Ventana Research Analyst Perspectives

As articulated in Ventana Research’s Data Platforms Buyer’s Guide and DataOps Buyer’s Guide research, the combination of cloud computing and advanced analytics has lowered the cost of storing and processing large volumes of data, accelerating the emergence of new data platform and data operations products that enable organizations to gain operational efficiency and competitive advantage. The right combination of data platform and data management products is essential to ensure that the right...

In the evolving landscape of business operations, intelligent automation has emerged as a key driver of productivity, operational efficiency and workforce satisfaction. Each facet of an organization perceives the value of automation through the lens of its unique objectives and goals. In a previous perspective, I shared the reasons why enterprise organizations are leaning towards automating business and technology workflows, highlighting three pivotal business and technology trends that are...

The recent launch of the AI Alliance, a coalition of more than 50 corporations and research institutions engaged in artificial intelligence (AI) development (including AMD, CERN, Cornell University, Dell Technologies, IBM, Intel, Linux Foundation, Meta, NASA, Oracle, ServiceNow and Sony Group), aims to achieve the following objectives:

The phrase ‘big data’ may have largely gone out of fashion, but the concept of storing and processing all relevant data continues to be important for enterprises seeking to be more data-driven. Doing so requires analytic data platforms capable of storing and processing data in multiple formats and data models. This will be an important focus for the forthcoming Data Platforms Buyer’s Guide 2024. 

The pandemic laid bare the tenuous relationship between many contact centers and their agents. The abrupt shift to remote work was just one component of the changes still under way. The past four years have also seen enterprises reckoning with questions about how to hire, what to pay their employees, what skills are needed and how an avalanche of new technology will change their operations. 

I have a phrase I like to use when describing the changing nature of sales: Not all revenue and sales dollars look the same. This is in reference to the changing nature of both how in addition to traditional offerings, organizations are now selling subscription and usage-based products and services through multiple channels. These customer-driven shifts in the approach to buying and selling are also altering the economics of the B2B and B2B business models. 

Ensuring digital effectiveness requires insights into how enterprises can provide the best outcomes through people, processes and technologies. Armed with those insights, business and technology investments can effectively innovate and streamline organizational processes.

Billtrust software manages the full accounts receivable (A/R) cycle, from invoicing to payments, to increase the productivity of the A/R staff while providing customers with a better experience and reducing frictions in their order-to-pay motions. The company’s unified A/R software supports credit application automation, invoice delivery, collections, cash application, payment management and a business payments network (BPN).

I recently discussed how fashion has a surprisingly significant role to play in the data market as various architectural approaches to data storage and processing take turns enjoying a phase in the limelight. Pendulum swing is a theory of fashion that describes the periodic movement of trends between two extremes, such as short and long hemlines or skinny and baggy/flared trousers. Pendulum swing theory is similarly a factor in data technology trends, with an example being the oscillation...

It often takes longer to adopt new technology in the customer service delivery environment than in other business areas. In fact, service operations are among the most efficient and well-organized processes (despite what consumers might think). Because both the processes and the technology that drive them are deeply engrained in many companies, many people resist large-scale transformation projects because of their disruption and the uncertainty of outcomes.