Mark Smith's Analyst Perspectives

Identifying the Leaders in Sales Performance Management

Posted by Mark Smith on Oct 31, 2019 7:00:00 AM

I am happy to share some insights from our latest Value Index research, which rates how well vendors’ offerings meet buyers’ requirements in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). The Ventana Research Value Index: Sales Performance Management 2019 is the distillation of a year of market and product research efforts by Ventana Research. Drawing on our benchmark research and expertise, this research-based index is the first such evaluation to assess the full business value of sales performance management software. You can learn more about our Value Index as an effective vendor selection and RFI/RFP tool here and participating vendors can learn more about how to use the Value Index here.

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Topics: Sales, Customer Experience, Office of Finance, Analytics, Contact Center, Data, Sales Performance Management, Financial Performance Management, Digital Technology, Digital Commerce, Predictive Planning, Conversational Computing, AI and Machine Learning, collaborative computing, mobile computing, subscription management, agent management, intelligent sales

The Science of Sales Performance Management

Posted by Mark Smith on Oct 24, 2019 7:00:00 AM

Ensuring that the sales organization contributes as fully as possible to the success of the organization — to revenue, growth, profitability and the overall customer experience — requires not only dedication but effective strategy and planning. A well-developed strategy and plan to utilize current and future sales talent is essential for the best possible sales performance. To carry out this mission, organizations need a set of coordinated sales-related activities, processes and systems that enable the sales organization, from leadership and operations to the manager and sellers, to operate in a coordinated and collaborative manner. We call this sales performance management.

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Topics: Sales, Customer Experience, Office of Finance, Analytics, Contact Center, Data, Sales Performance Management, Financial Performance Management, Digital Technology, Digital Commerce, Predictive Planning, Conversational Computing, AI and Machine Learning, collaborative computing, mobile computing, subscription management, agent management, intelligent sales

Beyond Digital Transformation: Effective Technology Innovation in 2018

Posted by Mark Smith on May 7, 2018 12:55:31 AM

Advancing the potential of any business requires continuous improvement in the processes and technology that support it. Many companies have embraced attempts at a digital transformation, and it’s become a goal to which organizational resources and budgets have been dedicated around the globe.

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Topics: Big Data, Data Science, Mobile, Sales, Customer Analytics, Customer Engagement, Customer Experience, Human Capital Management, Machine Learning, Marketing, Marketing Performance Management, Mobile Technology, Office of Finance, Wearable Computing, Analytics, Business Intelligence, Cloud Computing, Collaboration, Customer Service, Data Governance, Data Integration, Data Preparation, Internet of Things, Contact Center, Information Optimization, Product Information Management, Digital Technology, Digital Marketing, Digital Commerce, Operations & Supply Chain, Machine Learning and Cognitive Computing, Pricing and Promotion Management, Cybersecurity, Billing and Recurring Revenue, Workforce Optimization, collaboration for business

Salesforce Fails Again in Customer Experience

Posted by Mark Smith on Jun 14, 2017 2:02:52 AM

More than a year ago I wrote from personal experience about the challenges our firm encountered with Salesforce’s cloud computing systems and customer service and if we can trust them for business in the cloud. That perspective covered a range of issues that the behemoth cloud computing applications and platform company is facing regarding its service and technology. While Salesforce has shifted its customers like us and others to a different cloud computing environment, as it did in moving us off its #NA14 cloud computing instance, core challenges of its customer experience and billing processes persist. After the last customer experience incident, I contacted its executives about the need for operational improvement; it was clear in the dialogue that they saw some but not all of our experience as issues important to improving its customer processes. It was good to get some immediate attention, but my hope was to speak for all SMB companies in pointing out the importance of effective communications and escalating notifications and interactions when those customer moments go sour, so the customer isn’t forced to turn to social media to be heard. This was an area where Salesforce had significant room for improvement in customer engagement, reflecting a pattern we see in our benchmark research, which finds the most common challenges in almost half of organizations are integration of channels of engagement and managing activities as silos.

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Topics: Big Data, Sales, Office of Finance, Analytics, Cloud Computing, Collaboration, Product Information Management, Sales Performance Management, Digital Commerce, Sales and Operations Planning, Machine Learning and Cognitive Computing, Sales Enablement and Execution, Machine Learning Digital Technology, Sales Planning and Analytics

Compensation Management Software Vendors Evaluated in Value Index

Posted by Mark Smith on May 22, 2017 8:22:32 AM

Compensation and the processes and systems to support it are at the center of success in every organization, as I have noted recently. In our view, an investment in total compensa­tion management software is a strategic step toward advancing human capital management. Our benchmark research on this topic found some prog­ress in attitudes about mod­ern­izing compensation practices. Almost three-fourths (72%) of organizations said that it is important or very important to have a total compensation management system rather than a piecemeal approach. Moreover, nearly half (49%) told us they are confident or very confident that their organization currently manages its compensation processes effectively.

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Topics: Human Capital Management, Office of Finance, Learning Management, HRMS, Workforce Management, Work and Resource Management, ERP and Continuous Accounting, Payroll Optimization

Supercharge Sales Analytics with Digital Technologies

Posted by Mark Smith on May 12, 2017 8:44:14 AM

Our firm regularly explores the impacts of new technologies on business. Analytics is foremost among recently emerging technologies, which our benchmark research consistently confirms. In our research on next-generation sales analytics, fourth-fifths (82%) of participating organizations cited analytics as the most important technology trend for sales; however, several other technologies also are adding power and flexibility to the use of sales analytics.

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Topics: Big Data, Sales, Mobile Technology, Office of Finance, Analytics, Cloud Computing, Collaboration, Product Information Management, Sales Performance Management, Digital Commerce, Machine Learning and Cognitive Computing, Sales Enablement and Execution, Machine Learning Digital Technology, Sales Planning and Analytics

Prepare and Wrangle Data for Sales Analytics

Posted by Mark Smith on May 5, 2017 8:28:39 AM

The importance of analytics for sales organizations is clear and, as I pointed out in my recent analyst perspective on the next generation of sales analytics, these capabilities optimize revenue potential. However, utilizing sales analytics requires a set of data skills that most organizations still find challenging and are thus not fully prepared to support. The efficient access and preparation of data underlies any analytics processes, which must meet demanding needs that are not always automated. Our research into next generation sales analytics has found many impediments that must be addressed and is a critical part of our expertise agenda for sales organizations.

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Topics: Big Data, Sales, Machine Learning, Office of Finance, Analytics, Cloud Computing, Collaboration, Product Information Management, Sales Performance Management, Digital Technology, Digital Commerce, Sales and Operations Planning, Machine Learning and Cognitive Computing, Sales Enablement and Execution, Sales Planning and Analytics

Effective Compensation Systems Transforms Human Capital Management

Posted by Mark Smith on May 2, 2017 1:51:55 AM

Compensation management is essential for any organization that values engaging and retaining its employees. It is a fundamental component of a range of personnel-related activities – recruiting and hiring, assessing performance, and career and succession planning. Determining and providing appropriate compensation, which may involve base pay, merit pay, variable pay and incentives or bonuses, is equally important for all members of the workforce – full- or part-time employees, contingent or on-demand workers and contractors. Incentives are an important part of compensation. Business areas such as call centers, sales forces and field service frequently tie incentive compensation to performance objectives. Whatever the particulars, the effectiveness of compensation directly relates to the core challenge faced by human resources departments: keeping employees productive, satisfied and motivated.

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Topics: Human Capital Management, Office of Finance, Learning Management, HRMS, Workforce Management, Work and Resource Management, ERP and Continuous Accounting, Payroll Optimization

New Generation of Sales Analytics Can Optimize Revenue Potential

Posted by Mark Smith on Apr 27, 2017 11:22:59 AM

I have been following advances in sales analytics since the 1990s. Over the last five years, however, I have seen evolution, not innovation. In most cases the information that analytics provides is too complicated and not contextualized enough for sales people who are not analytics experts to understand, let alone take action on. As I pointed out in my 2017 research agenda on sales, analytics is essential for planning that improves the impacts of sales efforts and meets the goals of the organization.

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Topics: Big Data, Sales, Office of Finance, Analytics, Cloud Computing, Collaboration, Product Information Management, Sales Performance Management, Digital Commerce, Sales and Operations Planning, Machine Learning and Cognitive Computing, Sales Enablement and Execution, Machine Learning Digital Technology, Sales Planning and Analytics

Optimizing the Business of Selling in 2017

Posted by Mark Smith on Mar 20, 2017 9:22:10 AM

I am happy to provide my personal perspective on the potential of sales organizations, processes and technology to supercharge business activity in 2017. The sales processes of organizations – whether they involve digital commerce or direct or indirect physical selling – should be part of continuous optimization efforts to reach maximum results. To do this, the people leading and running sales processes must be able to use technology that supports their responsibilities and analyzes the crucial information coming into the business. For almost 15 years, we have advocated for sales applications and tools that are necessary to optimize sales effectiveness and improve the outcomes of their sales efforts. The available portfolio is much larger than sales force automation (SFA) and involves more than the continued use of CRM, which has clear limits in its ability to manage customer relationships. The applications on offer include many facets of sales:  coaching, compensation management, contract management, configure price quote (CPQ), forecasting, quota and territory management, planning and optimization, pricing and revenue optimization, and target or market intelligence. New applications designed for sales also enable digital effectiveness that can transform organizations. Let me provide my perspective on six topics that are shaping the way sales can and should operate in 2017, and which are part of our sales research agenda for the year.

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Topics: Big Data, Sales, Machine Learning, Mobile Technology, Office of Finance, Analytics, Cloud Computing, Collaboration, Product Information Management, Sales Performance Management, Digital Technology, Digital Commerce, Operations & Supply Chain, Sales and Operations Planning, Machine Learning and Cognitive Computing, Sales Enablement and Execution