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        Analyst Perspectives

        Automation uses technology to perform tasks or functions that would otherwise require human intervention or effort. Automation has existed for decades, and it takes many forms. It handles routine tasks, freeing time for knowledge workers to perform other activities that require creativity, subjectivity or empathy. Automation can also improve the quality, efficiency and consistency of business processes as well as enhance customer satisfaction and brand loyalty.

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        Topics: Digital Technology, robotic automation, AI and Machine Learning

        The publication of Ventana Research’s 2023 Operational Data Platforms Value Index earlier this year highlighted the importance of incorporating analytic processing into operational applications to deliver personalization and recommendations for workers, partners and customers. This importance is being accelerated by interest in generative AI, especially large language models. The emergence of intelligent applications has impacted the requirements for operational data platforms with the need to...

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        Topics: Analytics, Cloud Computing, Data, Digital Technology, analytic data platforms, Analytics and Data, AI and Machine Learning

        I recently attended Sage Software’s Partner Summit. Implementation partners account for most of the sales and implementation of finance and accounting applications designed for small and midsize businesses, so they are important to the success of the software vendor. These events are designed to inform partners of product enhancements and the product and technology roadmap as well as provide a perspective on market conditions and trends.

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        Topics: Office of Finance, Business Planning, ERP and Continuous Accounting, AI and Machine Learning

        A lot has been written about the definition of generative artificial intelligence (AI) and large language models (LLMs), though less has been written about the business considerations for an organization to evaluate adopting and implementing these technologies. And more importantly, does the technology align with the Office of the CIO objectives and the goals of the business? The value of generative AI software must be put into terms that all stakeholders can relate to. And organizations cannot...

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        Topics: Digital Technology, natural language processing, Collaborative & Conversational Computing, AI and Machine Learning

        The Office of Finance can be compared to a numbers factory where the main raw material, data, is transformed into financial statements, management accounting, analyses, forecasts, budgets, regulatory filings, tax returns and all kinds of reports. Data is the strategic raw material of the finance and accounting department. It is the key ingredient in every sale and purchase as well as every transaction of any description. Quality control is essential to achieving high standards of output in any...

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        Topics: Office of Finance, embedded analytics, Analytics, Business Intelligence, Data Management, Business Planning, ERP and Continuous Accounting, data operations, analytic data platforms, AI and Machine Learning

        The data and analytics sector rightly places great importance on data quality: Almost two-thirds (64%) of participants in Ventana Research’s Analytics and Data Benchmark Research cite reviewing data for quality and consistency issues as the most time-consuming task in analyzing data. Data and analytics vendors would not recommend that customers use tools known to have data quality problems. It is somewhat surprising, therefore, that data and analytics vendors are rushing to encourage customers...

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        Topics: Analytics, Data Governance, Data Management, Data, Digital Technology, natural language processing, Analytics and Data, AI and Machine Learning

        Artificial intelligence (AI) has evolved from a highly specialized niche technology to a worldwide phenomenon. Nearly 9 in 10 organizations use or plan to adopt AI technology. Several factors have contributed to this evolution. First, the amount of data they can collect and store has increased dramatically while the cost of analyzing these large amounts of data has decreased dramatically. Data-driven organizations need to process data in real time which requires AI. In addition, analytics...

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        Topics: Analytics, Digital Technology, natural language processing, Analytics and Data, AI and Machine Learning

        Artificial intelligence (AI) has become ubiquitous in discussions of contact center technology. Vendors are rushing to incorporate it into platforms and applications. And end users have understandably mixed feelings about where it makes sense to use and what its impacts will be. No one should be surprised that AI has arrived, especially for customer support: Software companies have been working on customer experience (CX)- -related AI applications for many years, and the fruits of those efforts...

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        Topics: Customer Experience, Contact Center, agent management, AI and Machine Learning

        The data platforms market has traditionally been divided between products specifically designed to support operational or analytic workloads, with other market segments having emerged in recent years for data platforms targeted specifically at data science and machine learning (ML), as well as real-time analytics. More recently, we have seen vendor strategies evolving to provide a more consolidated approach, with data platforms designed to address a combination of analytics and data science, as...

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        Topics: Analytics, Business Intelligence, Cloud Computing, Data, Digital Technology, analytic data platforms, Analytics and Data, AI and Machine Learning

        OneStream offers a platform designed to serve the needs of accounting and financial planning and analysis organizations. The software handles financial close and consolidation, planning and budgeting, analysis and reporting. The most notable part of the company’s presentations at its annual user group meeting – Splash – was the strategy and roadmap for its two artificial intelligence initiatives, Sensible ML and Sensible GPT. The former, unveiled last year, is a platform approach to applying...

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        Topics: Office of Finance, AI and Machine Learning
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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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