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.
Topics: Analytics, Business Intelligence, Cloud Computing, Collaboration, data science, Internet of Things, Mobile, Big Data, Data Integration, Data Governance, Data Preparation, Information Optimization, Machine Learning, Customer Experience, Billing and Recurring Revenue, Contact Center, Customer Analytics, Customer Engagement, Customer Service, Workforce Optimization, digital technology, collaboration for business, Cybersecurity, Machine Learning and Cognitive Computing, Mobile Technology, Wearable Computing, Human Capital Management, Marketing, Digital Marketing, Digital Commerce, Marketing Performance Management, Pricing and Promotion Management, Product Information Management, Office of Finance, Operations & Supply Chain, Sales
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.
Topics: Analytics, Machine Learning Digital Technology, Big Data, Machine Learning and Cognitive Computing, Product Information Management, Sales and Operations Planning, Sales, Digital Commerce, Sales Enablement and Execution, Sales Performance Management, Sales Planning and Analytics, Office of Finance, Cloud Computing, Collaboration
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.
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.
Topics: Analytics, Machine Learning Digital Technology, Big Data, Machine Learning and Cognitive Computing, Product Information Management, Sales, Digital Commerce, Sales Enablement and Execution, Sales Performance Management, Sales Planning and Analytics, Office of Finance, Cloud Computing, Mobile Technology, Collaboration
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.
Topics: Analytics, Machine Learning, digital technology, Big Data, Cloud Computing, Machine Learning and Cognitive Computing, Product Information Management, Sales and Operations Planning, Sales, Digital Commerce, Sales Enablement and Execution, Sales Performance Management, Sales Planning and Analytics, Office of Finance, Collaboration
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.
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.
Topics: Machine Learning Digital Technology, Big Data, Machine Learning and Cognitive Computing, Product Information Management, Sales and Operations Planning, Sales, Digital Commerce, Sales Enablement and Execution, Sales Performance Management, Sales Planning and Analytics, Analytics, Office of Finance, Cloud Computing, Collaboration
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.
Topics: Machine Learning, digital technology, Big Data, Machine Learning and Cognitive Computing, Mobile Technology, Operations & Supply Chain, Product Information Management, Sales and Operations Planning, Sales, Digital Commerce, Sales Enablement and Execution, Sales Performance Management, Analytics, Office of Finance, Cloud Computing, Collaboration
Workforce management is a key topic of expertise for Ventana Research. We define workforce management as the set of activities and processes organizations use to manage their hourly and salaried workforce for maximum productivity. It involves not only scheduling, tracking and paying for time worked but also aligning that work to the tasks and objectives of the organization. Workforce management is a critical component of every company’s operations, human resources and overall human capital management processes, as I recently pointed out. It helps organizations manage their workforces efficiently in such areas as scheduling, time and attendance, absence tracking and clocking work time, and ensures compliance with regulations and efficient payroll processing. Thus effective support of workers, managers, management and the operations and administration of the total workforce is at the heart of workforce management.
Human capital management (HCM) offers a prime opportunity for organizations and their human resource professionals to make employee-related processes effective in engaging and retaining the workforce. Manual administrative processes often hampered HR in focusing on the workplace experience and employee satisfaction. Modern HCM applications can help them manage members of the workforce as critical assets and make continuous investment in people-related processes, deriving insights on issue such as health and benefits through analytics applied to HR information. This year we will examine attitudes and changes in how organizations approach HCM through a new research endeavor using our latest research product. We will further deepen the knowledge across six essential aspects of HCM as discussed below and outlined in our HCM agenda for 2017.