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Through 2025, establishing customer experience application suites on a common platform will be the focal point of the drive to optimize customer and organizational engagement. Organizations that are passionate about improving the customer experience are choosing to empower processes and people with intelligence through smarter applications that embrace analytics, artificial intelligence and...

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Topics: Customer Experience, Voice of the Customer, Contact Center, agent management


Earlier this year I described the growing use-cases for hybrid data processing. Although it is anticipated that the majority of database workloads will continue to be served by specialist data platforms targeting operational and analytic workloads respectively, there is increased demand for intelligent operational applications infused with the results of analytic processes, such as...

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Topics: Business Intelligence, Cloud Computing, Data, Streaming Data Events, analytic data platforms, AI and Machine Learning


A predictive finance department is one that can command technology to be more forward-looking and action-oriented while still fulfilling its core role of handling the financial elements of its organization including accounting, treasury and corporate finance. Beyond just automating rote tasks, technology also facilitates a shift toward becoming a predictive finance organization. Greater amounts...

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Topics: Office of Finance, Business Intelligence, Data Management, Business Planning, Financial Performance Management, ERP and Continuous Accounting, AI and Machine Learning


Process mining is defined as the analysis of application telemetry including log files, transaction data and other instrumentation to understand and improve operational processes. Log data provides an abundance of information about what operations are occurring, the sequences involved in the processes, how long the processes are taking and whether or not the processes are completed successfully....

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Topics: Analytics, Business Intelligence, Process Mining, AI and Machine Learning


The learning management system technology market has evolved dramatically over the past two decades. Learning management systems, now commonly referred to as learning experience platforms, are an integral resource for any organization concerned about productivity, organizational agility and operational excellence. These technologies enable organizations to demonstrate an investment in people, as...

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Topics: Human Capital Management, Learning Management


I have recently written about the organizational and cultural aspects of being data-driven, and the potential advantages data-driven organizations stand to gain by responding faster to worker and customer demands for more innovative, data-rich applications and personalized experiences. I have also explained that data-driven processes require more agile, continuous data processing, with an...

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Topics: Cloud Computing, Data Management, Data, data operations, Analytics and Data


Workday held its first in-person Rising user group meeting since 2019 in Orlando. Three topics are worth commenting on: Workday’s Extend offering, its industry accelerators and its progress with the Workday Adaptive Planning offering.

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Topics: Office of Finance, Business Planning, Financial Performance Management, ERP and Continuous Accounting


In my first perspective on cloud computing realities, I covered some of the cost considerations associated with cloud computing and how the cloud costing model may be different enough from on-premises models that some organizations are taken by surprise. In this perspective. I’d like to focus on realities of hybrid and multi-cloud deployments.

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Topics: Cloud Computing, Digital Technology


Organizations are collecting data from multiple data sources and a variety of systems to enrich their analytics and business intelligence (BI). But collecting data is only half of the equation. As the data grows, it becomes challenging to find the right data at the right time. Many organizations can’t take full advantage of their data lakes because they don’t know what data actually exists. Also,...

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Topics: Business Intelligence, Data Governance, Data Management, data operations, AI and Machine Learning


Kinaxis recently announced it has acquired a Netherlands-based company, MPO, a cloud-based software offering that orchestrates multiparty supply chain execution. The combination is designed to enable Kinaxis to extend its concurrent planning platform to handle core elements of supply chain execution. Kinaxis acquired all the shares of MPO for approximately US$45 million, with some of the final...

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Topics: Business Intelligence, Business Planning, Operations & Supply Chain, Enterprise Resource Planning, continuous supply chain, AI and Machine Learning


The data catalog has become an integral component of organizational data strategies over the past decade, serving as a conduit for good data governance and facilitating self-service analytics initiatives. The data catalog has become so important, in fact, that it is easy to forget that just 10 years ago it did not exist in terms of a standalone product category. Metadata-based data management...

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Topics: business intelligence, Data Governance, Data Management, Data, data operations, Analytics and Data


I have written about vendor efforts to use artificial intelligence (AI) and advanced analytics in their applications targeted at sales and revenue teams to improve focus and prioritize activities, both for pipeline management as well as individual opportunities. Since then, vendors have continued to innovate, and there have been more releases showcasing efforts to aid sales and revenue. And with...

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Topics: AI and Machine Learning


Today’s contact centers need to revisit core assumptions around measuring agent performance. Changes in business conditions influencing agent engagement raise new questions about whether traditional performance models are sufficient to address the more complex customer needs that have taken center stage in recent years.

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Topics: Customer Experience, Voice of the Customer, Contact Center, agent management


Business intelligence has evolved. It now includes a spectrum of analytics, one of the most promising of which has been described as augmented intelligence. Some organizations have used the term to describe the practical reality that artificial intelligence with machine learning is not replacing human intelligence, but augmenting it. The term also represents the application of AI/ML to make...

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Topics: Analytics, Business Intelligence, natural language processing, Collaborative & Conversational Computing, Analytics and Data, AI and Machine Learning


Organizations do not live in a vacuum and things happening outside their walls have a direct impact on how they perform. So, it is essential for them to incorporate external data in their forecasting, planning and budgeting, especially for predictive analytics and machine learning (ML) to support artificial intelligence (AI). I use the term external data to include any information about the world...

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Topics: Office of Finance, Business Planning, Financial Performance Management, AI and Machine Learning


Payroll Management is one of the six major focus areas in the Human Capital Management research and advisory practice at Ventana Research. “Continuous payroll” is a hot topic in this area, with much discussion about the always-on nature of this enhanced payroll function and its related demands for supporting technologies. Advancements in payroll technologies and practices have paved the way for...

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Topics: Human Capital Management, Payroll Management


Outbound communication is used in a number of different contexts. For potential customers, traditional telemarketing still exists, though it is limited these days due to its minimal effectiveness. Instead, many customer-experience planners have substituted digital outbound over voice for lead generation and nurturing campaigns. Customers find text messages in the channel of their choice to be...

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Topics: Customer Experience, Voice of the Customer, Contact Center, agent management


I recently wrote about the need for organizations to take a holistic approach to the management and governance of data in motion alongside data at rest. As adoption of streaming data and event processing increases, it is no longer sufficient for streaming data projects to exist in isolation. Data needs to be managed and governed regardless of whether it is processed in batch or as a stream of...

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Topics: Big Data, Cloud Computing, Data Governance, Streaming Analytics, Streaming Data Events


General Omar Bradley is credited with saying, “Amateurs study strategy, professionals study logistics.” This is a battlefield commander’s perspective on the often-overlooked importance of mastering the nitty-gritty in achieving military objectives. I think the same is true when it comes to data in business computing because, in my experience, it is often an overlooked or secondary consideration.

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Topics: Office of Finance, Digital Commerce, ERP and Continuous Accounting


You would be forgiven for thinking that no one buys anything in person any more given the pages of digital ink spilled over the rise of digital commerce led by the rise and rise of Amazon. However, one quick errand run on a Saturday morning would easily give lie to this, as parking lots are full, not just at grocery stores but for everyday retail as well as big box stores. Likewise, in...

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Topics: Digital Commerce, Subscription Management, Office of Revenue


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