. A recurring revenue business models includes three types of selling and billing structures: a one-time transaction plus a periodic service charge; subscription-based services involving periodic charges; or a contractual relationship that charges periodically for goods and services. Aria’s cloud-based software addresses key requirements of users in the marketing, sales, operations and accounting functions in this type of business.
Topics: SaaS, Sales, Sales Performance, Customer Engagement, Customer Experience, ERP, Marketing, NetSuite, Office of Finance, Recurring Revenue, customer life cycle, Customer Performance, Operational Performance, Business Analytics, Business Performance, Cloud Computing, Customer Service, Financial Performance, Business Performance Management (BPM), Sales Performance Management (SPM), billing software
Supply and demand chain planning and execution have grown in importance over the past decade as companies have recognized that software can meaningfully enhance their competitiveness and improve their financial performance. Sales and operations planning (S&OP) is an integrated business management process first developed in the 1980s aimed at achieving better alignment and synchronization between the supply chain, production and sales functions. A properly implemented S&OP process routinely reviews customer demand and supply resources and “replans” quantitatively across an agreed rolling horizon. The replanning process focuses on changes from the previously agreed sales and operations plan; while it helps the management team understand how the company achieved its current level of performance, its primary focus is on future actions and anticipated results. Adoption of S&OP has increased as software to support the process has become more powerful and affordable and as a growing list of companies demonstrated its value in producing meaningfully improved business results. Even without adopting a full-scale S&OP management approach, companies can benefit from better coordination and collaboration between their supply and demand functions. Software plays an important role here, too, in facilitating this coordination and collaboration.
Topics: Planning, SaaS, Sales, Sales Performance, Supply Chain Performance, Forecast, Human Capital, Mobile Technology, Supply Chain Planning, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Financial Performance, Sales Performance Management (SPM), Sales Planning, Supply Chain, Demand Chain, Integrated Business Planning, SCM Demand Planning, S&OP
Ventana Research defines product information management (PIM) as the practice of using information, applications and other technology to effectively support product-related processes across the customer, commerce and supply chain. As organizations increase the number and diversity of products and services they offer to customers and partners, they increasingly need to address limitations in the ways they manage and distribute product information, including related attributes and content that describes the products. At the same time, competitive pressures require them to be able to incorporate large amounts of new content – video and images, for example – quickly while ensuring that the information presented to customers is accurate, operational processes run uninterrupted and timely data is available for business analysis. In an environment in which consumers, suppliers and partners use multiple channels to get to product information – including websites, kiosks, smartphones and tablets – it is essential that the organization always be able to present complete and up-to-date product information to inspire interest and facilitate purchases.
Topics: Big Data, Master Data Management, Supply Chain Performance, Governance, Marketing, Operational Performance Management (OPM), CIO, Information Management, Business Performance Management (BPM), Financial Performance Management (FPM), Information Optimization, Product Information Management, Sales Performance Management (SPM)
Managing prices has always been an activity of keen interest to businesses, but it has become even more critical to do it well. Over the past decade many companies have found their ability to raise prices has been constrained by intense competition resulting from Internet commerce, global competition and other factors. One tool for dealing with this pressure is price and revenue optimization (PRO), an analytic methodology that calculates how demand varies at different price levels and then uses that algorithm to recommend prices that should optimally balance revenue and profit objectives. Computer-supported PRO began in earnest in the 1980s as the airline and hospitality industries adopted revenue management practices in efforts to maximize returns from less flexible travelers (such as people on business trips) while minimizing the unsold inventory by selling incremental seats on flights or nights in hotel rooms at discounted prices to more discretionary buyers (typically vacationers). Price and revenue optimization algorithms are designed to enable a company to achieve fatter profit margins than are possible with a monolithic pricing strategy. Using PRO, airlines and hotels catering mainly to less price-sensitive business travelers found they could match discounters’ fares and rates to fill available seats and rooms without having to forgo profits from their high-margin customers.
Topics: Big Data, Performance Management, Sales, Office of Finance, Operational Performance Management (OPM), Analytics, Business Analytics, Business Performance Management (BPM), Financial Performance Management (FPM), Sales Performance Management (SPM), analytical application, Price Optimization