Until recently most organizations deployed systems on their own premises to build communications and contact center infrastructures, which often required them to integrate products from several vendors. In the past few years many vendors have moved their systems to the cloud, and others have begun as cloud-based suppliers. This trend has opened up the opportunity for more organizations to take advantage of modern communication systems and contact centers. Using the cloud for either, or both can save money and resources, reduce risk, and make available more integrated, multi-channel systems. While the adoption of such systems has undoubtedly increased and is likely to continue to do so, our benchmark research into next-generation contact centers in the cloud finds that many organizations still prefer to remain on premises, and adoption of cloud-based systems occurs on a case-by-case basis. In addition, many organizations look for vendors that support multiple models so they have the option of starting out using one model but transitioning later to another, including to a hybrid model in which some systems are on-premises and others are cloud-based..
Topics: Big Data, Mobile, Customer Analytics, Customer Engagement, Customer Experience, Machine Learning, Wearable Computing, cloud computing, Business Intelligence, Collaboration, Internet of Things, Contact Center, workforce optimization, analytics, Digital Commerce, Subscription Billing
The Internet of Things (IoT) is a technology that extends digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere. This advance enables virtually any device to transmit its data, to which analytics can then be applied to facilitate monitoring and a range of operational functions. IoT can deliver value in several ways. It can provide organizations with more complete data about their operations, which helps them improve efficiencies and so reduce costs. It also can deliver a competitive advantage by enabling them to reduce the elapsed time between an event occurring and operational responses, actions taken or decisions made in response to it.
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.
Big data initially was characterized in terms of “the three V’s,” volume, velocity and variety. Nearly five years ago I wrote about the three V’s as a way to explain why new and different technologies were needed to deal with big data. Since then the industry has tackled many of the technical challenges associated with the three V’s. In 2017 I propose that we focus instead on a different letter, which includes these A’s: analytics, awareness, anticipation and action. I’ll explain why each is important at this stage of big data evolution.
One of the first applications I learned about in the contact center market was customer relationship management (CRM). The core capabilities of a CRM system were to manage customer data, marketing campaigns, sales opportunities and service requests. Vendors also touted them as the source for a comprehensive “360 degree” view of the customer, which they could never actually deliver because they did not include customer financial data, interaction histories or customer sentiment in the form of feedback. In any case CRM applications became integral to contact centers as a source of information to answer customer queries, but in reality they did little to actually manage the customer relationship, which was a factor in why they gained a bad reputation. Over time, many vendors adopted a different approach and broke the CRM category into marketing, sales and service clouds, which although they include additional capabilities basically do the same thing, with one big drawback – customer data is managed in three different systems, reducing the availability of a single source of customer data even further.