Analyst Perspectives

Value-added tax is a consumption tax levied at every point in a supply chain—from production to final sale. It’s based on the difference between the cost of production and the selling price of a product or service, or the value added. Sales taxes are different in that they are generally collected only at the final point of sale to the ultimate consumer. Enterprises collect the value-added tax from customers when they sell goods or services and remit the collected VAT to the relevant national or...

I previously wrote about the potential for rapid adoption of the data lakehouse concept as enterprises combined the benefits of data lakes based on low-cost cloud object storage with the structured data processing functionality normally associated with data warehousing. By layering support for table formats, metadata management and transactional updates and deletes as well as query engine and data orchestration functionality on top of low-cost storage of both structured and unstructured data,...

Field service operations are not often discussed as part of enterprise customer experience planning, but there is a strong argument that they should be seen as an important factor driving how customers perceive brands. Like contact centers, field service teams are dealing with the advance of startling new technologies that can be expensive and disruptive. The flip side of disruption, though, is that it presents interesting opportunities for improving customer-related outcomes.

We’re quickly approaching the moment when it becomes clear that artificial intelligence (AI) and generative AI (GenAI) will not be free. As that happens, we will discover who’s willing to pay how much and for what. After nearly 18 months of unlimited use-case fantasizing, it should be obvious that not all the potential applications of AI can be realized over the next three to five years because they fail a cost/benefit test. In theory, AI’s potential is almost limitless, but so far, little...

The artificial intelligence (AI) market is exploding with activity, which is part of the reason we recently announced that we have dedicated an entire practice at Ventana Research to the topic. Large language models (LLMs) and generative AI (GenAI) have taken the AI world by storm. In fact, we assert that through 2026, one-half of all AI investments will be based on generative rather than predictive AI. My colleague Rob Kugel has written about how AI can improve productivity and benefit the...

The tax provision process is an essential part of the close process and a core responsibility of tax departments. This process estimates the amount of income tax an enterprise will have to pay tax authorities in the jurisdictions in which it operates. Tax accountants derive the number by adjusting the reported net income with a variety of permanent differences, such as expenses that are not deductible and temporary differences–for example, using allowable accelerated depreciation for tax...

Many organizations have adopted DataOps to apply agile development, DevOps and lean manufacturing processes to the development, testing, deployment and orchestration of data integration and processing pipelines. The most likely ultimate outcome of these pipelines is the analytics reports and dashboards enterprises rely on to make business decisions.

If you search “for want of a nail” on your browser, you’ll discover the age-old wisdom that seemingly trivial things can have a far-reaching impact. It’s a parable for artificial intelligence used in business. Deconstruct the imagined big-picture impact of AI and there are thousands of minor tasks that soon will require little or no human involvement in the interstices of an end-to-end process. Humans will still be indispensable, but they won’t be doing predictably repetitive work....

I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well software providers’ offerings meet buyers’ requirements. The Digital Communications Ventana Research Buyers Guide is the distillation of a year of market and product research by Ventana Research.

There have been a multitude of potential use cases for artificial intelligence (AI) and generative AI (GenAI) dreamed up over the past 18 months. ISG-Ventana Research describes AI as the development of systems and software capable of automating tasks that have previously required human intelligence. It encompasses machine learning (ML), deep learning and GenAI to deliver capabilities including predictions, recommendations, personalization, speech and visual recognition as well as translation...