Our benchmark research over the last couple of years confirms what we all instinctively know: Consumers engage with each other and organizations using an increasing number of engagement channels. Indeed, our latest research into the next-generation contact center in the cloud shows the average number of channels organizations now support has grown to almost eight. The same research confirms that organizations now realize the way to compete is to match or exceed customer expectations regarding how these interactions are handled. Summing these expectations up, customer engagement must be easy, personalized, in-context and above all consistent across all channels.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Feedback Management, Customer Service, Contact Center, Omnichannel, Robotic Process Automation, Customer Journey Maps, Workforce Optimization
Earlier this year Zuora acquired revenue recognition software vendor Leeyo. Zuora, which initially focused on taming the complexities of subscription billing, has been broadening its software offerings to handle a wider set of the operational and financial requirements of a subscription business. Leeyo held a Revenue Recognition Summit in 2016 and the event was recently repeated. The need for the Summit reflects the impact new standards for accounting for contracts will have on subscription businesses. Compliance with these standards is proving to be a major challenge for companies that have subscription or recurring-revenue business models.
Many organizations continue to struggle with preparing data for use in operational and analytical processes. We see these issues reported in our Data and Analytics in the Cloud benchmark research, where 55 percent of organizations identify data preparation as the most time-consuming task in their analytical processes. Similarly, in our Next-Generation Predictive Analytics research, 62 percent of companies report that they’re unsatisfied because data needed for access or integration is not readily available. In our Big Data Integration research, 52 percent report spending that in working with big data integration processes, they spend the most time reviewing data for quality and consistency. And nearly half of companies (48%) report this same issue in our Internet of Things research. We are currently conducting further research into this critical issue with our Data Preparation benchmark research.
Not many years ago, building and running a contact center was a complex task. Organizations typically had to license all the systems they required (most of them proprietary and on-premises), customize them to meet their requirements and integrate them into a workable architecture. But beyond all the systems issues, the key to running the center was forecasting the right number of skilled agents that would be needed to handle expected interaction patterns and then routing calls to the most skilled agent for that specific interaction.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Feedback Management, Customer Service, Contact Center, Omnichannel, Robotic Process Automation, Customer Journey Maps, Billing and Recurring Revenue, Workforce Optimization, Digital transformation
Customer engagement is undergoing its biggest transformation in decades. Consumers now use a significantly greater number and variety of channels to engage with organizations – everything from phone, email and the corporate website to social media, text messaging, chat, mobile apps and video. This is forcing organizations to change in order not to miss out on business opportunities.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Feedback Management, Customer Service, Contact Center, Omnichannel, Robotic Process Automation, Customer Journey Maps, Billing and Recurring Revenue, Workforce Optimization