I’m proud to share Ventana Research’s 2021 market agenda for digital technology. Our focus in this agenda is to deliver expertise to help organizations prioritize technology investments that increase workforce effectiveness and organizational agility, ensuring ongoing operation during any type of disruption.
Topics: Big Data, Analytics, Cloud Computing, Internet of Things, Digital Technology, Robotic Process Automation, blockchain, Conversational Computing, AI and Machine Learning, mobile computing, extended reality
The Business Continuity Imperative: The Workforce Experience and Human Capital Management in 2020 and Beyond
The workforce is an essential part of an organization’s overall business potential because it ensures continuous operations, even in black-swan events. The workforce is the core of the organization and should get the attention it deserves. In challenging times, a “customer-first” mentality tends to take hold — this is not unreasonable but in focusing on satisfying customers and opportunities, business leaders too often forget that the workforce experience is essential to achieving desired results. Fulfilling this objective requires technology designed to meet these human capital management (HCM) objectives. An organization’s agility and ability to invest adequate time and resources into the workforce experience is essential to an organization’s sustainability and operational effectiveness.
Topics: Sales, Customer Experience, Human Capital Management, Office of Finance, Voice of the Customer, Continuous Planning, Business Continuity, Analytics, Business Planning, Workforce Analytics, Workforce Management, Digital Technology, Operations & Supply Chain, Robotic Process Automation, employee experience, Conversational Computing, AI and Machine Learning, collaborative computing, mobile computing, agent management, People Analytics
Dreamforce has become the largest enterprise software event for businesses in the United States, and it is evident why when looking at it this year. With over 170,000 business and IT professionals attending, Salesforce came to show off upcoming product announcements and innovations. This year's biggest focus was on Einstein Voice (a personalized and intelligent conversational assistant), integration with other platforms, and Salesforce Customer 360. The last of these is the start of an answer to a problem we have well documented; businesses struggle getting a full view of the customer and provide a frictionless response to issues and interactions. For the full breakdown of Dreamforce 2018, and my analysis of all the largest announcements, watch my hot take video.
Topics: Salesforce.com, Customer Experience, Machine Learning, Marketing, Voice of the Customer, CRM, Dreamforce, Sales Performance Management, SPM, Digital Technology, Digital Marketing, Robotic Process Automation, AI, natural language processing
After more than a decade of steady development, ERP systems today are changing fundamentally, facilitated by the availability of advances such as cloud computing, advanced database architecture, collaboration, improved user-interface design, mobility, analytics and planning. This was evident when Oracle recently held its third analysts-only ERP Cloud Summit in New York to coincide with its Modern Finance Experience event. Oracle now has an increasingly robust set of business applications that reside in the cloud and a growing list of live customers – large and midsize – from a range of industries across the world, both of which were offered as part of the here-and-now technology theme at the event.
Topics: ERP, Machine Learning, Cloud Computing, Robotic Process Automation, Artificial intelligence, blockchain, AI
SAP recently held a teleconference to highlight its blockchain strategy. Lately, the major business software vendors have been calling attention to their blockchain initiatives. While the focus on this technology might seem premature to those who still equate it with cryptocurrencies, evidence is pointing to a future pace of adoption similar to the rapid take-up of the internet in the 1990s. That blockchain is useful for a wide range of business functions isn’t news – just google “blockchain use cases.” Payment, provenance, testament and efficiency are four main themes driving a multitude of applications of the technology. That said, blockchain isn’t technology in search of a mission but is something more like the internet, both in its broad utility and in value multiplication through network effects.
Topics: Machine Learning, Office of Finance, finance transformation, Robotic Process Automation, Artificial intelligence, blockchain, AI, bots, robotic finance
Robots of the physical sort are not about to take over finance and accounting but we have arrived at the age of “Robotic Finance”. I coined this term to focus on four key technologies with transformative capabilities: artificial intelligence and machine learning, robotic process automation, bots and natural language processing and blockchain distributed ledger technology. Embracing these technologies will enable any department to redefine itself as a forward-looking strategic partner to the rest of the company.
Topics: Machine Learning, close, closing, Robotic Process Automation, Artificial intelligence, blockchain, AI, Accounting, bots
For several years, I’ve commented on a range of emerging technologies that will have a profound impact on white-collar work in the coming decade. I’ve now coined the term “Robotic finance” to describe this emerging focus, which includes four key areas of technology: Artificial intelligence (AI) and machine learning (ML), robotic process automation (RPA), bots utilizing natural language processing, and blockchain distributed ledger technology (DLT), each of which I describe below. Robotic finance will have a disproportionate impact on finance and accounting departments: I estimate that adoption of these technologies potentially will eliminate one-third of the accounting department’s workload within a decade.
Topics: ERP, Machine Learning, close, Consolidation, Continuous Accounting, Reconciliation, CFO, Robotic Process Automation, blockchain, AI, natural language processing, Accounting, RPA, bots, voice automation
Robotic process automation (RPA) relies on programming or the application of analytical algorithms to execute the most appropriate action in an automated workflow. RPA enables business users to configure a “robot” (actually, computer software) to interact with applications or data sources to process a transaction, move or manipulate data, communicate with other digital systems and manage machine-to-machine and man-to-machine interactions. This technology is gaining increasing notice by finance departments, with good reason: RPA represents an important step beyond simple process automation in that it uses software to execute routine but complex workflows that require judgment. Rather than making an individual check-off a step in a routine approval, a robotic system applies an algorithm that decides the next step. The system thus does what people spend an awful lot of their time doing every day: making judgments that most of the time could be done by a machine.
Topics: Operations, automation, close, closing, Continuous Accounting, finance, banking, Robotic Process Automation, Accounting
A lot is being written and said about the omnichannel customer experience and the role contact center agents play in providing such experiences. From the customer’s perspective, I think it boils down to four things: that the interaction is easy, personal to them, within the context of the relationship and previous interactions, and consistent no matter with whom or what technology they interact. From the agent or user’s perspective, it should be easy to find the information needed to resolve the interaction to the customer’s satisfaction, and he or she must be empowered to resolve any issues that arise.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Service, Contact Center, Omnichannel, Robotic Process Automation, Workforce Optimization
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
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