Analyst Perspectives

Having just completed the 2023 Ventana Research Value Index for Subscription Management, I want to share some of my observations about an important component of subscription management: Contract management.

Having just completed the 2023 Ventana Research Value Index for Subscription Management, I want to share some of my observations about how the market is evolving. The era of subscriptions has transformed the way businesses operate and consumers engage with services across every industry. Organizations are increasingly adopting a digital approach to selling goods and services, wherein customers...

In 2015, I began using the term continuous accounting to call attention to technology advances that enable finance and accounting departments to improve performance. These advances have continued, making an even more compelling case for adoption of continuous accounting.

Generative AI is a class of artificial intelligence used to generate new, seemingly real content. Broadly speaking, AI has traditionally been used to identify patterns in data and apply those patterns to categorize and predict behaviors. For instance, it can organize customers into groups (or clusters) with similar characteristics, or predict which customers are most likely to respond to certain...

The world is witnessing a long overdue and significant shift in the realm of pay equity and transparency. On March 30, the European Parliament passed the Pay Transparency Directive, mandating pay transparency and equity within organizations in an effort to close the gender pay gap and ensure equal pay for equal work. This legislation comes with teeth, providing strict mechanisms for enforcement...

Conga is part of our Office of Revenue market coverage and I recently attended the 2023 Conga Connect conference held in Orlando during April of 2023. The conference was the public reveal of a new Conga, with significant announcements in three main areas. First was the overall positioning within a self-designated category of revenue life cycle management. Secondly was the first public revealing...

The recent publication of our Value Index research highlights the impact of intelligent applications on the operational data platforms sector. While we continue to believe that, for most use cases, there is a clear, functional requirement for either analytic or operational data platforms, recent growth in the development of intelligent applications infused with the results of analytic processes,...

In recent years, organizations have struggled to find and retain the right talent to fill critical roles. This can be attributed to a combination of factors, including an aging workforce, a lack of critical skills needed for current and future organizational needs, and increased competition for talent from other organizations seeking similar skills. Our research shows that, within the next five...

In my perspective on decision intelligence, I lamented the fact that business intelligence technologies have left the rest of the exercise to the reader for too long. Making a decision is a process that involves many steps and many people. Decision-making is so complicated and divorced from day-to-day business processes that organizations have had to create entirely separate teams to focus on the...

As engagement with customers, suppliers and partners is increasingly conducted through digital channels, ensuring that infrastructure and applications are performing as expected is not just important but mission critical. My colleague, David Menninger, recently explained the increasing importance of observability to enable organizations to ensure that their systems and applications are operating...

Contact centers have long collected feedback from customers, usually through short surveys. It is very common for an agent or an automated system to ask for an assessment of the interaction that just occurred, hoping to get the customer's candid, instant view of whether they were satisfied. For the most part, what's learned in those short engagements is very narrow. It can be used for a customer...

Organizations are becoming increasingly aware of the potential value that can be gained by processing big data. As data sources grow, it becomes important to have tools and methods to effectively process, analyze and visualize this information from disparate systems and warehouses.

I have written recently about the increasing importance of managing data in motion and at rest as the use of streaming data by enterprise organizations becomes more mainstream. While batch-based processing of application data has been a core component of enterprise IT architecture for decades, streaming data and event processing have often been niche disciplines typically reserved for...

People analytics is the application of data and statistical methods to better understand and optimize the human capital within an organization. It has become a crucial aspect of business strategy as organizations seek to make data-driven decisions about the workforce. In the past decade, the people analytics market has experienced substantial growth, as businesses look for ways to gain insight...

To execute more data-driven business strategies, organizations need linked and comprehensive data that is available in real time. By consistently managing data across siloed systems and ensuring that data definitions are agreed and current, organizations can overcome the challenges presented by data being distributed across an increasingly disparate range of applications and data-processing...

The chief financial officer of a midsize organization faces a different set of challenges than those in larger or smaller enterprises. These organizations have grown to the point of requiring capabilities similar to larger businesses, but typically lack the staff or financial resources afforded to bigger organizations. The past decade of IT innovation – especially the expansion of cloud computing...

Data Operations (DataOps) has been part of the lexicon of the data market for almost a decade, with the term used to describe products, practices and processes designed to support agile and continuous delivery of data analytics. DataOps takes inspiration from DevOps, which describes a set of tools, practices and philosophy used to support the continuous delivery of software applications in the...