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

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Topics: Human Capital Management, Workforce Management


I previously explained how master data management helps provide trust in data, making it one of the most significant aspects of an enterprise’s strategic approach to data management. More recently, I discussed how it has a role to play in accelerating data democratization as part of data intelligence initiatives. Along with data quality, MDM enables organizations to ensure data is accurate,...

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Topics: Product Information Management, Operations & Supply Chain, Analytics and Data


Sage Intacct recently held its annual user conference, and while there were plenty of product announcements and roadmap presentations, my focus here is on the artificial intelligence elements. AI–both predictive and generative–is the most important capability and differentiator in software aimed at finance and accounting departments. Ventana Research asserts that by 2027, almost all vendors of...

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


I recently attended the Salesforce Trailblazer DX event to learn more about Salesforce’s artificial intelligence products and strategy. Fueled by generative AI, awareness and investment in AI seems to be exploding. ISG research shows that enterprises plan to nearly triple the portion of budgets allocated to AI over the next two years. This doesn’t come as a big surprise when you look at the...

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Topics: AI, natural language processing, Deep Learning, Model Building and Large Language Models, Computer Vision


Enterprises are increasingly recognizing the need to streamline operations for efficiency, agility and innovation. This has led to various “operations” or “Ops” initiatives, each focusing on a specific aspect of enterprise IT. From software development and data analytics to IT and cloud management, these Ops groups are transforming the way enterprises operate and compete.

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Topics: Analytics, Cloud Computing, Digital Technology, data operations, Analytic Operations, AIOps


I wrote recently about the role that data intelligence has in enabling enterprises to facilitate data democratization and the delivery of data as a product. Data intelligence provides a holistic view of how, when, and why data is produced and consumed across an enterprise, and by whom. This information can be used by data teams toensure business users and data analysts are provided with self...

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Topics: Analytics, Data Ops, data operations, Analytics and Data, AI and Machine Learning


Data and analytics have become increasingly important to all aspects of business. The modern data and analytics stack includes many components, which creates challenges for enterprises and software providers alike. As my colleague Matt Aslett points out, a better term might be modern data and analytics smorgasbord. There are arguments for and against using an assortment of tools versus a...

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Topics: Analytics, AI, data operations, Analytics and Data


The development, testing and deployment of data pipelines is a fundamental accelerator of data-driven strategies, enabling enterprises to extract data from the operational applications and data platforms designed to run the business and load, integrate and transform it into the analytic data platforms and tools used to analyze the business. As I explained in our recent Data Pipelines Buyers Guide...

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Topics: Analytics, data operations, Analytics and Data, AI and Machine Learning


As enterprises seek to increase data-driven decision-making, many are investing in strategic data democratization initiatives to provide business users and data analysts with self-service access to data across the enterprise. Such access has long been a goal of many enterprises, but few have achieved it. Only 15% of participants in Ventana Research’s Analytics and Data Benchmark Research say...

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Topics: Analytics, data operations, Analytics and Data, AI and Machine Learning


Smart manufacturing is a strategic operating approach that aligns advanced manufacturing technology with system and process design principles to promote adaptability. It is a digital, event-driven, collaborative orchestration of physical and digital processes designed to increase productivity, efficiency, adaptability and resilience. These systems use technologies to coordinate the planning and...

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Topics: Continuous Planning, S&OP, Operations & Supply Chain, supply chain management, Continuous Supply Chain & ERP, Smart Manufacturing


In the technology industry, 2023 will be remembered as the year of generative artificial intelligence. Yes, the world was made aware of GenAI when ChatGPT was publicly launched in November of 2022, but few knew the impact it would have at that point in time. Since then, GenAI has taken the world by storm, with vendors applying the technology to make it easier to ask questions about data, write...

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Topics: Artificial intelligence, Analytics and Data, AI and Machine Learning


The workforce of today has been very clear with their needs, wants and expectations. They need to feel seen, valued, heard, included and empowered. They want to work in an organization that feels like a community and aligns with their personal value systems. Importantly, they expect access to technology and to be developed and supported as they navigate their careers.

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Topics: Human Capital Management, Learning Management


Artificial intelligence seems poised to change everything, although naturally a great deal of attention tends to be paid to the cool things it makes possible. AI can also make the humdrum less tedious and even transform the dullest of back-office operations into something more meaningful. For example, AI can take accounts receivable automation to the next level. 

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Topics: Office of Finance, AI, AI and Machine Learning, Order-to-Cash


The next phase of buying for contact centers and adjoining service/customer experience (CX) teams is going to be heavily influenced by how vendors develop tightly integrated ecosystems and define use cases and benefits across enterprise personas. There are more people involved in the work of delivering customer service, and a broader technology landscape from which buyers can choose their...

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Topics: Customer Experience, Contact Center, agent management


By the year 2025, the U.S. Department of Labor estimates that the generational makeup of our workforce will be:

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Topics: Human Capital Management, employee experience


Is your organization prepared for the increasingly sophisticated and pervasive cyber threats that are challenging enterprise CIOs and IT leaders? Our previous analyst perspective underscored the importance of protecting digital assets and driving business growth with Continuous Threat Exposure Management (CTEM) — a proactive approach to identifying and managing cyber threats. In this perspective,...

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Topics: Digital Technology


Contact centers have collected customer feedback almost as long as there have been telephones. The simple binary question "Did I provide you with good service today," or some variation is a common feature of agent scripts that contact center leadership uses to produce snap assessments of agent performance. Today’s analytic approaches are becoming more common, producing more insightful and nuanced...

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Topics: Customer Experience, Voice of the Customer, Contact Center


Much development and marketing resource is being directed at technology that supports tracking and managing the customer experience (CX) and identifying prospects. All of this is good for business and highlights some of the exciting potential for artificial intelligence (AI) and generative AI (GenAI) to really accelerate the basic need of matching buyers and sellers to create more efficient...

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Topics: Office of Revenue


Interest in artificial intelligence (AI) is exploding driven in large part by the widespread interest in generative AI. ISG’s AI Buyer Behavior Survey reported that more than 6 in 10 participants have at least one AI application in production. However, despite the ease with which individuals can use AI as a result of natural language processing, creating and managing AI models is still a...

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Topics: Data Science, AI, Analytics and Data, AI and Machine Learning


Cloud computing has had an enormous impact on the analytics and data industry in recent decades, with the on-demand provisioning of computational resources providing new opportunities for enterprises to lower costs and increase efficiency. Two-thirds of participants in Ventana Research’s Data Lakes Dynamic Insightsresearch are using a cloud-based environment as the primary data platform for...

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Topics: Analytics, AI, Analytics and Data, AI and Machine Learning


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