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        Ventana Research Analyst Perspectives

        In recent years, many enterprises have migrated data platform workloads from on-premises infrastructure to cloud environments, attracted by the promised benefits of greater agility and lower costs. The scale of cloud data platform adoption is illustrated by Ventana Research’s Data Lakes Dynamic Insights research: For two-thirds (66%) of participants, the primary data platform used for analytics is cloud based. As the quantity and importance of the data platform workloads deployed in the cloud...

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        Topics: business intelligence, Cloud Computing, data operations, robotic automation, Analytics & Data, Analytic Data Platforms, AI and Machine Learning

        Ventana Research recently announced its 2024 research agenda for the Office of Revenue, continuing the guidance we have offered for nearly two decades to help enterprises across industries derive optimal value and improved outcomes from business technology. Chief Sales and Revenue Officers face an imperative to manage their sales and revenue organizations, but they do not always have the guidance they need to embrace technology. As we look forward to 2024, we are focusing on the entire selling...

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        Topics: Digital Commerce, Subscription Management, partner management, Revenue Management, Sales Engagement, Office of Revenue, Revenue Performance Management

        Ventana Research recently announced its 2024 market agenda for Operations and Supply Chain, continuing the guidance we have offered for more than two decades to help enterprises across industries derive optimal value and improved outcomes from business technology.

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        Topics: Continuous Planning, Product Information Management, Operations & Supply Chain, Sustainability Management, supplier relationship management, Property Technology, Continuous Supply Chain & ERP

        Ventana Research recently announced its 2024 Market Agenda for Analytics and Data, continuing the guidance we have offered for two decades to help enterprises derive optimal value and improve business outcomes.

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        Topics: embedded analytics, Business Intelligence, Data Governance, Data Management, natural language processing, data operations, Process Mining, Streaming Analytics, Analytics & Data, Streaming Data & Events, operational data platforms, Analytic Data Platforms, AI and Machine Learning

        Ventana Research recently announced its Market Agenda in the expertise area of Customer Experience. CX has emerged as a way for enterprises to demonstrate value and stand out in the marketplace. The technology underlying modern CX is transitioning from tools that are based on communication to those centered on data analysis and process automation. No technology has had as dramatic impact as quickly as Generative AI, which has upended the industry. It allows enterprises to build great...

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        Topics: Customer Experience, Voice of the Customer, Self-service, Analytics, Contact Center, agent management, Customer Experience Management, Field Service, AI and Machine Learning

        Since a majority of today’s workforce wasn’t around in the 1990s, it’s worth noting that “business process reengineering” was all the rage. The purpose was to review, restructure and redesign core business processes to achieve substantial improvements in market and customer responsiveness, productivity, cycle times and quality. One reason for its popularity (beyond being a money spinner for consultants) was the promised ability for the newly available enterprise resource planning systems to be...

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        Topics: Operations & Supply Chain, Enterprise Resource Planning, ERP and Continuous Accounting, digital finance, Purchasing/Sourcing/Payments, Continuous Supply Chain & ERP

        Imagine a world where artificial intelligence (AI) seamlessly integrates into every facet of your business, only to subtly distort your data and skew your insights. This is the emerging challenge of AI hallucinations, a phenomenon where AI models perceive patterns or objects that do not exist or are beyond human detection.

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        Topics: Digital Technology, AI and Machine Learning

        Ventana Research recently announced its 2024 Market Agenda for the Office of Finance, continuing the guidance we have provided since 2004 on the practical use of technology for the finance and accounting department. Our insights and best practices aim to enable enterprises to operate with agility and resiliency, improving performance and delivering greater value as a strategic partner.

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        Topics: Office of Finance, Business Planning, ERP and Continuous Accounting, digital finance, Consolidate/Close/Report

        Ventana Research has announced its market agenda for 2024, continuing a 20-year tradition of credibility and trust in our objective efforts to educate and guide the technology industry. Our research and insights are backed by our expertise and independence, and we do not share our Market Agenda or our market research, including analyst and market perspectives, with any external party before it is published. We continuously refine our Market Agenda throughout the year to ensure we offer the...

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        Topics: Customer Experience, Human Capital Management, Marketing, Office of Finance, Digital Technology, Operations & Supply Chain, AI, Digital Business, Analytics & Data, Office of Revenue

        I recently published an Analyst Perspective on how the rise of omnichannel buyer engagement coupled with subscription pricing is increasing the complexity in achieving corporate targets. An example is the software provider who implemented a new self-service capability to speed fulfillment for existing customers by enabling the direct purchase of additional licenses without assistance from the assigned salesperson. But the desired outcome of faster fulfillment wasn’t realized. The initiative did...

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        Topics: Revenue Management, Office of Revenue

        Discussion about potential deployment locations for analytics and data workloads is often based on the assumption that, for enterprise workloads, there is a binary choice between on-premises data centers and public cloud. However, the low-latency performance or sovereignty characteristics of a significant and growing proportion of workloads make them better suited to data and analytics processing where data is generated rather than a centralized on-premises or public cloud environment. ...

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        Topics: Cloud Computing, Internet of Things, Data, Digital Technology, Analytics & Data, operational data platforms, Analytic Data Platforms, AI and Machine Learning

        Sales and operations planning (S&OP) is trending toward becoming more strategic in product-centric companies through the end of the decade. The purpose of S&OP has grown in importance. Since the mid-teens, the trade and economic environment has become less benign and more unpredictable, forcing many enterprises to redesign their supply chains for resiliency while still surmounting the dual challenges of remaining cost competitive and achieving financial targets. Over the past decade, there have...

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        Topics: Continuous Planning, Operations & Supply Chain, Enterprise Resource Planning, digital finance, Sustainability Management, AI and Machine Learning

        Every contact center agent represents an incredible investment in time and money even before that person starts working with customers. The costs associated with the labor force — and the need to continually replace agents who leave — have long forced managers to use technology to optimize performance and processes. Much of the technology that was developed decades ago is still relevant and in use for quality management and workforce efficiency. Advances in related areas like artificial...

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        Topics: Customer Experience, Contact Center, agent management

        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...

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        Topics: Data Management, Data, Digital Technology, data operations, Analytics & Data, operational data platforms, Analytic Data Platforms

        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...

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        Topics: Digital Technology, robotic automation

        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:

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        Topics: Office of Finance, Business Planning, Enterprise Resource Planning, ERP and Continuous Accounting, digital finance, Revenue, Lease and Tax Accounting, Purchasing/Sourcing/Payments, Consolidate/Close/Report, Continuous Supply Chain & ERP

        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. 

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        Topics: Analytics, Business Intelligence, Data Management, Data, Digital Technology, data operations, Analytics & Data, AI and Machine Learning

        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. 

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        Topics: Customer Experience, Contact Center, Knowledge Management, agent management, Intelligent Self-Service, Generative AI, GenAI
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        Our Analyst Perspective Policy

        • Ventana Research’s Analyst Perspectives are fact-based analysis and guidance on business, industry and technology vendor trends. Each Analyst Perspective presents the view of the analyst who is an established subject matter expert on new developments, business and technology trends, findings from our research, or best practice insights.

          Each is prepared and reviewed in accordance with Ventana Research’s strict standards for accuracy and objectivity and reviewed to ensure it delivers reliable and actionable insights. It is reviewed and edited by research management and is approved by the Chief Research Officer; no individual or organization outside of Ventana Research reviews any Analyst Perspective before it is published. If you have any issue with an Analyst Perspective, please email them to ChiefResearchOfficer@ventanaresearch.com

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