Analyst Perspectives

It’s easy to celebrate a go-live. It’s visible, it’s measurable and it comes with a finish line. But anyone who’s been through an HR technology implementation knows that go-live isn’t the end. It’s the beginning.

The idea of customer experience (CX) as a business practice relies heavily on being able to understand and track customer journeys. And that can be tricky because there isn’t a standard definition as to what a journey consists of. For example, inside a contact center the journey is perceived in terms of the steps a customer takes to achieve a particular result. Sometimes that is broadened out to...

When building or outfitting a contact center, the core question that must be answered is: what software provider or system is foundational? For decades, the fundamental element was the routing engine, but as technology moved to the cloud, the primacy of the voice ACD receded. As it did, it became possible to conceive of a tech stack that’s not organized around routing but instead is focused on...

The emergence of natural language analytics interfaces driven by generative artificial intelligence (GenAI) models has accelerated enterprise initiatives to enable data democratization—making data available to business decision-makers without the need to train them to use business intelligence (BI) tools. It has also heightened the need for agreed semantic models and business metrics, as well as...

Collaborative Supply Chain Forecasting (CSCF) is a business discipline involving multiple supply chain stakeholders, including suppliers, distributors and sellers, that is aimed at producing a more accurate forecast of future demand and supply. Participants share supply and demand data, forecasts, assumptions and insights to improve visibility, reduce inefficiencies and attenuate supply-demand...

I previously described data mesh as a cultural and organizational approach to distributed data ownership, access and governance, rather than a product that could be acquired or even a technical architecture that could be built. While that remains true, many data management software providers have adapted their products in recent years to address the four key principles of data mesh:...

We live in a time of uncertainty, not unpredictability. Planning charts the course of an enterprise through a sea of uncertainties, making fact-based predictions of potential outcomes to inform decision-making by executives and managers. Companies do a lot of planning—some formal but much of it informal. People in companies plan sales, they plan how to produce products and deliver services. They...

Working capital includes current assets (short-term items such as cash, money due from customers and inventory) and current liabilities (typically payments due to suppliers and loan amounts that must be repaid within one year). Working capital management is a prime function of the finance organization, designed to balance often-conflicting objectives related to revenue, liquidity, risk and...

I previously wrote about IBM’s strategy of consolidating analytics, data and artificial intelligence (AI) functionality from various products under its watsonx brand, which was launched in 2023 to address the AI development life cycle, as well as data storage processing and AI governance. The company has added two more offerings to its watsonx portfolio in recent months, combining established...

FloQast offers close management, reconciliation and accounting workflow automation software that streamlines processes and achieves reliable accuracy with less effort while providing real-time visibility into financial operations. The word “hack” originally referred to an ordinary horse, and later to a third-rate writer. More recently, it has come to mean—in a business context—a clever strategy...

I am struck by the blizzard of software announcements this year describing new features for CX tools that are “agentic,” meaning autonomous tools take actions without (much) human intervention. Industry conversation about agentic AI has proceeded ahead of clarifying definitions and a sense of how it fits on a continuum of rapid AI development.

The IT department of any enterprise is integral to implementing and managing the execution of its data objectives, just as the finance department is integral to implementing and managing financial objectives. Few enterprises would allow the finance department complete autonomy to define financial strategies; however, too many enterprises allow the IT department to define data strategies. Treating...

The era of ever-liberalizing trade that began in earnest in the 1950s (albeit with periodic ups and downs) came to an epochal end in the 2010s. Over the past decade, the ever-more demanding environment for supply chain planning and execution has forced enterprises to take a more strategic approach to managing these processes. The need for resiliency and adaptability in a rapidly changing world...

Artificial intelligence (AI) is no longer a futuristic concept but a current reality, and enterprise leaders are recognizing its profound impact on the IT sector. The development and deployment of AI-driven applications across various industries hinge on a robust IT infrastructure and skilled expertise. The words of industry leaders reinforce this sentiment: Amazon's CEO Andy Jassy indicates that...

Agents offer almost effortless automation, so repetitive and boring tasks get done with the least amount of work and, perhaps, more consistently. Agents are an important evolutionary step in the design of business software, similar to the transition from procedural programming to event-driven programming that accelerated in the late 1980s. That paradigm shift created the business software...

Fragmentation is a pervasive problem for enterprises seeking to take advantage of data generated by various applications to drive business decision-making. For almost as long as the IT industry has existed enterprises have struggled to combine and integrate information from multiple data siloes created by a variety of applications and business units. Creating a “single version of the truth” that...

As we stand precariously at the intersection of technology and business strategy, ServiceNow’s Knowledge ’25 conference unveiled “the art of the possible” for what service automation can mean in our efficiency-seeking world. ServiceNow has long been a champion of transforming the mundane into the extraordinary, and in the era of AI, it aims to harness the potential of intelligent automation. The...

I have written several times recently about the importance of data in supporting artificial intelligence (AI), including generative AI (GenAI) and agentic AI. From a data platforms perspective, this is most evident in the role that analytic data platforms play in supporting the training and fine-tuning of AI models. Operational data platforms also have a role to play in supporting enterprise AI...

Organizational change management is the discipline and process of guiding individuals, teams and organizations to a desired future structure. This is frequently an issue when implementing new technology designed to enable new strategies or business models. It is often a challenge because of human resistance to change, which is driven by a desire for stability, fear of personal consequences and...

The need for effective cybersecurity strategies remains a priority as enterprises face ever-increasing complex cyber threats. Nonetheless, the conventional approach in which IT departments, especially Chief Information Officers (CIOs) and Chief Information Security Officers (CISOs), exclusively manage the procurement of cybersecurity software, is showing its limitations. A crucial shift is...