Analyst Perspectives

Software that automates the full scope of the accounting close, including reconciliations, consolidation and reporting, has grown more capable and affordable over the past five years. By enabling consistent process management that captures best practices, and by automating rote, repetitive activities to boost staff productivity, these applications enable organizations to shorten the close, make the process more efficient and reduce the risk of material errors by strengthening accounting...

Natural language processing (NLP) is a field that combines artificial intelligence (AI), data science and linguistics that enables computers to understand, interpret and manipulate text or spoken words. NLP includes generating narratives based on a set of data values, using text or speech as inputs to access information, and analysing text or speech, for instance, to determine its sentiment. There are various techniques for interpreting human language, ranging from statistical and machine...

As businesses become more data-driven, they are increasingly dependent on the quality of their data and the reliability of their data pipelines. Making decisions based on data does not guarantee success, especially if the business cannot ensure that the data is accurate and trustworthy. While there is potential value in capturing all data — good or bad — making decisions based on low-quality data may do more harm than good.

In a previous Analyst Perspective, we discussed some of the big-picture trends that are bringing cost control back as a core driver of contact center operations. In this report we will tackle some of the practical ramifications: how those trends affect decision-making and operations.

There is much vendor activity and customer interest in making better use of data, to improve the sales process in the face of increased pressure to achieve organization revenue goals. As detailed in my Analyst Perspective: The Art and Science of Sales from the “Inside Out," enhanced buyer research as well as the inclusion of more people in the buying process, have made selling harder, evidenced by a general trend of declining quota attainment. There is no denying that better use of data can...

Reconciling accounts at the end of a period is one of those mundane finance department tasks that are ripe for automation. Reconciliation is the process of comparing account data (at the balance or item level) that exists either in two accounting systems or in an accounting system and somewhere else (such as in a spreadsheet or on paper). The purpose of the reconciling process is to identify things that do not match (as they must in double-entry bookkeeping systems) and then assess the nature...

Despite all the advances organizations have made with respect to analytics, our most recent research shows the majority of the workforce in the majority of organizations are not using analytics and business intelligence (BI). Less than one-quarter (23%) report that one-half or more of their workforce is using analytics and BI. This is a problem. It means organizations are not enabling their workforce to perform at peak efficiency and effectiveness. It means the workforce in many organizations...

Contact centers have always been very cost-centric and attuned to the kinds of constraints that they have to operate in, but many organizations were diverted from that kind of focus when the pandemic first hit. In 2020, there was a sudden need for new tools and equipment just to keep centers running, and the costs involved in enabling agents to work from home — equipping them and their supervisors with the tools they needed to collaborate and stay in sync — were unavoidable.

I recently described the emergence of hydroanalytic data platforms, outlining how the processes involved in generating energy from a lake or reservoir were analogous to those required to generate intelligence from a data lake. I explained how structured data processing and analytics acceleration capabilities are the equivalent of turbines, generators and transformers in a hydroelectric power station. While these capabilities are more typically associated with data warehousing, they are now...

The use of artificial intelligence (AI) using machine learning (ML) will be the single most important trend in business software this decade because it can multiply the investment value of such applications and provide vendors an important source of differentiation to achieve a competitive advantage in what are today very mature software categories. I assert that by 2025, almost all Office of Finance software vendors will have incorporated some AI capabilities to reduce workloads and improve...